Rocket Data Intelligence Canned Demo

Evolve Your Data Intelligence Practices

How your organization derives value from Rocket Data Intelligence can evolve over time. Begin with a thorough discovery process to map the data landscape across your entire IT infrastructure. Once you know what data you have and its origins, plan around data you can trust. At this time, take measures to remediate bad quality data. Finally, optimize your data footprint and processes to maximize the value and efficiency of your critical business initiatives.

Discover your Data Landscape

• Start with a system inventory, which helps you quickly and comprehensively identify critical data for your company’s business and regulatory requirements.
• Utilize dependency analysis to fully map the relationships between your data and applications.
• Leverage root cause analysis to diagnose why data values may not be matching your expectations.

Plan around Trusted Data

• Use impact analysis to identify and plan for the downstream effects of updating data and data flows.
• Leverage lineage comparison to validate data integrity. Lineage comparison utilizes automated data lineage to build a before and after view of your data for when you conduct large-scale initiatives like cloud migration or data integration.

Optimize your Data Footprint and Processes

• Utilize data insights to improve the health of your data landscape:
  • Identify opportunities to reduce data bloat, from simple updates to large scale events like cloud migration or M&A.
  • Map out ETL’s and remove unused processes
  • Identify and remove low-quality data that is not providing value to the overall data landscape.
• Harness data monitoring to seamlessly adjust to continuous updates in data structures and data flows.