What do we mean by data-driven work?
Data-driven work is all about making better decisions based on reliable, shared insights. That sounds simple, but it does require that relevant data be findable, accessible, and combinable. And that’s exactly where the problem lies.
How Data Becomes Fragmented
In most organizations, data fragmentation isn’t a conscious choice. It’s the logical result of years of development. New applications are introduced, departments choose tools that suit their work, cloud solutions are added, and legacy systems remain in place. Meanwhile, the number of data sources continues to grow steadily: a CRM, a financial system, case management systems, spreadsheets, external data sources, and SaaS solutions. Each system does what it’s supposed to do. But together, they don’t form a cohesive whole. This creates a situation where data is everywhere but rarely coherent.
Why is this so difficult to solve
Fragmentation is insidious. It often doesn’t feel like an urgent problem because each system functions independently. Problems only become apparent when data needs to be combined—when someone asks a question that spans departments, processes, or chains.
It then often turns out that:
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the same data exists multiple times
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definitions differ
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data isn’t updated at the same time
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and no one knows exactly which source is the correct one
This makes it difficult to trust the data. And without trust, data-driven work comes to a halt before it has even really begun.
How fragmentation affects the organization
When data is scattered across silos, every analysis takes time and energy. New insights require manual linkages, exports, and checks. That slows down decision-making and increases the risk of errors. As a result, organizations often fall back on what they know: experience, intuition, and ad-hoc reports. Not because data isn’t important, but because it takes too much effort to do anything meaningful with it.
How organizations tackle this step by step
Organizations that are making progress don’t try to solve this problem all at once. They don’t start by “linking everything,” but with a single specific question.
For example:
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What data do we need to better manage this process?
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Which sources play a role in that?
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And what data needs to be reliably consolidated for that?
That’s how clarity emerges—not by immediately breaking down all the silos, but by establishing connections where they add value. That requires making choices—and technology that can connect different sources without replacing them.
Start small
At Enable U, we help organizations bring together data from different systems without disrupting existing solutions. We ensure that data becomes accessible in a way that aligns with the organization’s needs, processes, and governance. Not by promising that all silos will disappear, but by ensuring that fragmentation no longer stands in the way of insight. This creates a foundation on which data-driven work can grow.
It’s important to start small to demonstrate value. One process, one chain, one question that requires data from multiple sources. If that succeeds, trust grows. And with that trust, the next step naturally becomes smaller.
Data-driven work doesn’t require perfect data landscapes.
It requires connectivity where it matters.
This blog post is a contribution from Enable-U, The Data & Integration Enablers. Enable-U helps organizations securely and reliably connect systems, applications, and data so they can operate in a data-driven way. For more information, visit www.enable-u.nl or stop by the Enable-U booth at Data Expo.
