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Wednesday, 3 February 2010

IBM Manages the Data Lifecycle

Posted on 19:55 by Unknown
Data lifecycle is a somewhat new-ish term, at least in terms of what I plan to talk about in this blog posting. The data lifecycle – and data lifecycle management – deals with tracking, managing, and understanding data and metadata as it flows through organizations. From its inception…whether entered by a clerk or read via a feed or loaded from an external source, etc…through its various usages…whether to conduct business, analyze trends and patterns, and so on…tracked from system to system, application to application, and user to user…and finally through its end of life.

Not many companies today can track all of their important data and what happens to it throughout its entire lifecycle. But doing so is important. Having such a capability enables organizations to adapt and react, gaining a competitive advantage. Much can go awry as data moves throughout an organization. Schema changes, policy changes, regulations adapt, programs change, formats changes, and so on. Any of these things can cause data quality issues, which should be brought to the attention of the business analyst using the data. But how often is this done? Knowing the history of data and its related metadata can improve business processes. But it is a major task – both for businesses and IT vendors hoping to offer solutions.

Which brings me to today’s (February 3, 2010) announcements from IBM. Big Blue announced new data protection software, a line of consulting services and resources and previewed information monitoring software to help organizations expand their use of trusted information to improve decision making. These moves further bolster IBM’s already formidable arsenal of data lifecycle management solutions.

The data protection announcement was for Optim Data Redaction. This solution, engineered for unstructured data like Word documents and PDF files, automatically recognizes and removes sensitive content from documents and forms. For example, a customer’s credit scores in a loan document could be hidden from an office clerk, while still being visible to a loan officer. In today’s atmosphere of more and more stringent regulations, a data redaction solution is becoming a requirement. For example, PCI DSS industry standards dictate specific rules regarding the display of debit and credit card information on receipts and reports.

Optim Data Redaction is planned for general availability in March 2010.

The information monitoring announcement was for InfoSphere Business Monitor. This technology is based on a combination of work from IBM’s research group and technology gained when IBM acquired Guardium. Guardium is a database activity monitoring (or auditing) solution. InfoSphere Business Monitor tracks the quality and flow of an organization’s information and provides real-time alerts of potential flaws. For example, if a health insurance company was analyzing profit margins across different product lines (individual, group, HMO, Medicare, etc.), decision makers would immediately be alerted when a data feed from a specific geography was not successfully integrated.

InfoSphere Business Monitor is available as a technology preview; it is not generally available and no GA date was announced.

At the same time, IBM announced its intention to acquire Initiate Systems, a provider of data integrity software for information sharing among healthcare and government organizations. Initiate's software helps healthcare clients work more intelligently and efficiently with timely access to patient and clinical data. It also enables governments to share information across multiple agencies to better serve citizens. IBM plans to continue to support and enhance Initiate's technologies while helping clients take advantage of the broader IBM portfolio, specifically Cognos and InfoSphere solutions for BI and analytics. This acquisition bolsters IBM’s data lifecycle management offering along these verticals.

And all of today’s announcements serve to clarify IBM’s ascent to the throne within the realm of information and data lifecycle management.
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