Are you looking for the best books on Business Intelligence?… If yes, then this article is for you. In this article, you will find the Best Business Intelligence Books for Beginners & advanced like Beginner courses, and Practice test courses. So, check these Best Business Intelligence Books for Beginners and find the Best Business Intelligence Books for Beginners to Advanced according to your need.
In the previous article, I shared the Best Machine Learning Books for beginners to Advanced to read in 2022, you can go through the list and enjoy reading.
Best Business Intelligence Books for Beginners to Advanced to know in 2022
AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning
Use business intelligence and AI to power corporate growth, increase efficiency, and improve business decision-making. With this practical book with hands-on examples in Power BI, you’ll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you’ll learn how to draw insights from unstructured data sources like text, document, and image files.
- Leverage AI to drive business impact in BI environments
- Use AutoML for automated classification and improved forecasting
- Implement recommendation services to support decision-making
- Draw insights from text data at scale with natural language processing
- Extract information from documents and images with computer vision
- Build interactive user interfaces for AI-powered dashboards
- Implement an end-to-end case study for building an AI-powered customer analytics dashboard
Author Tobias Zwingmann helps BI professionals, business analysts and data analysts understand high-impact areas of artificial intelligence. You’ll learn how to leverage popular AI-as-a- service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists.
Mastering Microsoft Power BI: Expert techniques to create interactive insights for effective data analytics and business intelligence
Mastering Microsoft Power BI, Second Edition, provides an advanced understanding of Power BI to get the most out of your data and maximize business intelligence. This updated edition walks through each essential phase and component of Power BI, and explores the latest, most impactful Power BI features.
Using best practices and working code examples, you will connect to data sources, shape and enhance source data, and develop analytical data models. You will also learn how to apply custom visuals, implement new DAX commands and paginated SSRS-style reports, manage application workspaces and metadata, and understand how content can be staged and securely distributed via Power BI apps.
Furthermore, you will explore top report and interactive dashboard design practices using features such as bookmarks and the Power KPI visual, alongside the latest capabilities of Power BI mobile applications and self-service BI techniques.
Additionally, important management and administration topics are covered, including application lifecycle management via Power BI pipelines, the on-premises data gateway, and Power BI Premium capacity.
By the end of this Power BI book, you will be confident in creating sustainable and impactful charts, tables, reports, and dashboards with any kind of data using Microsoft Power BI.
- Build efficient data retrieval and transformation processes with the Power Query M language and dataflows
- Design scalable, user-friendly DirectQuery, import, and composite data models
- Create basic and advanced DAX measures
- Add ArcGIS Maps to create interesting data stories
- Build pixel-perfect paginated reports
- Discover the capabilities of Power BI mobile applications
- Manage and monitor a Power BI environment as a Power BI administrator
- Scale up a Power BI solution for an enterprise via Power BI Premium capacity
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.
- 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 develop BI tools to see what else may be useful
Power BI – Business Intelligence Clinic: Create and Learn
In this Create and Learn book, Power BI – Business Intelligence Clinic with more than 300 images Black & White, you will go through important topics of Microsoft Power BI Desktop – a Free BI tool from Microsoft. You will learn how to install Power BI Desktop, get data, model your data, work with visuals and reports, create a sales dashboard, and share your work with others.
You will follow step-by-step instructions to create a professional sales dashboard, and eight warm-up dashboards to help you rapidly increase your Power BI knowledge.
The BI Clinic series is suitable for everyone – managers, analysts, students… – It will help you compare different Business Intelligence tools, learn the basics, and select the best for your project, company, customers, or personal needs.
Business Intelligence Guidebook: From Data Integration to Analytics
Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget.
Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes.
Practising consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers.
After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications.
You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.
Business Intelligence: The Savvy Manager’s Guide
Business Intelligence: The Savvy Managers Guide, Second Edition, discusses the objectives and practices for designing and deploying a business intelligence (BI) program. It looks at the basics of a BI program, from the value of information and the mechanics of planning for success to data model infrastructure, data preparation, data analysis, integration, knowledge discovery, and the actual use of discovered knowledge.
Organized into 21 chapters, this book begins with an overview of the kind of knowledge that can be exposed and exploited through the use of BI. It then proceeds with a discussion of information use in the context of how value is created within an organization, how BI can improve the ways of doing business, and organizational preparedness for exploiting the results of a BI program.
It also looks at some of the critical factors to be taken into account in the planning and execution of a successful BI program. In addition, the reader is introduced to considerations for developing the BI roadmap, the platforms for analysis such as data warehouses, and the concepts of business metadata.
Other chapters focus on data preparation and data discovery, the business rules approach, and data mining techniques and predictive analytics. Finally, emerging technologies such as text analytics and sentiment analysis are considered.
This book will be valuable to data management and BI professionals, including senior and middle-level managers, Chief Information Officers and Chief Data Officers, senior business executives and business staff members, database or software engineers, and business analysts.
Introduction to R for Business Intelligence
Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance.
In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards.
After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence.
- Extract, clean, and transform data
- Validate the quality of the data and variables in datasets
- Learn exploratory data analysis
- Build regression models
- Implement popular data-mining algorithms
- Visualize results using popular graphs
- Publish the results as a dashboard through Interactive Web Application frameworks
Tableau – Business Intelligence Clinic: Create and Learn
If you want to learn Business Intelligence software, if you are looking for specific BI tool, or if you are trying to decide on your next new BI solution, you will love the Business Intelligence Clinic.
One dataset, multiple solutions: Each book is about a different BI software, and you will follow step-by-step instructions to create a professional sales dashboard with the same friendly dataset.
The BI Clinic series is suitable for everyone – managers, analysts, students… – It will help you compare different Business Intelligence tools, learn the basics, and select the best for your project, company, customers, or personal needs.
In this Create and Learn book, Tableau – Business Intelligence Clinic with more than 300 images Black & White, you will you go through important topics of Tableau Desktop. You will learn how to install Tableau Desktop, get data, model your data, work with visuals and reports, create a sales dashboard, and share your work with others.
The Definitive Guide to DAX: Business Intelligence for Microsoft Power BI, SQL Server Analysis Services, and Excel
Now expanded and updated with modern best practices, this is the most complete guide to Microsoft’s DAX language for business intelligence, data modeling, and analytics.
Expert Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization.
You’ll learn exactly what happens under the hood when you run a DAX expression, and use this knowledge to write fast, robust code.
This edition focuses on examples you can build and run with the free Power BI Desktop, and helps you make the most of the powerful syntax of variables (VAR) in Power BI, Excel, or Analysis Services. Want to leverage all of DAX’s remarkable capabilities? This no-compromise “deep dive” is exactly what you need.
Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications
Business Intelligence Roadmap is a visual guide to developing an effective business intelligence (BI) decision-support application. This book outlines a methodology that takes into account the complexity of developing applications in an integrated BI environment. The authors walk readers through every step of the process–from strategic planning to the selection of new technologies and the evaluation of application releases. The book also serves as a single-source guide to the best practices of BI projects.
Part I steers readers through the six stages of a BI project: justification, planning, business analysis, design, construction, and deployment. Each chapter describes one of sixteen development steps and the major activities, deliverables, roles, and responsibilities. All technical material is clearly expressed in tables, graphs, and diagrams.
Part II provides five matrices that serve as references for the development process charted in Part I. Management tools, such as graphs illustrating the timing and coordination of activities, are included throughout the book. The authors conclude by crystallizing their many years of experience in a list of dos, don’ts, tips, and rules of thumb. The accompanying CD-ROM includes a complete, customizable work breakdown structure.
Both the book and the methodology it describes are designed to adapt to the specific needs of individual stakeholders and organizations. The book directs business representatives, business sponsors, project managers, and technicians to the chapters that address their distinct responsibilities. The framework of the book allows organizations to begin at any step and enables projects to be scheduled and managed in a variety of ways.
And here the list ends. So, these are the Best Business Intelligence Books for Beginners to Advanced. I will keep adding more Best Books on Business Intelligence to this list.
Conclusion
I hope these Best Business Intelligence Books for Beginners to Advanced will definitely help you to enhance your skills. If you have any doubts or questions, feel free to ask me in the comment section.
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