A Decision Intelligence perspective for Consumer Packaged Goods.

DECISION INTELLIGENCE · A PRACTITIONER'S GUIDE · CPG

Your Dashboards Flagged the Drop. Who Acts on It?

71% of organizations can't process data fast enough to stay competitive. Your CPG team has the data and the dashboards. The slow part comes after: working out what caused the change, and getting it in front of someone who can do something about it. Decision Intelligence shortens that stretch.

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Read how CPG leaders are closing the gap between insight and action.

WHAT'S INSIDE

What You'll Walk Away With

A practitioner's guide: the reference points come from real C&F deployments in CPG.

A name for the gap costing you money

The D.A.T.A. framework shows exactly where decisions stall in your org, across four phases: Observe, Detect, Act, and Learn.

Diagnose whether your team is actually at Stage 3 or quietly stuck at Stage 2, and what that means for your roadmap.

The 4-stage maturity model

A CPG case study

An eighteen-second report brought down to about one, giving fifty financial analysts real-time Actual vs. Forecast analysis.

What it is, how to measure it, and why most analytical programs still don't track it.

Decision Latency: the KPI nobody tracks

A promotion underperforms on Monday, gets discussed on Wednesday, and isn't acted on until Friday. By then the promo window has moved on and the shelf belongs to someone else.

THE PROBLEM

You've Invested in Data.
You Haven't Closed the Loop.

That gap has a name. Decision Latency is the interval between a signal appearing and the right person acting on it, and in most CPG organizations no one is measuring it.

Traditional data and analytics often works like a rear-view mirror: it shows what already happened, usually with some delay, and helps explain the past. That has real value, though it falls short when CPG teams need to respond to shifting demand signals, retailer performance, pricing moves or supply disruption in time to change the outcome.

Stuck at Reporting?

Gartner

of organizations can't process data fast enough to stay competitive

71%

Most analytics explains what happened. The gap to what to do next is where budgets disappear

"why"

40%

reference target for the reduction in analyst hours across C&F Decision Intelligence deployments

Decision Intelligence moves past passive observation into decision support: connecting data, interpretation, recommendations, and action so teams can act on what they see while it still changes the outcome.

Your team has dashboards. They have KPIs, reports and data. Somewhere between the chart and the decision, something stalls.

C&F works within CPG, bringing deep industry expertise to every engagement

From the Field

The reference points in this whitepaper come from real deployments across commercial, supply chain, and finance functions.

15-18%

CAGR in the Decision AI investment market

75%

of enterprises plan to adopt Decision Intelligence practices by 2026

By the time everyone agrees what the data means, the promotion window has closed and a competitor already has the shelf.

Decision Intelligence is not a disruption of Business Intelligence. It is its natural evolution. The window to lead is open; the window to catch up is closing.