description HR Analytics Overview
HR Analytics is a data reporting module integrated within the Rippling platform, a workforce management and payroll software ecosystem. The tool provides administrators with dashboards and customizable reports regarding employee headcount, payroll expenditures, and staff turnover rates. By centralizing data from other Rippling modules, it enables organizations to analyze workforce metrics and inform operational decisions. This functionality is intended for human resources professionals, financial analysts, and business managers who rely on employee data to guide corporate strategy.
help HR Analytics FAQ
What can Rippling HR Analytics report?
Rippling's analytics tools cover headcount, payroll and compensation spend, employee records, turnover, time off, devices, and access data. Rippling says it provides hundreds of preconfigured reporting recipes that can be customized. [Rippling Analytics](https://www.rippling.com/platform/analytics)
Can I build custom HR reports in Rippling without SQL?
Yes, Rippling describes point-and-click report building with selectable variables, grouping, charts, and filters. It also says users can run reports through their own permission profile without separate viewer or editor license charges. [Rippling Analytics](https://www.rippling.com/platform/analytics)
Can Rippling HR Analytics combine HR, IT, and finance data?
Rippling says its data architecture connects HR, IT, Finance, and Operations data without manual spreadsheet joins. Its platform page also advertises more than 650 integrations, although the available data depends on the modules and integrations enabled in the account.
How does Rippling protect payroll and compensation data in reports?
Admins use role-based permission profiles to control which employees and fields each person can see. Rippling says those permissions update when a user's role changes, which helps limit access to sensitive payroll and compensation information. [Rippling Analytics permissions](https://www.rippling.com/platform/analytics)
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