Data Driven Decision Making For Long Term Business Success
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| Author | : Singh, Sonia |
| Publisher | : IGI Global |
| Total Pages | : 515 |
| Release | : 2023-12-21 |
| Genre | : Business & Economics |
| ISBN | : |
In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.
| Author | : Thomas C. Redman |
| Publisher | : Harvard Business Press |
| Total Pages | : 273 |
| Release | : 2008-09-22 |
| Genre | : Business & Economics |
| ISBN | : 1422163644 |
Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.
| Author | : Harvard Business Review |
| Publisher | : Harvard Business Press |
| Total Pages | : 169 |
| Release | : 2018-03-13 |
| Genre | : Business & Economics |
| ISBN | : 1633694291 |
Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others. You'll learn how to: Identify the metrics you need to measure Run experiments and A/B tests Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes
| Author | : Ellen B. Mandinach |
| Publisher | : Corwin Press |
| Total Pages | : 281 |
| Release | : 2012-04-10 |
| Genre | : Business & Economics |
| ISBN | : 1412982049 |
"Gathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text's integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: assessment; statistics; instructional and differentiated psychology; classroom management."--Publisher's description.
| Author | : Jerry Z. Muller |
| Publisher | : Princeton University Press |
| Total Pages | : 245 |
| Release | : 2019-04-30 |
| Genre | : Business & Economics |
| ISBN | : 0691191263 |
How the obsession with quantifying human performance threatens business, medicine, education, government—and the quality of our lives Today, organizations of all kinds are ruled by the belief that the path to success is quantifying human performance, publicizing the results, and dividing up the rewards based on the numbers. But in our zeal to instill the evaluation process with scientific rigor, we've gone from measuring performance to fixating on measuring itself—and this tyranny of metrics now threatens the quality of our organizations and lives. In this brief, accessible, and powerful book, Jerry Muller uncovers the damage metrics are causing and shows how we can begin to fix the problem. Filled with examples from business, medicine, education, government, and other fields, the book explains why paying for measured performance doesn't work, why surgical scorecards may increase deaths, and much more. But Muller also shows that, when used as a complement to judgment based on personal experience, metrics can be beneficial, and he includes an invaluable checklist of when and how to use them. The result is an essential corrective to a harmful trend that increasingly affects us all.
| Author | : Marcia W. Blenko |
| Publisher | : Harvard Business Press |
| Total Pages | : 182 |
| Release | : 2010 |
| Genre | : Business & Economics |
| ISBN | : 1422147576 |
-Identify your critical decisions. Focus on those that matter most to your company's performance. --
| Author | : Thomas J. Peters |
| Publisher | : Harper Collins |
| Total Pages | : 404 |
| Release | : 2012-11-27 |
| Genre | : Business & Economics |
| ISBN | : 0062263617 |
The "Greatest Business Book of All Time" (Bloomsbury UK), In Search of Excellence has long been a must-have for the boardroom, business school, and bedside table. Based on a study of forty-three of America's best-run companies from a diverse array of business sectors, In Search of Excellence describes eight basic principles of management -- action-stimulating, people-oriented, profit-maximizing practices -- that made these organizations successful. Joining the HarperBusiness Essentials series, this phenomenal bestseller features a new Authors' Note, and reintroduces these vital principles in an accessible and practical way for today's management reader.
| Author | : Foster Provost |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 506 |
| Release | : 2013-07-27 |
| Genre | : Computers |
| ISBN | : 144937428X |
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
| Author | : Simone Gressel |
| Publisher | : SAGE |
| Total Pages | : 354 |
| Release | : 2020-10-12 |
| Genre | : Business & Economics |
| ISBN | : 1529738288 |
Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.
| Author | : Eric J. Bolland |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 311 |
| Release | : 2018 |
| Genre | : Business enterprises |
| ISBN | : 1786430169 |
This breakthrough study examines how business decisions explain successful and unsuccessful performance. Real world and academic research is evaluated, including interviews and cases studies, to create a model of how decisions and performance are connected for businesses of all sizes. Recommendations are made to optimize decision making and projections about the future of decision making and performance are provided.
