Saving data team time with data integration and preparation platforms

Integration and data preparation consume more data team capacity than any other activity. Despite continued investment in analytics and AI, most organizations are constrained by time-consuming work required before analysis can begin. Nucleus Research analyzed 13 studies across healthcare, financial services, manufacturing, and retail to measure this overhead. Organizations spend 40 to 80 percent of data team time connecting, cleaning, and transforming data instead of analyzing it. Deployments that addressed the integration layer with data integration and data preparation solutions recovered that lost capacity and reduced ongoing infrastructure costs by 43 to 76 percent. The impact extends across every part of the data team. To realize higher returns from analytics and AI, organizations should prioritize fixing integration before investing in tools that depend on it.