In the data warehousing and analytics world, “times they are a changing”, to borrow a classic song title from Bob Dylan. Existing data warehouses are unable to cope with Big Data volumes, and lack the flexibility to serve as both a repository of record and a runtime engine.

To gauge how enterprise and public sector needs are evolving, Greenplum and BeyeNETWORK surveyed over 650 data warehouse and business intelligence practitioners from more than 300 enterprises and public sector organizations. A snapshot of the report’s key findings:

1. A single enterprise-wide data repository is not realistic for a majority of organizations.

2. Existing data warehouses are not keeping up with data growth for 60.1 percent of respondents.

3. For 53.7 percent of those surveyed, their data warehouses are not storing all the data that they and their teams need.

4. Poor data warehouse performance gets in the way of doing business for 54.5 percent of respondents.

5. For 59.5 percent, the existing data warehouse environment impedes their ability to discover, combine and analyze data in new and powerful ways.

Through years of deployments for more than 100 customers, Greenplum has found several key best practices, summarized as MAD Skills, referring to Magnetic, Agile and Deep:

-- Magnetic to incorporate disparate data sources into the data warehouse;

-- Agile to adapt to new and more powerful ways to discover, integrate and analyze data; and

-- Deep to scale down Big Data for actions by operational systems and more comprehensive insights for decision support.

To learn more, visit the MAD Skills page for the survey results and white paper: MAD Skills.