The Analytics Process
Strategic and Tactical Steps
1st Edition
Published on 3. February 2017
Book
Hardback
256 pages
978-1-4987-8464-1 (ISBN)
Description
This book is about the process of using analytics and the capabilities of analytics in today's organizations. Cutting through the buzz surrounding the term analytics and the overloaded expectations about using analytics, the book demystifies analytics with an in-depth examination of concepts grounded in operations research and management science.
Analytics as a set of tools and processes is only as effective as:
The data with which it is working
The human judgment applying the processes and understanding the output of these processes.
For this reason, the book focuses on the analytics process. What is intrinsic to analytics' real organizational impact are the careful application of tools and the thoughtful application of their outcomes. This work emphasizes analytics as part of a process that supports decision-making within organizations. It wants to debunk overblown expectations that somehow analytics outputs or analytics as applied to other concepts, such as Big Data, are the be-all and end-all of the analytics process. They are, instead, only a step within a holistic and critical approach to management thinking that can create real value for an organization.
To develop this holistic approach, the book is divided into two sections that examine concepts and applications. The ?rst section makes the case for executive management taking a holistic approach to analytics. It draws on rich research in operations and management science that form the context in which analytics tools are to be applied. There is a strong emphasis on knowledge management concepts and techniques, as well as risk management concepts and techniques. The second section focuses on both the use of the analytics process and organizational issues that are required to make the analytics process relevant and impactful.
Analytics as a set of tools and processes is only as effective as:
The data with which it is working
The human judgment applying the processes and understanding the output of these processes.
For this reason, the book focuses on the analytics process. What is intrinsic to analytics' real organizational impact are the careful application of tools and the thoughtful application of their outcomes. This work emphasizes analytics as part of a process that supports decision-making within organizations. It wants to debunk overblown expectations that somehow analytics outputs or analytics as applied to other concepts, such as Big Data, are the be-all and end-all of the analytics process. They are, instead, only a step within a holistic and critical approach to management thinking that can create real value for an organization.
To develop this holistic approach, the book is divided into two sections that examine concepts and applications. The ?rst section makes the case for executive management taking a holistic approach to analytics. It draws on rich research in operations and management science that form the context in which analytics tools are to be applied. There is a strong emphasis on knowledge management concepts and techniques, as well as risk management concepts and techniques. The second section focuses on both the use of the analytics process and organizational issues that are required to make the analytics process relevant and impactful.
More details
Language
English
Place of publication
Oxford
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Illustrations
15 s/w Abbildungen, 10 farbige Abbildungen
10 Illustrations, color; 15 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 19 mm
Weight
575 gr
ISBN-13
978-1-4987-8464-1 (9781498784641)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
06/2021
1st Edition
Auerbach
€72.60
Shipment within 10-20 days
E-Book
02/2017
Auerbach
€65.99
Available for download
E-Book
02/2017
Auerbach
€65.99
Available for download
Person
Dr. Eduardo Rodriguez is the Sentry Endowed Chair on Business Analytics University of Wisconsin-Stevens Point, Analytics Adjunct Professor at Telfer School of Management at Ottawa University, Corporate Faculty of the MSc in Analytics at Harrisburg University of Science and Technology Pennsylvania USA, Senior Associate-Faculty of the Center for Dynamic Leadership Models in Global Business at The Leadership Alliance Inc. Toronto Canada, and Principal at IQAnalytics Inc. Research Centre and Consulting Firm in Ottawa Canada. He has extensive experience in analytics, knowledge and risk management mainly in the insurance and banking industry. He has been Visiting Scholar Chongqing University China, Strategic Risk Instructor SAS Institute, and EAFIT University Master of Risk Management.
Dr. Rodriguez has been Knowledge Management Advisor and Quantitative Analyst at EDC Export Development Canada in Ottawa, Regional Director of PRMIA (Professional Risk Managers International Association) in Ottawa, Vice-President Marketing and Planning for Insurance Companies and Banks in Colombia, professor at Andes University and CESA in Colombia, author of six books in analytics, reviewer of several journals and with publications in peer-reviewed journals and conferences. Currently, he is the Chair of the permanent Think-Tank in Analytics in Ottawa, Chair of the International Conference in Analytics ICAS, member of academic committees for conferences in Knowledge Management and international lecturer in the analytics field.
He holds a PhD from Aston Business School, Aston University in the UK, a MSc. Mathematics Concordia University Montreal Canada, Certification of the Advanced Management Program McGill University Canada, and an MBA and Bachelor in Mathematics from Los Andes University Colombia. His main research interest is in the field of Analytics and Knowledge Management applied to Enterprise Risk Management.
Dr. Rodriguez has been Knowledge Management Advisor and Quantitative Analyst at EDC Export Development Canada in Ottawa, Regional Director of PRMIA (Professional Risk Managers International Association) in Ottawa, Vice-President Marketing and Planning for Insurance Companies and Banks in Colombia, professor at Andes University and CESA in Colombia, author of six books in analytics, reviewer of several journals and with publications in peer-reviewed journals and conferences. Currently, he is the Chair of the permanent Think-Tank in Analytics in Ottawa, Chair of the International Conference in Analytics ICAS, member of academic committees for conferences in Knowledge Management and international lecturer in the analytics field.
He holds a PhD from Aston Business School, Aston University in the UK, a MSc. Mathematics Concordia University Montreal Canada, Certification of the Advanced Management Program McGill University Canada, and an MBA and Bachelor in Mathematics from Los Andes University Colombia. His main research interest is in the field of Analytics and Knowledge Management applied to Enterprise Risk Management.
Content
SECTION I. ANALYTICS PROCESS CONCEPTS. About the Analytics Process. Illustrating the Analytics Process through Risk Assessment. and Modeling. Analytics, Strategy, and Management Control Systems. SECTION II. ANALYTICS PROCESS APPLICATIONS. Data, Information, and Intelligence. The Rise of Big Data and Analytics in Higher Education. Google Analytics as a Prosumption Tool for Web Analytics. Knowledge-Based Cause-Effect Analysis Enriched by Generating Multilayered DSS Models. Online Community Projects in Lithuania: Cyber Security Perspective. Exploring Analytics in Health Information Delivery to Acute Health Care in Australia. Information Visualization and Knowledge Reconstruction of RFID Technology Translation in Australian Hospitals. Health Care Analytics and Big Data Management in Influenza Vaccination Programs: Use of Information-Entropy Approach. Sharing Knowledge or Just Sharing Data? Index.