Data Analytics Enablement Planning: Where Strategy Finally Meets Reality

Data Analytics Enablement Planning appears to be like other strategic planning efforts at first glance. But there’s a twist, and it’s the reason many analytics strategies quietly fail.

Most strategic plans, whether for an entire bank or a single function, follow a familiar structure:
Where we are. Where we want to be. How we get there.

Simple. Logical. Necessary.

But once senior leaders begin to articulate those three ideas, things slow down. The current state isn’t as clear as expected. The future state isn’t aligned. And the “how” quickly turns into a mix of assumptions, legacy decisions, and optimism.

This is where experienced partners matter. Every bank operates differently. Go-to-market strategies vary. Culture matters. And analytics doesn’t live in a vacuum; it cuts across technology, people, and decision-making. That’s why engaging with partners who know the industry is critical for planning efforts that need to hold up under executive scrutiny.

The Twist Most Plans Miss

I joined Capital Performance Group’s Strategy practice to support its strategic initiatives, with a particular focus on data analytics. The team strongly aligns with my belief in transforming data into high-impact insights that drive meaningful, measurable value. This approach enables financial institutions to enhance performance, foster a data-driven culture, and achieve sustained strategic growth by effectively using data.

Once I began this work, I found myself reflecting on strategic planning efforts I’ve supported throughout my career, including one early role leading the consumer database marketing function at Bank of New York.

At the time, I was fortunate to work for exceptional leaders and mentors. One of them, Bob D., pulled me aside one afternoon to review a strategic plan I had built for the function.

This was classic Wall Street. Our offices were at 48 Wall Street, an old, worn building where teams worked shoulder-to-shoulder, and someone still came around once a week to shine shoes right on the floor. The leadership team was sharp, demanding, and deeply practical.

Bob looked at my plan and said something that stuck with me:

“This works… but you also need to think about it in terms of strategy, tactics, and tools.”

This was long before Simon Sinek popularized the language of why, how, and what. But the concept was the same. Strategy sets direction. Tactics translate intent into action. Tools enable execution.

I rebuilt the plan using that construct. It clarified priorities, exposed gaps, and ultimately helped modernize a function that needed real change, not just a good deck. I’ve used that framework throughout my career ever since.

From Two Frameworks to One Page

Fast forward to my work with CPG, and something clicked.

Most analytics planning efforts rely on the first three questions:

1. Where are we today?

2. Where do we want to be?

3. How do we get there?

They’re necessary but incomplete.

By combining those questions with strategy, tactics, and tools, we co-developed a 3×3 planning grid that brings structure, clarity, and honesty to analytics enablement planning.

I’m a firm believer that effective plans require depth, interviews, and rigorous analysis, but they also need to land on one clearly articulated page. If leadership can’t see the story at a glance, execution will suffer.

This 3×3 grid has become the foundation for early client engagements, pairing CPG’s strategic planning expertise with decades of real-world data and analytics experience.

Why Data Analytics Enablement Is Different

Data Analytics planning isn’t just about defining KPIs, selecting platforms, or approving roadmaps.

It requires:

• Executive interviews that surface real priorities

• Transparency into what’s working and what isn’t

• A realistic assessment of operating models and talent

• An honest look at past investments and adoption

• And critically, analytics usage, even when it’s never been measured before

That last point is where many organizations hesitate and where the biggest breakthroughs happen.

Banks don’t lack data analytics strategies. They lack enablement strategies.

Without understanding how analytics is actually consumed by whom, how often, and to what effect, even the best plans remain theoretical.

Turning Strategy into Impact

The 3×3 Data Analytics Enablement Grid works because it forces alignment:

• Between ambition and reality

• Between strategy and execution

• Between investment and adoption

It gives leadership teams a shared language and a clear way to identify gaps, overlaps, and priorities without oversimplifying the underlying complexity.

If your organization is serious about moving analytics from important to impactful, planning must go beyond vision statements and tool inventories.

That’s where enablement begins.

To learn more, please reach out to me here.