Guaranteed Analytics

Author : Jim Rushton
Publisher : Lioncrest Publishing
Page : 256 pages
File Size : 53,9 Mb
Release : 2019-11-19
Category : Business & Economics
ISBN : 1544505485

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Guaranteed Analytics by Jim Rushton Pdf

Decision-makers can't get enough from data. The problem is, most leaders only use data to reaffirm the obvious information--and their companies are suffering because of it. Executives interested in getting to scalable, insight-driven business decisions are not sure where to start. Who should lead such a program? Will it be worth the effort? The good news is that, yes, underneath that surface-level data lies a treasure trove of useful information, and with the right approach you can get to it. With business analytics, you can have the competitive advantage you've been missing. In Guaranteed Analytics, Jim Rushton offers a prescriptive approach to implementing an analytics program that will help you move past the obvious about the "stars" and "dogs" of your business and dive into where the true money--and competitive advantage--lies. Jim delivers a prescriptive approach on the discipline of analytics for organizations and how it can be leveraged to monetize your data. This is a book about identifying the opportunity analytics present, building an insight-focused culture, and unlocking the stories behind the numbers. Guaranteed.

Author : Jim Rushston
Publisher : Unknown
Page : 0 pages
File Size : 42,7 Mb
Release : 2019-11-11
Category : Business
ISBN : 1544505493

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Guaranteed Analytics by Jim Rushston Pdf

Author : Wayne L. Winston
Publisher : John Wiley & Sons
Page : 727 pages
File Size : 49,9 Mb
Release : 2014-01-08
Category : Computers
ISBN : 9781118417300

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Marketing Analytics by Wayne L. Winston Pdf

Helping tech-savvy marketers and data analysts solve real-world business problems with Excel Using data-driven business analytics to understand customers and improve results is a great idea in theory, but in today's busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data. This expert book offers the perfect solution. Written by data analysis expert Wayne L. Winston, this practical resource shows you how to tap a simple and cost-effective tool, Microsoft Excel, to solve specific business problems using powerful analytic techniques—and achieve optimum results. Practical exercises in each chapter help you apply and reinforce techniques as you learn. Shows you how to perform sophisticated business analyses using the cost-effective and widely available Microsoft Excel instead of expensive, proprietary analytical tools Reveals how to target and retain profitable customers and avoid high-risk customers Helps you forecast sales and improve response rates for marketing campaigns Explores how to optimize price points for products and services, optimize store layouts, and improve online advertising Covers social media, viral marketing, and how to exploit both effectively Improve your marketing results with Microsoft Excel and the invaluable techniques and ideas in Marketing Analytics: Data-Driven Techniques with Microsoft Excel.

Author : Anindita Basak,Krishna Venkataraman,Ryan Murphy,Manpreet Singh
Publisher : Packt Publishing Ltd
Page : 314 pages
File Size : 40,8 Mb
Release : 2017-12-01
Category : Computers
ISBN : 9781788390620

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Stream Analytics with Microsoft Azure by Anindita Basak,Krishna Venkataraman,Ryan Murphy,Manpreet Singh Pdf

Develop and manage effective real-time streaming solutions by leveraging the power of Microsoft Azure About This Book Analyze your data from various sources using Microsoft Azure Stream Analytics Develop, manage and automate your stream analytics solution with Microsoft Azure A practical guide to real-time event processing and performing analytics on the cloud Who This Book Is For If you are looking for a resource that teaches you how to process continuous streams of data in real-time, this book is what you need. A basic understanding of the concepts in analytics is all you need to get started with this book What You Will Learn Perform real-time event processing with Azure Stream Analysis Incorporate the features of Big Data Lambda architecture pattern in real-time data processing Design a streaming pipeline for storage and batch analysis Implement data transformation and computation activities over stream of events Automate your streaming pipeline using Powershell and the .NET SDK Integrate your streaming pipeline with popular Machine Learning and Predictive Analytics modelling algorithms Monitor and troubleshoot your Azure Streaming jobs effectively In Detail Microsoft Azure is a very popular cloud computing service used by many organizations around the world. Its latest analytics offering, Stream Analytics, allows you to process and get actionable insights from different kinds of data in real-time. This book is your guide to understanding the basics of how Azure Stream Analytics works, and building your own analytics solution using its capabilities. You will start with understanding what Stream Analytics is, and why it is a popular choice for getting real-time insights from data. Then, you will be introduced to Azure Stream Analytics, and see how you can use the tools and functions in Azure to develop your own Streaming Analytics. Over the course of the book, you will be given comparative analytic guidance on using Azure Streaming with other Microsoft Data Platform resources such as Big Data Lambda Architecture integration for real time data analysis and differences of scenarios for architecture designing with Azure HDInsight Hadoop clusters with Storm or Stream Analytics. The book also shows you how you can manage, monitor, and scale your solution for optimal performance. By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution that can work with any type of data. Style and approach A comprehensive guidance on developing real-time event processing with Azure Stream Analysis

Author : Jeffrey D. Camm,James J. Cochran,Michael J. Fry,Jeffrey W. Ohlmann
Publisher : Cengage AU
Page : 882 pages
File Size : 43,8 Mb
Release : 2020-03-10
Category : Business & Economics
ISBN : 9780357131787

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Business Analytics by Jeffrey D. Camm,James J. Cochran,Michael J. Fry,Jeffrey W. Ohlmann Pdf

Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts.

Author : Riccardo Guidotti,Anna Monreale,Dino Pedreschi,Serge Abiteboul
Publisher : Springer
Page : 159 pages
File Size : 44,5 Mb
Release : 2017-12-04
Category : Computers
ISBN : 9783319719702

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Personal Analytics and Privacy. An Individual and Collective Perspective by Riccardo Guidotti,Anna Monreale,Dino Pedreschi,Serge Abiteboul Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Personal Analytics and Privacy, PAP 2017, held in Skopje, Macedonia, in September 2017. The 14 papers presented together with 2 invited talks in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as personal analytics, personal data mining and privacy in the context where real individual data are used for developing a data-driven service, for realizing a social study aimed at understanding nowadays society, and for publication purposes.

Author : Sanjay Madria,Philippe Fournier-Viger,Sanjay Chaudhary,P. Krishna Reddy
Publisher : Springer Nature
Page : 466 pages
File Size : 49,9 Mb
Release : 2019-12-12
Category : Computers
ISBN : 9783030371883

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Big Data Analytics by Sanjay Madria,Philippe Fournier-Viger,Sanjay Chaudhary,P. Krishna Reddy Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019. The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning.

Author : Song Guo,Zhihao Qu
Publisher : Cambridge University Press
Page : 231 pages
File Size : 49,9 Mb
Release : 2022-02-10
Category : Computers
ISBN : 9781108832373

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Edge Learning for Distributed Big Data Analytics by Song Guo,Zhihao Qu Pdf

Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.

Author : Alistair Croll,Benjamin Yoskovitz
Publisher : "O'Reilly Media, Inc."
Page : 403 pages
File Size : 53,9 Mb
Release : 2024-02-23
Category : Business & Economics
ISBN : 9781098168155

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Lean Analytics by Alistair Croll,Benjamin Yoskovitz Pdf

Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products

Author : Singh, Amandeep,Mittal, Amit,Unanoglu, Murat
Publisher : IGI Global
Page : 325 pages
File Size : 51,5 Mb
Release : 2023-03-07
Category : Business & Economics
ISBN : 9781668481790

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Enhancing Customer Engagement Through Location-Based Marketing by Singh, Amandeep,Mittal, Amit,Unanoglu, Murat Pdf

Proponents applaud location-based advertising as a way to bridge the gap between online and physical customer experiences and promote impulse purchases. Skeptics question whether location-based marketing (LBM) will cause consumer burn-out and violate consumer privacy if the data that is gathered through LBM is not used, shared, protected, and stored properly. Companies engaging in LBM should take measures to ensure customer privacy through stringent opt-in policies and security safeguards. Enhancing Customer Engagement Through Location-Based Marketing presents the main techniques of geo-marketing, introduces the idea of a "geo-marketing mix,” and develops the mobile marketing concept based on geolocation techniques. Covering key topics such as data management, augmented location, and mobile targeting, this premier reference source is ideal for business owners, entrepreneurs, managers, marketers, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.

Author : Namita Singh Malik,Elizaveta A Gromova,Smita Gupta,Balamurugan Balusamy
Publisher : CRC Press
Page : 245 pages
File Size : 40,6 Mb
Release : 2022-11-30
Category : Computers
ISBN : 9781000787092

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Legal Analytics by Namita Singh Malik,Elizaveta A Gromova,Smita Gupta,Balamurugan Balusamy Pdf

Legal Analytics: The Future of Analytics in Law navigates the crisscrossing of intelligent technology and the legal field in building up a new landscape of transformation. Legal automation navigation is multidimensional, wherein it intends to construct streamline communication, approval, and management of legal tasks. The evolving environment of technology has emphasized the need for better automation in the legal field from time to time, although legal scholars took long to embrace information revolution of the legal field. • Describes the historical development of law and automation. • Analyzes the challenges and opportunities in law and automation. • Studies the current research and development in the convergence of law, artificial intelligence, and legal analytics. • Explores the recent emerging trends and technologies that are used by various legal systems globally for crime prediction and prevention. • Examines the applicability of legal analytics in forensic investigation. • Investigates the impact of legal analytics tools and techniques in judicial decision making. • Analyzes deep learning techniques and their scope in accelerating legal analytics in developed and developing countries. • Provides an in-depth analysis of implementation, challenges, and issues in society related to legal analytics. This book is primarily aimed at graduates and postgraduates in law and technology, computer science, and information technology. Legal practitioners and academicians will also find this book helpful.

Author : Alexander Paprotny,Michael Thess
Publisher : Springer Science & Business Media
Page : 333 pages
File Size : 44,8 Mb
Release : 2013-12-03
Category : Computers
ISBN : 9783319013213

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Realtime Data Mining by Alexander Paprotny,Michael Thess Pdf

​​​​Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods. Furthermore, it presents promising results of numerous experiments on real-world data.​ The area of realtime data mining is currently developing at an exceptionally dynamic pace, and realtime data mining systems are the counterpart of today's “classic” data mining systems. Whereas the latter learn from historical data and then use it to deduce necessary actions, realtime analytics systems learn and act continuously and autonomously. In the vanguard of these new analytics systems are recommendation engines. They are principally found on the Internet, where all information is available in realtime and an immediate feedback is guaranteed. This monograph appeals to computer scientists and specialists in machine learning, especially from the area of recommender systems, because it conveys a new way of realtime thinking by considering recommendation tasks as control-theoretic problems. Realtime Data Mining: Self-Learning Techniques for Recommendation Engines will also interest application-oriented mathematicians because it consistently combines some of the most promising mathematical areas, namely control theory, multilevel approximation, and tensor factorization.

Author : Vijayan Sugumaran,A. G. Sreedevi,Zheng Xu
Publisher : Springer Nature
Page : 1075 pages
File Size : 50,8 Mb
Release : 2022-05-07
Category : Technology & Engineering
ISBN : 9783031052378

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Application of Intelligent Systems in Multi-modal Information Analytics by Vijayan Sugumaran,A. G. Sreedevi,Zheng Xu Pdf

This book provides comprehensive coverage of the latest advances and trends in information technology, science, and engineering. Specifically, it addresses a number of broad themes, including multimodal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multimodal application management; and web/social media mining for multimodal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers, and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.

Author : K. G. Srinivasa,Siddesh G. M.,Srinidhi H.
Publisher : Springer
Page : 398 pages
File Size : 45,9 Mb
Release : 2018-04-26
Category : Computers
ISBN : 9783319778006

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Network Data Analytics by K. G. Srinivasa,Siddesh G. M.,Srinidhi H. Pdf

In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the different types of analysis and the basics of using Hadoop as a tool, it focuses on different Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different graphs and charts. Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics.

Author : Andres Fortino
Publisher : Mercury Learning and Information
Page : 388 pages
File Size : 52,5 Mb
Release : 2023-01-30
Category : Computers
ISBN : 9781683926733

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Data Mining and Predictive Analytics for Business Decisions by Andres Fortino Pdf

With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Most of the exercises use R and Python, but rather than focus on coding algorithms, the book employs interactive interfaces to these tools to perform the analysis. Using the CRISP-DM data mining standard, the early chapters cover conducting the preparatory steps in data mining: translating business information needs into framed analytical questions and data preparation. The Jamovi and the JASP interfaces are used with R and the Orange3 data mining interface with Python. Where appropriate, Voyant and other open-source programs are used for text analytics. The techniques covered in this book range from basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics. Includes companion files with case study files, solution spreadsheets, data sets and charts, etc. from the book. FEATURES: Covers basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics Uses R, Python, Jamovi and JASP interfaces, and the Orange3 data mining interface Includes companion files with the case study files from the book, solution spreadsheets, data sets, etc.