Requirements for Predictive Analytics
Abstract
It is important to have a clear understanding of how traditional Business Intelligence (BI) and analytics are different and how they fit together in optimizing organizational decision making. With tradition BI, activities are focused primarily on providing context to enhance a known set of information through aggregation, data cleansing and delivery mechanisms. As these organizations mature their BI ecosystems, they achieve a clearer picture of the key performance indicators signaling the relative health of their operations. Organizations that embark on activities surrounding predictive analytics and data mining go beyond simply presenting the data in a manner that will allow decisions makers to have a complete context around the information. These organizations generate models based on known information and then apply other organizational data against these models to reveal unknown information.
- Authors:
- Publication Date:
- Research Org.:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- DOE - NE
- OSTI Identifier:
- 1060417
- Report Number(s):
- INL/JOU-11-24065
- DOE Contract Number:
- DE-AC07-05ID14517
- Resource Type:
- Journal Article
- Journal Name:
- Business Intelligence Journal
- Additional Journal Information:
- Journal Volume: 17; Journal Issue: 1
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; Analytics; Business Intelligence
Citation Formats
Hiltbrand, Troy. Requirements for Predictive Analytics. United States: N. p., 2012.
Web.
Hiltbrand, Troy. Requirements for Predictive Analytics. United States.
Hiltbrand, Troy. 2012.
"Requirements for Predictive Analytics". United States.
@article{osti_1060417,
title = {Requirements for Predictive Analytics},
author = {Hiltbrand, Troy},
abstractNote = {It is important to have a clear understanding of how traditional Business Intelligence (BI) and analytics are different and how they fit together in optimizing organizational decision making. With tradition BI, activities are focused primarily on providing context to enhance a known set of information through aggregation, data cleansing and delivery mechanisms. As these organizations mature their BI ecosystems, they achieve a clearer picture of the key performance indicators signaling the relative health of their operations. Organizations that embark on activities surrounding predictive analytics and data mining go beyond simply presenting the data in a manner that will allow decisions makers to have a complete context around the information. These organizations generate models based on known information and then apply other organizational data against these models to reveal unknown information.},
doi = {},
url = {https://www.osti.gov/biblio/1060417},
journal = {Business Intelligence Journal},
number = 1,
volume = 17,
place = {United States},
year = {Thu Mar 01 00:00:00 EST 2012},
month = {Thu Mar 01 00:00:00 EST 2012}
}