Enterprise CPG companies invest millions in analytics platforms, dedicated data science teams, and custom BI environments. Mid-market brands — the ones doing $50M to $500M in revenue — often can’t justify that level of investment. But they still need the same quality of insights to compete.
The good news is that the gap isn’t about technology anymore. Cloud-based tools have made enterprise-grade analytics accessible at a fraction of the cost. The real gap is in how data is structured, interpreted, and translated into action.
In this article, we explain how mid-market CPG brands can build an analytics capability that rivals much larger competitors — without the headcount or infrastructure overhead.
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