Your Workday data, finally free.

Workday holds your most valuable finance and HR data behind a reporting interface that takes a specialist to drive. Most organizations don't have one on staff, and can't get one on the phone when they need one.

The Typical Workday Analytics Stack
What organizations pay to work around Workday's reporting limits
Workday Prism Analytics $80–120K/yr
Third-party connector stack $25–50K/yr
BI tool (Tableau / Power BI) $20–40K/yr
Workday reporting specialist $120–180K/yr
Total Complexity Tax $245–390K/yr
Databasin — all four replaced Starting at $24K/yr

Workday is a system of record. Analytics was never the job it was built for.

01
Business object complexity that defeats non-specialists
Workday's reporting requires you to understand primary vs. related business objects, calculated field constraints, and security domain structure. Get the data source selection wrong and the report still runs. It just returns wrong answers — silently.
02
Effective-date logic that breaks historical reporting
Salary, grade, manager, and cost center are all effective-dated. A query that ignores that logic returns today's values for historical periods, and your headcount chart comes back confidently wrong.
03
Prism Analytics that costs six figures and still needs a warehouse
Prism is marketed as advanced analytics. Practitioners describe it as a data hub with sharp limitations: row-based pricing, single security domain per dataset, and a UI that's harder to use than SQL.
04
Finance and HR data that can't join with anything else
Workday Financials and HCM live in separate object hierarchies. Getting headcount-adjusted revenue, or joining comp data with operational metrics, requires exports, spreadsheets, and someone who knows where all the pieces live.
05
Pipelines that break on tenant upgrades
Workday tenant updates change calculated field behavior, break custom report outputs, and silently alter business object relationships. Every upgrade is a potential incident for whoever built the integrations.
06
Historical data stranded after migrations
Organizations that migrated from a prior HRIS or ERP system often find that pre-migration history can't be reconciled with Workday data. The break point becomes a permanent gap in every longitudinal report.

The problem. The Databasin fix.

Area
The Workday Reality
The Databasin Fix
Data Extraction Business object model that defeats non-specialists
Workday's data model requires traversing primary and related business objects correctly. One wrong data source selection and your report is confidently wrong. Most organizations need a Workday expert just to build a reliable headcount report.
Databasin's Workday connector understands the business object model. It traverses the hierarchy correctly at ingestion, resolves effective dates automatically, and hands the lake house clean, historically accurate data. No Workday expertise required downstream.
Historical Accuracy Effective-date logic that corrupts history
Salary, grade, manager, and org structure are all effective-dated, so a query without explicit date handling returns today's values for historical periods. Most Workday reports are silently wrong about the past.
Effective-date resolution is handled at the connector layer, so every historical snapshot is preserved correctly in the bronze layer. Full compensation history, org hierarchy changes, and position changes are all there and all accurate, with no custom logic to write.
Cost Prism Analytics plus a warehouse plus BI
Prism costs six figures and still has row-based pricing, single security domain limitations, and a development experience practitioners describe as harder than SQL. Most orgs end up paying for Prism and a separate warehouse anyway.
Databasin replaces Prism, the connector stack, and the BI tool in a single governed platform, with natural language querying on top. That is one renewal and one support relationship, at up to 80% less than the equivalent capability assembled separately.
Integration Finance and HR data that can't join with anything
Workday Financials and HCM live in separate object hierarchies inside Workday and in separate silos outside it. Getting headcount-adjusted revenue or org-aligned cost analysis means manual exports, spreadsheet wrangling, and prayer. The reconciliation never quite works.
Workday Financials, HCM, and every other system land in a single governed lake house that runs one medallion architecture (bronze for raw data, silver for transformed, gold for governed analytics) and one semantic layer. Headcount, comp, and GL data get joined by the platform, not by an analyst at month-end.

Medallion architecture is built in, not bolted on.

It organizes your data into three governed layers: Bronze, Silver, and Gold. Every downstream consumer gets clean, trustworthy data without manual intervention, and Databasin builds and maintains all three layers automatically from your Workday connection.

🥉 Bronze — Raw
Everything Workday knows, exactly as it exists
Full fidelity extraction from Workday HCM and Financials. Every field, every effective date, every change is preserved, with no transformation and no loss.
Effective-date snapshots preserved automatically
Full change history with nothing overwritten
Tenant-upgrade resilient because the connector adapts automatically
Pre-migration history reconciled at ingestion
🥈 Silver — Transformed
Business logic applied. Data joined and ready to analyze.
Workday's object hierarchy gets resolved and effective-date logic applied. Finance and HR data lands in one coherent model your team can actually work with.
Object hierarchy traversed correctly, with no specialist required
Intercompany eliminations and GL reconciliation applied
Headcount, comp, and org data joined in one model
Historical org charts rebuilt from effective-date logic
🥇 Gold — Governed
One source of truth. Everyone works from the same headcount number.
Metric definitions are enforced here, from headcount and FTE to cost center and budget vs. actuals. Finance and HR source from the same governed layer, and AI queries run against this layer only.
Consistent metric definitions that end the reconciliation debates
Board and investor reporting from one trusted source
Natural language queries via Databasin One, which answer from the governed layer only
Shareable dashboards in one click from the gold layer
Two Teams. One Platform.

Finance and HR have different problems. Databasin solves both.

Select your team to see what matters most.

For CFOs, Controllers & Finance Directors
Close faster. Trust the numbers.
Revenue, AR, and cost data live in three places. At month-end they never match cleanly, and your best analyst spends half the close wrangling Workday exports instead of doing the analysis that matters. Databasin automates the reconciliation so your team can do the work only they can do.
  • Automated pipeline from Workday Financials into a governed lake house, which ends the manual exports and the reconciliation roulette at close
  • Join Workday GL data with your ERP, CRM, and operational systems for the complete financial picture Workday alone can never provide
  • Consistent metric definitions enforced across every report, so charges, payments, and adjustments are calculated the same way, every time, by everyone
  • Board and investor reporting built from one trusted source — not assembled the night before from six different exports
See how it works
Finance outcomes
BEFORE
Month-end close takes 3 days longer than it should. Finance team manually reconciles Workday, ERP, and spreadsheet exports. CFO's number doesn't match the controller's number.
AFTER DATABASIN
Workday Financials extracted nightly into a governed lake house. Intercompany eliminations applied at the silver layer. Budget vs. actuals is a live dashboard. Close is faster because reconciliation is automated.
For CHROs, HR Directors & People Analytics
One headcount number. Everyone agrees.
Finance's headcount doesn't match HR's. Historical org charts don't exist, because effective-date logic was never handled, and compensation benchmarking still takes a custom Workday report plus two days of analyst time. Databasin puts all of that on autopilot.
  • One headcount definition, enforced in the gold layer, so Finance and HR source from the same number
  • Full compensation history, because effective-date logic is resolved at the connector instead of being left to individual report logic
  • Org hierarchy analytics that reach back to day one of your Workday implementation, with no missing pre-migration history
  • Natural language queries for CHRO-level questions that used to require a Workday specialist and a ticket queue
See how it works
HR outcomes
BEFORE
CHRO asks for headcount by department and gets three different answers from Finance, HR, and IT. Historical org charts don't exist. Comp benchmarking requires a Workday specialist and takes a week.
AFTER DATABASIN
One headcount definition, enforced by the platform. Full compensation history with correct effective-date logic. Org hierarchy back to implementation day one. CHRO queries in plain English and gets governed answers.

Built at WashU Medicine. Ready for your Workday environment.

Co-created at Washington University School of Medicine to solve the same class of data access and pipeline problems that Workday creates for finance and HR teams every day. The same platform, a different connector.

75 +
Connectors — Workday, ERP, CRM, cloud warehouses, AI APIs, and every major SaaS tool
80 %
Average cost reduction versus comparable lake house platforms, Workday Prism included
Day 1
Time to a governed, historically accurate Workday lake house with effective-date logic already resolved
"
Workday is a powerful system of record. It was never designed to be your analytics platform. Databasin sits next to it and finally makes all that finance and HR data useful to the people who need it most.
Chris Lundeberg — Co-Founder & CPO, Databasin
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