• ARE YOU
    ALSO IN NEED OF
    FASTER DATA?

    Being able to easily access and use vast data stores has always been challenging. Over the past decades, businesses have made huge, ongoing investments in information capture, storage and analysis. But in the past few years, the data problem has become 10 times worse. If it was only the amount of data, adding more compute horsepower would have fixed it.

    UNLOCK THE POTENTIAL OF MY DATA

WHERE DO YOU WANT TO START YOUR DATA VIRTUALIZATION JOURNEY?



The bigger issues for businesses are the proliferation of data silos along with the ever-expanding distribution complexity. In the past, humans entered most important business data and managed it in centralized data warehouses and transaction systems such as SAP. These were the traditional data sources for many large businesses.

Today, data is being moved to the cloud, forming even more data silos loaded with huge amounts of data. Salesforce and Workday applications, external data providers, and elastic storage and compute services such as Amazon Redshift and Microsoft Azure are a few examples. Multiple silos ultimately lead back to issues for the business. Its productive data resides in some – or all – of these places, in addition to disconnected desktop spreadsheets and people’s heads.

According to Gartner 90 percent of the information assets from big data analytic efforts will be siloed and unusable across multiple business processes. To win, businesses need to take advantage of all of their information. But how?










TYPICAL DATA VIRTUALIZATION CAPABILITIES

Access, integrate, and deliver up-to-the minute data with Data Virtualization. Query data from multiple sources as if it were in a single place. Fulfill business demand for an integrated enterprise, cloud, and big data far faster than traditional data warehousing, at a much lower cost. 
















Self-service access
to information
Data Abstraction
Data Integration
Query Optimization

Industry-leading businesses are addressing the challenge with data virtualization.

Data virtualization is an agile data integration approach that organizations use to:

  • Gain more insight from their data

  • Respond faster to accelerating analytics and business intelligence requirements
  • Reduce costs by 50 to 75 percent compared to data replication and consolidation approaches

Data virtualization abstracts data from multiple sources and transparently brings it together to give users a unified, friendly view of the data that they need. Armed with quick and easy access to critical data, users can analyze it with their favorite business intelligence and analytic tools to solve a wide range of problems. For example, they can increase customer profitability, bring products to market faster, reduce costs, and lower risk.



Who Needs  Data Virtualization?






  • Business leaders

    Data virtualization fosters better business outcomes from business data.

  • Information consumers

    Everyone – from spreadsheet users to scientists – has instant access to all the data they want, the way they want it.

  • Chief Data Officers (CDOs)
    and Enterprise Architects

    Data virtualization provides data integration flexibility to successfully evolve your data management strategy and architecture to take advantage of new business opportunities. business.

  • Chief Information Officers (CIOs)
    and Data Architects

    Data virtualization’s agile integration approach lets you respond faster to business needs for less.

  • Business Intelligence (BI)
    and Integration Competence Center (ICC) Managers

    Data virtualization is an easy, productive way to deliver greater business value sooner.


 







READY TO BEGIN
YOUR FAST DATA JOURNEY?
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