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” XML1 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.
%0 Conference Paper
%1 conf/ismis/MalufBAPG06
%A Maluf, David A.
%A Bell, David G.
%A Ashish, Naveen
%A Putz, Peter
%A Gawdiak, Yuri
%B ISMIS
%D 2006
%E Esposito, Floriana
%E Ras, Zbigniew W.
%E Malerba, Donato
%E Semeraro, Giovanni
%I Springer
%K research.bizInt.bi
%P 248-257
%T Business Intelligence in Large Organizations: Integrating Which Data?
%U http://springerlink.metapress.com/content/h75234r835l86h66/
%V 4203
%X 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” XML1 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.
%@ 3-540-45764-X
@inproceedings{conf/ismis/MalufBAPG06,
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” XML1 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.},
added-at = {2007-05-02T21:45:07.000+0200},
author = {Maluf, David A. and Bell, David G. and Ashish, Naveen and Putz, Peter and Gawdiak, Yuri},
biburl = {https://www.bibsonomy.org/bibtex/263f714b50f382d167cfa75d77cfdf5a2/msn},
booktitle = {ISMIS},
crossref = {conf/ismis/2006},
date = {2006-10-23},
description = {http://dblp.uni-trier.de/db/conf/ismis/ismis2006.html#MalufBAPG06},
editor = {Esposito, Floriana and Ras, Zbigniew W. and Malerba, Donato and Semeraro, Giovanni},
ee = {http://dx.doi.org/10.1007/11875604_28},
interhash = {62dd5c118929a62d5262f386c8521bf7},
intrahash = {63f714b50f382d167cfa75d77cfdf5a2},
isbn = {3-540-45764-X},
keywords = {research.bizInt.bi},
pages = {248-257},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2007-05-02T21:45:07.000+0200},
title = {Business Intelligence in Large Organizations: Integrating Which Data?},
url = {http://springerlink.metapress.com/content/h75234r835l86h66/},
volume = 4203,
year = 2006
}