TY  - BOOK
AU  - Power,Daniel J.
AU  - Heavin,Ciara
TI  - Data-based decision making and digital transformation
T2  - Information systems collection,
SN  - 9781631576591
AV  - HD30.213 
PY  - 2018///.]
CY  - New York, New York (222 East 46th Street, New York, NY 10017)
PB  - Business Expert Press
KW  - Decision support systems
KW  - Decision making
KW  - Computer programs
KW  - Database management
KW  - analytics
KW  - artificial intelligence
KW  - big data
KW  - business intelligence
KW  - competitive advantage
KW  - data
KW  - data storytelling
KW  - data-based decision making
KW  - decision making
KW  - decision support
KW  - decision support systems
KW  - digital transformation
KW  - IoT
KW  - machine learning
KW  - managers
KW  - visualization
KW  - [genre]
N1  - Includes bibliographical references (pages 81-89) and index; 1. Introduction and overview --; 2. Decision making and digital transformation --; 3. Data-based decision making --; 4. Analytics and high-velocity decision making --; 5. Implementing digital transformation --; 6. Finding a way forward --; Glossary --; Bibliography --; Index; Access restricted to authorized users and institutions; 2; b; Also available in printing
N2  - Many organizations must adapt to survive digital disruption. One approach is digital transformation. The quest for transformation is a journey and the destination is not fixed. Rather senior managers must envision a data-centric organization and encourage data-based decision-making processes. Data-based decision making is an ongoing process of collecting and analyzing different types of data from diverse sources. Building better decision support and using analytics is an enabler of more effective decision making and digital transformation. Digital transformation changes people's behavior, organizational processes, and technologies to enhance performance and better meet customer needs. Using data becomes part of an organization's culture and managers learn to use data and analytics appropriately for each decision situation. Analytics and decision support become pervasive and enhance data-based decision making. Digital disruption is like a tidal wave. Managers must learn to act quickly using data. To succeed in the long-run, managers must ensure that data is used ethically. Both data visualization and data story telling can assist managers in directing the digital journey. Algorithms, Artificial Intelligence, and Machine Learning are tools to make processes faster and smarter. Middle managers using data-based decision-making are the key to successfully implementing a digital vision
UR  - https://go.openathens.net/redirector/ciu.edu?url=https://portal.igpublish.com/iglibrary/search/BEPB0000756.html
ER  -