• Identify gaps

• Identify suspect/defective data

• Create rules to replace missing/defective data

• Assign directions to power flows

• Identify the causes of suspect data through common patterns

The project will also look at what other information could be incorporated in to the ‘Big Data’ analytics to further validate data quality.

• Produce repeatable processes that can accurately identify the conditions set out above
• Produce lists of actions for the appropriate business units regarding any defects found
• Produce recommendations to improve time series data quality based on the outcomes of the project

• Accurate identification of the conditions set out in the scope

• Successful correction of defects found

• Improvements to business processes based on recommendations from the project