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Data Driven Decision Making using Analytics

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Release : 2021-12-16
Genre : Computers
Kind : eBook
Book Rating : 436/5 ( reviews)

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Book Synopsis Data Driven Decision Making using Analytics by : Parul Gandhi

Download or read book Data Driven Decision Making using Analytics written by Parul Gandhi. This book was released on 2021-12-16. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.

Data Driven

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Release : 2008-09-22
Genre : Business & Economics
Kind : eBook
Book Rating : 644/5 ( reviews)

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Book Synopsis Data Driven by : Thomas C. Redman

Download or read book Data Driven written by Thomas C. Redman. This book was released on 2008-09-22. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Management Decision-Making, Big Data and Analytics

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Release : 2020-10-12
Genre : Business & Economics
Kind : eBook
Book Rating : 288/5 ( reviews)

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Book Synopsis Management Decision-Making, Big Data and Analytics by : Simone Gressel

Download or read book Management Decision-Making, Big Data and Analytics written by Simone Gressel. This book was released on 2020-10-12. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Business Analytics, Volume I

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Release : 2018-08-23
Genre : Business & Economics
Kind : eBook
Book Rating : 322/5 ( reviews)

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Book Synopsis Business Analytics, Volume I by : Amar Sahay

Download or read book Business Analytics, Volume I written by Amar Sahay. This book was released on 2018-08-23. Available in PDF, EPUB and Kindle. Book excerpt: Business Analytics: A Data-Driven Decision Making Approach for Business-Part I,/i> provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making. The book discusses all these areas along with three main analytics categories: (1) descriptive, (2) predictive, and (3) prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance. The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics-numerical methods; Case analysis with computer applications.

Transforming Teaching and Learning Through Data-Driven Decision Making

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Release : 2012-04-10
Genre : Business & Economics
Kind : eBook
Book Rating : 049/5 ( reviews)

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Book Synopsis Transforming Teaching and Learning Through Data-Driven Decision Making by : Ellen B. Mandinach

Download or read book Transforming Teaching and Learning Through Data-Driven Decision Making written by Ellen B. Mandinach. This book was released on 2012-04-10. Available in PDF, EPUB and Kindle. Book excerpt: "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.

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