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Preparing for initiating CRM Adequate/correct understanding of customers  current wants and needs Creating a system for regular  updating and monitoring  Sharing information on customer's wants and  needs across the  organization  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Create an MIS department  Which works 360 degrees Avoid Data redundancy Develop filters  Establish Data  Restrictions Authenticate the user From time to time Data security needs
Importance of database for  implementing CRM  Compatible to Front-end and Back-end Tools (Oracle, Visual FoxPro, VB, VC++) ( Microsoft SQL server, J2EE)  Easy of Connectivity To other applications Affordable Flexible to future  up gradation Based on RDBMS concept Trouble shooting tools To be available within database  Should be able to handle Multiple data types To be compatible to get configured to any brand Of hardware  To be compatible to the Available data mining tools Should be able to  Handle large volumes Of data
Defining data requirements  Type of Data Inflows Structured or  Unstructured data Tools to deal with Unstructured data Volume of data Speed and Accuracy  Of data retrieval  Cost of data requirements
Data Source  Primary  Secondary  Single/Multiple  sources Single/Multiple  sources Application to  Application transfer Application to  Application transfer Automation to  Application transfer Vice-versa Automation to  Application transfer Vice-versa Accuracy/ Authenticity Accuracy/ Authenticity

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Preparing for CRM with Data Security

  • 1.
  • 2. Importance of database for implementing CRM Compatible to Front-end and Back-end Tools (Oracle, Visual FoxPro, VB, VC++) ( Microsoft SQL server, J2EE) Easy of Connectivity To other applications Affordable Flexible to future up gradation Based on RDBMS concept Trouble shooting tools To be available within database Should be able to handle Multiple data types To be compatible to get configured to any brand Of hardware To be compatible to the Available data mining tools Should be able to Handle large volumes Of data
  • 3. Defining data requirements Type of Data Inflows Structured or Unstructured data Tools to deal with Unstructured data Volume of data Speed and Accuracy Of data retrieval Cost of data requirements
  • 4. Data Source Primary Secondary Single/Multiple sources Single/Multiple sources Application to Application transfer Application to Application transfer Automation to Application transfer Vice-versa Automation to Application transfer Vice-versa Accuracy/ Authenticity Accuracy/ Authenticity