Data Analytics Initiatives - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analytics Initiatives write by Ondřej Bothe. This book was released on 2022-04-20. Data Analytics Initiatives available in PDF, EPUB and Kindle. The categorisation of analytical projects could help to simplify complexity reasonably and, at the same time, clarify the critical aspects of analytical initiatives. But how can this complex work be categorized? What makes it so complex? Data Analytics Initiatives: Managing Analytics for Success emphasizes that each analytics project is different. At the same time, analytics projects have many common aspects, and these features make them unique compared to other projects. Describing these commonalities helps to develop a conceptual understanding of analytical work. However, features specific to each initiative affects the entire analytics project lifecycle. Neglecting them by trying to use general approaches without tailoring them to each project can lead to failure. In addition to examining typical characteristics of the analytics project and how to categorise them, the book looks at specific types of projects, provides a high-level assessment of their characteristics from a risk perspective, and comments on the most common problems or challenges. The book also presents examples of questions that could be asked of relevant people to analyse an analytics project. These questions help to position properly the project and to find commonalities and general project challenges.
Business Intelligence Strategy and Big Data Analytics
Business Intelligence Strategy and Big Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Business Intelligence Strategy and Big Data Analytics write by Steve Williams. This book was released on 2016-04-08. Business Intelligence Strategy and Big Data Analytics available in PDF, EPUB and Kindle. Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like “big data and “big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. Provides ideas for improving the business performance of one’s company or business functions Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans
Big Data Analytics
Big Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Analytics write by Bernd Heesen. This book was released on 2016-11-09. Big Data Analytics available in PDF, EPUB and Kindle. Our future is changing radically as we speak. The machine age is on its way and digitalization, automated machine learning and decision making based on Big Data Analytics is transforming the reality of our private and business lifes. This book will explain how you can benefit from new opportunities and avoid the risk of being replaced as an individual and organization. You cannot avoid digitalization, so it is now on you to decide if you will be part of this journey or be left behind. Content: - Value of Big Data - How Big Data revolutionizes strategy execution - Architecture for Big Data Analytics: Framework and Value Lifecycle - Solutions for Big Data Analytics: Descriptive, Predictive and Prescriptive Analytics, Data Mining and Text Mining, Data Visualization, Tools - Real world use cases for Big Data Analytics: Big Data in merchandising, How Big Data helps a bus company, Utilizing digital media at Piano, Manufacturing intelligence at Villeroy & Boch, Big Data for the Public Distribution System in Tamil Nadu. Additional information and videos available at www.prescient.pro
Big Data Analytics
Big Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data Analytics write by Kim H. Pries. This book was released on 2015-02-05. Big Data Analytics available in PDF, EPUB and Kindle. With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.Comparing and contrasting the dif
Big Data MBA
Big Data MBA - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data MBA write by Bill Schmarzo. This book was released on 2015-12-11. Big Data MBA available in PDF, EPUB and Kindle. Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.
