Planning your AI journey? Start by Using AI to Clean Up Your Data

Original article posted to Deloitte’s Business Operations Room:

AI for Data Quality & Analytics

Techniques to help improve the quality of your data for analytics and set a foundation of success in your AI journey.

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Data quality and the case for artificial intelligence (AI)

“I was promised an AI revolution, but all I have is this crummy data.” This fear is top of mind for many managers and business leaders as they analyze and prepare for significant investments in new AI technology. The fact is, amid all the recent excitement around AI, many companies still struggle with foundational data quality, including in core areas such as their product catalog. This challenge is particularly vexing for retailers, fashion brands, and other companies with a large and fast-changing portfolio of products. However, the fundamental problem goes beyond one industry, business model, or type of data. Business leaders worry: What happens if their new AI initiatives and analytics are built on a foundation of bad data?

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