A methodology will be required to control how data flows into and out of Big Data solutions. It will need to consider how feedback loops can be established to enable the processed data to undergo repeated refinement, as shown in Figure 3.5. For example, an iterative approach may be used to enable business personnel to provide IT personnel with feedback on a periodic basis. Each feedback cycle provides opportunities for system refinement by modifying data preparation or data analysis steps.
Figure 3.5 Each repetition can help fine-tune processing steps, algorithms and data models to improve the accuracy of results and deliver greater value to the business.