Decision Intelligence Analytics and the Implementation of Strategic Business Management

P. Mary Jeyanthi, Tanupriya Choudhury, Dieu Hack-Polay, T P Singh, Sheikh Abujar (Herausgeber)

Buch | Hardcover

XIX, 226 Seiten

2021 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-030-82762-5 (ISBN)

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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.

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 Intelligence with 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 well as 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 ch

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.

Erscheinungsdatum	21.12.2021
Reihe/Serie	EAI/Springer Innovations in Communication and Computing
Zusatzinfo	XIX, 226 p. 66 illus., 56 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	529 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Nachrichtentechnik
Schlagworte	Artificial Intelligence • Business Intelligence • decision intelligence • Decision Making • predictive analytics • Strategic Business Management
ISBN-10	3-030-82762-3 / 3030827623
ISBN-13	978-3-030-82762-5 / 9783030827625
Zustand	Neuware