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77% of data and analytics professionals say data-driven decision-making is the top goal for their dataprograms. Data-driven decision-making and initiatives are certainly in demand, but their success hinges on … well, the data that supports them. More specifically, the quality and integrity of that data.
Data-driven decision-making has never been more in demand. A recent survey found that 77% of data and analytics professionals place data-driven decision-making as the leading goal for their dataprograms. And yet less than half (46%) rate their ability to trust data for decision-making as “high” or “very high.”
The Importance of Data Integrity in Uncertain Times To better understand how businesses are adapting to the new normal, Precisely partnered with Drexel University’s LeBow College of Business to survey more than 450 data and analytics professionals from around the world about their current dataprograms and priorities.
So there’s been a lot of investment made and massive data initiatives that had a lot of promises and in many circumstances over-promised and under-delivered. We actually broke down that process and began to understand that the datacleansing and gathering upfront often contributed several months of cycle time to the process.
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