000			03043nam a22002417a 4500
005			20240207204607.0
008			240207b |||||||| |||| 00| 0 eng d
020			_a9783030066345
082			_a658.401 _bANA
245			_aAligning business strategies and analytics: _bbridging between theory and practice
260			_bSpringer _aCham _c2019
300			_axix, 211 p.
365			_aEURO _b119.99
490			_aAdvances in Analytics and Data Science (AADS, volume 1)
520			_aThis book examines issues related to the alignment of business strategies and analytics. Vast amounts of data are being generated, collected, stored, processed, analyzed, distributed and used at an ever-increasing rate by organizations. Simultaneously, managers must rapidly and thoroughly understand the factors driving their business. Business Analytics is an interactive process of analyzing and exploring enterprise data to find valuable insights that can be exploited for competitive advantage. However, to gain this advantage, organizations need to create a sophisticated analytical climate within which strategic decisions are made. As a result, there is a growing awareness that alignment among business strategies, business structures, and analytics are critical to effectively develop and deploy techniques to enhance an organization’s decision-making capability. In the past, the relevance and usefulness of academic research in the area of alignment is often questioned by practitioners, but this book seeks to bridge this gap. Aligning Business Strategies and Analytics: Bridging Between Theory and Practice is comprised of twelve chapters, divided into three sections. The book begins by introducing business analytics and the current gap between academic training and the needs within the business community. Chapters 2 - 5 examines how the use of cognitive computing improves financial advice, how technology is accelerating the growth of the financial advising industry, explores the application of advanced analytics to various facets of the industry and provides the context for analytics in practice. Chapters 6 - 9 offers real-world examples of how project management professionals tackle big-data challenges, explores the application of agile methodologies, discusses the operational benefits that can be gained by implementing real-time, and a case study on human capital analytics. Chapters 10 - 11 reviews the opportunities and potential shortfall and highlights how new media marketing and analytics fostered new insights. Finally the book concludes with a look at how data and analytics are playing a revolutionary role in strategy development in the chemical industry. (https://link.springer.com/book/10.1007/978-3-319-93299-6#about-this-book)
650			_aStrategic planning _913339
650			_aManagement information systems _913029
650			_aOperations research _915406
650			_aDecision making _912961
700			_aAnandarajan, Murugan _915407
700			_aHarrison, Teresa D. _915408
942			_cBK _2ddc
999			_c5814 _d5814