Five Lessons From a Year of Data Analytics at Scale
A look at how Data Analytics is reshaping priorities for enterprise technology leaders this year.
Security and trust are no longer a final checkpoint. For Data Analytics, they are design constraints from the first sprint, with compliance, risk and engineering reviewing decisions together rather than in sequence.
Looking ahead, analysts expect spending on Data Analytics to keep rising through 2027, with the biggest gains going to organisations that pair automation with upskilling. The message from the leaders we spoke to was consistent: start small, measure honestly and scale what works.
Across the enterprise, Data Analytics has moved from a pilot project to a board-level priority. Leaders say the shift is less about the technology itself and more about the operating model that surrounds it: clearer ownership, shorter feedback loops and measurable outcomes.
In conversation with PrimeScope, executives described how Data Analytics programmes now start with the customer problem and work backwards. That discipline, they argue, is what separates the teams that scale from the teams that stall after a promising demo.