"Duffy said the foundation of any data-first strategy is disciplined infrastructure. There are some core precepts that you [must] have present to be able to leverage data, he said. You have to have it in the right spot. It has to be hygienically clean. You have to label it correctly, otherwise, artificial intelligence (AI) won't work. With clean, centralized data, brokerages can stitch together internal information and external signals to detect what Duffy calls exhaust gas or early indicators of future transactions."
"We're under-invested, he said. If you really have a data-first strategy, you better have some data scientists. You better have some other properly educated folks who are sharpening and shepherding the rest of the organization."
"We have to cut through the noise and really understand what the data is telling us about our communities, about equity, about who is still buying and who wants to buy, she told attendees."
Organizational charts and budgets reveal under-investment in data talent and infrastructure. A data-first strategy requires data scientists and other properly educated staff to sharpen and shepherd the organization. Information alone does not create advantage without disciplined execution and understanding of community dynamics, equity, and buyer intent. Disciplined infrastructure requires data to be centralized, hygienically clean, and correctly labeled for AI to work. Clean, centralized data enables stitching internal and external signals to surface early transaction indicators and underused predictive datasets, revealing nuanced opportunities despite national trends and supply constraints.
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