Excel Business Intelligence Part 2 Data Modeling 101
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Excel Business Intelligence Part 2 Data Modeling 101
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Author :
language : en
Publisher:
Release Date : 2018
Excel Business Intelligence Part 2 Data Modeling 101 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Learn the basics of data modeling in Microsoft Excel from experienced Excel trainer Chris Dutton. In this course?the second installment in the Excel Business Intelligence series?Chris discusses the essentials of database design and normalization. He steps through the data model interface in Excel and provides tried-and-true tips and tricks. The topics covered in this course can help you bolster your understanding of table relationships, hierarchies, and more.
Excel Business Intelligence Part 2 Data Modeling 101
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Author : Chris Dutton
language : en
Publisher:
Release Date : 2018
Excel Business Intelligence Part 2 Data Modeling 101 written by Chris Dutton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Business Intelligence
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Author : Patrick Marcel
language : en
Publisher: Springer
Release Date : 2017-07-03
Business Intelligence written by Patrick Marcel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-03 with Business & Economics categories.
This book constitutes the tutorial lectures of the 6th European Business Intelligence and Big Data Summer School, eBISS 2016, held in Tours, France, in July 2016. Tutorials were given by renowned experts and covered recent and various aspects of Business Intelligence and Big Data processing, including analytics on graph data, machine translation, pattern mining, scalability, and energy consumption. This volume contains the corresponding lecture notes of the summer school.
Ebook Business Statistics In Practice Using Data Modeling And Analytics
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Author : Bowerman
language : en
Publisher: McGraw Hill
Release Date : 2016-04-16
Ebook Business Statistics In Practice Using Data Modeling And Analytics written by Bowerman and has been published by McGraw Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-16 with Business & Economics categories.
Ebook: Business Statistics in Practice: Using Data, Modeling and Analytics
Business Analytics With Management Science Models And Methods
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Author : Arben Asllani
language : en
Publisher: FT Press
Release Date : 2014-11-17
Business Analytics With Management Science Models And Methods written by Arben Asllani and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-17 with Business & Economics categories.
Master decision modeling and analytics through realistic examples, intuitive explanations, and tested Excel templates. Business Analytics with Management Science has been designed to help students, practitioners and managers use business analytics to improve decision-making systems. Unlike previous books, it emphasizes the application of practical management science techniques in business analytics. Drawing on 20+ years of teaching and consulting experience, Dr. Arben Asllani introduces decision analytics through realistic examples and intuitive explanations – not complex formulae and theoretical definitions. Throughout, Asllani helps practitioners focus more on the crucial input-output aspects of decision making – and less upon internal model complexities that can usually be "delegated" to software.
Microsoft Business Intelligence For Dummies
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Author : Ken Withee
language : en
Publisher: John Wiley & Sons
Release Date : 2010-03-05
Microsoft Business Intelligence For Dummies written by Ken Withee and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-05 with Computers categories.
Learn to create an effective business strategy using Microsoft's BI stack Microsoft Business Intelligence tools are among the most widely used applications for gathering, providing access to, and analyzing data to enable the enterprise to make sound business decisions. The tools include SharePoint Server, the Office Suite, PerformancePoint Server, and SQL Server, among others. With so much jargon and so many technologies involved, Microsoft Business Intelligence For Dummies provides a much-needed step-by-step explanation of what's involved and how to use this powerful package to improve your business. Microsoft Business Intelligence encompasses a broad collection of tools designed to help business owners and managers direct the enterprise effectively This guide provides an overview of SharePoint, PerformancePoint, the SQL Server suite, Microsoft Office, and the BI development technologies Explains how the various technologies work together to solve functional problems Translates the buzzwords and shows you how to create your business strategy Examines related technologies including data warehousing, data marts, Online Analytical Processing (OLAP), data mining, reporting, dashboards, and Key Performance Indicators (KPIs) Simplifies this complex package to get you up and running quickly Microsoft Business Intelligence For Dummies demystifies these essential tools for enterprise managers, business analysts, and others who need to get up to speed.
Business Analytics
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Author : Jeffrey D. Camm
language : en
Publisher: Cengage AU
Release Date : 2020-03-10
Business Analytics written by Jeffrey D. Camm and has been published by Cengage AU this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-10 with Business & Economics categories.
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.
Business Analytics
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Author : Rahul Saxena
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-05
Business Analytics written by Rahul Saxena and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-05 with Business & Economics categories.
This book provides a guide to businesses on how to use analytics to help drive from ideas to execution. Analytics used in this way provides “full lifecycle support” for business and helps during all stages of management decision-making and execution. The framework presented in the book enables the effective interplay of business, analytics, and information technology (business intelligence) both to leverage analytics for competitive advantage and to embed the use of business analytics into the business culture. It lays out an approach for analytics, describes the processes used, and provides guidance on how to scale analytics and how to develop analytics teams. It provides tools to improve analytics in a broad range of business situations, regardless of the level of maturity and the degree of executive sponsorship provided. As a guide for practitioners and managers, the book will benefit people who work in analytics teams, the managers and leaders who manage, use and sponsor analytics, and those who work with and support business analytics teams.
Pro Sharepoint 2013 Business Intelligence Solutions
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Author : Manpreet Singh
language : en
Publisher: Apress
Release Date : 2013-09-13
Pro Sharepoint 2013 Business Intelligence Solutions written by Manpreet Singh and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-13 with Computers categories.
To get ahead in today's hyper-competitive marketplace, your business has to take advantage of the data you already have and mine that data to give you new insight, metrics, and clues to what drives successful customer interactions. In Pro SharePoint 2013 Business Intelligence Solutions, you'll learn exactly how to unlock that magic, build business intelligence facilities on SharePoint, and glean insights from data to propel your business to the next level. To understand the various business intelligence offerings in SharePoint 2013, you need to understand the core SQL Server business intelligence concepts, and the first part of the book presents a comprehensive tutorial on those fundamentals. Pro SharePoint 2013 Business Intelligence Solutions then focuses on specific SharePoint business intelligence investments including: Visio Services Excel Services SQL Server Reporting Services Business Connectivity Services Power View and PerformancePoint Services Authors Manpreet Singh, Sha Anandan, Sahil Malik, and Steve Wright walk you through all of this material comprehensively in practical, hands-on format, with plenty of examples to empower you to use these products in your real-life projects. As compelling as SharePoint and SQL Server business intelligence are together, the challenge always has been finding people who understand both SharePoint and SQL Server well enough to deliver such business intelligence solutions. With this book in hand, you become part of that select group. Get your copy of Pro SharePoint 2013 Business Intelligence Solutions today!
Business And Consumer Analytics New Ideas
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Author : Pablo Moscato
language : en
Publisher: Springer
Release Date : 2019-05-30
Business And Consumer Analytics New Ideas written by Pablo Moscato and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-30 with Computers categories.
This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a commonunderstanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.