Create a Custom HCM Dashboard in UKG Using CloudApper

Create a Custom HCM Dashboard in UKG Using CloudApper

To build a custom HCM dashboard for UKG with CloudApper, start with the decisions the dashboard must support, then connect UKG and your other HR data sources, map employee IDs, build the views with a drag-and-drop editor, set access by role and add alerts for the thresholds you care about. The tool is the easy part; agreeing on metrics and cleaning data takes most of the time.

Disclosure: The author works at CloudApper, which makes CloudApper AI.

This guide is for HR, payroll and operations leaders running UKG who still rebuild the same reports in spreadsheets every month.

Key takeaways

  • Standard UKG reports cover broad use cases; custom dashboards are worth it when you need to combine UKG data with other systems.
  • Define the decisions first, with the people who will use the dashboard.
  • Data mapping across systems (IDs, departments, hierarchies) decides whether the dashboard can be trusted.
  • Set role-based access before launch, not after.
  • Alerts and a regular review rhythm turn a dashboard from passive reporting into active monitoring.

Why do standard HCM dashboards fall short?

UKG handles payroll, scheduling, time and HR data at scale, and it ships with solid reporting. If you haven't explored it fully, start with our guide to UKG reporting with Data Hub and People Analytics. But out-of-the-box reporting is designed for the widest range of customers, so any one organization ends up with views that show some of what it needs and a lot it doesn't.

The familiar result: HR and operations teams export from UKG, paste the data next to exports from a survey tool or a talent system, and rebuild the same picture by hand. The data exists. What's missing is a view built around the decisions the business actually makes.

CloudApper AI addresses this by letting teams build dashboards that combine UKG data with data from other connected systems, without replacing UKG. According to CloudApper's platform page, the toolset includes Dashboard and Reports, a drag-and-drop editor, integration connectors and AI agents for data processing and predictive analytics, with UKG among the named integrations.

Step 1: Which metrics should the dashboard track?

The most common mistake is starting with the tool instead of the question. Before configuring anything, write down the decisions the dashboard must support and who makes them.

Headcount and turnover are obvious starting points but rarely enough on their own. More useful cuts include:

  • Turnover by department, manager, tenure band and role type.
  • Overtime hours and cost by location and week, compared with schedule.
  • Absenteeism trends by shift pattern.
  • Time to fill by job family and hiring manager.
  • Engagement or satisfaction scores plotted against scheduling or policy changes.

Involve the people who will use the dashboard, not just the people who asked for it. What HR leadership thinks operations managers want is often different from what those managers need each week. For more on picking and defining measures, see our guide to tracking HR KPIs in your HRMS.

Step 2: How do you connect and clean the data?

CloudApper's integration layer connects to UKG and to other HR and operational systems. A typical dashboard might combine payroll and time data from UKG, performance data from a talent system and engagement data from a survey tool. CloudApper's HCM extensibility page lists pre-built integrations to more than 100 systems, plus the option to build custom ones.

Connecting UKG is usually the straightforward part. Adjacent systems cause most of the work:

  • An HRIS or survey tool that identifies people by email instead of employee ID.
  • Scheduling software with department names that don't match UKG's cost centers.
  • Historical data with retired job codes.
  • Different time zones or week-start days between systems.

Build a mapping table for IDs, departments and job codes before you build any charts, and agree who owns it. This step isn't exciting, but it decides whether people trust the numbers.

Step 3: How do you build and secure the dashboard?

With a drag-and-drop editor, HR analysts can arrange charts, trend lines, scorecards and tables without a developer for every change. That matters because dashboards are built through iteration: you show a draft, users point out that a metric is calculated differently than they assumed or that the time window is wrong, and you revise. When each revision needs a developer ticket, it takes weeks. When the analyst can change it directly, it takes minutes.

Decide access before launch:

  • Which views are organization-wide and which are scoped to a business unit or location.
  • Which metrics (pay, performance, investigations) are restricted to HR leadership.
  • Whether managers see only their own teams.

Mirror the access model you already use in UKG where you can. Our guide to UKG Pro role-based security for HR, payroll and managers is a good reference. Retrofitting access after people have seen data they shouldn't is much harder.

Step 4: How do you use alerts and monitoring?

A dashboard is most valuable when it's built into how decisions get made, such as a weekly operations review or a monthly HR review, rather than checked whenever someone remembers.

Alerts help. CloudApper lists dashboards, predictive analytics and real-time alerts as part of its HCM extension layer. Useful thresholds include:

  • Overtime hours that exceed budget or policy for a location. Under the FLSA, covered non-exempt employees must be paid one and a half times their regular rate for hours over 40 in a workweek (see the DOL's FLSA overview), so overtime creep shows up quickly in labor cost.
  • Turnover in a team rising above a set level.
  • Absenteeism above a baseline for a shift.
  • Engagement scores falling below a baseline after a change.

Where AI pattern detection helps, and where it doesn't

Predictive analytics can surface links you'd miss looking at one metric at a time: turnover concentrated under certain managers, engagement drops that come before resignations, overtime that tracks with particular schedules. The value is early warning, while there's still time to act.

But a correlation isn't a cause. A turnover spike in one quarter may reflect a planned restructuring, not a retention problem. Have people with business context review flagged patterns before acting, and be careful with any model output used in decisions about individuals. The NIST AI Risk Management Framework is a practical reference for governing that. Our piece on governing AI-driven HR analytics covers the HR side.

When is a custom dashboard worth it?

SituationCustom dashboard likely worth it?
Data from several systems must be combined for one decisionYes
Many locations, departments or job typesYes
Teams rebuild the same spreadsheet report every monthYes
Simple workforce, current UKG reports answer the questionsProbably not
Data quality problems nobody owns yetFix the data first

The business case usually comes down to decision quality and speed, plus the hours spent on manual reporting today. Count those hours, value them honestly, and compare them with the cost of the dashboard work.

FAQ

Do I need to replace UKG reporting to use a custom dashboard?

No. A custom dashboard sits alongside UKG and pulls data from it, so UKG remains your system of record and its standard reports keep working. The dashboard adds views that combine UKG data with other systems or that focus on specific decisions. Many teams keep using UKG reports for operational detail and the dashboard for cross-system summaries.

How long does it take to build a custom HCM dashboard?

It depends mostly on data, not the tool. Agreeing on metrics and mapping employee IDs, departments and job codes across systems usually takes longer than building the views. A dashboard drawing on UKG alone can come together quickly; one combining several systems with messy data needs time for cleanup and testing first.

Who should have access to an HR dashboard?

Give access by role and need. Managers typically see only their own teams, location leaders see their sites, and sensitive metrics such as pay or performance stay with HR leadership. Match the access model you already use in UKG, document it, and review it whenever roles or the organization structure change.

What to do next

  • Write down three decisions the dashboard must support and who makes them.
  • List the systems those decisions need data from and how each identifies employees.
  • Draft the access model before building any views.
  • Pick two alert thresholds to pilot, such as overtime and turnover.

Sources

Last reviewed: October 2026.

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