Data remains the silent engine behind every AI breakthrough. Too many organisations possess extraordinary information assets but struggle to extract their transformative potential.
Moving beyond simple data collection to meaningful value creation requires strategic approaches that bridge technological implementation with business outcomes.
The data maturity paradox
HPE’s research reveals a striking disconnect — while 93% of IT leaders believe their infrastructures can support AI traffic, fewer than 60% can fully manage the data preparation fundamentals critical to success.
Only 7% of organisations have achieved real-time data mobility, with barely a quarter establishing proper governance models. This maturity gulf creates a competitive vulnerability that forward-thinking companies can exploit.
Unlock value through architectural cohesion
Siloed data remains the enterprise’s nemesis. With just 37% of organisations establishing shared data models with centralised intelligence, most companies still wrestle with fragmented repositories.
That finding mirrors earlier findings where 34% reported data isolated in individual applications or locations. The solution requires an overarching architecture that delivers unified access to real-time information regardless of location.
Focus on data preparation fundamentals
Before contemplating sophisticated AI applications, master the four stages of data preparation: accessing, storing, processing, and recovering. Moving beyond the 6-in-10 organisations that struggle with these basics creates immediate advantages.
Your information framework should support continuous data movement between edge environments, on-premises systems and cloud platforms with minimal friction.
Embrace hybrid workflows for practical results
The most successful organisations adopt hybrid cloud models that provide both framework flexibility and governance rigour. That approach enables you to keep sensitive datasets under tight control while still leveraging enterprise-wide access. A hybrid model allows specialised AI processing environments optimised for different phases of your data lifecycle — from collection to analysis to deployment.
Your data architecture does more than enable AI, becoming the foundation for comprehensive business transformation. The organisations that thrive will transform their information from passive assets into dynamic catalysts for innovation. Talk to us us about how we can help you with unleashing the power of your untapped data.
