71% of organizations can't process data fast enough to stay competitive. The data is there, but analytics built for reporting only shows the road behind you. Decision Intelligence adds the view ahead, turning what you see into your next move.
Written for Animal Health leaders

Decision Intelligence
A practitioner's guide
Animal Health
Read how Animal Health leaders are closing the gap between insight and action.
WHAT'S INSIDE
A practitioner's guide: the reference points come from real C&F deployments in Animal Health.
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
Two Animal Health case studies
A standardized, automated deck build that hands analyst hours back to the team, and a digital maturity cycle spanning 20,000 employees and 450 attributes per site.
What it is, how to measure it, and why most analytical programs still don't track it.
Decision Latency: the KPI nobody tracks
Your team has dashboards. They have KPIs, reports and data. But somewhere between the chart and the decision, something stalls.
THE PROBLEM
A sales dip appears on Monday, gets discussed on Wednesday, and isn't acted on until Friday. The situation has moved on.
That gap has a name. Decision Latency is the interval between a signal appearing and the right person acting on it, and in most Animal Health organizations no one is measuring it.
Traditional data and analytics often works like a rear-view mirror: it shows us what already happened, usually with some delay, and helps us explain the past. This is valuable, but not enough when Animal Health teams need to react to changing market signals, customer behavior, product performance or field execution in time to make a difference.
Gartner
of organizations can't process data fast enough to stay competitive
Most analytics explains what happened. The gap to what to do next is where budgets disappear
reference target for the reduction in analyst hours across C&F Decision Intelligence deployments
Stuck at
Decision Intelligence is about moving from passive observation to better decision support: connecting data, interpretation, recommendations, and action so that teams can not only understand the road behind, but also make smarter moves ahead.
From the Field
The reference points in this whitepaper come from real deployments across commercial, manufacturing, and brand functions.
CAGR in the Decision AI investment market
of enterprises plan to adopt Decision Intelligence practices by 2026
It's a pivotal moment for the AH industry not to fall behind thanks to AI-driven technologies. Animal Health organizations now have an opportunity to keep pace with other industries.
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.
BU Head, Animal Health Commercial, C&F
Head of Data Experience Technology Practice, C&F
Written for analytics and commercial leaders in Animal Health who are past the "why data matters" conversation.
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Practical diagnostic framework you can apply to your own organization
Decision Latency, a metric you can start measuring this quarter
Case studies from our work with Fortune 500 Companies
A modular implementation path that doesn't require a transformation programme