Connector Database / Workday

Analyze your Workday data with AI

Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Workday data with AI-powered assistant.

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Workday logo
01

Start with a question

Generate automated reports and business intelligence insights from your Workday data—as fast as you can ask them.

Start with a question
Build visualizations and charts
02

Build dashboards and data visualizations

Transform your conversation into dynamic data visualizations on an intuitive data canvas.

03

Integrate all your data

Unify your Workday data with DuckDB-powered data warehouse including MongoDB, Stripe, Quickbooks and S3.

Integrate all your data

Available Workday Data

Extracts data from Workday custom reports exposed via Report-as-a-Service (RaaS). You provide one or more Workday report URLs, and the integration fetches their JSON feeds and streams records based on the report’s schema. This enables centralizing and analyzing HR, payroll, finance, time tracking, recruiting, and other operational data as defined by your Workday custom reports.

Worker

Represents employees and contingent workers; enables headcount, hiring/termination trends, tenure, diversity, and workforce distribution analysis.

Position

Represents jobs/positions and attributes like FTE, grade, and job profile; supports vacancy tracking, filled vs. open positions, span of control, and workforce planning.

Organization

Represents organizational structures such as supervisory orgs, cost centers, and companies; enables rollups by org, cost allocation, and budget vs. actuals by hierarchy.

Time Entry

Captures reported hours by worker, project, or shift; supports utilization, overtime tracking, labor cost allocation, and compliance monitoring.

Absence

Tracks time off and leaves of absence; enables PTO balances, leave utilization, absenteeism trends, and policy compliance analysis.

Payroll Result

Contains payroll earnings, deductions, taxes, and net pay by worker and pay period; supports labor cost analysis, payroll variance, and tax reporting.

Compensation

Represents base pay, allowances, bonuses, stock grants, and merit changes; enables comp ratio, pay equity, and merit cycle effectiveness analysis.

Requisition

Represents job requisitions and openings; supports pipeline coverage, time-to-open/fill, and recruiter workload metrics.

Candidate

Represents applicants and their stage progression; enables funnel conversion, source quality, time-in-stage, and offer acceptance analysis.

Financial Transaction

Captures operational finance records such as journal entries, supplier invoices, and expenses; supports spend analysis, GL reporting, and budget vs. actuals.

Authentication Required

Uses your Workday username and password via HTTP Basic Authentication

Getting started with Workday Analytics & Business Intelligence

01

Connect your Workday data

Connect to Workday once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.

02

Build business intelligence models

Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.

03

Generate reports and insights

Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.

Want to see how easy it is to get started?

Workday usersDefinite

People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.

I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.

Aditya Sarkar

Co-Founder at Lean

A data platform built for startups

Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.

Ryan

CEO at a 9-figure E-comm Company

Immediate ROI

Have questions?

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