Our ideas about smart data include three dimensions:

  1. Enterprise Performance Optimization Context
  2. Interoperability Technology
  3. Data-associated Methods and Algorithms

Both government and commercial enterprises generate massive volumes of data in their day-to-day operations, little of which is directly useful for nimble and wise management.

However, if these same organizations adopt the SOA paradigm in concert with smart data, they can enjoy benefits of procedure, standardization, visibility in decision-making, agile adaptation to change, interoperability of legacy systems, reduced costs through elimination of redundant services for redesign of existing business processes.

Corporations serving government customers must address unique customer needs, for which data is a core requirement. High visibility problems, such as the U.S. Air Force sending nuclear fuses instead of batteries to foreign government customers, very likely have data deficiencies at their root cause. These problems do not stem from a lack of data; they stem from a lack of actionable data. This fact remains in spite of years of advancement in the technology of data. The technology of data is not lacking. What is lacking is an emphasis on data as a corporate and enterprise resource.

Service-Oriented Enterprise is a paradigm in which data-focused strategy can flourish when accompanied by the SOA that has been implemented enterprise-wide. Although, the SOA can be implemented at the department ...

Get Smart Data: Enterprise Performance Optimization Strategy now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.