IVI Framework Viewer

Representative POMs are described for Data Processing at each level of maturity.

2Basic

• Practice

  Identify and select the appropriate basic techniques, tools, and methods and use them to process the data.

  Outcome

  Data analytics starts to identify the appropriate methods and techniques to process data.

  Metric

  Number of tools, techniques, and methods used by data analytics.

3Intermediate

• Practice

  Standardize on a set of tools, techniques, and methods for data analytics.

  Outcome

  Data analytics uses a standard set of methods and techniques to meet its goals and objectives.

  Metric

  Percentage standardization of the tools, techniques, and methods used by data analytics.

4Advanced

• Practice

  Use experimentation to try out advanced tools and techniques to reduce processing times and costs, while meeting or exceeding expectations for data analytics.

  Outcome

  Data analytics uses advanced methods and techniques to meet and often exceed its goals and objectives.

  Metric

  Percentage of data analytics goals and objectives that are exceeded.

5Optimized

• Practice

  Carry out research and incorporate feedback from across the business ecosystem to continually improve the processing of data.

  Outcome

  Research and feedback drives the adoption of new techniques and methods.

  Metric

  Percentage improvement in data processing (cost, time, quality) per year.