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Vital Concepts of Data Mining

Data mining can be understood as extraction of data. It is subject-oriented and integrated from various sources, as of flat files, relational databases and online records. Certain conventions are to be followed while integrating scattered data into useful data. Data mining services are vital for business research services also. Both walk hand and hand; therefore, these would be concluded as inter-related. Data warehouse’ enterprise, data mart and virtual warehouse of data are its three models.

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Vital Concepts of Data Mining

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  1. Vital Concepts Of Data Mining

  2. Data Mining Data mining is a vast concept. Data warehouse plays key role in it. It determines all factors affecting an enterprise and helps in business decision making. Eminenture.com

  3. What Does ‘Data Warehouse’ Stand For? • A subject-oriented data model of multiple dimensions for • Supporting databases • Supporting information process • Business and market analysis • Decision making process Eminenture.com

  4. What Data Is Asked To Mine? • Data to know the most effective distribution channel • Data to seek lower and highest customers’ margin • Data of current customers’ count • Preferences of the customers • Customers’ behaviour • Impact of new products’ launch on older products • Effect on revenue/ margins • Modes of promotions and their impacts Eminenture.com

  5. What Is Subject-Oriented Data Mining? • Consolidated data that helps in- • Tailoring simple and concise form of useful data • Organizing specific subject-based database, as of customers, products etc. • Preparing business models • Analyzing the scope and purpose • Decision making Eminenture.com

  6. How Data Warehouse Is Integrated? • The data-integration is done using multiple and heterogeneous data sources as- • Relational databases • Flat files • Online transaction records • Check out- • If consistency is there in naming conventions • If it’s structure is encoded • If its features meet the standard • Lastly, it should be converted in users-format. Eminenture.com Eminenture.com

  7. 3 Models Of Data Warehouse • Enterprise’s data warehouse- • Pan organization is explored. • Subject-specific data is collected. • Data Mart- • It represents corporate data that values to particular group or users. • Its scope is restricted to specific group or independent identity. • Virtual data warehouse- • It is a set of drawn-data based on operational databases. • Not substantial, except few possible summaries. Eminenture.com

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