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Business Intelligence in Large Organizations: Integrating Which Data?

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Foundations of Intelligent Systems (ISMIS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4203))

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Abstract

This paper describes a novel approach to business intelligence and program management for large technology enterprises like the U.S. National Aeronautics and Space Administration (NASA). Two key distinctions of the approach are that 1) standard business documents are the user interface, and 2) a “schema-less” XML database enables flexible integration of technology information for use by both humans and machines in a highly dynamic environment. The implementation utilizes patent-pending NASA software called the NASA Program Management Tool (PMT) and its underlying “schema-less” XML database called Netmark. Initial benefits of PMT include elimination of discrepancies between business documents that use the same information and “paperwork reduction” for program and project management in the form of reducing the effort required to understand standard reporting requirements and to comply with those reporting requirements. We project that the underlying approach to business intelligence will enable significant benefits in the timeliness, integrity and depth of business information available to decision makers on all organizational levels.

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References

  1. Maluf, D., Tran, P.: NETMARK: A Schema-less Extension for Relational Databases for Managing Semi-Structured Data Dynamically. In: Proceedings of the 14th International Symposium on Methodologies for Intelligent Systems, October 28-31, pp. 231–241 (2003)

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  2. Ashish, N., Bell, D., Knight, C., Maluf, D., Tran, P.: Semi-structured Data Management in the Enterprise: A Nimble, High-throughput and Scalable Approach. In: International Databases and Engineering Applications Symposium, Montreal (July 2005)

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  3. Halevy, A.Y., Ashish, N., Bitton, D., Carey, M.J., Draper, D., Pollock, J., Rosenthal, A., Sikka, V.: Enterprise information integration: successes, challenges and controversies. In: SIGMOD Conference 2005, pp. 778–787 (2005)

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© 2006 Springer-Verlag Berlin Heidelberg

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Maluf, D., Bell, D., Ashish, N., Putz, P., Gawdiak, Y. (2006). Business Intelligence in Large Organizations: Integrating Which Data?. In: Esposito, F., Raś, Z.W., Malerba, D., Semeraro, G. (eds) Foundations of Intelligent Systems. ISMIS 2006. Lecture Notes in Computer Science(), vol 4203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875604_28

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  • DOI: https://doi.org/10.1007/11875604_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45764-0

  • Online ISBN: 978-3-540-45766-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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