Director of Digital
Data-Driven Decision Making & Analytics
What You Do Today
Use analytics to measure what's working and what's not. Build KPI frameworks, create dashboards, and ensure the team is making decisions based on data, not assumptions.
AI That Applies
AI-augmented analytics that surface insights proactively — anomaly detection, trend identification, and automated root cause analysis across digital KPIs.
Technologies
How It Works
For data-driven decision making & analytics, the system draws on the relevant operational data and applies the appropriate analytical models. Machine learning models identify the patterns in historical data that most strongly predict the target outcome, then apply those patterns to score new inputs. The output — insights proactively — anomaly detection — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
You stop looking for insights and they find you. AI flags when a metric deviates from trend and hypothesizes why, accelerating the analysis cycle.
What Stays
Analytical leadership. Choosing the right metrics, questioning data quality, and ensuring the team uses data to inform (not replace) judgment.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for data-driven decision making & analytics, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long data-driven decision making & analytics takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your CIO or VP IT
“Which of our current reports are manually assembled, and how much time does that take each cycle?”
They're prioritizing which IT functions to automate
your cybersecurity lead
“What questions do stakeholders actually ask that our current reporting doesn't answer?”
AI tools create new attack surfaces and new defense capabilities
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.