| Aligning Business Strategies and Analytics: Bridging Between Theory and Practice 2019 Edition Contributor(s): Anandarajan, Murugan (Editor), Harrison, Teresa D. (Editor) |
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ISBN: 3319932985 ISBN-13: 9783319932989 Publisher: Springer OUR PRICE: $123.49 Product Type: Hardcover Published: October 2018 |
| Additional Information |
| BISAC Categories: - Business & Economics | Industries - Computers & Information Technology - Computers | Enterprise Applications - Business Intelligence Tools - Business & Economics | Operations Research |
| Dewey: 658.403 |
| Series: Advances in Analytics and Data Science |
| Physical Information: 0.56" H x 6.14" W x 9.21" (1.11 lbs) 211 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This 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. |