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Goethe AG
Database Management III



GENERAL

OBJECTIVE

Business Intelligence (or Competitive Intelligence) refers to the intelligent management, maintenance, and analysis of data. It aims at getting a competitive advantage against business competitors and at receiving a Customer Satisfaction. With respect to this, important standard terms have been implemented, for example Balanced Scorecards and the idea of a Customer Life-time Value. The concept of Business Intelligence has been mainly initiated by the growing presence of large data sets and the demand for an advanced and individual decision support. Industrial requests have contributed to a variety of novel algorithmic methods and techniques to support an intelligent treatment of data, information, and knowledge. Today, important implementation range from the establishment of a Data Warehouse (and Enterprise Warehouse), a verificative reporting through statistical surveys as well as Online Analytical Processing (OLAP), and the explorative analysis of data through Data Mining. Application examples are Customer Profiling and Retention, Prediction in general, and Market Basket Analysis.

CONTENTS

The course follows the previous courses on Database Management I and Database Management II. It is split into a Lecture, a Project (including an individual presentation, a written report, and a technical discussion), and a Seminar.
  • C18: Introduction to Business/Competitive Intelligence.
  • C19: The role of data; the interplay with information, insights, and knowledge (Waterfall).
  • C20: The need for a Data Quality - Data Pre-processing.
  • C21: Introduction to Data Warehousing.
  • C22: Data and Information Retrieval.
  • C23: OLAP.
  • C24: Introduction to Data Mining - Machine Learning.
  • C25: Business Intelligence Project Examples.

AIMS OF QUALIFICATION

The requirements of the course are fundamental skills in Database Management I and Database Management II. We expect that each student participates the lecture, the project, the exercises, and the seminar as well.

LEARNING OUTCOMES

In this course, we present the key concepts of Business/Competitive Intelligence as described above. We motivate its industrial and academic importance and communicate deeper insights in the application of Business/Competitive Intelligence in practice.

SELECTED REFERENCES

  1. S. Scheps: Business Intelligence For Dummies. For Dummies Publishing Company. 2008.
  2. C. M. Andersen, S. Bayerl, G. Bent, J. Lee, C. Schommer: Mining your own Business. IBM Redbook Series. Vol 1 (Retail), Vol 2 (Finance), Vol 3 (Insurance), Vol 4 (Health). IBM Press. 2001.
  3. E. Vitt, M. Luckevich, S. Misner: Business Intelligence - Making Better Decisions Faster. Microsoft Press. 2002.
  4. S. Williams, N. Williams: The Profit Impact of Business Intelligence. Morgan Kaufmann. 2006.


"Database Management III" is mentioned on: Courses | Database Management II
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