Business Intelligence and Analytics (BI&A) is the process of extracting and predicting business-critical insights from raw data. Traditional BI focused on data collection, extraction, and organization to enable efficient query processing to derive insights from historical data. With sources of data sources growing steadily, traditional BI&A are evolving to provide intelligence at different scales and perspectives: operational BI, situational BI, self-service BI. In these slides we digested an article that talking about next generation of BI.
Inhaltsverzeichnis (Table of Contents)
- Introduction
- Modern Features of Next Generation BI
- Next Generation Data Architecture
- Conclusion
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This paper examines the evolution of Business Intelligence (BI) from traditional approaches to modern, next-generation methods. It highlights the key features and advantages of next-generation BI, focusing on real-time, situational, and self-service capabilities.
- The evolution of BI from traditional to next-generation methods
- The advantages of next-generation BI, including real-time, situational, and self-service capabilities
- The challenges of traditional BI systems and the need for a new approach
- The characteristics and benefits of next-generation BI architecture
- The role of data sources and data architecture in modern BI systems
Zusammenfassung der Kapitel (Chapter Summaries)
- Introduction: This section introduces the concept of Business Intelligence as the process of extracting and predicting critical business insights from raw data. It contrasts traditional BI, focusing on data collection, extraction, and organization, with the evolving landscape of next-generation BI.
- Modern Features of Next Generation BI: This chapter dives into the key features of next-generation BI, emphasizing the shift towards real-time BI, situational BI, and self-service BI. It explores the advantages of these modern features over traditional BI methods.
- Next Generation Data Architecture: This chapter discusses the architectural principles of next-generation BI systems, highlighting the need for a robust and scalable data infrastructure to handle the increasing volume and variety of data. It explores the challenges of traditional three-layer architectures and proposes new solutions for next-generation systems.
Schlüsselwörter (Keywords)
The key terms and concepts explored in this paper include Business Intelligence, next-generation BI, real-time BI, situational BI, self-service BI, data architecture, data sources, data warehousing, and modern BI systems.
Frequently Asked Questions
What is the main difference between traditional and next-generation BI?
Traditional BI focuses on historical data and efficient query processing, while next-generation BI emphasizes real-time insights, situational awareness, and self-service capabilities.
What are the core features of Next Generation Business Intelligence?
Key features include operational BI, situational BI, and self-service BI, allowing users at all levels to derive insights at different scales.
Why is a new data architecture necessary for modern BI?
Traditional three-layer architectures struggle with the increasing volume, variety, and velocity of data, necessitating more scalable and flexible frameworks.
What role does "Self-Service BI" play?
It empowers business users to access and analyze data independently without constant reliance on the IT department, speeding up decision-making.
What is "Situational BI"?
Situational BI provides intelligence based on specific, often transient business contexts or external events, rather than just broad historical trends.
- Quote paper
- Mohammad Javad Khademian (Author), 2019, A Presentation About Next Generation Business Intelligence and Analytics, Munich, GRIN Verlag, https://www.grin.com/document/504492
