Decision Intelligence Analytics and the Implementation of Strategic Business Management
Published on 21. December 2022
Book
Paperback/Softback
XIX, 226 pages
978-3-030-82765-6 (ISBN)
Description
This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.
More details
Series
Edition
2022 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
56 farbige Abbildungen, 10 s/w Abbildungen
XIX, 226 p. 66 illus., 56 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
382 gr
ISBN-13
978-3-030-82765-6 (9783030827656)
DOI
10.1007/978-3-030-82763-2
Schweitzer Classification
Other editions
Additional editions
P. Mary Jeyanthi | Tanupriya Choudhury | Dieu Hack-Polay
Decision Intelligence Analytics and the Implementation of Strategic Business Management
Book
12/2021
Springer
€117.69
Shipment within 7-9 days
Persons
Dr. P. Mary Jeyanthi is an Associate Professor of Jaipuria Institute of Management, Jaipur, India. She had one decade of industry experience in HDFC Bank Ltd, Business Intelligence Unit, Chennai, Tamil Nadu. She had a hand full of expertise in Business Intelligence and forecasting analytics. She had done her research in "A New Implementation of Mathematical Models with metaheuristic Algorithms for Business Intelligence". Business Intelligence & Analytics initiatives on High Net Worth (HNW) Portfolio and She will be responsible for the creation and execution of strategies. She is also a visiting faculty of IMT Ghaziabad, Woxsen University, Hyderabad. Besides that, she had published a number of research papers in various national and international reputed journals. Conducted several workshops on Research Methodology and Business Intelligence. With 10+ years of experience in Information Technology professional in Banking Sector with extensive skills and experience in Business Intelligencewith Metaheuristics algorithm and Passion in teaching to enrich the environment with knowledge and Self-discipline. Being an Entrepreneur, intensive knowledge in the research field.She is the Resource Person by many colleges regarding soft skill training and workshops related to research paper writing. She had contributed many articles in magazines related the Building up the Human Capital and Business Analytics. She is expertise in the novelty approach of writing and managing the analytics with real-time scenarios. Her research interest in Business Intelligence and Analytics, Artificial Intelligence, Big data analytics, Management Information Systems, Data Analysis, and Business models.
Dr. Tanupriya Choudhury received his bachelor's degree in CSE from West Bengal University of Technology, Kolkata, India, and master's Degree in CSE from Dr. M.G.R University, Chennai, India.He has received his PhD degree in the year 2016. He has Twelve years experience in teaching as wellas in Research. Currently he is working as an Associate Professor in dept. of CSE at UPES Dehradun. Recently he has received Global Outreach Education Award for Excellence in best Young researcher Award in
GOECA 2018. His areas of interests include Human computing,Soft computing,Cloud computing,Data Mining etc.He has filed 14 patents till date and received 16 copyrights from MHRD for his own softwares.He has been associated with many conferences in India and abroad.He has authored more than 85 research papers till date.He has delivered invited talk and guest lecture in Jamia Millia Islamia University , Maharaja Agersen college of Delhi University , Duy Tan University Vietnam etc. He has been associated with many conferences throughout India as TPC member and session chair etc. He is a lifetime member of IETA, member of IEEE, and member of IET(UK) and other renowned technical societies. He is associated with Corporate and he is Technical Adviser of DeetyaSoft Pvt. Ltd. Noida , IVRGURU ,and Mydigital360 etc.He is holding the post of Secretary in IETA (Indian Engineering Teacher's Association-India), He is also holding the Advisor Position in INDO-UK Confederation of Science, Technology and Research Ltd.,London, UK and International Association of Professional and Fellow Engineers-Delaware-USA.
Dr. Dieu Hack-Polay is an associate Professor of Management at Crandall University (Canada) and an Associate Professor in Organizational Studies at Lincoln International Business School, University of Lincoln (UK). He has significant industry experience. His academic experience spans several years in various institutions and countries. Dr. Dieu Hack-Polay obtained the Doctor of Philosophy (PhD) in sociology at the University of Surrey and the Doctor of Education (EdD) in leadership and management at the University of Lincoln. His main research interest is in sociology and international human resource management. He has authored three books and several book chapters research articles in international journals. His latest publications examine the role of technology in environmental sustainability. His professional affiliations include chartered fellowship of the Chartered Institute of Personnel & Development (CIPD), fellowship of the Higher Education Academy (HEA) and fellowship of the Society for Education & Training (SET). He is also an active member of the British Sociological Association (BSA) and the Canadian Sociological Association (CSA).
Dr. Thipendra Pal Singh is currently positioned as Professor and Head of Department of Department at School of Computer Science, University of Petroleum & Energy Studies, Dehradun, UK. He holds Doctorate in Computer Science from Jamia Millia Islamia University, New Delhi. He carries 22 years of rich experience with him. He has been associated with Tata Group and Sharda University, Greater Noida, NCR, India. His research interests include machine intelligence, pattern recognition and development of hybrid intelligent systems. He has guided 15 Masters Theses. Currently 05 research scholars are working towards their Doctoral degree under him. There are more than dozens of publications to his credit in various national and international journals. Dr. Singh is a member of various professional bodies including IEEE, ISTE, IAENG etc. and also on the editorial/reviewer panel of different journals.
Sheikh Abujar is Lecturer in the Department of Computer Science and Engineering, Independent University, Bangladesh (IUB). Broadly, his methodological research focuses on Application of machine learning and Data mining. Sheikh Abujar currently works on different areas of Natural Language Processing and Adaptive algorithms. He has published his research works in several Scopus Indexed proceedings of IEEE, Springer and Elsevier, and he has served on several International conference and journals as a reviewer. Many of his and his students research work have won "Best Research Paper - Award" in many International Conferences. Prior to joining IUB, he was a faculty member at Daffodil International University (from : September 2017- January 2021) and at Britannia University (from: February 2015 to August 2017). During his career at DIU, he was Founder and Supervisor of the DIU - NLP and Machine Learning Research LAB.Content
Introduction.- Analytics & Predictive Analytics & Prescriptive Analytics.- Using Artificial Intelligence & Analytics for Better Decision-Making and Strategy Management.- Artificial Intelligence is being applied to create value across a range of domains.- Business Intelligence and Decision Making.- Amalgamation of business intelligence with corporate strategic management.- Enterprise decision management with Strategic focus.- The rise of decision intelligence: AI that optimizes decision-making.- Analytics for Strategic Management.- Analytics Concepts and Processes for Strategic Management.- Implementation of Decision Intelligence Analytics for Strategic Management.- Decision Intelligence Analytics for Competitive Advantage.- Business Lessons from the Sports Data Revolution.- Role of Decision Intelligence in Strategic Business Planning.- Decision Intelligence Analytics.- Conclusion.