Explore/What the work runs on

Tools

These are the 296 tools people commonly use for data and analytics work, from Excel and SQL to Power BI and Python. We list them so you can see which tools your role and tasks rely on, and which Paths teach them. Being listed does not mean Insyt supplies the tool.

Finance and procurement systems39

People systems35

Marketing and web27

Customer, sales and partner systems25

Data platforms and pipelines17

Operations, planning and safety17

AI and machine learning build16

Data governance and quality14

Query languages and databases13

BI and reporting12

Customer service and feedback11

Work and project management11

Engineering and delivery9

Code and statistics7

Logs and monitoring7

Sustainability and ESG7

AI assistants6

Geospatial6

Product analytics6

Market and external data5

Automation and low-code3

Spreadsheets3

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