An Information Product Approach for Total Information Awareness

17 Pages Posted: 6 Feb 2003  

Richard Y. Wang

Massachusetts Institute of Technology (MIT)

Thomas J. Allen

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Wesley Harris

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Stuart Madnick

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Date Written: November 2002

Abstract

To fight terrorism successfully, the quality of data must be considered to avoid garbage-in-garbage-out. Research has shown that data quality (DQ) goes beyond accuracy to include dimensions such as believability, timeliness, and accessibility. In collecting, processing, and analyzing a much broader array of data than we do currently, therefore, a comprehensive approach must be developed to ensure that DQ is incorporated in determining the most probable current or future scenario for preemption, national security warning and decision making. Additional data such as who was the data source, when was the data made available, how, where, and why also need to be
included to judge the quality of the information assembled
from these data.

We propose such an approach for Total Information Awareness with Quality (TIAQ), which includes concepts, models, and tools. Central to our approach is to manage information as a product with four principles. We have applied the information product approach to research sites where opportunities arise. For example, the Air Force Material Command uses requirements definition and forecasting processes to perform a number of functions. However, the Air Force experienced several complex
problems due to DQ problems; as a result, fuel pumps were unavailable. Each engine needs a fuel pump; when a pump is not available, a military aircraft is grounded. We traced the fuel-pump throughout the process of remanufacture, and identified root causes such as delays by pump contractors and ordering problems. To a certain extent, detecting foreign terrorists and decipher their plots are analogous to tracing fuel pumps. Our research provides an interdisciplinary approach to facilitating Total Information Awareness.

Keywords: Total Information Awareness (TIA), Total Information Awareness with Quality (TIAQ), Data Quality (DQ), Information Product Map (IPMap), Quality Entity Relationship (QER)

Suggested Citation

Wang, Richard Y. and Allen, Thomas J. and Harris, Wesley and Madnick, Stuart, An Information Product Approach for Total Information Awareness (November 2002). MIT Sloan Working Paper No. 4407-02; CISL No. 2002-15. Available at SSRN: https://ssrn.com/abstract=376820 or http://dx.doi.org/10.2139/ssrn.376820

Richard Y. Wang

Massachusetts Institute of Technology (MIT) ( email )

E53-317
Cambridge, MA 02139
United States
617-253-0442 (Phone)
617-253-3321 (Fax)

Thomas J. Allen

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

E52-475
Cambridge, MA 02142
United States
617-253-6651 (Phone)
617-258-6617 (Fax)

Wesley Harris

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

77 Massachusetts Ave.
E62-416
Cambridge, MA 02142
United States

Stuart E. Madnick (Contact Author)

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

E53-321
Cambridge, MA 02142
United States
617-253-6671 (Phone)
617-253-3321 (Fax)

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