Regular people, those without “data” in their title, are central to all data-related work. Without buy-in and contributions from your company’s rank and file, even the cleverest AI-derived model will sit idle and “data-driven decision-making” will just go around in circles. Conversely, costs go down and products get better when people help improve data quality, use small amounts of data to improve their team’s processes, make better decisions, and contribute to larger data science and data monetization initiatives. Yet, recent research confirms that these people are missing from too many data programs, limiting the scale and impact of these efforts.
Your Data Initiatives Can’t Just Be for Data Scientists
Companies need to design projects around the employees who actually use them.
March 22, 2022
Summary.
Without buy-in from your company’s rank and file, even the cleverest AI-derived model will sit idle and “data-driven decision-making” will just go around in circles. Companies need to start seeing regular people as part of their data strategy. Data teams must work with regular people every day, develop a feel for their problems and opportunities, and embrace their hopes and fears surrounding data, then focus on equipping people with the tools they need to formulate and solve their own problems. They should also ask two questions with each data project: 1) Who will this effect? And 2) How can we get them involved as soon as possible?
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