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Author : Judith Skuce
Publisher :
ISBN 13 : 9780131976252
Total Pages : 473 pages
Book Rating : 4.9/5 (762 download)
Download or read book Analyzing Data and Making Decisions written by Judith Skuce and published by . This book was released on 2007-01 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Judith Skuce
Publisher :
ISBN 13 : 9780132459532
Total Pages : 602 pages
Book Rating : 4.4/5 (595 download)
Download or read book Analyzing Data and Making Decisions written by Judith Skuce and published by . This book was released on 2010-02 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Judith Skuce
Publisher :
ISBN 13 : 9780132068321
Total Pages : pages
Book Rating : 4.0/5 (683 download)
Download or read book Analyzing Data and Making Decisions Analyzing Data and Making Decisions written by Judith Skuce and published by . This book was released on 2007-07-13 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Susan J. Thomas
Publisher : Corwin Press
ISBN 13 : 0761938834
Total Pages : 217 pages
Book Rating : 4.7/5 (619 download)
Download or read book Using Web and Paper Questionnaires for Data-Based Decision Making written by Susan J. Thomas and published by Corwin Press. This book was released on 2004-03-06 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Excerpt: ...tribe. He had faculties. He had also various idiosyncrasies. He was undeniably the best hunter and trapper and trainer of dogs to sledge, as well as the most expert upon snowshoes of all the Indians living upon the point, and he was, furthermore, one of the dirtiest of them and the biggest drunkard whenever opportunity afforded. Fortunately for him and for his squaw, Bigbeam, as she had been facetiously named by an agent of the company, the opportunities for getting drunk were rare, for the company is conservative in the distribution of that which makes bad hunters. Given an abundance of firewater and tobacco, Red Dog was the happiest Indian between the northern boundary of the United States and Lake Gary; deprived of them both he hunted vigorously, thinking all the while of the coming hour when, after a long journey and much travail, he should be in what was his idea of heaven again. To-day, though, the rifle bought from the company stood idle beside the ridge-pole, the sledge dogs snarled and fought upon the snow outside, and Bigbeam, squat and broad as became her name, looked askance at her lord as she prepared the moose meat, uncertain of his temper, for his face was cloudy. Red Dog was, in fact, perplexed, and was planning deeply. Good reason was there for Red Dog's thought. Events of the immediate future were of moment to him and all his fellows, among whom, though no chief was formally acknowledged, he was recognized as leader; for had he not at one time been with the company as a hired hunter? Had he not once gone with a fur-carrying party even to Hudson's Bay, and thence to the far south and even to Quebec? And did he not know the ways of the company, and could not he talk a French patois which enabled him to be understood at the stations? Now, as fitting representative of himself and of his clan, a great responsibility had come upon him, and he was lost in as anxious thought as could come to a biped of his quality. Like a more or less...
Author : Thelma I Hewitt
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (834 download)
Download or read book Analyzing Data and Making Informed Decisions written by Thelma I Hewitt and published by Independently Published. This book was released on 2024-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Judith Skuce
Publisher : Pearson Education Canada
ISBN 13 : 0133085899
Total Pages : 643 pages
Book Rating : 4.1/5 (33 download)
Download or read book Analyzing Data and Making Decisions written by Judith Skuce and published by Pearson Education Canada. This book was released on 2012-06-27 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: Appropriate for one or two semester introductory Business Statistics courses. Judith Skuce offers an alternative to densely written and confusing Business Statistics texts. Business Stats is often challenging to teach and requires a resource that offers a clear and straightforward presentation of complex topics. The second edition of Analyzing Data and Making Decisions continues its student-friendly, straightforward tone and offers an “applications-first” approach. The text is now completely up to date with Excel 2010 instructions and examples. MyStatLab is not included with the purchase of this product.
Author : James Robert Evans
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 590 pages
Book Rating : 4.3/5 ( download)
Download or read book Statistics, Data Analysis, and Decision Modeling written by James Robert Evans and published by Prentice Hall. This book was released on 2007 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers basic concepts of business statistics, data analysis, and management science in a spreadsheet environment. Practical applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and production data already formatted on Excel worksheets. This shows how real data is used and decisions are made. Using Excel as the basic software, and including such add-ins as PHStat2, Crystal Ball, and TreePlan, this book covers a wide variety of topics related to business statistics: statistical thinking in business; displaying and summarizing data; random variables; sampling; regression analysis; forecasting; statistical quality control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization modeling; and solving and analyzing optimization models. For those employed in the fields of quality control, management science, operations management, statistical science, and those who need to interpret data to make informed business decisions.
Author : Paula Short
Publisher : Routledge
ISBN 13 : 1317920775
Total Pages : 101 pages
Book Rating : 4.3/5 (179 download)
Download or read book Information Collection written by Paula Short and published by Routledge. This book was released on 2013-10-18 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the various strategies and procedures for collecting, analyzing, and organizing information to improve education.
Author : S. Christian Albright
Publisher :
ISBN 13 : 9789814834391
Total Pages : 952 pages
Book Rating : 4.8/5 (343 download)
Download or read book Business Analytics written by S. Christian Albright and published by . This book was released on 2017 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : S. Christian Albright
Publisher :
ISBN 13 : 9781337559683
Total Pages : pages
Book Rating : 4.5/5 (596 download)
Download or read book Business Analytics written by S. Christian Albright and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Daniel J. Power
Publisher : Business Expert Press
ISBN 13 : 1631576593
Total Pages : 106 pages
Book Rating : 4.6/5 (315 download)
Download or read book Data-Based Decision Making and Digital Transformation written by Daniel J. Power and published by Business Expert Press. This book was released on 2018-05-31 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital disruption is accelerating. Implementing a successful digital transformation strategy requires that senior managers make trade-off decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use data and computer support in decision making, and increase their knowledge and skills. Creating a data-centric culture and rewarding data-based decision making leads to successful digital transformation. Join the digital journey. This book is targeted at managers, especially middle-level managers who are trying to come to grips with using data-based decision making in a transforming organization. The authors explore a number of broad questions including: How can managers become data-based decision makers? How can digital transformation become part of an organizational strategy? What new skills do managers need to implement digital transformation? How will we know an organization has been successfully transformed?
Author : Andres Fortino
Publisher : Mercury Learning and Information
ISBN 13 : 1683925912
Total Pages : 245 pages
Book Rating : 4.6/5 (839 download)
Download or read book Data Analysis for Business Decisions written by Andres Fortino and published by Mercury Learning and Information. This book was released on 2020-08-05 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel, today's most common analysis tool. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting. Advanced projects cover inferential statistics for continuous variables (t-Test) and categorical variables (chi-square), as well as A/B testing. The manual ends with techniques to deal with the analysis of text data and tools to manage the analysis of large data sets (Big Data) using Excel. Includes companion files with solution spreadsheets, sample files, data sets, etc. from the book. Features: Teaches the statistical analysis skills needed to support business decisions Provides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and analyzing big data sets Includes companion files with solution spreadsheets, sample files, data sets, etc. used in the book's case studies The companion files are available online by emailing the publisher with proof of purchase at [email protected].
Author : Dursun Delen
Publisher : Pearson Education
ISBN 13 : 0133551075
Total Pages : 289 pages
Book Rating : 4.1/5 (335 download)
Download or read book Real-world Data Mining written by Dursun Delen and published by Pearson Education. This book was released on 2015 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: As business becomes increasingly complex and global, decision-makers must act more rapidly and accurately, based on the best available evidence. Modern data mining and analytics is indispensable for doing this. Real-World Data Mining demystifies current best practices, showing how to use data mining and analytics to uncover hidden patterns and correlations, and leverage these to improve all business decision-making. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, Delen provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: data mining processes, methods, and techniques; the role and management of data; tools and metrics; text and web mining; sentiment analysis; and integration with cutting-edge Big Data approaches. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials.
Author : Charles Nehme
Publisher : Charles Nehme
ISBN 13 :
Total Pages : 48 pages
Book Rating : 4./5 ( download)
Download or read book Data Analysis written by Charles Nehme and published by Charles Nehme. This book was released on with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-evolving landscape of business, data analysis has emerged as a powerful tool for decision-making, innovation, and competitive advantage. This book delves into the intricacies of data analysis and its practical applications in the corporate realm. Embark on a journey through the world of data analysis, exploring its fundamental concepts, methodologies, and real-world applications. Unveiling the Power of Data Analysis In this comprehensive guide, we delve into the fundamental principles of data analysis, enabling you to harness the power of data to drive business success. We begin by defining data analysis and its multifaceted role in business operations. Next, we embark on a journey through the different types of data analysis, each serving a distinct purpose in uncovering valuable insights. Data Collection and Preparation: Laying the Foundation Effective data analysis hinges on the quality and integrity of the data being analyzed. This chapter delves into meticulous data collection practices, emphasizing the importance of identifying reliable sources, ensuring data quality, and transforming data into a usable format. Exploratory Data Analysis (EDA): Unveiling Hidden Patterns EDA serves as the cornerstone of data analysis, enabling us to explore and understand the underlying structure of data. This chapter introduces you to various EDA techniques, equipping you with the tools to identify trends, patterns, and relationships within data sets. Data Modeling: Unleashing the Predictive Power of Data Data modeling takes data analysis to the next level, enabling us to create predictive models that forecast future outcomes. This chapter explores a range of data modeling techniques, from descriptive statistics to machine learning algorithms, demonstrating how to harness the predictive power of data. Data Visualization: Communicating Insights Effectively Data visualization plays a crucial role in translating complex data into clear and compelling visualizations. This chapter introduces you to various data visualization charts and graphs, along with their applications in communicating insights effectively to stakeholders. Decision Making with Data: Empowering Informed Choices Data analysis is not merely about collecting and analyzing data; it's about transforming data into actionable insights that drive informed decision-making. This chapter explores the role of data in supporting decision-making processes, emphasizing the importance of integrating data analysis into the decision-making framework. Data Ethics and Privacy: Navigating the Ethical Landscape With the growing reliance on data, ethical considerations have become paramount. This chapter delves into the ethical principles governing data collection, storage, and use, ensuring responsible data analysis and compliance with data protection regulations. Data Governance and Management: Ensuring Data Quality and Compliance Data governance establishes a framework for managing data effectively, ensuring its quality, security, and compliance. This chapter explores data governance frameworks and principles, providing guidance on implementing data governance practices in businesses. Case Studies of Data Analysis in Business: Real-world Applications Data analysis has revolutionized various business functions, from marketing and sales to customer service and operations. This chapter showcases real-world case studies that demonstrate the impact of data analysis on businesses, illustrating how data can be used to create competitive advantages and drive innovation. The Future of Data Analysis: Embracing Emerging Trends The world of data analysis is constantly evolving, with emerging trends such as big data, artificial intelligence, and machine learning transforming the way businesses collect, analyze, and use data. This chapter explores these emerging trends, highlighting their potential to transform businesses and drive innovation in the future. Embrace the Data Revolution In conclusion, this comprehensive guide equips you with the knowledge and skills to harness the power of data analysis and empower your business to make informed decisions, drive innovation, and achieve sustainable growth. As the world becomes increasingly data-driven, data analysis has emerged as a critical skill for businesses of all sizes. Embrace the data revolution and unlock the transformative potential of data analysis for your organization.
Author : Stéphane Tufféry
Publisher : John Wiley & Sons
ISBN 13 : 0470979283
Total Pages : 748 pages
Book Rating : 4.4/5 (79 download)
Download or read book Data Mining and Statistics for Decision Making written by Stéphane Tufféry and published by John Wiley & Sons. This book was released on 2011-03-23 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features: Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques. Starts from basic principles up to advanced concepts. Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software. Gives practical tips for data mining implementation to solve real world problems. Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring. Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.
Author : Hemachandran K
Publisher : CRC Press
ISBN 13 : 1000615421
Total Pages : 191 pages
Book Rating : 4.0/5 (6 download)
Download or read book Machine Learning for Business Analytics written by Hemachandran K and published by CRC Press. This book was released on 2022-07-21 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning is an integral tool in a business analyst’s arsenal because the rate at which data is being generated from different sources is increasing and working on complex unstructured data is becoming inevitable. Data collection, data cleaning, and data mining are rapidly becoming more difficult to analyze than just importing information from a primary or secondary source. The machine learning model plays a crucial role in predicting the future performance and results of a company. In real-time, data collection and data wrangling are the important steps in deploying the models. Analytics is a tool for visualizing and steering data and statistics. Business analysts can work with different datasets -- choosing an appropriate machine learning model results in accurate analyzing, forecasting the future, and making informed decisions. The global machine learning market was valued at $1.58 billion in 2017 and is expected to reach $20.83 billion in 2024 -- growing at a CAGR of 44.06% between 2017 and 2024. The authors have compiled important knowledge on machine learning real-time applications in business analytics. This book enables readers to get broad knowledge in the field of machine learning models and to carry out their future research work. The future trends of machine learning for business analytics are explained with real case studies. Essentially, this book acts as a guide to all business analysts. The authors blend the basics of data analytics and machine learning and extend its application to business analytics. This book acts as a superb introduction and covers the applications and implications of machine learning. The authors provide first-hand experience of the applications of machine learning for business analytics in the section on real-time analysis. Case studies put the theory into practice so that you may receive hands-on experience with machine learning and data analytics. This book is a valuable source for practitioners, industrialists, technologists, and researchers.
Author : Ramakrishnan Ramanathan
Publisher : CRC Press
ISBN 13 : 1498753752
Total Pages : 370 pages
Book Rating : 4.4/5 (987 download)
Download or read book Big Data Analytics Using Multiple Criteria Decision-Making Models written by Ramakrishnan Ramanathan and published by CRC Press. This book was released on 2017-07-12 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.
