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From Reengineering to Reimagining: Why Data Is the New Process
In the 1990s, business process reengineering promised a revolution. Companies tore apart workflows, rewrote job descriptions, and redesigned entire organizations to achieve radical improvements in cost, speed, and quality. It was all about process maps and hierarchies, how information moved from one department to another, and how people could do their work more efficiently. The engine was the process itself, and data merely fueled it.
Today, the relationship has flipped. Data isn’t just supporting the process; it has become the process. Businesses no longer run only on documented workflows but on streams of real-time information. Decisions are increasingly made not by following predefined steps but by interpreting what the data reveals at that moment. In this sense, modern reengineering is less about changing job titles and more about understanding what the numbers are saying.
What’s different now is where the redesign begins. Instead of starting with an organizational chart, forward-looking companies begin with their metadata, the connective tissue that shows how data flows across systems, teams, and customers. This approach makes it possible to diagnose where insight breaks down before processes do. Once businesses understand those data pathways, actual improvements can follow naturally.
This shift raises a key question: are we still designing workflows, or just reacting to dashboards? Many organizations find themselves trapped in “analysis mode,” where the process becomes a constant reaction to new data points. The challenge is to use insight not just to monitor performance but to shape new ways of working. The companies that get this right don’t manage data as a byproduct of operations; they treat it as the framework around which operations evolve. In today’s business environment, to reengineer effectively means to reimagine: through data first.
