Dr. Brian Mac Namee ( www.comp.dit.ie/bmacnamee ). Business Systems Intelligence: 1. Introduction. Acknowledgments. These notes are based (heavily) on those provided by the authors to accompany “Data Mining: Concepts & Techniques” by Jiawei Han and Micheline Kamber
Dr. Brian Mac Namee (www.comp.dit.ie/bmacnamee)
More information about the book is available at:www-sal.cs.uiuc.edu/~hanj/bk2/
And information on SAS is available at:www.sas.com
“We can’t do manual credit checks on each residential customer, so this saves a lot of time. We know what customers need to make deposits and who isn’t a credit risk, so they don’t need to have their service cut off if their payment is a few days late. It improves customer satisfaction.”
—Pavel Vlasaný, Head of Credit Risk and Collection
“SAS allows us to make more accurate predictions so that we can present that information to the case managers in a very simple, user-friendly fashion.”
- Howard Underwood, Head of Informatics and Quality Metrics
“The quality and efficiency of the loan appraisal process has definitely improved.”
-Sylvain Fortier , Senior Manager for Retail Risk Management, Laurentian Bank
“We work hard to refine our technology, which allows us to make recommendations that make shopping more convenient and enjoyable. SAS helps Amazon.com analyze the results of our ongoing efforts to improve personalization”
-Diane N. LyeAmazon.com's Snr. Manager for Worldwide Data Mining
“Business intelligence uses knowledge management, data warehouse[ing], data mining and business analysis to identify, track and improve key processes and data, as well as identify and monitor trends in corporate, competitor and market performance.”
What’s the best that can happen?
What will happen next?
What if these trends continue?
Why is this happening?
What actions are needed?
Where exactly is the problem?
Access & reporting
How many, how often, where?
Ad hoc reports
Degree of intelligence
“BI platforms enable users to build applications that help organizations learn and understand their business. Gartner defines a BI platform as a software platform that delivers the 12 capabilities listed below. These capabilities are organized into three categories of functionality: integration, information delivery and analysis. Information delivery is the core focus of most BI projects today, but we see an increasing need to focus more on analysis to discover new insights, and on integration to implement those insights.”
- Business Intelligence Magic Quadrants(http://mediaproducts.gartner.com/reprints/oracle/145507.html)
We will basically consider business systems intelligence to be:
Data Warehousing + Data Mining+ Some Extra Stuff
ACHTUNG: A lot of these terms are used interchangeably
“A data warehouse is a subject-oriented, integrated, time-variant, and non-volatile collection of data in support of management’s decision-making process”
Let’s think about an example for a few minutes
Evaluation & Presentation
Selection & Transformation
Cleaning & Integration
Statistical Analysis, Querying and Reporting
Data Warehouses / Data Marts
Paper, Files, Information Providers, Database Systems, OLTP
Graphical User Interface
Data Mining Engine
Database Or Data Warehouse Server
Data Cleaning & Integration
Business Systems Intelligence:Data Warehousing + Data Mining+ Some Extra Stuff
“Data Mining: Concepts & Techniques”, J. Han & M. Kamber, Morgan Kaufmann, 2006DON’T BUY IT YET!
“Competing On Analytics: The New Science of Winning”, Thomas H Davenport & Jeanne G Harris, Harvard Business School Press, 2007
“Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart”, Ian Ayres, Bantam Books, 2007