# Data Insights One view of your data program's health, goals, and costs [Get Collate Free](/welcome) ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%271400%27%20height=%27600%27/%3e)![Data Insights](/images/data-insights/data-insights-header.png) ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2744%27%20height=%2744%27/%3e)![Know your data health so you can act](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Know your data health so you can act](/images/data-insights/card-health.svg) Know your data health so you can act Org-wide data health (coverage, ownership, tiering, and usage) in one filterable view ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2744%27%20height=%2744%27/%3e)![Set goals, drive accountability](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Set goals, drive accountability](/images/data-insights/card-goals.svg) Set goals, drive accountability Time-bound KPIs for every team, tracked daily so progress is always visible ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2744%27%20height=%2744%27/%3e)![Cut waste before it compounds](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Cut waste before it compounds](/images/data-insights/card-cost.svg) Cut waste before it compounds Identify unused assets and surface infrastructure costs before they grow out of hand ## Know Your Data Health So You Can Act Org-wide visibility into data health, adoption, and service coverage Data Assets Report Track description, ownership, and tiering coverage by asset type (tables, dashboards, pipelines, ML models) all in one view App Analytics See which assets get the most use, who your power users are, and how platform adoption is trending over time Service-Level Insights Drill into any source to see description, PII, tier, and ownership coverage alongside AI-generated vs manual metadata ratios Trend Tracking Every metric is charted over time, so you see if coverage is improving, stagnating, or declining, not just where it stands today ![\[object Object\]](/images/data-insights/data-assets-report.png) ![\[object Object\]](/images/data-insights/data-assets-report.png) Highlight Feature Take Your Metadata to Your BI Stack Most data catalogs trap your metadata behind their own dashboards. Collate's Metadata Exporter streams your complete metadata to Snowflake, Databricks, BigQuery, Redshift, or Trino, ready to analyze in Power BI, Tableau, or Looker. Your metadata should flow to your tools, not force you to theirs. ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%27700%27%20height=%27450%27/%3e)![Take Your Metadata to Your BI Stack](/images/data-insights/take-metadata-to-bi-stack.png) ## Set Goals, Drive Accountability Time-bound KPIs and automated reporting to drive data program accountability ![\[object Object\]](/images/data-insights/company-wide-kpis.png) Company-Wide KPIs Set percentage or absolute targets for documentation and ownership, with a start date, end date, and daily progress tracking Team-Based Goals Assign KPI targets to specific teams so domain owners are accountable for their own data quality Weekly Email Reports Automatically send insights to admins and teams so progress stays visible without requiring anyone to log in Custom Dashboards Build charts across any entity type (glossary terms, data products, tags) using flexible formulas and filters ![\[object Object\]](/images/data-insights/company-wide-kpis.png) ## Cut Waste Before It Compounds Identify unused assets and optimize your data infrastructure spend Used vs Unused Analysis See exactly which assets are actively accessed and which consume storage without delivering business value Cost Trend Charts Visualize used vs unused asset size and count over time so the growth curve makes the problem impossible to ignore Unused Asset List A specific, actionable list of assets with last-access dates and storage size so you know exactly what to clean up Most Expensive Queries Surface the highest-cost queries across Snowflake to target optimization before spend compounds ![\[object Object\]](/images/data-insights/used-vs-unused-analysis.png) ![\[object Object\]](/images/data-insights/used-vs-unused-analysis.png) ## Built for modern data & AI practices Designed for changing needs of data & AI teams AI-Driven Automation Improve productivity, enforce governance and reduce costs with AI driven automation Unified Platform One platform for all your teams for data discovery, observability and governance Collaborate Around Data Accelerate development of data assets with social workspaces and knowledge centers Get started with Collate today for free [Get Collate Free](/welcome) Managed Service for Production Data Teams [Book a Demo](/contact-sales) ## FAQs Expand All What is Data Insights in Collate?+ Data Insights is Collate's built-in analytics layer for measuring the health, adoption, and cost of your data estate. It gives data leaders a single-pane-of-glass view of coverage, usage, KPI progress, and cost, grounded in semantic metadata definitions that ensure KPIs reflect business meaning consistently across your organization. Time-bound KPI targets create concrete accountability for data program goals. What KPIs can I track with Data Insights?+ Collate supports KPIs for description coverage and ownership coverage. Admins set percentage or absolute targets with a start and end date. Progress is tracked daily with a trend line chart, and weekly email reports keep teams and leaders informed without requiring anyone to log in. How does Collate help reduce data infrastructure costs?+ The Cost Analysis report (Collate only) combines usage lifecycle data and storage size from the profiler workflow to identify used vs unused assets. Area charts show unused data growing over time, and an actionable list gives you specific asset names, last-access dates, and storage sizes to act on. Currently supported for Snowflake. Can I build custom analytics dashboards in Data Insights?+ Yes. Beyond the default reports (data assets, app analytics, KPIs, cost analysis), Collate supports fully custom dashboards. You can chart any entity type (tables, glossary terms, data products, tags) using count/sum/avg functions or custom formula expressions with advanced filters. Teams have used this to build governance scorecards, glossary coverage dashboards, and domain-specific reporting. Can I export my Data Insights metrics to my own BI tool?+ Yes. Metadata Exporter (add-on) exports your complete Collate metadata to your own data warehouse: Snowflake, Databricks, BigQuery, Redshift, or Trino, in a documented, queryable format. From there, you can analyze it in Power BI, Tableau, Looker, or any BI tool your organization already uses. Unlike built-in dashboards, Metadata Exporter gives you full control: combine metadata with other data sources, run your own transformations, and build governance dashboards your stakeholders already know how to use. How does Data Insights help build a data-driven culture?+ Data culture requires visible goals, shared accountability, and regular feedback loops. Data Insights provides all three: KPIs make targets public and time-bound, weekly email reports keep teams honest, and app analytics show who is actually using the platform. Leaders can recognize teams improving their coverage, and domain owners can see exactly where to focus next. How do I ensure accuracy in my KPI figures?+ Accuracy is driven by the shared definitions in the semantic metadata grounding. Without shared definitions, different teams measure 'customer,' 'revenue,' or 'active user' differently. When KPIs are grounded in semantic metadata, every metric is calculated against the same governed business definition, eliminating measurement inconsistency across your organization. This means your documentation coverage KPI, your ownership targets, and your cost metrics reflect what's actually true, not what different teams interpret the data to mean. The result is metrics stakeholders trust.