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Analytics Best Practices: A Business-driven Playbook for Creating Value through Data Analytics, Prashanth Southekal


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Автор: Prashanth Southekal
Название:  Analytics Best Practices: A Business-driven Playbook for Creating Value through Data Analytics
ISBN: 9781634628273
Издательство: Gazelle Book Services
Классификация:

ISBN-10: 1634628276
Обложка/Формат: Paperback
Страницы: 208
Вес: 0.40 кг.
Дата издания: 01.05.2020
Язык: English
Размер: 23.50 x 19.10 x 1.12 cm
Читательская аудитория: General (us: trade)
Ключевые слова: Data mining,Data warehousing
Подзаголовок: A business-driven playbook for creating value through data analytics
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Поставляется из: Англии
Описание: Deliver enterprise data analytics success by following Prashanths prescriptive and practical techniques. Today, organizations across the globe are looking at ways to glean insights from data analytics and make good business decisions. However, not many business enterprises are successful in data analytics. According to Gartner, 80% of analytics programs do not deliver business outcomes. Mckinsey consulting says, less than 20% of the companies have achieved analytics at scale. So, how can a business enterprise avoid analytics failure and deliver business results? This book provides ten key analytics best practices that will improve the odds of delivering enterprise data analytics solutions successfully. It is intended for anyone who has a stake and interest in deriving insights from data analytics. The three key differentiating aspects of this book are: Practicality. This book offers prescriptive, superior, and practical guidance. Completeness. This book looks at data analytics holistically across the four key data analytics domains - data management, data engineering, data science, and data visualization. Neutrality. This book is technologically agnostic and looks at analytics concepts without any reference to commercial analytics products and technologies.


The Data and Analytics Playbook

Автор: Lowell Fryman
Название: The Data and Analytics Playbook
ISBN: 0128023074 ISBN-13(EAN): 9780128023075
Издательство: Elsevier Science
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Цена: 7409.00 р.
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Описание:

The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration.

The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it.

In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization.

Shale Analytics: Data-Driven Analytics in Unconventional Resources

Автор: Mohaghegh Shahab D.
Название: Shale Analytics: Data-Driven Analytics in Unconventional Resources
ISBN: 3319840088 ISBN-13(EAN): 9783319840086
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
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Цена: 17741.00 р.
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Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, Hdinsight, and Spark

Автор: Tejada Zoiner
Название: Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, Hdinsight, and Spark
ISBN: 1491956658 ISBN-13(EAN): 9781491956656
Издательство: Wiley
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Цена: 5701.00 р.
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Описание: This practical book helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data analytics solution.

Learning Analytics Cookbook: How to Support Learning Processes Through Data Analytics and Visualization

Автор: Jaakonmдki Roope, Vom Brocke Jan, Dietze Stefan
Название: Learning Analytics Cookbook: How to Support Learning Processes Through Data Analytics and Visualization
ISBN: 3030433765 ISBN-13(EAN): 9783030433765
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels.

Growing Business Intelligence: An Agile Approach to Leveraging Data and Analytics for Maximum Business Value

Автор: Burns Larry
Название: Growing Business Intelligence: An Agile Approach to Leveraging Data and Analytics for Maximum Business Value
ISBN: 1634621476 ISBN-13(EAN): 9781634621472
Издательство: Gazelle Book Services
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Цена: 9865.00 р.
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Описание:

Learn how to make business intelligence (BI) successful in your organization.

How do we enable our organizations to enjoy the often significant benefits of BI and analytics, while at the same time minimizing the cost and risk of failure? In this book, I am not going to try to be prescriptive; I won't tell you exactly how to build your BI environment. Instead, I am going to focus on a few core principles that will enable you to navigate the rocky shoals of BI architecture and arrive at a destination best suited for your particular organization. Some of these core principles include:

  • Have an overarching strategy, plan, and roadmap
  • Recognize and leverage your existing technology investments
  • Support both data discovery and data reuse
  • Keep data in motion, not at rest
  • Separate information delivery from data storage
  • Emphasize data transparency over data quality
  • Take an agile approach to BI development.

This book will show you how to successfully navigate both the jungle of BI technology and the minefield of human nature. It will show you how to create a BI architecture and strategy that addresses the needs of all organizational stakeholders. It will show you how to maximize the value of your BI investments. It will show you how to manage the risk of disruptive technology. And it will show you how to use agile methodologies to deliver on the promise of BI and analytics quickly, succinctly, and iteratively.

This book is about many things. But principally, it's about success. The goal of any enterprise initiative is to succeed and to derive benefit--benefit that all stakeholders can share in. I want you to be successful. I want your organization to be successful. This book will show you how.

This book is for anyone who is currently or will someday be working on a BI, analytics, or Big Data project, and for organizations that want to get the maximum amount of value from both their data and their BI technology investment. This includes all stakeholders in the BI effort--not just the data people or the IT people, but also the business stakeholders who have the responsibility for the definition and use of data. There are six sections to this book:

  • In Section I, What Kind of Garden Do You Want?, we will examine the benefits and risks of Business Intelligence, making the central point that BI is a business (not IT) process designed to manage data assets in pursuit of enterprise goals. We will show how data, when properly managed and used, can be a key enabler of several types of core business processes. The purpose of this section is to help you define the particular benefit(s) you want from BI.
  • In Section II, Building the Bones, we will talk about how to design and build out the "hardscape" (infrastructure) of your BI environment. This stage of the process involves leveraging existing technology investments and iteratively moving toward your desired target state BI architecture.
  • In Section III, From the Ground Up, we explore the more detailed aspects of implementing your BI operational environment.
  • In Section IV, Weeds, Pests and Critters, we talk about the myriad of things that can go wrong on a BI project, and discuss ways of mitigating these risks.
  • In Section V, The Sustainable Garden, we talk about how to create a BI infrastructure that is easy and inexpensive to maintain.
  • Finally, Section VI presents a case study illustrating the principles of this book, as applied to a fictional manufacturing company (the Blue Moon Guitar Company).

Data Analytics Applications in Gaming and Entertainment

Автор: Gunter Wallner
Название: Data Analytics Applications in Gaming and Entertainment
ISBN: 1138104434 ISBN-13(EAN): 9781138104433
Издательство: Taylor&Francis
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Цена: 16078.00 р.
Наличие на складе: Поставка под заказ.

Описание: Over the last decade big data and data mining has received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation.

Big Data Analytics with R

Автор: Simon Walkowiak
Название: Big Data Analytics with R
ISBN: 1786466457 ISBN-13(EAN): 9781786466457
Издательство: Неизвестно
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Цена: 11217.00 р.
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Описание: Utilize R to uncover hidden patterns in your Big Data About This Book Perform computational analyses on Big Data to generate meaningful results Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases, Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market Who This Book Is For This book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows. It is assumed that readers have some experience in data analysis and understanding of data management and algorithmic processing of large quantities of data, however they may lack specific skills related to R. What You Will Learn Learn about current state of Big Data processing using R programming language and its powerful statistical capabilities Deploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usage Explore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platform In Detail Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing. The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O. Style and approach This book will serve as a practical guide to tackling Big Data problems using R programming language and its statistical environment. Each section of the book will present you with concise and easy-to-follow steps on how to process, transform and analyse large data sets."

Data Analytics for Businesses 2019: Master Data Science with Optimised Marketing Strategies using Data Mining Algorithms (Artificial Intelligence, Mac

Автор: Adams Riley
Название: Data Analytics for Businesses 2019: Master Data Science with Optimised Marketing Strategies using Data Mining Algorithms (Artificial Intelligence, Mac
ISBN: 1999177053 ISBN-13(EAN): 9781999177058
Издательство: Неизвестно
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Цена: 3677.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Are you looking for new ways to grow your business, with resources you already have? Do you want to know how the big players like Netflix, Amazon, or Shopify use data analytics to MULTIPLY their growth? Keep listening to learn how to use data analytics to maximise YOUR business.

Yes, you have customers that love your product. However, you're having trouble finding new customers and captivating their attention. You realized you're also losing customers, and you have no clue what you can do to prevent this from happening. How do I stand out in a crowd of businesses? How do I target my perfect client and make them choose ME? If this sounds like you, Data Analytics for Businesses if the guide you need.

This book will walk you through the fundamental principles of data science and how to apply the "data analytic mindset" when approaching your business. You will learn how to extract valuable insights from data sources you ALREADY HAVE, and make informed business decisions to help you achieve your goals.

With real-world examples of how to apply data analytics to your business, this book does what others fail to do. Break the process down step by step, so you can optimize unique parts of your business; such as improving customer loyalty or reducing churn. This guide also helps you understand the many data-mining techniques in use today.

Discover the value of applied data science for business decision-making. You'll learn how to think data-analytically, and make connections between data sources to unveil insights you've never imagined. In this book you will learn:

✔︎ Why every company should be leveraging Data Analytics
✔︎ The difference between Big Data, Data Science and Data Analytics.
✔︎ How to achieve your goals by applying data-analytical thinking to your business
✔︎ The recommended data mining techniques for each of your business goals.
✔︎ The most important thing to remember when extracting knowledge from your data.
✔︎ How to use data analytics to improve brand loyalty and customer experience.
✔︎ How to hire the best data scientist, and more.

If you are overwhelmed by this whole new topic of data analytics, don't be. This guide is designed for beginners, with all the guidance you need to understand the fundamentals of harnessing data analytics for your business. So even if you have never heard about data analytics until today, I promise we will walk through this step- by-step.

By the end of this, you'll be able to think analytically and make informed business decisions. This book illustrates how EASY it is to find success by just applying a few principles.

So stop reading this description, and start reading Data Analytics for Businesses instead. Scroll up, and CLICK BUY now

Business Analytics

Автор: Vidgen Richard
Название: Business Analytics
ISBN: 1352007258 ISBN-13(EAN): 9781352007251
Издательство: Springer
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Цена: 7406.00 р.
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Описание: This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.

With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Style and Statistics: The Art of Retail Analytics

Автор: Bullard Brittany
Название: Style and Statistics: The Art of Retail Analytics
ISBN: 1119270316 ISBN-13(EAN): 9781119270317
Издательство: Wiley
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Цена: 6018.00 р.
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Описание: A non-technical guide to leveraging retail analytics for personal and competitive advantage Style & Statistics is a real-world guide to analytics in retail.

Social Media Data Mining and Analytics

Автор: Szabo Gabor, Boykin Oscar
Название: Social Media Data Mining and Analytics
ISBN: 1118824857 ISBN-13(EAN): 9781118824856
Издательство: Wiley
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Цена: 5542.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Written by Dr.


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