Managing the New Currency: Developing a High-Performing Data Management Organization

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More companies are investing heavily in cutting-edge technologies like machine learning, artificial intelligence and big data processing to help them harvest, groom and apply data to the correct use case for maximum value. So why do studies of business intelligence (BI) implementations repeatedly indicate that 60 to 85 percent of BI projects fail? This article discusses a few things organizations should consider when analyzing their data management organizations (DMOs), tools Protiviti uses with clients to address data quality challenges, and steps organizations must follow in order to implement the changes they desire.

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