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Analyze data to improve operations

Work activity · O*NET

Analyze data to improve operations is an intermediate work activity in the O*NET database — a concrete task that recurs across many occupations , grouped under Analyzing Data or Information. 100 occupations report doing it as part of their work.

What it involves

The most common detailed activities O*NET records under this category, ranked by how many occupation tasks map to each.

  • Analyze data to inform operational decisions or activities
  • Interpret research or operational data
  • Analyze data to identify or resolve operational problems
  • Analyze operational data to evaluate operations, processes or products
  • Analyze shipping information to make routing decisions
  • Analyze logistics processes
  • Calculate data to inform organizational operations
  • Analyze forecasting data to improve business decisions

How AI is applied to this activity

Microsoft's "Working with AI" study mapped real Bing Copilot conversations to O*NET work activities. The figures below are their measurements for this activity — they describe how AI is used today in one assistant's data, not a forecast that the activity will be automated.

AI completes it successfully 88.3% When Copilot attempts this activity, how often it finishes the task
Scope AI handles 34.3% How much of the activity AI carries within a conversation
Positive user feedback 58.9% Share of interactions users rated positively
How often AI is applied here 51st pct Percentile across all measured activities by how often AI performs them

Source: Microsoft "Working with AI" (working-with-ai). A high completion rate means AI can assist the activity in isolation — it does not mean an occupation that performs it is being automated, since every job blends many activities.

Detailed work activities

The more granular units of work O*NET groups under this activity, ordered by how many occupations perform them.

Occupations that perform this activity

Ranked by how many of the occupation's tasks map to this activity.

Occupation Tasks
Logistics Engineers 13
Energy Auditors 8
Freight Forwarders 7
Logistics Analysts 7
Traffic Technicians 6
Compensation, Benefits, and Job Analysis Specialists 5
Geoscientists, Except Hydrologists and Geographers 3
Transportation Planners 3
Transportation, Storage, and Distribution Managers 3
Advertising and Promotions Managers 2
Biofuels/Biodiesel Technology and Product Development Managers 2
Bioinformatics Technicians 2
Buyers and Purchasing Agents, Farm Products 2
Chief Executives 2
Clinical Research Coordinators 2
Compensation and Benefits Managers 2
Construction Managers 2
Data Scientists 2
Education Administrators, Kindergarten through Secondary 2
Energy Engineers, Except Wind and Solar 2
Food Service Managers 2
Human Resources Managers 2
Industrial Production Managers 2
Marketing Managers 2
Online Merchants 2
Purchasing Managers 2
Quality Control Systems Managers 2
Shipping, Receiving, and Inventory Clerks 2
Supply Chain Managers 2
Water/Wastewater Engineers 2
Web Administrators 2
Administrative Services Managers 1
Appraisers and Assessors of Real Estate 1
Architectural and Civil Drafters 1
Astronomers 1
Atmospheric and Space Scientists 1
Automotive Engineering Technicians 1
Bioengineers and Biomedical Engineers 1
Biofuels Production Managers 1
Biological Technicians 1

Showing 40 of 100 occupations.

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 38 occupations in occupations that perform Analyze data to improve operations.. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Administrative Services Managers Food Service Managers Biological Technicians Biofuels Production Managers Shipping, Receiving, and Inventory Clerks Traffic Technicians Automotive Engineering Technicians Biofuels/Biodiesel Technology and Product Development Managers Geoscientists, Except Hydrologists and Geographers Compensation, Benefits, and Job Analysis Specialists Online Merchants Web Administrators AI task-overlap percentile → ↑ Median pay
Occupations that perform Analyze data to improve operations., by AI task-overlap and median pay

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Analyze data to improve operations." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Microsoft “Working with AI” working-with-ai. Accessed June 7, 2026. https://singulariki.com/activities/analyze-data-to-improve-operations

APA

Singulariki. (2026). Analyze data to improve operations. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/activities/analyze-data-to-improve-operations

BibTeX 
@misc{singulariki-analyze-data-to-improve-operations,
  title  = {Analyze data to improve operations},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Microsoft “Working with AI” working-with-ai. Accessed June 7, 2026},
  url    = {https://singulariki.com/activities/analyze-data-to-improve-operations}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.