What does the demand cleansing process in Maestro help to avoid?

The demand cleansing process in Maestro is designed to enhance the quality and reliability of data by systematically evaluating and refining demand information. This process helps to avoid excessive edits to individual records, which can lead to inconsistencies and inaccuracies. By implementing demand cleansing, Maestro ensures that any potential issues are addressed before they necessitate repeated or excessive modifications to the records, which could complicate data management and analysis.

The overall goal of this process is to maintain a streamlined dataset that reflects accurate demand signals, allowing users to make informed decisions without getting bogged down by the need to continuously edit or revise individual pieces of data. This contributes to a smoother workflow and more reliable analytics in demand planning. Other options, while relevant to data management challenges, do not directly capture the specific focus of the demand cleansing process as effectively as avoiding excessive edits does.