Step 1: Define the Dashboard's Purpose
Before opening the dashboard designer, identify the audience, decisions, and measures the dashboard must support. A dashboard for accounts payable will have different data and priorities from one designed for sales, inventory, or executive reporting.
Write down the questions users need to answer, such as which invoices are overdue, which suppliers have upcoming payments, or how actual expenses compare with the budget. Choose a small group of indicators that directly supports these questions. Define each measure consistently, including the reporting period, currency, company, and transaction status.
For example, an accounts receivable dashboard could show total outstanding invoices, overdue balances, aging categories, and collections by customer. These measures give the finance team a practical starting point for monitoring collections and expected cash inflows.
Step 2: Select the Data Source
Open the available Epicor Data Discovery or reporting interface and identify the dataset, query, or data view that contains the required fields. Depending on the implementation, this may include general ledger transactions, invoices, purchase orders, customer records, supplier details, or inventory information.
Confirm that the selected source includes the necessary dimensions and measures. A chart showing overdue invoices, for instance, needs invoice amounts, due dates, payment status, and customer identifiers. Check that date fields use the intended accounting period and that amounts are represented in the appropriate currency.
When connecting Epicor to external systems or extending the reporting environment, consider the role of integrations with finance applications. The ERP Integration Layer: How It Powers Finance Automation explains why reliable connections and current data matter when business workflows depend on ERP information. Similarly, API Data Integration describes how applications exchange structured information through APIs.
Step 3: Build and Arrange Visualizations
In the supported dashboard designer, create a new dashboard or report-based view and add visualizations that match the questions defined earlier. The exact creation workflow depends on the Epicor product version and available permissions.
- KPI cards: Display headline figures such as total receivables, overdue invoices, or current-month expenses.
- Bar charts: Compare spending by department, supplier, product category, or business unit.
- Line charts: Track monthly revenue, payment trends, or changes in operating expenses.
- Tables: Show transaction-level details that users can review after identifying an exception.
- Filters: Allow users to narrow results by date, company, customer, supplier, or status where supported.
Arrange the dashboard so the most important indicators appear first, followed by trend comparisons and detailed records. Use consistent labels and units. Avoid combining measures with different meanings on one chart unless the visualization clearly explains how they relate.
Step 4: Configure Filters, Calculations, and Access
Configure available filters to help users examine the same data from different perspectives. A monthly financial dashboard might include fiscal period, company, department, and account filters. Verify that changing a filter updates the intended charts and tables and that totals remain consistent with the selected scope.
Where calculated measures are supported, document their definitions. For example, an overdue receivables measure should specify whether it includes all unpaid invoices past their due dates and how credit notes or disputed balances are treated. Reconcile key figures against an approved Epicor report before publishing the dashboard.
Access settings should reflect the intended audience. Users should see only the companies, records, and financial information permitted by their roles. For guidance on connecting analytics and automation securely, consult ERP Security Best Practices for Finance Teams (2026). If the dashboard is part of an ERP migration or system extension, ERP Modernization vs Finance Automation: Key Differences helps distinguish improvements to the underlying system from improvements to finance execution.
Step 5: Validate, Save, and Share the Dashboard
Test the dashboard using representative business scenarios before making it available to others. Check totals, date ranges, filter behavior, chart labels, and access permissions. Compare a sample of displayed transactions with their source records to confirm that the dashboard reflects the intended data.
Once the results are verified, save the dashboard and use the supported publishing or sharing process for the installed Epicor environment. If scheduled refreshes or shared workspaces are available, configure them according to reporting requirements. Establish an owner who can maintain the dashboard when account structures, business rules, or reporting needs change.
Dashboards can support different industries and reporting priorities. Retail teams, for example, may monitor sales, stock availability, and margins together, making ERP for Retail Industry: 2026 Guide to Platforms & AI relevant when planning an industry-specific reporting approach. A broader Sustainability Data Platform can also help organizations consolidate environmental and operational indicators for management review, while Data Platform Implementation Finance highlights the importance of planning data structures, ownership, and financial reporting requirements during implementation.
Extending Dashboard Insights into Finance Workflows
A dashboard makes information visible, while finance automation can help teams act on what they discover. The Hyperbots Platform uses AI to support finance and accounting workflows, including document processing and ERP-connected operations. Company Specific Configurations allow workflows, roles, ERP connections, and general ledger structures to reflect company requirements.
Process Specific Capabilities support defined finance processes, while Ready to Deploy Capabilities provide pre-trained agents and ERP connectors for finance tasks. These capabilities can complement dashboard reporting by helping teams process documents, route exceptions, and coordinate approved actions. The dashboard remains the monitoring layer, while connected workflows support execution.
Summary
To create a dashboard in Epicor Data Discovery, define the business questions, select the correct data source, build relevant visualizations, configure filters and access, and validate results before sharing. Use clear metric definitions and reconcile important figures with approved reports. A well-designed dashboard gives finance and operations teams a practical view of business performance and helps them prioritize informed actions.