Data warehouse and mining final
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The document discusses data mining and how it transforms data into valuable information that can be used to make better business decisions. It explains that data mining involves assembling data from various sources, cleansing it, and storing it in a data warehouse where it can be analyzed and queried. Through the use of algorithms, statistics, machine learning, and other techniques, data mining aims to identify valid and novel patterns in large data sets that can potentially be useful. While data mining provides many benefits, it also raises issues around privacy, security, and potential misuse of information that must be addressed.
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![Information A process of
transforming data into
information .
To make it available to
users in a timely manner
to make a difference.
[Forrester Research, April 1996]
Data
Powerpoint Templates
Page 2](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Data warehouse and mining final
- 1. Powerpoint Templates Page 1
- 2. Information A process of transforming data into information . To make it available to users in a timely manner to make a difference. [Forrester Research, April 1996] Data Powerpoint Templates Page 2
- 3. • For assembling and managing data from various sources for the purpose of answering business questions. Thus making decisions that were not previous possible. Powerpoint Templates Page 3
- 4. Relational Databases Optimized Loader Extraction ERP Cleansing Systems Data Warehouse Engine Analyze Purchased Query Data Legacy Data Powerpoint Templates Page 4
- 5. Data Mining Is The Valuable process of identifying Valid Novel Potentially Usefull data from databases. Powerpoint Templates Page 5
- 6. •Brute-force crunching of bulk data •A difficult to understand technology requiring an advanced degree in computer science Powerpoint Templates Page 6
- 7. “Necessity is the Mother of Invention” We are drowning in data, but starving for knowledge ! Powerpoint Templates Page 7
- 8. By Utilizing the CRISP-DM Methodology Requirements: Existing data Software technologies Situational expertise Powerpoint Templates Page 8
- 9. Powerpoint Templates Page 9
- 10. Data mining core of knowledge discovery process Powerpoint Templates Page 10
- 11. Powerpoint Templates Page 11
- 12. Database Technology Statistics Machine Visualization Learning Data Mining Pattern Recognition Other Algorithm Disciplines Powerpoint Templates Page 12
- 13. Powerpoint Templates Page 13
- 14. Finance / Banking Manufacturing Marketing / Retail Governments Powerpoint Templates Page 14
- 15. Privacy Issues Security issues Misuse of information/inaccurate information Powerpoint Templates Page 15
- 16. Data mining brings a lot of benefits to businesses, society, governments as well as individual. However privacy, security and misuse of information are the big problems if they are not addressed and resolved properly. Powerpoint Templates Page 16
- 17. Any Questions..?? Powerpoint Templates Page 17
- 18. Powerpoint Templates Page 18
Editor's Notes
- . It can keep records of