Vital Concepts of Data Mining

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Vital Concepts Of Data Mining
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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.

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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

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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

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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

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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 its structure is encoded
• If its features meet the standard
• Lastly, it should be converted in users-format.

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3 Models Of Data Warehouse

• Enterprises 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.

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