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The Data Analysis Path to Success

February 3, 2017

To get the answers you need for successful decision making, it’s important to follow all the steps of data analysis

By following this analytical path, your organization can benefit in a variety of ways.




It can help you better understand your situation, consider options, predict what will happen, and take actions to achieve maximum results. More specifically, you can use it to acquire, grow and retain customers, reduce costs, lessen risk and fraud, and improve efficiency. 


  1. Planning
    Beginning with the end result in mind, the first steps are to set objectives, identify the data sources, and carefully craft the process.

  2. Data collection
    Data is collected through surveys, online activity, call centers, and more.

  3. Data access
    Data is brought in from available sources, using ODBC or direct file input into SPSS.

  4. Data management and data preparation
    Data is reviewed for suspicious, invalid, or missing cases, variables, and data values.

  5. Data analysis
    This is where the data gets examined, tested, explored, and transformed. Patterns are identified, hypotheses are tested, and information is extracted.

  6. Reporting
    Data is summarized, put in tables and charts, and ready for consumption.

  7. Deployment
    Data, reports, and procedures are distributed to end users globally, but with central management of interaction and access.

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