Data management: Shatter barriers to superior analysis & transformation

Make dealing with data easy to help more users reap the benefits of analytic tools and insights.

Data is the fuel of digital business and transformation. But access to data is one of the toughest barriers to data exploration and advanced analytics. Leading digital businesses make data and analytics pervasive throughout their organizations to create insights-driven cultures. Ensure your data is fast and easy to access, integrate, and deploy with data management solutions from TIBCO.

What is Data Management?

Data Management enables consistent accessibility, delivery, governance, and security of data to meet an organization’s requirements using tools including master data management, data virtualization, data catalog, and self-service data preparation and wrangling.


One trusted view of data

Solve evolving and complex data management problems by eliminating data silos. Achieve data governance and manage data quality to create a trusted, clean, reliable, complete, and up-to-date single source of information to support your journey to digital transformation and beyond.

One trusted view of data

Instant data access, improved business

Empower people with instant access to all the data they want, how and when they want it, so they can do analyses that improve the business. Make disparate big data, cloud, and IOT data sources easier to access and use. Govern data from source to consumer.

Instant data access, improved business

Speed, flexibility, scalability, success

Provide a new tool in the data integration toolbox for greater flexibility. Start quickly in support of urgent analytic data needs and projects, then build on success. Orchestrate data at scale in support of modern data services architectures such as logical data warehouse, data fabric, and systems of insight.

Breakthrough speed and cost savings

Respond faster to ever changing analytics requirements. Intelligently combine various sources of data 5–10x faster than traditional integration methods, according to customers. Reduce data complexity and save money without the cost and overhead complexity of physical data consolidation.

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