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Business Intelligence
Understanding Business Intelligence
In today's data-driven world, the term "Business Intelligence" (BI) is more relevant than ever. This category is dedicated to literature that explores the methodologies, technologies, and practices involved in making data-driven decisions effectively in any organization.
What is Business Intelligence?
Business Intelligence refers to the strategies and technologies used by enterprises for the data analysis of business information. It encompasses a variety of tools, applications, and methodologies that enable organizations to collect data from internal systems and external sources, prepare it for analysis, develop and run queries against the data, and create reports, dashboards, and data visualizations to make the analytical results available to corporate decision-makers.
BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop, and create new strategic business opportunities. The goal is to allow easy interpretation of these big data, identifying new opportunities, and implementing effective strategies based on insights can provide businesses with a competitive market advantage and long-term stability.
Core Components of Business Intelligence
Key components of Business Intelligence include:
- Data Mining: Discovering patterns in large datasets using algorithms.
- Reporting: Sharing analyses with stakeholders to inform decision-making.
- Performance Metrics and Benchmarking: Comparing performance data to set standards and identify trends.
- Descriptive Analytics: Using preliminary data analysis to find out what happened.
- Query tools: Enabling simple database searches.
- Statistical analysis: Understanding what happened and why.
- Data visualization: Turning data analysis into visual objects that can be easily understood and inform decisions quickly.
Benefits of Business Intelligence
BI products can help an organization:
- Enhance decision-making processes.
- Improve data visibility.
- Boost productivity and efficiency.
- Deliver personalized service.
- Gain competitive advantages.
- Provide faster, more reliable reporting, analysis or planning.
Emerging Trends in BI
As technologies and business landscapes evolve, so do Business Intelligence solutions. Some emerging trends in BI include:
- AI and Machine Learning: These technologies are now being integrated into BI processes for faster, more accurate data analysis.
- Cloud-Based BI: Offering scalability and ease of access, cloud platforms are becoming an essential part of BI strategies.
- Data Governance: As data becomes a critical asset, governing this resource effectively is now a prime concern.
- Self-Service BI: Empowering users to generate their own analyses and reports without deep technical expertise.
- Mobile BI: With increasing on-the-go work culture, mobile BI applications are gaining popularity.
Books & Resources
The Business Intelligence category in our online bookstore offers a vast collection of books and resources for both beginners and seasoned professionals in the field. These books provide detailed insights into various BI tools and technologies, case studies, implementations tips, and strategic guidance on making data a cornerstone of your business strategy.
Whether you're just starting out or looking to update your skills, there's a wealth of knowledge waiting for you to explore. Dive into our selection to find the best practices, expert advice, and real-world applications of Business Intelligence.
Books
123 resultsDecision Support Systems
Zhang, Peiqin; Lee, Hsun-Ming; Zhao, Kexin; Shah, Vivek
Business Intelligence and Business Process Management in Banking Operations (Proceedings of 29th International Conference Information Technology Interfaces)
Institute of ElectricalandElectronics Engineers
Reference Architecture for the Telecommunications Industry: Transformation of Strategy, Organization, Processes, Data, and Applications
Christian Czarnecki,Christian Dietze (auth.)
Data Mining. Concepts and Techniques, 3rd Edition
Jiawei Han,Micheline Kamber,Jian Pei
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Ossama Embarak
Python for Data Science For Dummies, 3rd Edition
John Paul Mueller,Luca Massaron
Business intelligence and analytics: systems for decision support
Turban,Efraim
Performance Dashboards: Measuring, Monitoring, and Managing Your Business
Wayne W. Eckerson
Performance Dashboards: Measuring, Monitoring, and Managing Your Business, 2nd Edition
Wayne W. Eckerson
(with selectable text) The Visual Display of Quantitative Information
Edward R. Tufte
A Joosr guide to ... Small data by Martin Lindstrom: the tiny clues that uncover huge trends
Lindstrom,Martin
Data Manipulation with R, 2nd Edition: Efficiently perform data manipulation using the split-apply-combine strategy in R
Jaynal Abedin,Kishor Kumar Das
Business Intelligence Competency Centers: A Team Approach to Maximizing Competitive Advantage (Wiley and SAS Business Series)
Gloria Miller,Dagmar Brautigam,Stefanie V. Gerlach
Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications
Larissa T. Moss,Shaku Atre
Keeping Up with the Quants: Your Guide to Understanding and Using Analytics
Thomas H. Davenport,Jinho Kim
Digital Asset Management: Content Architectures, Project Management, and Creating Order out of Media Chaos
Elizabeth Keathley
Introduction To Data Mining Instructors Solution Manual
Tan, Pang-Ning;Steinbach, Michael;Kumar, Vipin
Think bigger : developing a successful big data strategy for your business
Van Rijmenam,Mark
Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics
David Taniar,David Taniar
Connected CRM: Implementing a Data-Driven, Customer-Centric Business Strategy
David S. Williams
Business Intelligence Strategy and Big Data Analytics. A General Management Perspective
Steve Williams
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
Yau Nathan.
Small Data: The Tiny Clues That Uncover Huge Trends
Martin Lindstrom
Multimedia data mining: a systematic introduction to concepts and theory
Zhongfei Zhang,Ruofei Zhang
Building a Scalable Data Warehouse with Data Vault 2.0
Dan Linstedt;Michael Olschimke
Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics
Lin N.
Remote Sensing for Environmental Data in Albania: A Strategy for Integrated Management
Manfred F. Buchroithner (auth.),Manfred F. Buchroithner (eds.)
Introduction to Data Mining and Its Applications
Sumathi S.,Sivanandam S. N.
Python for Data Science For Dummies [Team-IRA]
John Paul Mueller,Luca Massaron
Big data baseball : math, miracles, and the end of a 20-year losing streak
Sawchik,Travis
Predictive analytics: the power to predict who will click, buy, lie, or die, revised and updated
Gildan Media.;Menasche, Steven;Siegel, Eric
Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems)
Jiawei Han,Micheline Kamber,Jian Pei