Einstein made that famous statement many decades ago, and it's still relevant today for building superior software systems. Unfortunately, as anyone who has been in the IT industry for long can point out, far too many software systems have failed Einstein's test. Some are made too simple to carry out the duties they are supposed to perform. Others are made too complex, and the costs of building and maintaining them have rocketed, not to mention the nearly impossible tasks of integrating different systems together
Businesses nowadays operate in a fast changing and highly complex environment, with more competitors fighting for potential clients. This environment calls for businesses that have the ability to rapidly react on changes and thus are highly flexible in their nature. With the high amount of knowledge available to businesses it
becomes harder to identify changes in the market and make the correct decisions. This is where Business Intelligence comes into discussion which aims at supporting exactly this process of evaluating the data and knowledge available and making decisions. But knowledge is often stored in different locations throughout the
business, especially in international businesses with many different country offices the issue of different IT-applications used that can not communicate with each other appears to be a major problem. This creates a demand for service-oriented architecture.
Overt the last four decades IT systems have grown exponentially, leaving companies to handle increasingly complex service architectures. Traditional architectures have reached the limit of their capabilities, while traditional needs of IT organisations persist. IT departments still need to respond quickly to new business
requirements, continually reduce the cost of IT to the business and an integrate new business partners and customers.
In this paper I would like to take a closer look at the concept of service-oriented architecture and examine the role of it with regards to Business Intelligence.
At first I will introduce the topic of business intelligence, in the second part of the paper which is my main focus, I aim at providing deeper insight on service-oriented architecture. I will then concentrate on the question how this architecture is connected
to Business Intelligence, giving a case study of Deutsche Post as example.
Table of Contents
1. INTRODUCTION
2. BUSINESS INTELLIGENCE – DEFINITIONS AND TASKS
2.1 THE VALUE OF BUSINESS INTELLIGENCE
2.2 THE BUSINESS INTELLIGENCE PROCESS
3. SERVICE ORIENTED ARCHITECTURE (SOA)
3.1. WHAT IS UNDERSTOOD BY A SOA?
3.2. REQUIREMENTS FOR A SOA
3.3. CHARACTERISTICS OF A SOA
3.3.1. The SOA Temple
3.4. DEFINITION OF „SERVICE“ FOR SOA
4. SOA FOR BUSINESS INTELLIGENCE
4.1. THREE PROCESS PHASES OF BI WITH SOA
4.2. BENEFITS OF SOA FOR BUSINESS INTELLIGENCE TASKS
4.3 WHAT THE TRANSFORMATION OPPORTUNITY LOOKS LIKE
5. CASE STUDY: IMPLEMENTATION OF A SERVICE ORIENTED ARCHITECTURE AT DEUTSCHE POST MAIL
6. CONCLUSION
7. REFERENCES
Research Objectives and Topics
The primary objective of this paper is to examine the concept of Service-Oriented Architecture (SOA) and evaluate its role and strategic value within the domain of Business Intelligence. The research explores how SOA principles can address integration challenges in complex IT environments and enable more efficient decision-making processes.
- Fundamentals of Business Intelligence and the data-to-knowledge process.
- Core components and characteristics of Service-Oriented Architecture.
- Integration of SOA within the phases of Business Intelligence.
- Strategic benefits of SOA, including agility, resource utilization, and cost savings.
- Practical application via a case study of Deutsche Post Mail.
Excerpt from the Book
3.1. What is understood by a SOA?
In the last decades a tremendous number of different software technologies have been developed, with always new and different programming languages and different interfaces that can not communicate with each other easily. There was not one standard to use thus creating a manifold pool of different techniques.
With the many different systems we artificially created a high dependency. The trouble with this dependency is that it is not a real dependency where one system relies on the functionality of another system, but it is an artificial dependency, which means that it is a real challenge to achieve communication between two different systems, making it complicated to create a connection from one system to the other. (Hao He 2003)
A Service-Oriented Architecture can be seen as an architecture that aims to achieve this loose coupling among software agents. This loose coupling in SOAs is based on communication between different applications. Due to the fact that communication does not necessarily happen between human beings or between one human being and a computer, but also moves towards a communication between applications, the approach of service-oriented IT-architecture becomes necessary. (Dostal et al. 2005)
Summary of Chapters
1. INTRODUCTION: Discusses the growing complexity of IT landscapes and introduces the necessity of service-oriented architectures for business flexibility.
2. BUSINESS INTELLIGENCE – DEFINITIONS AND TASKS: Defines the concept of Business Intelligence as the transformation of data into strategic knowledge for competitive advantage.
3. SERVICE ORIENTED ARCHITECTURE (SOA): Explains the architectural principles of SOA, focusing on loose coupling, standards, and the service-based approach to system design.
4. SOA FOR BUSINESS INTELLIGENCE: Analyzes the synergy between BI and SOA, detailing how service-oriented structures support data supply and analysis tasks.
5. CASE STUDY: IMPLEMENTATION OF A SERVICE ORIENTED ARCHITECTURE AT DEUTSCHE POST MAIL: Examines a real-world implementation to illustrate the benefits of SOA in resolving historical IT infrastructure issues.
6. CONCLUSION: Summarizes the findings, highlighting the role of SOA as the foundation for responsive, adaptive, and efficient enterprise computing.
Keywords
Business Intelligence, Service-Oriented Architecture, SOA, Data Warehouse, Information Technology, System Integration, Enterprise Architecture, Agility, Loose Coupling, Web Services, Resource Utilization, Business Logic, IT Infrastructure, Data Management.
Frequently Asked Questions
What is the core focus of this paper?
The paper focuses on the intersection of Business Intelligence and Service-Oriented Architecture, examining how the latter can provide the necessary flexibility and infrastructure to support BI requirements.
Which central topics are addressed?
Key topics include the definition of Business Intelligence, the technical characteristics of SOA, the alignment of IT with business processes, and the strategic benefits of modular software design.
What is the primary goal of the author?
The author aims to provide a deeper understanding of SOA and to demonstrate how its implementation creates tangible business value, specifically by enabling more effective and agile Business Intelligence systems.
What scientific method is utilized?
The work utilizes a conceptual and analytical approach, combining a review of established literature with a practical case study to illustrate real-world application.
What does the main part cover?
The main part covers the theoretical foundations of both BI and SOA, a detailed breakdown of how SOA benefits BI tasks, and an examination of a specific case study regarding implementation at Deutsche Post Mail.
How is this work characterized?
The work is characterized by terms such as service orientation, system integration, technical flexibility, cost-efficiency, and the transformation of IT into a strategic asset.
Why is the "SOA Temple" significant?
The SOA Temple is used as a conceptual model to illustrate the foundational layers of SOA, including standards, security, and simplicity, which are essential for robust system communication.
What specific challenge did Deutsche Post Mail face?
Deutsche Post faced issues arising from a historically grown, fragmented IT infrastructure that resulted in poor data availability, high maintenance costs, and a lack of consistent modelling for business-critical information.
- Quote paper
- Mag.Bakk Florian Meisel (Author), 2006, Service-oriented IT-architectures for Business Intelligence, Munich, GRIN Verlag, https://www.hausarbeiten.de/document/115334
