Business Intelligence Books: 10 Great Books for (2021)

Business Intelligence Books

Business Intelligence For Dummies

You’re intelligent, right? So you’ve already figured out that Business Intelligence can be pretty valuable in making the right decisions about your business. But you’ve heard at least a dozen definitions of what it is, and heard of at least that many BI tools. Where do you start?

Business Intelligence For Dummies makes BI understandable! It takes you step by step through the technologies and the alphabet soup, so you can choose the right technology and implement a successful BI environment. You’ll see how the applications and technologies work together to access, analyze, and present data that you can use to make better decisions about your products, customers, competitors, and more.

You’ll find out how to:

  • Understand the principles and practical elements of BI
  • Determine what your business needs
  • Compare different approaches to BI
  • Build a solid BI architecture and roadmap
  • Design, develop, and deploy your BI plan
  • Relate BI to data warehousing, ERP, CRM, and e-commerce
  • Analyze emerging trends and developing BI tools to see what else may be useful

Expanded to cover the latest advances in business intelligence such as big data, cloud, mobile, visual data discovery, and in-memory computing, this fully updated bestseller by BI guru Cindi Howson provides cutting-edge techniques to exploit BI for maximum value. Successful Business Intelligence: Unlock the Value of BI & Big Data, Second Edition describes best practices for an effective BI strategy. Find out how to:

  • Garner executive support to foster an analytic culture
  • Align the BI strategy with business goals
  • Develop an analytic ecosystem to exploit data warehousing, analytic appliances, and Hadoop for the right BI workload
  • Continuously improve the quality, breadth, and timeliness of data
  • Find the relevance of BI for everyone in the company
  • Use agile development processes to deliver BI capabilities and improvements at the pace of business change
  • Select the right BI tools to meet user and business needs
  • Measure success in multiple ways
  • Embrace innovation, promote successes and applications, and invest in training
  • Monitor your evolution and maturity across various factors for impact

This planning and implementation field guide is packed with pragmatic advice,proven methods, and real-world tools to support your BI efforts.  And it provides straight talk on how you can deliver reporting and analytics in a hyper-responsive, hyper-agile, and hyper-flexible way to drive adoption and long-lasting value.  In HYPER you will learn:

  • Ways to overcome the 4 primary challenges associated with BI planning and execution
  • Methods to create,validate, and communicate requirements that accelerate decision-making
  • How to identify and deliver quick wins that provide immediate value and user satisfaction

Plus, you’ll get practical tips from years of hands-on field work. So, get HYPER today by clicking the BUY NOW button at the top, and equip yourself to make BI work.
 
Still not convinced?  Check out some of HYPER’s accolades:

  • Named to Tableau’s 2019 list of Nine Great Books About Business Intelligence
  • Solutions Review named Hyper to its 2018 list of Top 20 Best Business Intelligence Books
  • Data Science Programs Guide named Hyper to its 2018 list of Top 25 Best Data Science Books
  • Named the 2016 eLIT Gold Award Winner for Best Business Reference Book
  • Nominated for the 2016 Small Business Book Award

Rapid technology change is impacting organizations large and small. Mobile and Cloud computing, the Internet of Things (IoT), and “Big Data” are driving forces in organizational digital transformation. Decision support and analytics are available to many people in a business or organization. Business professionals need to learn about and understand computerized decision support for organizations to succeed. This text is targeted to busy managers and students who need to grasp the basics of computerized decision support, including: What is analytics? What is a decision support system? What is “Big Data”? What are “Big Data” business use cases? Overall, it addresses 61 fundamental questions. In a short period of time, readers can “get up to speed” on decision support, analytics, and business intelligence. The book then provides a quick reference to important recurring questions.

For courses on Business Intelligence or Decision Support Systems.

A managerial approach to understanding business intelligence systems.

To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.

Business Intelligence: Practices, Technologies, & Management, 1e presents a concise coverage of business intelligence for a widely emerging MIS course at graduate and undergraduate levels. The text provides a foundation for the business intelligence course by supplying an understanding of the basic concepts and technology that comprise business intelligence. Author suggested readings and cases compliment the book to appeal to a variety of courses.

by Harvard Business Review

Companies that don’t use AI will soon be obsolete.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you’re poised for success and keeping up with your competitors in the age of AI?

Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today’s most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.

Business is changing. Will you adapt or be left behind?
Get up to speed and deepen your understanding of the topics that are shaping your company’s future with the Insights You Need from Harvard Business Review series. Featuring HBR’s smartest thinking on fast-moving issues–blockchain, cybersecurity, AI, and more–each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.

by Bob Mather

The book Artificial Intelligence for Business Applications explains the origins of the AI industry, giving details of how it came about. It details the value of AI (Artificial Intelligence) in today’s world. The book discusses the different types of AI available to businesses today and how they can align themselves to benefit from the software. It tackles the promises and challenges of AI, giving the reader a holistic view of the industry. It details how businesses can take advantage of hopes while discussing how to turn the challenges into strengths. You will find information on how AI can benefit economies and will get information on how it is changing business processes, which include acquiring new customers.

You will find information on the new types of services that are arising as AI is getting implemented on a global scale and you can find tips on how you can integrate virtual assistants into their business processes. In this book, you will find information on aligning the strategy of a business with AI, evaluating the impact of its implementation and the steps on how to plan their AI business strategy.

by Ian Horne

Data Analysis Expressions (DAX) is known for its ability to increase efficiency by extracting new information from data that is already present in your model. With this book, you’ll learn to use DAX’s functionality and flexibility in the BI and data analytics domains.

You’ll start by learning the basics of DAX, along with understanding the importance of good data models, and how to write efficient DAX formulas by using variables and formatting styles. You’ll then explore how DAX queries work with the help of examples. The book will guide you through optimizing the BI workflow by writing powerful DAX queries. Next, you’ll learn to manipulate and load data of varying complexity within Microsoft products such as Power BI, SQL Server, and Excel Power Pivot. You’ll then discover how to build and extend your data models to gain additional insights, before covering progressive DAX syntax and functions to understand complex relationships in DAX. Later, you’ll focus on important DAX functions, specifically those related to tables, date and time, filtering, and statistics.

Healthcare Business Intelligence, + Website: A Guide to Empowering Successful Data Reporting and Analytics

Solid business intelligence guidance uniquely designed for healthcare organizations

Increasing regulatory pressures on healthcare organizations have created a national conversation on data, reporting and analytics in healthcare. Behind the scenes, business intelligence (BI) and data warehousing (DW) capabilities are key drivers that empower these functions. Healthcare Business Intelligence is designed as a guidebook for healthcare organizations dipping their toes into the areas of business intelligence and data warehousing. This volume is essential in how a BI capability can ease the increasing regulatory reporting pressures on all healthcare organizations.

  • Explores the five tenets of healthcare business intelligence
  • Offers tips for creating a BI team
  • Identifies what healthcare organizations should focus on first
  • Shows you how to gain support for your BI program
  • Provides tools and techniques that will jump start your BI Program
  • Explains how to market and maintain your BI Program

The risk associated with doing BI/DW wrong is high, and failures are well documented. Healthcare Business Intelligence helps you get it right, with expert guidance on getting your BI program started and successfully keep it going.