This really nailed something we've seen as we've studied, worked in and are developing solutios in the space. With SMB leaders we are talking to: they’re not lacking dashboards — they’re lacking clarity. The "information supply chain" metaphor is powerful. Most tools stop at surfacing data, but what business leaders need is contextualized, decision-ready information that reflects how their org actually works and what they should actually do.
One addition I’d make: we think incorporating predictive modeling into that supply chain can greatly enhance the story. Once key metrics (like revenue, churn, margin) are defined and trusted, adding forward-looking indicators helps teams move from “here’s what happened” to “here’s what’s likely to happen — and why.” It closes the loop between insight and action.
Curious how others are enabling that predictive layer without requiring heavy data science resources. Anyone experimenting with metric-level forecasting tools? Great article, thanks for sharing it.
This really nailed something we've seen as we've studied, worked in and are developing solutios in the space. With SMB leaders we are talking to: they’re not lacking dashboards — they’re lacking clarity. The "information supply chain" metaphor is powerful. Most tools stop at surfacing data, but what business leaders need is contextualized, decision-ready information that reflects how their org actually works and what they should actually do.
One addition I’d make: we think incorporating predictive modeling into that supply chain can greatly enhance the story. Once key metrics (like revenue, churn, margin) are defined and trusted, adding forward-looking indicators helps teams move from “here’s what happened” to “here’s what’s likely to happen — and why.” It closes the loop between insight and action.
Curious how others are enabling that predictive layer without requiring heavy data science resources. Anyone experimenting with metric-level forecasting tools? Great article, thanks for sharing it.