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Establishing 'Making it Happen' as a 'Formal & Predictable' Discipline
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SECTION - KDD-Data Mining

Knowledge Discovery in Database is next level of evolution beyond data query and analytics. It moves from 'what has happened'/'why it has happened' to 'what is likely to happen?'. In tradition analytics, you have to ask right questions to get the right answers. In KDD- Data Mining, it helps you to ask right questions. KDD-Data mining moves from 'retroactive' to 'pro-active'.


 
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KDD- Data Mining Overview   

Knowledge Discovery in Database is next level of evolution beyond data query and analytics. It moves from 'what has happened'/'why it has happened' to 'what is likely to happen?'. In tradition analytics, you have to ask right questions to get the right answers. In KDD- Data Mining, it helps you to ask right questions. KDD-Data mining moves from 'retroactive' to 'pro-active'.

Topics in this chapter :  What is KDD- Data Mining? →  Knowledge Discovery in Databases Program →  Knowledge Discovery in Databases Process →  Data Mining Technology →  KDD- Data Mining Issues & Challenges →  Knowledge Discovery in Databases Methodology →  Data Mining Techniques- Propensity Modeling →  Data Mining Techniques- Predictive Modeling → 

 

All Sections in " Enterprise Intelligence ."
 BI End-to-End →  Data Quality →  Data-Warehouse/Mart →  Data Analysis/OLAP →  Metadata Management →  Master Data Management →  KDD-Data Mining → 

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Maximising Sales Performance
telemarketing Sales Lead Generation
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  Customer Relationship Management
Customer Service and Support Overview
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Review Session should stay focused
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  Business Intelligence & Data Quality
Individual Impact and Usage of BI
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