What does Integrated Data Management really mean?
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Integrated Data Management.
Organizations often have a myriad of tools from many vendors designed to increase productivity and effectiveness of the application development, data management, and administration staff. Most tools are built to purpose and put little emphasis on leveraging information gleaned from the others. We think that this lack of cohesion results in increased costs and increased risks. For example, how do you align an organization around compliance requirements? A security analyst needs to specify privacy requirements, a developer needs to analyze how they manipulate sensitive data in their application, a tester needs to fictionalize data for use outside production, a DBA needs to encrypt databases hosting sensitive data in production. Or in another example, how does the administration staff isolate problems across interacting components, associate problematic SQL with an issuing application, identify source application code or responsible developer?
To a large extent Integrated Data Management is about delivering capability to enable alignment, productivity and performance. It is about enabling alignment across the data lifecycle based on policies defined up front that are shared and enabled with downstream tasks. It is about improving not only individual productivity, but also organizational productivity supporting tasks across heterogeneous environments, increasing automation, and facilitating collaboration. And it is about optimizing performance and resource utilization embedding best practices and industry or application expertise into solutions. These capabilities are key enablers for accelerating business growth, reducing infrastructure costs, and enabling data governance. I’ve elaborated on our vision in Integrated Data Management: Managing data across its lifecycle on its third revision on developerWorks.
Our most recent announcement extends our support for Oracle environments. You can read about the new Optim Development Studio support for Oracle in Venkatesh’s blog entry. This complements the Oracle support already available for data design, test data management, and data archival capabilities. New portfolio integration points feature privacy management throughout the development cycle specifying privacy policies in InfoSphere Data Architect, visualizing sensitive data and actions against it in Optim Development Studio, generating test data definitions in either Data Architect or Development Studio for execution with Optim Test Data Management and Data Privacy solutions. I’m sure a blog entry is coming on this soon. And our new Optim Query Tuner takes best practices and delivers it as expert tuning advice to developers or DBAs for tuning queries.
I’d be interested in knowing if this vision for Integrated Data Management resonates with you and your organization. As you think about how your various roles have to interact, what linkages could we enable that would provide the most value to your organization?