How the data factory framework goes beyond the use of ad hoc systems and isolated tools to create an automated, continuous data production system.
How this framework addresses the need for quality analytics.
How newer database technologies allow companies to apply the same data frameworks that have driven success for industry giants like Nielsen, IRI and Axciom at a fraction of the cost.
How a data factory approach can help companies get control of their data and return sanity and profitability back to the data-centric enterprise.
Data warehousing environments are frequently not connected to the people or processes that run day-to-day operations in the company or to partners in an increasingly connected world. When they are, the information is frequently not actionable, not timely enough, not delivered in a convenient manner or does not contain clear insights that improve decision making.
Data warehousing is disconnected from high performance business analytics and power users with analytic applications built on platforms that range from spreadsheets to SAS and SPSS.
Data warehouses environments have become fragmented, complex and difficult to manage under the stresses of business crises. This exacerbates the ability to meet the performance and timeliness needs in a world where data is growing rapidly and decisions need to be made more quickly.
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The Netezza Data Factory - The Need To Re-invent Data Warehousing