How to Build a Data Performance Metrics Dashboard

Julie SkeenMay 10, 2021

Businesses analyze data to feed their sales pipeline, enhance business processes, uncover competitive opportunities and generate revenue. Data now permeates across every aspect of the business. We expect high-quality data delivered at lightning speeds to analyze and help us make intelligent decisions and inform our actions.

However, when it comes to results and accountability, not all businesses have a detailed data performance metrics dashboard that measures exactly how data supports company health.

A data performance dashboard tracks and displays how different data sets impact other business processes and operations. An effective dashboard provides modules to track, analyze and present key performance indicators (KPIs) associated with enterprise data.

With modules for data governance, data quality, data catalog and analytics, a data performance metrics dashboard provides operational views of data so users can visually see how data fits into every aspect of the business at-a-glance.

Building a Dashboard on a Foundation of Data Governance

Data governance is the foundation of turning enterprise data into a company asset. Any data performance dashboard should include data governance metrics, measuring which data provides the most value for each business goal.

With a comprehensive data governance module, organizations provide real-time transparency into their data landscape. For example, the most effective dashboards measure data results to forecast business outcomes against corporate objectives in real-time. As a result, business users gain insights into how transactional data connects to different data outcomes.

With a governance module, the dashboard helps ensure all users have the same understanding of the definitions of business terms and metrics.

A data performance metrics dashboard also helps establish a business language for data.

Improving Data Literacy with a Data Performance Metrics Dashboard

Establishing data visibility and trust is essential in business. But so is improving data literacy among business users looking to leverage data to generate ROI.

A data catalog module that includes a 3D view of data lineage empowers users to visualize how data flows through an organization to better understand what data means to the business. With 3D lineage, users gain a contextual meaning from data by understanding its use and its business impact.

Now, users can uncover key details about where data originates, how it flows through the organization, and how it impacts key analytics, compliance needs and business initiatives. As a result, the dashboard generates a business language for data, improving data literacy and helping business users understand the different data definitions, rules and policies.

A solid understanding of the organization’s data landscape sets the stage for successful analytics projects.

But users also need a module for ensuring data trust.

Integrating Data Quality into the Data Performance Metrics Dashboard

Since data governance modules provide transparency, users know what data is available. They also need a module to measure data accuracy. Including data quality as an underlying core component of the data, the performance metrics dashboard generates trust among users before drawing insights.

When data quality is applied to the data, it should include a reusable rules library to efficiently measure the completeness, conformance, accuracy, consistency and timeliness of data. Reusable data quality rules can significantly lower development time and eliminate data redundancies.

Effective data quality must also include exception management workflows. That way, when there is a data quality error, it is automatically sent to the right data steward for immediate remediation.

Self-Service Analytics as a Part of Your Data Performance Metrics Dashboard 

With high-quality, well-governed, business-ready data, users can self-service their analytical needs. By incorporating self-service analytics capabilities as a part of the metrics dashboard, users quickly acquire and blend data from virtually any source.

Additionally, self-service analytics capabilities help users explore and visualize the distribution of enterprise data. Subsequently, users can track missing and outlying data values, sort and filter relevant data and measure enterprise-wide impact.

Ultimately, these capabilities enable users to process data quickly, inspect intermediate data to validate results, identify anomalies and build confidence in analytical results.

A comprehensive data performance metrics dashboard that incorporates data governance, data catalog, data quality, and analytics capabilities allows users to uncover, visualize and measure how enterprise data impacts different business assets. Users have a centralized dashboard to access, manage, use, and benchmark analytics projects in real-time, while management has the metrics to track business objectives and ensure the organization performs and produces the best results.

Are you ready to build a meaningful data performance metrics dashboard? Download our product demo, Data Quality Dashboards within Data360.

Do you need more information about data governance, data catalogs and 3D data lineage? Read this article from Emily Washington, Infogix’s executive vice president of product management, How 3D Data Lineage Provides Detailed Information Around Data Catalogs.