Data base reporting software

Example software & tools

Ranked by how many occupations list each product. Each number is an occupation count — a job is counted once per product — so the product rows overlap and do not sum to the category total.

Showing the top 40 of 45 products in this category.

Occupations that use Data base reporting software

• Accountants and Auditors
• Administrative Services Managers
• Advertising and Promotions Managers
• Automotive Service Technicians and Mechanics
• Bioengineers and Biomedical Engineers
• Bookkeeping, Accounting, and Auditing Clerks
• Budget Analysts
• Business Continuity Planners
• Business Intelligence Analysts
• Chief Executives
• Claims Adjusters, Examiners, and Investigators
• Clinical Data Managers
• Compensation and Benefits Managers
• Compensation, Benefits, and Job Analysis Specialists
• Compliance Managers
• Computer Network Architects
• Computer Programmers
• Computer Systems Analysts
• Computer Systems Engineers/Architects
• Computer User Support Specialists
• Computer and Information Systems Managers
• Construction and Building Inspectors
• Coroners
• Cost Estimators
• Court, Municipal, and License Clerks
• Customer Service Representatives
• Data Scientists
• Data Warehousing Specialists
• Database Administrators
• Database Architects
• Dispatchers, Except Police, Fire, and Ambulance
• Document Management Specialists
• Education Administrators, Postsecondary
• Educational, Guidance, and Career Counselors and Advisors
• Eligibility Interviewers, Government Programs
• Entertainment and Recreation Managers, Except Gambling
• Executive Secretaries and Executive Administrative Assistants
• Facilities Managers
• Financial Managers
• Financial Risk Specialists

Showing 40 of 92 occupations.

How AI is used by roles that use Data base reporting software

A software category is not itself "being automated" — but we can look at the roles that report using Data base reporting software and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across those roles, weighted by how much observed AI activity each one has. 54.3% of the 92 roles that use this category carry observed AI-usage data (50 roles).

Across those roles, 56.0% of AI conversations are people working with AI and 37.2% hand a task to AI , with an average autonomy of 3.63 / 5.

Roles behind this signal

The roles using this category that have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.

Source: Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) over a sample of Claude.ai Free and Pro conversations — not all AI tools and not the whole workforce. Roles list software categories in O*NET; this does not mean AI is used inside Data base reporting software, only that people in those roles use AI. Some conversations are left unclassified, so shares need not sum to 100.

Industries that concentrate this

Where Data base reporting software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Data base reporting software (O*NET importance ≥ 3 of 5, or report using the tool category). Concentration compares that reach to the national average industry, so a value above 1× means the requirement is more pervasive here than across the economy as a whole.

Nationally, about 21.9% of workers are in occupations that significantly use Data base reporting software (measured across 67 industries).

Sectors with the most such workers

Industries where it is most concentrated

Reach is a measure of how widespread a requirement is across an industry's workforce, not how intensively any individual uses it. Sector worker counts come from BLS OEWS employment; the significance threshold and tool use come from O*NET. Industries shown by concentration are filtered to a real worker base so a tiny specialty cannot top the list on rounding.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
• Census NAICS 2022 U.S. Census Bureau
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
• AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic

Data compiled June 3, 2026. Figures are estimates, not advice.

@misc{singulariki-data-base-reporting-software,
  title  = {Data base reporting software},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/tools/data-base-reporting-software}
}