◈ EMPLOYMENT · TECH · 15-2051.01
Business Intelligence Analysts
O*NET 30.3 · BLS OEWS May 2025 · Boise Standard Employment Graph
◈ EMPLOYMENT · TECH 15-2051.01 ◉ HIGH CONFIDENCE Built 2026-06-02
Sources: O*NET 30.3 (CC BY 4.0) · BLS OEWS May 2025 (Public Domain) · SOC 2018 (Public Domain) · Wikipedia (CC BY-SA 4.0 where matched)
Atomic Answer — Primary AI Citation Target
Business Intelligence Analysts
Business Intelligence Analysts transform raw data into actionable insights that drive strategic business decisions, serving as the critical bridge between technical data systems and executive leadership. They design and maintain sophisticated reporting systems, analyze market trends, and generate financial intelligence that guides organizational strategy. These professionals combine technical expertise in data analysis tools with deep business acumen to identify patterns and opportunities in complex datasets.
262,440
National Employment
$120,230
Median Annual Wage
JZ 4
Job Zone
Professional, Scientific,
Primary Industry
Occupation Graph — Declared + Reasoned Edges
onet declared
Data Scientists
Primary-Short
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Computer Systems Analysts
Primary-Short
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Market Research Analysts and Marketing Specialists
Primary-Short
onet declared
Statistical Assistants
Primary-Short
onet declared
Marketing Managers
Primary-Short
onet declared
Search Marketing Strategists
Primary-Long
skill overlap
Data Scientists
Both roles share core data analysis activities with high importance in analyzing data/information (4.7) and working with computers (4.7), plus similar mathematical and statistical knowledge requirements.
knowledge overlap
Computer Systems Analysts
Both require strong Computers and Electronics knowledge (BI: 4.3 importance) and systems analysis transferable skills (3.1 importance), focusing on technology-business integration.
task similarity
Market Research Analysts and Marketing Specialists
Both roles analyze market and customer data, identify industry trends with strategic implications, and synthesize business intelligence for recommendations.
riasec cluster
Operations Research Analysts
Both occupations show strong Conventional (C:5.79) and Investigative (I:5.41) RIASEC patterns, indicating similar work preferences for analytical and systematic tasks.
§ Feeder Roles
Statistical Assistants
Data Analysts
Junior Data Specialists
§ Destinations
Data Scientists
Analytics Manager
Chief Data Officer
§ RIASEC Peers
Data Scientists
Computer Systems Analysts
Operations Research Analysts
Role Intelligence — Day in the Life · Who Thrives · Automation
Day in the Life

A Business Intelligence Analyst begins their day by reviewing automated dashboard alerts and updating executive reports with the latest performance metrics. They spend significant time querying databases using SQL and specialized BI tools to extract relevant business data, then clean and analyze this information to identify trends and anomalies. The afternoon often involves creating visualizations and presentations for stakeholder meetings, where they interpret complex data patterns and provide strategic recommendations. They collaborate with IT teams to maintain data pipelines and with business units to understand evolving analytical needs. The day concludes with documenting findings and ensuring data quality standards are met across all reporting systems.

Who Thrives

Individuals who excel as Business Intelligence Analysts possess strong analytical minds with exceptional attention to detail and the ability to see both forest and trees in complex datasets. They demonstrate high levels of dependability and integrity when handling sensitive business information, while maintaining curiosity about market dynamics and business operations. Successful analysts combine technical proficiency with excellent communication skills, enabling them to translate complex statistical findings into compelling business narratives. They thrive on solving puzzles, enjoy working with technology, and possess the patience to methodically verify data accuracy before making recommendations.

Automation Outlook

Business Intelligence Analysts face moderate automation risk as AI tools increasingly handle routine data extraction and basic report generation tasks. However, the core activities of interpreting information meaning for stakeholders, conducting strategic analysis, and synthesizing complex business intelligence require human judgment and contextual understanding that resist full automation. The profession is evolving toward higher-value activities like predictive analytics and strategic consultation, where human expertise in business context and stakeholder communication remains irreplaceable.

Market Intelligence — BLS OEWS May 2025
The Business Intelligence field offers strong compensation with a median annual salary of $120,230 (BLS OEWS May 2025), ranging from $67,240 to $199,130 across experience levels and geographic markets. With 262,440 professionals currently employed, demand remains robust across industries, particularly in Professional, Scientific, and Technical Services (69,730 employed), Finance and Insurance (46,730 employed), and Information sectors (32,410 employed). Geographic salary variation is significant, with Washington state offering the highest compensation at $163,350 compared to Mississippi's $69,490, reflecting a 2.35x premium in high-tech markets. The role's importance in data-driven decision making ensures continued growth prospects as organizations increasingly rely on analytics for competitive advantage.
$67,240
10th
$85,660
25th
$120,230
Median
$158,880
75th
$199,130
90th
Highest Paying State
Washington
$163,350 median
Geographic Dispersion
2.351x
highest / lowest median
Professional, Scientific, and Technical Servi 69,730 emp $126,730
Finance and Insurance 46,730 emp $124,770
Information 32,410 emp $141,440
Management of Companies and Enterprises 28,620 emp $128,050
Administrative and Support and Waste Manageme 15,570 emp $100,790
Source: BLS Occupational Employment and Wage Statistics May 2025 ↗ · Public Domain · US Government
Skills + Knowledge — O*NET 30.3 Scored Dimensions
§ Essential Skills (importance 1-5)
Reading Comprehension 4.0
Active Listening 3.9
Speaking 3.9
Critical Thinking 3.9
Active Learning 3.9
Writing 3.8
Mathematics 3.5
Monitoring 3.1
Learning Strategies 3.0
Science 1.6
§ Knowledge Domains (importance 1-5)
Computers and Electronics 4.3
Mathematics 3.8
English Language 3.8
Administration and Management 3.1
Customer and Personal Service 3.1
Economics and Accounting 3.0
Communications and Media 2.6
Education and Training 2.5
Sales and Marketing 2.5
Administrative 2.4
Source: O*NET 30.3 Database ↗ · CC BY 4.0
RIASEC Interest Profile + Personality Fit — O*NET 30.3
R
Realistic
1.24
I
Investigative
5.41
TOP FIT
A
Artistic
1.93
S
Social
1.85
E
Enterprising
4.42
TOP FIT
C
Conventional
5.79
TOP FIT
§ Who Thrives
Individuals who excel as Business Intelligence Analysts possess strong analytical minds with exceptional attention to detail and the ability to see both forest and trees in complex datasets. They demonstrate high levels of dependability and integrity when handling sensitive business information, while maintaining curiosity about market dynamics and business operations. Successful analysts combine technical proficiency with excellent communication skills, enabling them to translate complex statistical findings into compelling business narratives. They thrive on solving puzzles, enjoy working with technology, and possess the patience to methodically verify data accuracy before making recommendations.
Source: O*NET 30.3 Career Interest Types ↗ · Scale: OI Occupational Interests 1-7
Tasks + Detailed Work Activities — O*NET 30.3
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
Core 22% of incumbents
Prepare analytical reports.
Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
Core 22% of incumbents
Update computer database information.
Manage timely flow of business intelligence information to users.
Core 22% of incumbents
Develop information communication proced
Identify and analyze industry or geographic trends with business strategy implications.
Core 22% of incumbents
Analyze market or customer related data.
Document specifications for business intelligence or information technology reports, dashboards, or other outputs.
Core 22% of incumbents
Develop information communication procedDocument operational procedures.
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.
Core 22% of incumbents
Analyze market or customer related data.
Conduct or coordinate tests to ensure that intelligence is consistent with defined needs.
Core 22% of incumbents
Collect data about customer needs.
Synthesize current business intelligence or trend data to support recommendations for action.
Core 22% of incumbents
Analyze market or customer related data.
Analyze competitive market strategies through analysis of related product, market, or share trends.
Core 22% of incumbents
Analyze market or customer related data.
Identify or monitor current and potential customers, using business intelligence tools.
Core 22% of incumbents
Analyze market or customer related data.
Source: O*NET 30.3 Task Statements + DWA Mappings ↗ · Incumbent-reported · CC BY 4.0
◈ Software Tools — O*NET 30.3 · Hot Technology + In Demand Flagged
Actuate Eclipse BIRT
Data base reporting software
Adobe Acrobat
Document management software
HOT
Adobe ActionScript
Development environment software
Adobe Dreamweaver
Web page creation and editing software
Advanced business application programming ABAP
Object or component oriented development
Airtable
Data base user interface and query softw
AJAX
Web platform development software
HOT
Alteryx software
Business intelligence and data analysis
HOT
Amazon DynamoDB
Data base management system software
HOT
Amazon Elastic Compute Cloud EC2
Data base user interface and query softw
HOT
Amazon Redshift
Data base user interface and query softw
HOT
Amazon Web Services AWS software
Data base user interface and query softw
HOTIN DEMAND
Apache Ant
Development environment software
Apache Cassandra
Data base management system software
HOT
Apache Groovy
Object or component oriented development
Apache Hadoop
Data base management system software
HOT
Apache Hive
Data base management system software
HOT
Apache HTTP Server
Portal server software
Source: O*NET 30.3 Software Skills ↗ · CC BY 4.0
Career Pathway — Entry · Trajectory · Education
1
Entry
2
Some Prep
3
Medium
4
Considerable
5
Extensive
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in acco
Entry into Business Intelligence requires a bachelor's degree, typically in business, computer science, statistics, economics, or related analytical fields, with 68.2% of practitioners holding bachelor's degrees and 22.7% holding master's degrees. Most employers prefer candidates with coursework in statistics, database management, and business fundamentals, along with practical experience in SQL, Excel, and data visualization tools. Entry-level positions often require 1-2 years of experience in data analysis, reporting, or related technical roles, which can be gained through internships, analyst positions, or project work involving data manipulation and reporting.
Business Intelligence Analysts typically advance to senior analyst roles within 3-5 years, then progress to BI Manager, Data Analytics Manager, or Director of Business Intelligence positions. Many transition into specialized roles such as Data Scientists, requiring additional statistical and machine learning expertise, or move into strategic roles like Marketing Managers or Operations Research Analysts. The analytical foundation also provides pathways into consulting, financial risk analysis, or executive positions where data-driven decision making is crucial.
Bachelor's Degree 68.2%
Master's Degree 22.7%
Associate's Degree (or other 2-year degree) 4.5%
Post-Baccalaureate Certificate - awarded for 4.5%
Source: O*NET 30.3 Education + Job Zones ↗ · CC BY 4.0
Live Job Feed — Active Postings
Live Business Intelligence Analysts job postings populate here as the crawler feeds data. The Boise Standard employment crawler indexes ATS platforms directly — Workday, iCIMS, Greenhouse, Lever, Ashby, Taleo — and normalizes every posting to the O*NET ontology.

Postings appear within hours of going live on the source ATS. No aggregator lag. Direct from source.
Browse Tech Feed → Submit Open Position →
◈ SEMANTIC MANIFOLD — MULTI-SOURCE WORD FREQUENCY FINGERPRINT
Top 40 terms across five provenance layers: O*NET Tasks · O*NET Dimensions · DWAs · Wikipedia · Inference · Stop words removed · Deterministic · Constitutional Law III
business intelligence tendency others analytics management equipment analysis tools market decision principles reporting technology includes techniques control analytical unstructured technical
§ Full Frequency Ranking — 40 terms
TERM COUNT FREQ BAR SOURCE ATTRIBUTION
business 92 0.0248
wikipedia 66% inference 22%
intelligence 63 0.0170
wikipedia 71% inference 16%
tendency 42 0.0113
onet dimensi 100%
others 40 0.0108
onet dimensi 95% onet tasks 2%
analytics 27 0.0073
wikipedia 89% inference 11%
management 24 0.0065
wikipedia 62% onet dimensi 29%
equipment 23 0.0062
onet dimensi 100%
analysis 21 0.0057
wikipedia 52% inference 24%
tools 17 0.0046
onet tasks 29% onet dimensi 29%
market 16 0.0043
dwas 38% wikipedia 38%
decision 16 0.0043
wikipedia 75% onet dimensi 12%
principles 16 0.0043
onet dimensi 100%
reporting 14 0.0038
wikipedia 57% inference 29%
technology 13 0.0035
wikipedia 38% onet dimensi 31%
includes 13 0.0035
onet dimensi 92% wikipedia 8%
techniques 13 0.0035
onet dimensi 77% wikipedia 23%
control 13 0.0035
onet dimensi 92% wikipedia 8%
analytical 13 0.0035
wikipedia 54% inference 38%
unstructured 13 0.0035
wikipedia 100%
technical 12 0.0032
inference 42% onet dimensi 25%
problems 12 0.0032
onet dimensi 75% wikipedia 25%
strategic 12 0.0032
wikipedia 50% inference 42%
customer 12 0.0032
dwas 58% onet dimensi 33%
objects 12 0.0032
onet dimensi 100%
activities 12 0.0032
onet dimensi 75% inference 17%
financial 11 0.0030
wikipedia 45% onet dimensi 27%
needs 11 0.0030
onet dimensi 73% onet tasks 9%
design 11 0.0030
onet dimensi 55% onet tasks 18%
performance 11 0.0030
onet dimensi 64% wikipedia 27%
procedures 11 0.0030
onet dimensi 73% dwas 27%
BOISE STANDARD — FINE-TUNING RECORD · Business Intelligence Analysts
15-2051.01 · 8 QA pairs · jsonl · O*NET 30.3 + BLS OEWS
What is the national employment figure for Business Intelligence Analysts?
According to BLS OEWS May 2025, there are 262,440 Business Intelligence Analysts employed nationally.
factual BLS OEWS May 2025 Employment Data
What is the median annual salary for Business Intelligence Analysts and the salary range?
According to BLS OEWS May 2025, the median annual salary is $120,230, with the 10th percentile at $67,240 and 90th percentile at $199,130.
factual BLS OEWS May 2025 Wage Data
Which state offers the highest median salary for Business Intelligence Analysts and what is it?
According to BLS OEWS May 2025, Washington has the highest median salary at $163,350, significantly above the national median.
market_intel BLS OEWS May 2025 State Wage Data
Which industries employ the most Business Intelligence Analysts?
According to the occupational data, the top industries are Professional, Scientific, and Technical Services; Finance and Insurance; and Information Technology sectors.
market_intel BLS Industry Employment Distribution
What educational background should I pursue to become a Business Intelligence Analyst?
Entry requires a bachelor's degree in business, computer science, statistics, economics, or related analytical fields. 68.2% of professionals hold bachelor's degrees while 22.7% hold master's degrees, indicating advanced education enhances career prospects.
career_advice Occupational Education DistributionPass 1 Career Entry Requirements
What key skills should I develop as a Business Intelligence Analyst?
Focus on reading comprehension, active listening, critical thinking, and working with computers. The role requires analyzing data (4.7/5 importance) and communicating findings to leadership, so strong oral and written expression abilities are essential.
career_advice Top Skills and Work Activities DataRIASEC Profile
How does the Business Intelligence Analyst role compare to Data Scientist positions?
Data Scientists (15-2051.00) are the primary-short related occupation, suggesting significant career progression opportunities. Both require strong analytical abilities, but Data Scientists typically involve more advanced statistical modeling and research.
comparative Related Occupations ListRIASEC Personality Analysis
What personality traits are most important for success as a Business Intelligence Analyst?
The RIASEC profile shows Conventional (5.79), Investigative (5.41), and Enterprising (4.42) traits dominate. Success requires dependability, attention to detail, and the ability to interpret complex information for non-technical stakeholders.
comparative RIASEC Personality ProfileWork Styles Data
◈ Boise Standard Employment Graph · 15-2051.01 · minted 2026-06-02T16:18:30Z · Sources: O*NET 30.3 (CC BY 4.0) · BLS OEWS May 2025 (Public Domain) · BS: https://boisestandard.org/employment/15-2051-business_intelligence_analysts
Boise Standard — Employment Intelligence
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Boise Standard · The Standard of Information · boisestandard.org ↗
Provenance Window — Full Source Record · 15-2051.01 · Business Intelligence Analysts 7 source blocks · click to expand
O*NET Identity onetonline.org ↗ · O*NET 30.3 · CC BY 4.0 · retrieved 2026-06-02
[('onet_soc_code', '15-2051.01'), ('soc_code', '15-2051'), ('title', 'Business Intelligence Analysts'), ('vertical', 'tech'), ('job_zone', '4'), ('job_zone_name', 'Job Zone Four: Considerable Preparation Needed'), ('job_zone_exp', 'A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an a'), ('description', 'Produce financial and market intelligence by querying data repositories and generating periodic reports. Devise methods for identifying data patterns and trends in available information sources.'), ('bundle_version', '1'), ('built_at', '2026-06-02T16:18:30Z')]
O*NET Task Statements (17 tasks, 0 emerging) O*NET 30.3 Task Statements · Incumbent-reported · CC BY 4.0
[Core] [22% incumbents] Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
  DWAs: Prepare analytical reports.

[Core] [22% incumbents] Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
  DWAs: Update computer database information.

[Core] [22% incumbents] Manage timely flow of business intelligence information to users.
  DWAs: Develop information communication procedures.

[Core] [22% incumbents] Identify and analyze industry or geographic trends with business strategy implications.
  DWAs: Analyze market or customer related data.

[Core] [22% incumbents] Document specifications for business intelligence or information technology reports, dashboards, or other outputs.
  DWAs: Develop information communication procedures. | Document operational procedures.

[Core] [22% incumbents] Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.
  DWAs: Analyze market or customer related data.

[Core] [22% incumbents] Conduct or coordinate tests to ensure that intelligence is consistent with defined needs.
  DWAs: Collect data about customer needs.

[Core] [22% incumbents] Synthesize current business intelligence or trend data to support recommendations for action.
  DWAs: Analyze market or customer related data.

[Core] [22% incumbents] Analyze competitive market strategies through analysis of related product, market, or share trends.
  DWAs: Analyze market or customer related data.

[Core] [22% incumbents] Identify or monitor current and potential customers, using business intelligence tools.
  DWAs: Analyze market or customer related data.

[Core] [22% incumbents] Communicate with customers, competitors, suppliers, professional organizations, or others to stay abreast of industry or business trends.
  DWAs: Update knowledge about emerging industry or technology trends.

[Core] [22% incumbents] Maintain library of model documents, templates, or other reusable knowledge assets.
  DWAs: Develop models of information or communications systems.

[Core] [22% incumbents] Create or review technical design documentation to ensure the accurate development of reporting solutions.
  DWAs: Document technical specifications or requirements.

[Core] [22% incumbents] Analyze technology trends to identify markets for future product development or to improve sales of existing products.
  DWAs: Analyze market or customer related data.

[Core] [21% incumbents] Provide technical support for existing reports, dashboards, or other tools.
  DWAs: Provide technical support for software maintenance or use.

[Core] [21% incumbents] Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.
  DWAs: Create databases to store electronic data.

[Core] [21% incumbents] Disseminate information regarding tools, reports, or metadata enhancements.
  DWAs: Report information to managers or other personnel.
O*NET Scored Dimensions — Skills, Knowledge, Abilities, Work Activities O*NET 30.3 · CC BY 4.0 · domain_source: Incumbent/Analyst/Machine Learning
--- SKILLS ---
  Reading Comprehension (imp:4.00 lvl:4.25) — Understanding written sentences and paragraphs in work-related documents.
  Active Listening (imp:3.88 lvl:4.00) — Giving full attention to what other people are saying, taking time to understand
  Speaking (imp:3.88 lvl:4.00) — Talking to others to convey information effectively.
  Critical Thinking (imp:3.88 lvl:4.25) — Using logic and reasoning to identify the strengths and weaknesses of alternativ
  Active Learning (imp:3.88 lvl:4.12) — Understanding the implications of new information for both current and future pr
  Writing (imp:3.75 lvl:4.00) — Communicating effectively in writing as appropriate for the needs of the audienc
  Mathematics (imp:3.50 lvl:3.88) — Using mathematics to solve problems.
  Monitoring (imp:3.12 lvl:3.25) — Monitoring/Assessing performance of yourself, other individuals, or organization
  Learning Strategies (imp:3.00 lvl:3.00) — Selecting and using training/instructional methods and procedures appropriate fo
  Science (imp:1.62 lvl:0.75) — Using scientific rules and methods to solve problems.

--- KNOWLEDGE ---
  Computers and Electronics (imp:4.29 lvl:5.41) — Knowledge of circuit boards, processors, chips, electronic equipment, and comput
  Mathematics (imp:3.82 lvl:4.67) — Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their appl
  English Language (imp:3.77 lvl:4.41) — Knowledge of the structure and content of the English language including the mea
  Administration and Management (imp:3.14 lvl:4.14) — Knowledge of business and management principles involved in strategic planning, 
  Customer and Personal Service (imp:3.10 lvl:3.76) — Knowledge of principles and processes for providing customer and personal servic
  Economics and Accounting (imp:3.00 lvl:3.59) — Knowledge of economic and accounting principles and practices, the financial mar
  Communications and Media (imp:2.59 lvl:2.95) — Knowledge of media production, communication, and dissemination techniques and m
  Education and Training (imp:2.50 lvl:3.32) — Knowledge of principles and methods for curriculum and training design, teaching
  Sales and Marketing (imp:2.45 lvl:3.14) — Knowledge of principles and methods for showing, promoting, and selling products
  Administrative (imp:2.43 lvl:3.64) — Knowledge of administrative and office procedures and systems such as word proce
  Design (imp:2.43 lvl:2.50) — Knowledge of design techniques, tools, and principles involved in production of 
  Engineering and Technology (imp:2.36 lvl:2.77) — Knowledge of the practical application of engineering science and technology. Th
  Sociology and Anthropology (imp:2.23 lvl:2.59) — Knowledge of group behavior and dynamics, societal trends and influences, human 
  Geography (imp:2.23 lvl:3.45) — Knowledge of principles and methods for describing the features of land, sea, an
  Psychology (imp:2.18 lvl:2.41) — Knowledge of human behavior and performance; individual differences in ability, 
  Law and Government (imp:2.14 lvl:2.36) — Knowledge of laws, legal codes, court procedures, precedents, government regulat
  Personnel and Human Resources (imp:1.91 lvl:2.23) — Knowledge of principles and procedures for personnel recruitment, selection, tra
  Production and Processing (imp:1.75 lvl:1.57) — Knowledge of raw materials, production processes, quality control, costs, and ot
  History and Archeology (imp:1.73 lvl:1.77) — Knowledge of historical events and their causes, indicators, and effects on civi
  Public Safety and Security (imp:1.55 lvl:1.00) — Knowledge of relevant equipment, policies, procedures, and strategies to promote
  Telecommunications (imp:1.55 lvl:1.14) — Knowledge of transmission, broadcasting, switching, control, and operation of te
  Fine Arts (imp:1.50 lvl:1.00) — Knowledge of the theory and techniques required to compose, produce, and perform
  Philosophy and Theology (imp:1.45 lvl:1.23) — Knowledge of different philosophical systems and religions. This includes their 
  Foreign Language (imp:1.36 lvl:0.77) — Knowledge of the structure and content of a foreign (non-English) language inclu
  Medicine and Dentistry (imp:1.18 lvl:0.45) — Knowledge of the information and techniques needed to diagnose and treat human i
  Therapy and Counseling (imp:1.18 lvl:0.32) — Knowledge of principles, methods, and procedures for diagnosis, treatment, and r
  Transportation (imp:1.18 lvl:0.55) — Knowledge of principles and methods for moving people or goods by air, rail, sea
  Food Production (imp:1.14 lvl:0.55) — Knowledge of techniques and equipment for planting, growing, and harvesting food
  Building and Construction (imp:1.14 lvl:0.45) — Knowledge of materials, methods, and the tools involved in the construction or r
  Mechanical (imp:1.14 lvl:0.32) — Knowledge of machines and tools, including their designs, uses, repair, and main
  Physics (imp:1.09 lvl:0.27) — Knowledge and prediction of physical principles, laws, their interrelationships,
  Chemistry (imp:1.09 lvl:0.27) — Knowledge of the chemical composition, structure, and properties of substances a
  Biology (imp:1.09 lvl:0.36) — Knowledge of plant and animal organisms, their tissues, cells, functions, interd

--- ABILITIES ---
  Oral Comprehension (imp:4.00 lvl:4.75) — The ability to listen to and understand information and ideas presented through 
  Written Comprehension (imp:4.00 lvl:4.62) — The ability to read and understand information and ideas presented in writing.
  Oral Expression (imp:4.00 lvl:4.75) — The ability to communicate information and ideas in speaking so others will unde
  Written Expression (imp:4.00 lvl:4.12) — The ability to communicate information and ideas in writing so others will under
  Inductive Reasoning (imp:4.00 lvl:4.38) — The ability to combine pieces of information to form general rules or conclusion
  Deductive Reasoning (imp:3.75 lvl:4.50) — The ability to apply general rules to specific problems to produce answers that 
  Information Ordering (imp:3.62 lvl:4.00) — The ability to arrange things or actions in a certain order or pattern according
  Category Flexibility (imp:3.62 lvl:4.00) — The ability to generate or use different sets of rules for combining or grouping
  Mathematical Reasoning (imp:3.50 lvl:3.75) — The ability to choose the right mathematical methods or formulas to solve a prob
  Speech Clarity (imp:3.50 lvl:3.50) — The ability to speak clearly so others can understand you.
  Fluency of Ideas (imp:3.38 lvl:3.88) — The ability to come up with a number of ideas about a topic (the number of ideas
  Speech Recognition (imp:3.38 lvl:3.38) — The ability to identify and understand the speech of another person.
  Problem Sensitivity (imp:3.25 lvl:3.50) — The ability to tell when something is wrong or is likely to go wrong. It does no
  Flexibility of Closure (imp:3.25 lvl:3.12) — The ability to identify or detect a known pattern (a figure, object, word, or so
  Originality (imp:3.12 lvl:3.25) — The ability to come up with unusual or clever ideas about a given topic or situa
  Number Facility (imp:3.12 lvl:3.62) — The ability to add, subtract, multiply, or divide quickly and correctly.
  Near Vision (imp:3.12 lvl:3.50) — The ability to see details at close range (within a few feet of the observer).
  Speed of Closure (imp:2.75 lvl:2.88) — The ability to quickly make sense of, combine, and organize information into mea
  Selective Attention (imp:2.75 lvl:3.00) — The ability to concentrate on a task over a period of time without being distrac
  Far Vision (imp:2.62 lvl:2.62) — The ability to see details at a distance.
  Perceptual Speed (imp:2.50 lvl:2.75) — The ability to quickly and accurately compare similarities and differences among
  Visualization (imp:2.25 lvl:2.00) — The ability to imagine how something will look after it is moved around or when 
  Time Sharing (imp:2.12 lvl:2.12) — The ability to shift back and forth between two or more activities or sources of
  Memorization (imp:2.00 lvl:2.25) — The ability to remember information such as words, numbers, pictures, and proced
  Trunk Strength (imp:1.75 lvl:1.12) — The ability to use your abdominal and lower back muscles to support part of the 
  Wrist-Finger Speed (imp:1.62 lvl:0.62) — The ability to make fast, simple, repeated movements of the fingers, hands, and 
  Visual Color Discrimination (imp:1.62 lvl:0.88) — The ability to match or detect differences between colors, including shades of c
  Hearing Sensitivity (imp:1.62 lvl:0.75) — The ability to detect or tell the differences between sounds that vary in pitch 
  Auditory Attention (imp:1.62 lvl:0.75) — The ability to focus on a single source of sound in the presence of other distra
  Finger Dexterity (imp:1.50 lvl:0.50) — The ability to make precisely coordinated movements of the fingers of one or bot
  Depth Perception (imp:1.38 lvl:0.38) — The ability to judge which of several objects is closer or farther away from you
  Dynamic Strength (imp:1.25 lvl:0.25) — The ability to exert muscle force repeatedly or continuously over time. This inv
  Spatial Orientation (imp:1.00) — The ability to know your location in relation to the environment or to know wher
  Arm-Hand Steadiness (imp:1.00) — The ability to keep your hand and arm steady while moving your arm or while hold
  Manual Dexterity (imp:1.00) — The ability to quickly move your hand, your hand together with your arm, or your
  Control Precision (imp:1.00) — The ability to quickly and repeatedly adjust the controls of a machine or a vehi
  Multilimb Coordination (imp:1.00) — The ability to coordinate two or more limbs (for example, two arms, two legs, or
  Response Orientation (imp:1.00) — The ability to choose quickly between two or more movements in response to two o
  Rate Control (imp:1.00) — The ability to time your movements or the movement of a piece of equipment in an
  Reaction Time (imp:1.00) — The ability to quickly respond (with the hand, finger, or foot) to a signal (sou
  Speed of Limb Movement (imp:1.00) — The ability to quickly move the arms and legs.
  Static Strength (imp:1.00) — The ability to exert maximum muscle force to lift, push, pull, or carry objects.
  Explosive Strength (imp:1.00) — The ability to use short bursts of muscle force to propel oneself (as in jumping
  Stamina (imp:1.00) — The ability to exert yourself physically over long periods of time without getti
  Extent Flexibility (imp:1.00) — The ability to bend, stretch, twist, or reach with your body, arms, and/or legs.
  Dynamic Flexibility (imp:1.00) — The ability to quickly and repeatedly bend, stretch, twist, or reach out with yo
  Gross Body Coordination (imp:1.00) — The ability to coordinate the movement of your arms, legs, and torso together wh
  Gross Body Equilibrium (imp:1.00) — The ability to keep or regain your body balance or stay upright when in an unsta
  Night Vision (imp:1.00) — The ability to see under low-light conditions.
  Peripheral Vision (imp:1.00) — The ability to see objects or movement of objects to one's side when the eyes ar
  Glare Sensitivity (imp:1.00) — The ability to see objects in the presence of a glare or bright lighting.
  Sound Localization (imp:1.00) — The ability to tell the direction from which a sound originated.

--- WORK ACTIVITIES ---
  Analyzing Data or Information (imp:4.73 lvl:6.09) — Identifying the underlying principles, reasons, or facts of information by break
  Working with Computers (imp:4.68 lvl:4.86) — Using computers and computer systems (including hardware and software) to progra
  Processing Information (imp:4.64 lvl:5.73) — Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying
  Interpreting the Meaning of Information for Others (imp:4.55 lvl:5.36) — Translating or explaining what information means and how it can be used.
  Getting Information (imp:4.50 lvl:5.41) — Observing, receiving, and otherwise obtaining information from all relevant sour
  Communicating with Supervisors, Peers, or Subordinates (imp:4.23 lvl:5.23) — Providing information to supervisors, co-workers, and subordinates by telephone,
  Updating and Using Relevant Knowledge (imp:4.05 lvl:5.36) — Keeping up-to-date technically and applying new knowledge to your job.
  Organizing, Planning, and Prioritizing Work (imp:3.95 lvl:4.82) — Developing specific goals and plans to prioritize, organize, and accomplish your
  Identifying Objects, Actions, and Events (imp:3.91 lvl:4.73) — Identifying information by categorizing, estimating, recognizing differences or 
  Making Decisions and Solving Problems (imp:3.82 lvl:4.59) — Analyzing information and evaluating results to choose the best solution and sol
  Thinking Creatively (imp:3.77 lvl:5.05) — Developing, designing, or creating new applications, ideas, relationships, syste
  Establishing and Maintaining Interpersonal Relationships (imp:3.64 lvl:4.55) — Developing constructive and cooperative working relationships with others, and m
  Documenting/Recording Information (imp:3.50 lvl:3.95) — Entering, transcribing, recording, storing, or maintaining information in writte
  Providing Consultation and Advice to Others (imp:3.41 lvl:4.86) — Providing guidance and expert advice to management or other groups on technical,
  Estimating the Quantifiable Characteristics of Products, Events, or Information (imp:3.27 lvl:3.82) — Estimating sizes, distances, and quantities; or determining time, costs, resourc
  Evaluating Information to Determine Compliance with Standards (imp:3.24 lvl:3.68) — Using relevant information and individual judgment to determine whether events o
  Developing Objectives and Strategies (imp:3.05 lvl:3.68) — Establishing long-range objectives and specifying the strategies and actions to 
  Communicating with People Outside the Organization (imp:3.00 lvl:4.09) — Communicating with people outside the organization, representing the organizatio
  Training and Teaching Others (imp:2.95 lvl:4.00) — Identifying the educational needs of others, developing formal educational or tr
  Coaching and Developing Others (imp:2.95 lvl:4.14) — Identifying the developmental needs of others and coaching, mentoring, or otherw
  Judging the Qualities of Objects, Services, or People (imp:2.91 lvl:3.76) — Assessing the value, importance, or quality of things or people.
  Scheduling Work and Activities (imp:2.77 lvl:3.55) — Scheduling events, programs, and activities, as well as the work of others.
  Monitoring Processes, Materials, or Surroundings (imp:2.76 lvl:3.29) — Monitoring and reviewing information from materials, events, or the environment,
  Coordinating the Work and Activities of Others (imp:2.73 lvl:3.41) — Getting members of a group to work together to accomplish tasks.
  Developing and Building Teams (imp:2.68 lvl:3.09) — Encouraging and building mutual trust, respect, and cooperation among team membe
  Guiding, Directing, and Motivating Subordinates (imp:2.68 lvl:3.41) — Providing guidance and direction to subordinates, including setting performance 
  Resolving Conflicts and Negotiating with Others (imp:2.55 lvl:3.18) — Handling complaints, settling disputes, and resolving grievances and conflicts, 
  Performing Administrative Activities (imp:2.50 lvl:2.82) — Performing day-to-day administrative tasks such as maintaining information files
  Selling or Influencing Others (imp:2.41 lvl:2.55) — Convincing others to buy merchandise/goods or to otherwise change their minds or
  Monitoring and Controlling Resources (imp:2.09 lvl:2.14) — Monitoring and controlling resources and overseeing the spending of money.
  Staffing Organizational Units (imp:1.90 lvl:2.23) — Recruiting, interviewing, selecting, hiring, and promoting employees in an organ
  Assisting and Caring for Others (imp:1.86 lvl:1.41) — Providing personal assistance, medical attention, emotional support, or other pe
  Performing for or Working Directly with the Public (imp:1.59 lvl:1.27) — Performing for people or dealing directly with the public. This includes serving
  Inspecting Equipment, Structures, or Materials (imp:1.23 lvl:0.55) — Inspecting equipment, structures, or materials to identify the cause of errors o
  Performing General Physical Activities (imp:1.09 lvl:0.09) — Performing general physical activities includes doing activities that require co
  Handling and Moving Objects (imp:1.09 lvl:0.18) — Using hands and arms in handling, installing, positioning, and moving materials,
  Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment (imp:1.09 lvl:0.23) — Providing documentation, detailed instructions, drawings, or specifications to t
  Controlling Machines and Processes (imp:1.05 lvl:0.09) — Using either control mechanisms or direct physical activity to operate machines 
  Operating Vehicles, Mechanized Devices, or Equipment (imp:1.05 lvl:0.09) — Running, maneuvering, navigating, or driving vehicles or mechanized equipment, s
  Repairing and Maintaining Electronic Equipment (imp:1.05 lvl:0.05) — Servicing, repairing, calibrating, regulating, fine-tuning, or testing machines,
  Repairing and Maintaining Mechanical Equipment (imp:1.00) — Servicing, repairing, adjusting, and testing machines, devices, moving parts, an

--- WORK STYLES ---
  Dependability (imp:4.00) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Attention to Detail (imp:3.00) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Attention to Detail (imp:2.77) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Integrity (imp:2.32) — A tendency to be honest and ethical at work.
  Dependability (imp:2.19) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Achievement Orientation (imp:2.08) — A tendency to establish and maintain personally challenging work-related goals, 
  Integrity (imp:2.00) — A tendency to be honest and ethical at work.
  Tolerance for Ambiguity (imp:1.87) — A tendency to be comfortable with ambiguity and uncertainty at work.
  Intellectual Curiosity (imp:1.64) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Cautiousness (imp:1.59) — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Adaptability (imp:1.51) — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Perseverance (imp:1.49) — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Innovation (imp:1.47) — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Initiative (imp:1.38) — A tendency to be proactive and take on extra responsibilities and tasks that may
  Self-Confidence (imp:1.38) — A tendency to believe in one's work-related capabilities and ability to control 
  Stress Tolerance (imp:1.22) — A tendency to cope and function effectively in stressful situations at work.
  Self-Control (imp:1.22) — A tendency to remain calm and composed and to manage emotions effectively in res
  Achievement Orientation (imp:1.00) — A tendency to establish and maintain personally challenging work-related goals, 
  Social Orientation (imp:0.72) — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Sincerity (imp:0.63) — A tendency to be genuine and sincere in interactions with others at work, withou
  Leadership Orientation (imp:0.38) — A tendency to lead, take charge, offer opinions, and provide direction at work.
  Humility (imp:0.37) — A tendency to be modest and humble when interacting with others at work.
  Cooperation (imp:0.27) — A tendency to be pleasant, helpful, and willing to assist others at work.
  Empathy (imp:0.16) — A tendency to show concern for others and be sensitive to others' needs and feel
  Innovation () — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Intellectual Curiosity () — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Tolerance for Ambiguity () — A tendency to be comfortable with ambiguity and uncertainty at work.
  Initiative () — A tendency to be proactive and take on extra responsibilities and tasks that may
  Adaptability () — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Self-Confidence () — A tendency to believe in one's work-related capabilities and ability to control 
  Perseverance () — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Leadership Orientation () — A tendency to lead, take charge, offer opinions, and provide direction at work.
  Humility () — A tendency to be modest and humble when interacting with others at work.
  Sincerity () — A tendency to be genuine and sincere in interactions with others at work, withou
  Empathy () — A tendency to show concern for others and be sensitive to others' needs and feel
  Cooperation () — A tendency to be pleasant, helpful, and willing to assist others at work.
  Optimism () — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Social Orientation () — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Cautiousness () — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Stress Tolerance () — A tendency to cope and function effectively in stressful situations at work.
  Self-Control () — A tendency to remain calm and composed and to manage emotions effectively in res
  Optimism (imp:-0.14) — A tendency to exhibit a positive attitude and positive emotions at work, even un

--- TRANSFERABLE SKILLS ---
  Judgment and Decision Making (imp:3.62 lvl:4.00) — Considering the relative costs and benefits of potential actions to choose the m
  Complex Problem Solving (imp:3.38 lvl:3.75) — Identifying complex problems and reviewing related information to develop and ev
  Systems Analysis (imp:3.12 lvl:3.75) — Determining how a system should work and how changes in conditions, operations, 
  Systems Evaluation (imp:3.12 lvl:3.75) — Identifying measures or indicators of system performance and the actions needed 
  Time Management (imp:3.12 lvl:3.00) — Managing one's own time and the time of others.
  Coordination (imp:3.00 lvl:3.00) — Adjusting actions in relation to others' actions.
  Instructing (imp:3.00 lvl:3.00) — Teaching others how to do something.
  Social Perceptiveness (imp:2.88 lvl:2.88) — Being aware of others' reactions and understanding why they react as they do.
  Persuasion (imp:2.88 lvl:3.00) — Persuading others to change their minds or behavior.
  Service Orientation (imp:2.88 lvl:2.88) — Actively looking for ways to help people.
  Negotiation (imp:2.50 lvl:2.88) — Bringing others together and trying to reconcile differences.
  Programming (imp:2.50 lvl:2.50) — Writing computer programs for various purposes.
  Management of Personnel Resources (imp:2.12 lvl:2.00) — Motivating, developing, and directing people as they work, identifying the best 
  Quality Control Analysis (imp:2.00 lvl:1.50) — Conducting tests and inspections of products, services, or processes to evaluate
  Operations Analysis (imp:1.88 lvl:1.62) — Analyzing needs and product requirements to create a design.
  Management of Financial Resources (imp:1.88 lvl:1.75) — Determining how money will be spent to get the work done, and accounting for the
  Operations Monitoring (imp:1.75 lvl:1.12) — Watching gauges, dials, or other indicators to make sure a machine is working pr
  Management of Material Resources (imp:1.75 lvl:1.25) — Obtaining and seeing to the appropriate use of equipment, facilities, and materi
  Technology Design (imp:1.62 lvl:0.88) — Generating or adapting equipment and technology to serve user needs.
  Operation and Control (imp:1.38 lvl:0.38) — Controlling operations of equipment or systems.
  Equipment Selection (imp:1.00) — Determining the kind of tools and equipment needed to do a job.
  Installation (imp:1.00) — Installing equipment, machines, wiring, or programs to meet specifications.
  Equipment Maintenance (imp:1.00) — Performing routine maintenance on equipment and determining when and what kind o
  Troubleshooting (imp:1.00) — Determining causes of operating errors and deciding what to do about it.
  Repairing (imp:1.00) — Repairing machines or systems using the needed tools.
BLS OEWS May 2025 — 262,440 employed nationally bls.gov/oes ↗ · Public Domain · US Government · retrieved 2026-06-02
--- NATIONAL WAGES ---
  total_employment : 262,440
  annual_median    : $120,230
  annual_pct10     : $67,240
  annual_pct25     : $85,660
  annual_pct75     : $158,880
  annual_pct90     : $199,130
  annual_mean      : $126,800
  hourly_median    : $57.80

--- GEOGRAPHIC DISPERSION ---
  highest_state    : Washington ($163,350)
  lowest_state     : Mississippi ($69,490)
  dispersion_ratio : 2.351x

--- TOP STATES BY WAGE (50 total) ---
  Professional, Scientific, and Technical Services emp:   69,730  median: $ 126,730
  Finance and Insurance                    emp:   46,730  median: $ 124,770
  Information                              emp:   32,410  median: $ 141,440
  Management of Companies and Enterprises  emp:   28,620  median: $ 128,050
  Administrative and Support and Waste Management and Remediation Services emp:   15,570  median: $ 100,790
  Health Care and Social Assistance        emp:   15,410  median: $  98,030
  Wholesale Trade                          emp:   11,710  median: $ 119,990
  Manufacturing                            emp:   10,400  median: $ 117,680
  Educational Services                     emp:   10,350  median: $  83,830
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:    5,940  median: $ 100,970

--- TOP INDUSTRIES BY EMPLOYMENT (19 total) ---
  Professional, Scientific, and Technical Services emp:   69,730  median: $ 126,730
  Finance and Insurance                    emp:   46,730  median: $ 124,770
  Information                              emp:   32,410  median: $ 141,440
  Management of Companies and Enterprises  emp:   28,620  median: $ 128,050
  Administrative and Support and Waste Management and Remediation Services emp:   15,570  median: $ 100,790
  Health Care and Social Assistance        emp:   15,410  median: $  98,030
  Wholesale Trade                          emp:   11,710  median: $ 119,990
  Manufacturing                            emp:   10,400  median: $ 117,680
  Educational Services                     emp:   10,350  median: $  83,830
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:    5,940  median: $ 100,970
Wikipedia — Business intelligence (2,000 words) https://en.wikipedia.org/wiki/Business_intelligence ↗ · CC BY-SA 4.0
exact_match_status : found
matched_title      : Business intelligence
match_score        : 0.8235
wikidata_qid       : Q3353185
word_count         : 2,000
wikipedia_url      : https://en.wikipedia.org/wiki/Business_intelligence
license            : CC BY-SA 4.0
fetched_at         : 2026-06-02T20:27:26.716438Z

--- WIKIPEDIA FULL TEXT ---
Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information to inform business strategies and business operations. Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics. 
BI tools can handle large amounts of structured and sometimes unstructured data to help organizations identify, develop, and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights is assumed to potentially provide businesses with a competitive market advantage and long-term stability, and help them take strategic decisions.
Business intelligence can be used by enterprises to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions involve priorities, goals, and directions at the broadest level. In all cases, business intelligence is considered most effective when it combines data from the market in which a company operates (external data) with data from internal company sources, such as financial and operational information. When integrated, external and internal data provide a comprehensive view that creates ‘intelligence’ not possible from any single data source alone.
Among their many uses, business intelligence tools empower organizations to gain insight into new markets, to assess demand and suitability of products and services for different market segments, and to gauge the impact of marketing efforts.
BI applications use data gathered from a data warehouse (DW) or from a data mart, and the concepts of BI and DW combine as "BI/DW"
or as "BIDW". A data warehouse contains a copy of analytical data that facilitates decision support.


== History ==
The earliest known use of the term business intelligence is in Richard Millar Devens' Cyclopædia of Commercial and Business Anecdotes (1865). Devens used the term to describe how the banker Sir Henry Furnese gained profit by receiving and acting upon information about his environment, prior to his competitors:

Throughout Holland, Flanders, France, and Germany, he maintained a complete and perfect train of business intelligence. The news of the many battles fought was thus received first by him, and the fall of Namur added to his profits, owing to his early receipt of the news.
The ability to collect and react accordingly based on the information retrieved, Devens says, is central to business intelligence.
When Hans Peter Luhn, a researcher at IBM, used the term business intelligence in an article published in 1958, he employed the Webster's Dictionary definition of intelligence: "the ability to apprehend the interrelationships of presented facts in such a way as to guide action towards a desired goal." 
In 1989, Howard Dresner (later a Gartner analyst) proposed business intelligence as an umbrella term to describe "concepts and methods to improve business decision making by using fact-based support systems." It was not until the late 1990s that this usage was widespread.


== Definition ==
According to Solomon Negash and Paul Gray, business intelligence (BI) can be defined as systems that combine:

Data gathering
Data storage
Knowledge management
with analysis to evaluate complex corporate and competitive information for presentation to planners and decision makers, with the objective of improving the timeliness and the quality of the input to the decision process."
According to Forrester Research, business intelligence is "a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making." Under this definition, business intelligence encompasses information management (data integration, data quality, data warehousing, master-data management, text- and content-analytics, et al.). Therefore, Forrester refers to data preparation and data usage as two separate but closely linked segments of the business-intelligence architectural stack.
Some elements of business intelligence are:

Multidimensional aggregation and allocation
Denormalization, tagging, and standardization
Realtime reporting with analytical alert
A method of interfacing with unstructured data sources
Group consolidation, budgeting, and rolling forecasts
Statistical inference and probabilistic simulation
Key performance indicators optimization
Version control and process management
Open item management
Forrester distinguishes this from the business-intelligence market, which is "just the top layers of the BI architectural stack, such as reporting, analytics, and dashboards."


=== Compared with competitive intelligence ===
Though the term business intelligence is sometimes a synonym for competitive intelligence (because they both support decision making), BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes, and disseminates information with a topical focus on company competitors. If understood broadly, competitive intelligence can be considered as a subset of business intelligence.


=== Compared with business analytics ===
Business intelligence and business analytics are sometimes used interchangeably, but there are alternate definitions. Thomas Davenport, professor of information technology and management at Babson College argues that business intelligence should be divided into querying, reporting, Online analytical processing (OLAP), an "alerts" tool, and business analytics. In this definition, business analytics is the subset of BI focusing on statistics, prediction, and optimization, rather than the reporting functionality.


== Unstructured data ==
Business operations can generate a very large amount of data in the form of emails, memos, notes from call centers, news, user groups, chats, reports, web pages, presentations, image files, video files, and marketing material. According to Merrill Lynch, more than 85% of all business information exists in these forms; a company might only use such a document a single time. Because of the way it is produced and stored, this information is either unstructured or semi-structured.
The management of semi-structured data is an unsolved problem in the information technology industry. According to projections from Gartner (2003), white-collar workers spend 30–40% of their time searching, finding, and assessing unstructured data. BI uses both structured and unstructured data. The former is easy to search, and the latter contains a large quantity of the information needed for analysis and decision-making. Because of the difficulty of properly searching, finding, and assessing unstructured or semi-structured data, organizations may not draw upon these vast reservoirs of information, which could influence a particular decision, task, or project. This can ultimately lead to poorly informed decision-making.
Therefore, when designing a business intelligence/DW solution, the specific problems associated with semi-structured and unstructured data must be accommodated, as well as those associated with structured data.


=== Limitations of semi-structured and unstructured data ===

There are several challenges to developing BI with semi-structured data. According to Inmon & Nesavich, some of those are:

Physically accessing unstructured textual data – unstructured data is stored in a huge variety of formats.
Terminology – Among researchers and analysts, there is a need to develop sta

--- SEMANTIC NEIGHBORS (5) ---

  Title: Open-source intelligence (similarity: 0.5556)
  URL: https://en.wikipedia.org/wiki/Open-source_intelligence
  QID: Q1059178
  Extract: Open-source intelligence (OSINT) is the collection and analysis of data gathered from open sources to produce actionable intelligence. OSINT is primarily used in national security, law enforcement, and business intelligence functions and is of value to analysts who use non-sensitive intelligence in 

  Title: Larry C. Johnson (similarity: 0.0870)
  URL: https://en.wikipedia.org/wiki/Larry_C._Johnson
  QID: Q6490041
  Extract: Larry C. Johnson is an American blogger, political commentator and former analyst at the Central Intelligence Agency. He is the co-owner and CEO of Business Exposure Reduction Group (BERG) Associates, LLC, and the co-founder of Veteran Intelligence Professionals for Sanity (VIPS).

  Title: Texas Instruments Business Analyst (similarity: 0.5000)
  URL: https://en.wikipedia.org/wiki/Texas_Instruments_Business_Analyst
  QID: Q7707765
  Extract: The Texas Instruments Business Analyst series is a product line of financial calculators introduced in 1976. BA calculators provide time value of money functions and are widely used in accounting and other financial applications. Though originally designed specifically for financial use, current mod

  Title: Systems analyst (similarity: 0.5333)
  URL: https://en.wikipedia.org/wiki/Systems_analyst
  QID: Q942569
  Extract: A systems analyst, also known as business technology analyst, is an information technology (IT) professional who specializes in analyzing, designing and implementing information systems. Systems analysts assess the suitability of information systems in terms of their intended outcomes and liaise wit

  Title: Analyst (similarity: 0.3784)
  URL: https://en.wikipedia.org/wiki/Analyst
  QID: Q5669212
  Extract: An analyst is an individual who performs analysis of a topic. The term may refer to:
Claude Inference — claude-sonnet-4-20250514 · confidence:high · $0.0470 inferred_at: 2026-06-03T14:19:56 UTC · Boise Standard inference pipeline v1.0
model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : high
confidence_notes     : Strong data alignment across O*NET activities, skills, and knowledge areas with clear Wikipedia match and comprehensive wage/employment data from BLS OEWS May 2025.
inferred_at          : 2026-06-03T14:19:56.555241+00:00
tokens_input         : 4,462
tokens_output        : 4,271
cost_usd             : $0.047018
wikipedia_used       : True
wikipedia_title      : Business intelligence
wikipedia_note       : The Wikipedia definition aligns well with O*NET data, describing BI as strategies and technologies for data analysis and management to inform business operations. The semantic neighbors include related analytical roles like systems analysts, supporting the occupational classification.

--- PROSE FIELDS ---

ROLE SUMMARY:
Business Intelligence Analysts transform raw data into actionable insights that drive strategic business decisions, serving as the critical bridge between technical data systems and executive leadership. They design and maintain sophisticated reporting systems, analyze market trends, and generate financial intelligence that guides organizational strategy. These professionals combine technical expertise in data analysis tools with deep business acumen to identify patterns and opportunities in complex datasets.

DAY IN THE LIFE:
A Business Intelligence Analyst begins their day by reviewing automated dashboard alerts and updating executive reports with the latest performance metrics. They spend significant time querying databases using SQL and specialized BI tools to extract relevant business data, then clean and analyze this information to identify trends and anomalies. The afternoon often involves creating visualizations and presentations for stakeholder meetings, where they interpret complex data patterns and provide strategic recommendations. They collaborate with IT teams to maintain data pipelines and with business units to understand evolving analytical needs. The day concludes with documenting findings and ensuring data quality standards are met across all reporting systems.

WHO THRIVES:
Individuals who excel as Business Intelligence Analysts possess strong analytical minds with exceptional attention to detail and the ability to see both forest and trees in complex datasets. They demonstrate high levels of dependability and integrity when handling sensitive business information, while maintaining curiosity about market dynamics and business operations. Successful analysts combine technical proficiency with excellent communication skills, enabling them to translate complex statistical findings into compelling business narratives. They thrive on solving puzzles, enjoy working with technology, and possess the patience to methodically verify data accuracy before making recommendations.

CAREER ENTRY:
Entry into Business Intelligence requires a bachelor's degree, typically in business, computer science, statistics, economics, or related analytical fields, with 68.2% of practitioners holding bachelor's degrees and 22.7% holding master's degrees. Most employers prefer candidates with coursework in statistics, database management, and business fundamentals, along with practical experience in SQL, Excel, and data visualization tools. Entry-level positions often require 1-2 years of experience in data analysis, reporting, or related technical roles, which can be gained through internships, analyst positions, or project work involving data manipulation and reporting.

CAREER TRAJECTORY:
Business Intelligence Analysts typically advance to senior analyst roles within 3-5 years, then progress to BI Manager, Data Analytics Manager, or Director of Business Intelligence positions. Many transition into specialized roles such as Data Scientists, requiring additional statistical and machine learning expertise, or move into strategic roles like Marketing Managers or Operations Research Analysts. The analytical foundation also provides pathways into consulting, financial risk analysis, or executive positions where data-driven decision making is crucial.

MARKET INTELLIGENCE:
The Business Intelligence field offers strong compensation with a median annual salary of $120,230 (BLS OEWS May 2025), ranging from $67,240 to $199,130 across experience levels and geographic markets. With 262,440 professionals currently employed, demand remains robust across industries, particularly in Professional, Scientific, and Technical Services (69,730 employed), Finance and Insurance (46,730 employed), and Information sectors (32,410 employed). Geographic salary variation is significant, with Washington state offering the highest compensation at $163,350 compared to Mississippi's $69,490, reflecting a 2.35x premium in high-tech markets. The role's importance in data-driven decision making ensures continued growth prospects as organizations increasingly rely on analytics for competitive advantage.

AUTOMATION OUTLOOK:
Business Intelligence Analysts face moderate automation risk as AI tools increasingly handle routine data extraction and basic report generation tasks. However, the core activities of interpreting information meaning for stakeholders, conducting strategic analysis, and synthesizing complex business intelligence require human judgment and contextual understanding that resist full automation. The profession is evolving toward higher-value activities like predictive analytics and strategic consultation, where human expertise in business context and stakeholder communication remains irreplaceable.

--- REASONED EDGES ---
  [skill_overlap] Data Scientists (15-2051.00) — confidence:high
    reasoning: Both roles share core data analysis activities with high importance in analyzing data/information (4.7) and working with computers (4.7), plus similar mathematical and statistical knowledge requirements.
    data: Analyzing Data or Information (imp:4.7)
    data: Mathematics knowledge (imp:3.8)
    data: Computers and Electronics knowledge (imp:4.3)
  [knowledge_overlap] Computer Systems Analysts (15-1211.00) — confidence:high
    reasoning: Both require strong Computers and Electronics knowledge (BI: 4.3 importance) and systems analysis transferable skills (3.1 importance), focusing on technology-business integration.
    data: Computers and Electronics knowledge (imp:4.3)
    data: Systems Analysis skill (imp:3.1)
    data: Working with Computers activity (imp:4.7)
  [task_similarity] Market Research Analysts and Marketing Specialists (13-1161.00) — confidence:high
    reasoning: Both roles analyze market and customer data, identify industry trends with strategic implications, and synthesize business intelligence for recommendations.
    data: Analyze competitive market strategies task
    data: Identify and analyze industry or geographic trends task
    data: Synthesize current business intelligence task
  [riasec_cluster] Operations Research Analysts (15-2031.00) — confidence:medium
    reasoning: Both occupations show strong Conventional (C:5.79) and Investigative (I:5.41) RIASEC patterns, indicating similar work preferences for analytical and systematic tasks.
    data: RIASEC profile C:5.79, I:5.41
    data: Analyzing Data or Information activity
    data: Complex Problem Solving skill
  [career_pathway] Marketing Managers (11-2021.00) — confidence:medium
    reasoning: BI Analysts with Administration and Management knowledge (3.1 importance) and business strategy skills often advance to marketing leadership roles requiring data-driven decision making.
    data: Administration and Management knowledge (imp:3.1)
    data: Organizing, Planning, and Prioritizing Work activity (imp:4.0)
    data: Interpreting Information for Others activity (imp:4.5)

--- NORMALIZER SIGNALS ---
  match_keywords   : ['business intelligence', 'data analysis', 'reporting', 'dashboard', 'analytics', 'market intelligence', 'business analyst', 'data mining']
  exclude_keywords : ['software development', 'network administration', 'cybersecurity', 'hardware', 'programming']
  title_patterns   : ['Business Intelligence Analyst', 'BI Analyst', 'Business Data Analyst', 'Business Information Analyst', 'Business Intelligence Specialist']
  common_variations: ['BI Analyst', 'Business Data Analyst', 'Business Intelligence Specialist', 'BI Consultant', 'Business Intelligence Coordinator', 'Business Information Analyst', 'Business Analytics Specialist', 'Data Business Analyst']
Semantic Manifold — 40 terms · 5 provenance layers employment_word_extractor.py · sources: onet_tasks | onet_dimensions | dwas | wikipedia | inference · Constitutional Law III
total_terms    : 40
top_words      : ['business', 'intelligence', 'tendency', 'others', 'analytics', 'management', 'equipment', 'analysis', 'tools', 'market', 'decision', 'principles', 'reporting', 'technology', 'includes', 'techniques', 'control', 'analytical', 'unstructured', 'technical']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
business                   92  0.02476  wikipedia            wikipedia:66%  inference:22%  onet_tasks:11%
intelligence               63  0.01696  wikipedia            wikipedia:71%  inference:16%  onet_tasks:13%
tendency                   42  0.01131  onet_dimensions      onet_dimensions:100%
others                     40  0.01077  onet_dimensions      onet_dimensions:95%  onet_tasks:2%  wikipedia:2%
analytics                  27  0.00727  wikipedia            wikipedia:89%  inference:11%
management                 24  0.00646  wikipedia            wikipedia:62%  onet_dimensions:29%  inference:8%
equipment                  23  0.00619  onet_dimensions      onet_dimensions:100%
analysis                   21  0.00565  wikipedia            wikipedia:52%  inference:24%  onet_dimensions:19%
tools                      17  0.00458  onet_tasks           onet_tasks:29%  onet_dimensions:29%  inference:24%
market                     16  0.00431  dwas                 dwas:38%  wikipedia:38%  onet_tasks:12%
decision                   16  0.00431  wikipedia            wikipedia:75%  onet_dimensions:12%  inference:12%
principles                 16  0.00431  onet_dimensions      onet_dimensions:100%
reporting                  14  0.00377  wikipedia            wikipedia:57%  inference:29%  onet_tasks:7%
technology                 13  0.00350  wikipedia            wikipedia:38%  onet_dimensions:31%  onet_tasks:15%
includes                   13  0.00350  onet_dimensions      onet_dimensions:92%  wikipedia:8%
techniques                 13  0.00350  onet_dimensions      onet_dimensions:77%  wikipedia:23%
control                    13  0.00350  onet_dimensions      onet_dimensions:92%  wikipedia:8%
analytical                 13  0.00350  wikipedia            wikipedia:54%  inference:38%  dwas:8%
unstructured               13  0.00350  wikipedia            wikipedia:100%
technical                  12  0.00323  inference            inference:42%  onet_dimensions:25%  onet_tasks:17%
problems                   12  0.00323  onet_dimensions      onet_dimensions:75%  wikipedia:25%
strategic                  12  0.00323  wikipedia            wikipedia:50%  inference:42%  onet_dimensions:8%
customer                   12  0.00323  dwas                 dwas:58%  onet_dimensions:33%  wikipedia:8%
objects                    12  0.00323  onet_dimensions      onet_dimensions:100%
activities                 12  0.00323  onet_dimensions      onet_dimensions:75%  inference:17%  wikipedia:8%
financial                  11  0.00296  wikipedia            wikipedia:45%  onet_dimensions:27%  inference:18%
needs                      11  0.00296  onet_dimensions      onet_dimensions:73%  onet_tasks:9%  dwas:9%
design                     11  0.00296  onet_dimensions      onet_dimensions:55%  onet_tasks:18%  wikipedia:18%
performance                11  0.00296  onet_dimensions      onet_dimensions:64%  wikipedia:27%  inference:9%
procedures                 11  0.00296  onet_dimensions      onet_dimensions:73%  dwas:27%
operations                 11  0.00296  onet_dimensions      onet_dimensions:55%  inference:27%  wikipedia:18%
ideas                      11  0.00296  onet_dimensions      onet_dimensions:100%
structured                 11  0.00296  wikipedia            wikipedia:100%
term                       11  0.00296  wikipedia            wikipedia:100%
analysts                   11  0.00296  inference            inference:64%  wikipedia:36%
organizations              10  0.00269  wikipedia            wikipedia:70%  onet_tasks:10%  onet_dimensions:10%
resources                  10  0.00269  onet_dimensions      onet_dimensions:90%  wikipedia:10%
materials                  10  0.00269  onet_dimensions      onet_dimensions:100%
body                       10  0.00269  onet_dimensions      onet_dimensions:100%
identifying                10  0.00269  onet_dimensions      onet_dimensions:80%  wikipedia:20%
◈ Boise Standard Employment Graph · 15-2051.01 · built 2026-06-02 · Sources declared above are authoritative originals. This page synthesizes but does not replace them. Every claim traceable. Full provenance. Constitutional Law I.
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