Rocket® Data Intelligence

Accelerate data discovery, insight and impact

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Unlock the vast potential of your data

Built for the world’s most complex data environments

A self-service data intelligence platform built on automation that spans cloud, distributed, and mainframe infrastructures. Rocket Data Intelligence can manage the complex environments of the world’s largest organizations.
 

Built for every data user

Rocket Data Intelligence provides an intuitive interface with clear visualizations, enabling all users to quickly see a comprehensive view of their data landscape and the context needed to understand it's relevance, trustworthiness, and value.

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Data teams

Uncover new revenue opportunities, optimizing costs, reducing risk, and more.

IT

Deliver more complete results with more reliable, actionable data for IT modernization and growth initiatives.

Lines of business

Deliver greater business value from AI, analytics, and other corporate initiatives with complete information that includes the context needed to apply it effectively.

Streamline modernization

Enable “modernization-in-place" with adaptive, flexible implementation options that focus on immediate needs first and build out based on your priorities.

Accelerate growth

Free up knowledge workers for value-generating initiatives by delivering just the data they need to do their jobs exactly when they need it.

Increase agility

React faster to market dynamics, changing customer needs, and business priorities with complete, trusted data delivered in real time.

Evolve your data intelligence practices

Organizations with high levels of data intelligence outpace their competitors, adapting to changing market demands, optimizing resource allocation, and driving innovation.

Industry leaders fully understand the value of their data, managing it like any other critical corporate asset. Get the most value from Rocket Data Intelligence with this easy, three-step process:

  • Discover your data landscape: Conduct a system inventory to identify critical data, map dependencies, and use root cause analysis to address data discrepancies.
  • Plan around trusted data: Use impact analysis to prepare for updates and validate data integrity with lineage comparison, especially for large-scale projects like cloud migration.
  • Optimize your data footprint: Reduce data bloat, streamline ETL processes, remove low-quality data to improve efficiency, and adapt to continuous updates.
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A specialized insurance provider in France dramatically improves data governance

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Global Financial Services Firm improves data lineage management for compliance and data-driven business insights

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Resources

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