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DBTA Best Practices: Top 4 Data Challenges Addressed by Data Virtualization

Data is now BIG! Business users have access to an unprecedented volume of data that can potentially enable them to create new products and reach new customers and markets at unbelievable speeds. But ironically, the same data poses critical challenges that stop them from getting there. Data Virtualization helps companies to create a unified view of data and information by addressing 4 key challenges.

 1. “I cannot get to it” —No access to the wealth of information in disparate internal silos and new and unstructured sources like big data.

 2. “It’s not current” —Data delivered is not current, but a day or a week old.

 3. “I cannot understand it” —Semantic views of data are not available and it is in a format that is hard to use.

 4. “It’s taking too long” —Divergent priorities of IT and business lead to data requests taking weeks or months to clear and hamper many engagements.

 Learn how can you address these challenges throughout Data Virtualization on this whitepaper.

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