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Data Engineering

The decay of manual excellence

High-quality data is often a point of pride for any company collecting them. In a recent engagement, the client had built a reliable database through a rigorous, labor-intensive process where mid-level staff reviewed every entry made by junior analysts. Even the most careful manual process eventually hits a wall: the velocity of information. In investments, data ages rapidly, and a manual team cannot scale their output to keep pace with the market without a linear increase in headcount.