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Your factory is a high-performance engine and information is the fuel. You can upgrade the engine but it won't deliver more performance if your fuel line is clogged. You need to clean the fuel line. The traditional approach is to connect legacy software programs using data exports and imports. But better still, business process automation starts with built-in data continuity—a system where the sales and operations data are unified—not parallel representations that require

Data integration is often treated as a necessary evil—a technical challenge to be solved after the fact. But this framing misses a fundamental insight: Data only needs to be integrated when it's fragmented in the first place. Data integration is reactive: stitching together information that lives in different programs and formats. It may work, but it’s slow and error-prone. Every time you shuttle data between systems, it's an opportunity for data to get out of sync, details t

The architecture, engineering, and construction industry faced a coordination crisis. Multiple parties—architects, engineers, contractors, suppliers—all needed access to the same project information, but they were working from different versions of the truth. Drawings were scattered across email, specifications existed in multiple formats, changes weren't communicated consistently, and rework was inevitable. The solution was the Common Data Environment (CDE): a single, author

Second-order Effects in the Cabinet Industry The promise seemed straightforward: new CNC machines and design software would let cabinet...