A people analytics platform that keeps employee data in your environment. Query BambooHR, your HRIS, payroll, and ATS in plain English. Self-hosted, open source, no per-seat pricing. Book a demo.
By Anusha Maduri, Marketing & Content Specialist, Analytify AI · Updated June 10, 2026
A people analytics platform is business intelligence built for HR, where the job is to join HRIS, payroll, applicant tracking, and engagement data into one trusted view of the workforce. Analytify gives People Ops teams an AI-powered, self-hosted platform that connects directly to BambooHR and your HRIS, lets you query employee data in plain English, and gives HR a real hr dashboard without a per-seat bill that climbs every time you add a partner.
The difference that matters most for HR is where the data lives. Employee records are some of the most sensitive data a company holds, covering salaries, performance, health enrollment, and protected demographics. Most people analytics tools require you to copy all of that into their cloud. Analytify runs in your own environment, so employee personally identifiable information never leaves your control, and the metric logic stays auditable rather than locked inside a vendor model.
It helps to separate two terms that get blurred. Packaged suites like Visier and Crunchr analyze the data they ingest and present it back through their own model and metric library. Workforce analytics on an open platform is broader: it reads from any source you point it at, joins on your terms, and lets you ask questions the vendor never anticipated. One is a fixed set of answers, the other is a queryable system you own. For the wider context, see our overview of AI-powered business intelligence.
Tableau, Power BI, and the big people analytics suites are capable, but HR hits three walls. First, residency: most tools require employee data to sit on a vendor cloud, which compliance and works councils push back on. Second, speed, because a new question means a ticket to the data team or a wait for a custom report. Third, the trust gap, since "attrition" or "regretted loss" is defined differently in every export. HR needs answers in minutes, on its own definitions, against data that stays inside the company.
A complete hr dashboard is a handful of views that answer the questions a CHRO and the business ask in every workforce review. These are the ones to build first.
Voluntary and involuntary attrition, regretted versus non-regretted loss, and attrition by team, tenure, and manager. Because replacing an employee can cost 50 to 200 percent of their salary, this is the view that pays for the whole platform. Pair it with predictive analytics to flag flight risk before resignations land.
Pay distribution against band, compa-ratio, and pay gaps across gender, ethnicity, and other protected groups. This is the most sensitive workforce analytics there is, which is exactly why it should be computed where the data already lives rather than copied to a vendor.
Headcount by org, department, and location, plus span of control and management layers. Join open requisitions to budget so finance and HR read the same plan. This is where BI for the CFO and HR meet.
Time-to-fill, time-to-hire, source effectiveness, and offer-acceptance rate, pulled straight from your ATS. The recruiting funnel is the most data-rich corner of HR and the easiest place to show early wins.
Employee net promoter score, engagement survey trends, and participation, joined to tenure and attrition so you can see whether sentiment actually predicts who leaves.
Representation across the funnel from applicants to hires to promotions, plus retention by demographic. Reporting these accurately and privately is far easier when the data never leaves your environment.
The capability that separates Analytify from both traditional BI and packaged HR suites is plain-English querying against your raw people data. You do not wait for a dashboard or learn the vendor's metric library. You ask, using generative BI that writes the SQL for you.
Because the query respects your semantic layer, the definition of "attrition" or "regretted loss" is consistent no matter who asks. That is how a people analytics platform closes the trust gap instead of widening it. And because sensitive fields like pay and demographics are governed by row-level security, the right people see the right slices and nobody sees what they should not.
Packaged suites are good at what they bundle, but HR pays for that convenience in price, lock-in, and residency. Entry-level tools like ChartHop and Crunchr commonly run 5 to 8 dollars per employee per month, while enterprise platforms like Visier and Workday People Analytics use custom pricing that reaches five or six figures a year. More importantly, you report on the data they ingest, on their model, in their cloud.
| Factor | Packaged HR suites (Visier, ChartHop, Crunchr) | Analytify |
|---|---|---|
| Pricing model | Per employee per month, or five to six figure custom | Platform license, unlimited internal users |
| Where employee data lives | Vendor cloud | Your environment, self-hosted |
| Query raw HR data freely | No, limited to their data model | Yes, your schema, any join |
| Plain-English / text-to-SQL | Limited to packaged views | Built in, on raw data |
| Open source and auditable | No | Yes |
| Embed in your own HR portal | Limited | Yes, white-label |
An hr dashboard is only as honest as the systems behind it. Analytify connects the tools People Ops runs on and keeps them current:
Joining headcount to compensation to engagement in one place is exactly what packaged tools make hard, and it is where the most valuable workforce analytics live. For larger estates, Analytify reads directly from Snowflake, BigQuery, and PostgreSQL.
Employee data is the most regulated data HR holds, and at security-conscious companies that means it should not sit on a vendor's cloud. Analytify is a self-hosted BI tool that runs in your own environment, and it is an open-source BI tool, so there is no black box around how a sensitive metric like a pay gap is calculated. For HR, residency is not a nice-to-have, it is what lets you run pay equity and DEI analysis without a data-transfer agreement or a works-council fight. Strong data governance and row-level controls mean the platform respects the same access rules your HRIS already enforces. The same platform also powers embedded analytics and white-label analytics if you want to surface workforce views inside a manager self-service portal, and it doubles as a self-service analytics platform for the whole People team.
The incumbents can build an hr dashboard, but they were not designed for data residency or whole-team access on sensitive records. See the side-by-sides for Analytify vs Tableau, Analytify vs Power BI, and Analytify vs Looker, or compare the full pricing for unlimited internal seats. Teams that run HR and finance together often pair this with our BI for RevOps page for the go-to-market side of the house.
It is business intelligence built for HR and People Ops. It unifies HRIS, payroll, ATS, and engagement data into one source of truth so HR can track retention, headcount, pay equity, time-to-hire, and engagement in real time.
Standard HR reports are static exports rebuilt by hand each cycle, often with metric definitions that drift. A people analytics platform is queryable and governed, so attrition and pay equity read the same for everyone and you can ask new questions without a ticket.
Retention and regretted attrition, compensation bands and pay equity, headcount and span of control, time-to-hire and the recruiting funnel, engagement and eNPS, and DEI representation across the funnel.
Replacing an employee costs between 50 and 200 percent of their annual salary according to SHRM and Gallup, with senior and specialized roles at the high end. That is why retention analytics usually pays for a platform on its own.
Yes. Analytify is self-hosted, so it runs inside your environment and employee personally identifiable information never leaves your control, which makes pay equity and DEI analysis far easier to run compliantly.
Yes. Analytify connects directly to BambooHR, your HRIS, payroll, and ATS, and lets you join them on your own schema, plus warehouses like Snowflake, BigQuery, and PostgreSQL.
Yes. Analytify uses text-to-SQL so you can ask a question in natural language and get an auditable query and chart against your raw people data, with row-level security on sensitive fields.
Yes. Analytify is open source and self-hosted, with no per-seat pricing, and it reports on your raw HR data inside your environment rather than a packaged data model in a vendor cloud.
Book a walkthrough and we will show Analytify against a stack like yours, self-hosted, with no per-seat pricing.