Data based decision making The Ultimate Step-By-Step Guide PDF Download

Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655364948
Category : Electronic books
Languages : en
Pages : 0

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Data based decision making The Ultimate Step-By-Step Guide.

Author: Parul Gandhi
Publisher: CRC Press
ISBN: 1000506436
Category : Computers
Languages : en
Pages : 151

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Book Description
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.

Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655314943
Category :
Languages : en
Pages : 272

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Book Description
Is the Data based decision making scope manageable? Does Data based decision making create potential expectations in other areas that need to be recognized and considered? What situation(s) led to this Data based decision making Self Assessment? What are your most important goals for the strategic Data based decision making objectives? How will variation in the actual durations of each activity be dealt with to ensure that the expected Data based decision making results are met? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Data based decision making investments work better. This Data based decision making All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Data based decision making Self-Assessment. Featuring 703 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data based decision making improvements can be made. In using the questions you will be better able to: - diagnose Data based decision making projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data based decision making and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data based decision making Scorecard, you will develop a clear picture of which Data based decision making areas need attention. Your purchase includes access details to the Data based decision making self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Author: Jenny Dearborn
Publisher: John Wiley & Sons
ISBN: 1119043352
Category : Business & Economics
Languages : en
Pages : 252

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Book Description
A "how-to" guide to boosting sales through predictive and prescriptive analytics Data Driven is a uniquely practical guide to increasing sales success, using the power of data analytics. Written by one of the world's leading authorities on the topic, this book shows you how to transform the corporate sales function by leveraging big data into better decision-making, more informed strategy, and increased effectiveness throughout the organization. Engaging and informative, this book tells the story of a newly hired sales chief under intense pressure to deliver higher performance from her team, and how data analytics becomes the ultimate driver behind the sales function turnaround. Each chapter features insightful commentary and practical notes on the points the story raises, and one entire chapter is devoted solely to laying out the Prescriptive Action Model step-by-step giving you the actionable guidance you need to put it into action in your own organization. Predictive and prescriptive analytics is poised to change corporate sales, and companies that fail to adapt to the new realities and adopt the new practices will be left behind. This book explains why the Prescriptive Action Model is the key corporate sales weapon of the 21st Century, and how you can implement this dynamic new resource to bring value to your business. Exploit one of the last remaining sources of competitive advantage Re-engineer the sales function to optimize success rates Implement a more effective analytics model to drive efficient change Boost operational effectiveness and decision making with big data There are fewer competitive edges to gain than ever before. The only thing that's left is to execute business with maximum efficiency and make the smartest business decisions possible. Predictive analytics is the essential method behind this new standard, and Data Driven is the practical guide to complete, efficient implementation.

Author: Sherese Bishop
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Author: Piyanka Jain
Publisher: Wiley
ISBN: 9781118793008
Category : Business & Economics
Languages : en
Pages : 240

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Book Description
How to develop and deploy a companywide analytics strategy This recipe-based handbook explains how to derive insights from data in day-to-day workflow and then how to drive business impact through those insights. Behind Every Good Decision helps readers use data to increase the top-line—revenue and customer adoption and satisfaction—and decrease the bottom-line—cost and loss—all to provide customers with an overall better experience. Using the trademarked BADIR 5-step process, author Piyanka Jain and Pureet Sharma provides examples and exercises from different industries and functions for readers to take away (i.e. how to evaluate marketing campaign effectiveness for a toy store) and apply to their own day-to-day workflow. Explains where analytics can be applied in day-to-day decisions and what type of insights and data you should be looking for Offers insights on how to apply the business analytics techniques described in the book to your daily workflow using the analysis tools you have on hand Describes the various data and analysis tools available in the market and which tools meets which needs Details best practices and hurdles for creating a data-driven organization With Behind Every Good Decision, you'll learn how to turn analytics into impact.

Author: Thelma I Hewitt
Publisher: Independently Published
ISBN:
Category : Business & Economics
Languages : en
Pages : 0

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Book Description
Are you tired of making decisions based on gut feelings and guesswork? Do you want to take your business to the next level by using data-driven insights? Look no further! "Analyzing Data and Making Informed Decisions: Using Metrics to Drive Success" is the ultimate guide that will revolutionize the way you make decisions and propel your business towards unprecedented success. In today's fast-paced and competitive world, making informed decisions is crucial for any business to thrive. Gone are the days of relying on intuition and assumptions. It's time to harness the power of data and metrics to gain a competitive edge. This book will equip you with the knowledge and tools to analyze data effectively and make informed decisions that will drive your business forward. Written by a team of industry experts, "Analyzing Data and Making Informed Decisions" is a comprehensive and practical guide that will demystify the world of data analysis. Whether you're a seasoned entrepreneur or just starting out, this book will provide you with the essential skills and techniques to unlock the true potential of your business. Inside this book, you will discover: 1. The importance of data-driven decision making: Learn why relying on data is crucial for success in today's business landscape. Understand how data can uncover hidden opportunities and mitigate risks. 2. Key metrics and analytics tools: Discover the most important metrics and analytics tools that will help you gain valuable insights into your business. From customer acquisition costs to conversion rates, you'll learn how to measure and track the metrics that matter. 3. Data visualization techniques: Learn how to present data in a visually appealing and easy-to-understand manner. Master the art of data visualization to effectively communicate your findings and make compelling arguments. 4. Case studies and real-world examples: Dive into real-life case studies and examples from various industries to see how data analysis has transformed businesses. Learn from the successes and failures of others to avoid common pitfalls and make better decisions. 5. Actionable strategies and tips: Get ready to implement what you've learned with actionable strategies and tips. From setting up data collection systems to conducting A/B tests, you'll have a step-by-step roadmap to follow. Reading "Analyzing Data and Making Informed Decisions" will not only empower you with the knowledge and skills to make data-driven decisions but also ignite a passion for the power of data. You'll feel a sense of excitement as you uncover hidden patterns and insights that will transform your business. Don't miss out on this opportunity to

Author: L. Y. Pratt
Publisher: "O'Reilly Media, Inc."
ISBN: 1098139615
Category : Business & Economics
Languages : en
Pages : 292

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Book Description
Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap. They present a step-by-step method for integrating technology into decisions that bridge from actions to desired outcomes, with a focus on systems that act in an advisory, human-in-the-loop capacity to decision makers. This handbook addresses three widespread data-driven decision-making problems: How can decision makers use data and technology to ensure desired outcomes? How can technology teams communicate effectively with decision makers to maximize the return on their data and technology investments? How can organizational decision makers assess and improve their decisions over time?

Author: Simone Gressel
Publisher: SAGE
ISBN: 1529738288
Category : Business & Economics
Languages : en
Pages : 354

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Book Description
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: Ellen B. Mandinach
Publisher: Corwin Press
ISBN: 1412982049
Category : Business & Economics
Languages : en
Pages : 281

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Book Description
"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.