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· Data Mining Techniques Assingment

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Website iconData Mining Techniques Scoring Guide.
Databases are the building blocks of effective customer relationship programs and a means of identifying new prospects. When planned and executed effectively, database-driven marketing will enhance an organization's integrated communications program.

Step 1:Conduct research on the organization:

  • Research the organization chosen (Toyota) to identify and examine their marketing objectives.
  • Identify and examine how the organization built and structured their database-marketing plan.
  • Identify and examine how the organization's databases and data warehouses work together to identify customer buying patterns.
  • Identify techniques the organization is using for searching databases and applying data mining techniques.

Step 2: Conduct research related to the following:

  • Various technology tools used for the purpose of data mining.
  • Ways to measure effectiveness of data mining techniques through use of tools (such as search engine metrics).

Step 3:

  • Analyze the methods organizations can use to capture data, communicate with the market, and measure results.
  • Recommend how the database-marketing program of the organization can be converted into a more successful marketing program (for instance, a direct mail program or how to leverage social media to communicate a new or existing program).
  • Recommend strategies the organization might use to better integrate data mining techniques to meet their marketing objectives.
  • Recommend ways to measure the effectiveness of data mining techniques through the use of tools.
  • Written Requirements
  • Written communication: Writing is free of errors that detract from the overall message.

APA formatting: Resources and citations are formatted according to APA (6th Edition) style and formatting. Be sure to write in 3rd person to receive credit for APA writing.

Number of resources: Minimum of 1-2 resources (one must be from the Capella library and other reputable resources as listed in the course expectations).

Management Theories, Management Studies

  • Category:- Management Theories
  • Reference No.:- M91765679

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