UKG Reporting With Data Hub and People Analytics

UKG customers typically choose between three reporting layers: in-application reports for daily operations, UKG Pro People Analytics for HR and payroll dashboards, and UKG Pro Workforce Management Data Hub for warehouse scale analysis in Google BigQuery. The right choice depends on who asks the question, how much history it needs, and whether it combines non UKG data.

Key takeaways

  • Data Hub, formerly UKG Dimensions Data Hub, delivers UKG Pro WFM data into BigQuery for SQL and BI tool analysis.
  • UKG Pro People Analytics offers prebuilt reports, dashboards and alerts across HR, payroll, talent and WFM data.
  • UKG now markets a broader Workforce Intelligence Hub. Confirm with your account team which components you are licensed for.
  • Agree metric definitions, such as overtime percentage and turnover, before building dashboards.
  • Reporting access is a data privacy decision. Design roles before you share dashboards.

What are the current UKG reporting and analytics products?

Product names have changed several times since the Kronos and Ultimate Software merger, so it helps to pin down what each term means today. Verify against your contract, because packaging differs by customer.

ProductWhat UKG says it doesTypical user
In-application reportsOperational lists and reports inside UKG Pro, Pro WFM or ReadyManagers, payroll, timekeeping admins
UKG Pro People AnalyticsPrebuilt report library, custom reports, dashboards, automated email alerts, predictive analytics, Pay Equity reports and a Diversity Dashboard, with role based accessHR business partners, HR leaders, comp and DEI teams
UKG Pro Workforce Management Data HubA Google Cloud hosted data warehouse for extracting large volumes of WFM data, with SQL like access and use in BI tools of your choiceData analysts, finance, operations analytics
UKG Workforce Intelligence HubA suite of workforce data and analytics solutions combining HR, pay and WFM data, with UKG benchmarks and AI driven insights, extendable through APIs, webhooks and data streamsHR, operations and data teams

Sources for the table are UKG's People Analytics product profile, its Data Hub product page and its Workforce Intelligence Hub page. UKG Ready has its own reporting tools; the decision framework below still applies.

When should you use Data Hub instead of standard UKG reports?

Data Hub earns its cost when questions need long history, large volumes or data from outside UKG. In a 2021 UKG blog post, a UKG data scientist described Data Hub as built on Google BigQuery, holding time and attendance, scheduling, volume and employee data, and queryable with SQL. The same post makes a useful distinction: Data Hub is for bulk and historical analysis, while APIs remain the better choice for streaming data, changing data in a tenant or integrating with other platforms.

Good fits for Data Hub

  • Labor cost trends across several years and many sites.
  • Joining timecard data with sales, census, production or patient volume from other systems.
  • Forecast accuracy analysis comparing scheduled, forecast and actual hours.
  • Feeding an enterprise data warehouse or BI platform your company already runs.

Poor fits

  • A manager's daily list of missed punches. Use in-application tools.
  • Writing data back to UKG. Use APIs.
  • Teams without anyone who can write SQL or maintain a BI model.

Which questions does People Analytics answer well?

People Analytics suits HR questions that combine employee, pay and talent data and need to be shared with leaders who will not write queries. Examples include turnover by manager and tenure band, pay equity analysis, headcount and cost by department, and alerts when a metric crosses a threshold. The product profile describes automated email alerts for events such as cost overruns or compliance issues, which is often the fastest way to get value: a short list of alerts that reach the right people beats a dashboard nobody opens.

Predictive features deserve care. Treat a flight risk or similar score as a prompt for a conversation, not a decision, and check whether the model's inputs could proxy for protected characteristics. Our article on predictive workforce analytics to prevent turnover covers how to use these signals responsibly.

How do you define workforce metrics so reports agree?

Most reporting arguments are definition arguments. Before building anything, write a metric dictionary and get HR, payroll and finance to sign it.

MetricDecisions to make
Overtime percentageOvertime hours over total worked hours, or over regular hours? Include daily overtime and premiums?
Turnover rateVoluntary only or all separations? Average headcount or start of period? Include seasonal staff?
Absence rateWhich paycodes count? Are approved PTO days included or only unplanned absences?
Labor costWages only, or wages plus employer taxes and benefits? Cost center from home or worked labor account?
Schedule adherenceTolerance window in minutes, and how to treat unscheduled shifts

Once defined, name the system of record for each metric. If People Analytics and a Data Hub dashboard both show turnover, decide which one is official and label the other as exploratory. For more on choosing which metrics to track, see tracking KPIs through your HRMS.

How should you govern access to UKG analytics data?

Analytics tools concentrate sensitive data: pay, performance, leave and sometimes demographic fields. Governance decisions to make up front:

  • Role design: map who sees which populations and fields. People Analytics supports role based access; use it deliberately rather than granting broad roles for convenience.
  • Warehouse access: Data Hub data lands in your Google Cloud environment, so your own cloud access controls, logging and retention policies apply. Involve IT security before the first load.
  • Small cell suppression: hide or aggregate results when a group is small enough to identify individuals, especially for pay equity or diversity views.
  • Change control: treat shared dashboards like code. Changes to a published metric need an owner and a note.

Our guide to building a reporting governance strategy is written for Workday, but the governance model transfers directly to UKG. For more UKG administration guides, visit our UKG guides hub.

Frequently Asked Questions

Is UKG Data Hub the same as UKG Dimensions Data Hub?

Yes. UKG's product page describes UKG Pro Workforce Management Data Hub as formerly the UKG Dimensions Data Hub, following the rename of Dimensions to UKG Pro Workforce Management. Documentation and community posts may use either name. Confirm with your account team whether Data Hub is part of your current subscription or a separate entitlement.

Do we need a data team to use Data Hub?

In practice, yes. Data lands in Google BigQuery, so someone must write SQL, model the data and maintain BI dashboards. UKG's product page mentions access to UKG experts on best practices, but ongoing analysis needs internal or partner capacity. Without it, People Analytics or in-application reports are usually a better first step.

Can People Analytics include data from outside UKG?

UKG's People Analytics product profile describes combined analysis of HR, payroll, talent and workforce management data, including data from other business systems. The specifics depend on your configuration and licensing, so confirm which external sources are supported and how often they refresh before promising cross system dashboards to leaders.

Where should a new UKG reporting program start?

Start with five to ten metrics leaders already ask about, define them in a metric dictionary, and deliver them with the simplest tool that works. Add alerts for the two or three thresholds that need action. Move to Data Hub when questions require multi year history or non UKG data.

Next steps for your UKG reporting plan

  1. Confirm which analytics products your UKG contract includes.
  2. Write a metric dictionary with HR, payroll and finance sign-off.
  3. Assign each metric a system of record and an owner.
  4. Design analytics roles with IT security before sharing dashboards.
  5. Pilot with one leadership team, collect feedback for a quarter, then expand.

Last reviewed: October 2026.

Sources

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