Introducing Chrysalis Consulting Group (CCG): Data Preparation for Financial Operations

In today’s data-driven world, finance and analytics teams are under more pressure than ever. The expectation is clear: deliver accurate insights, faster than ever before, with complete confidence in the numbers.....and make sure you use AI to do it 😀 .

But behind every dashboard, report, or analysis lies a reality that many organizations still struggle with; that data is rarely ready when you need it. It must be prepared; acquired, cleaned, combined, validated, and transformed before it can be used. And for most finance and finance-related teams, this process is time-consuming, fragmented, and often invisible.

That is where I focus my work; The intersection of Data Preparation and Financial Operations.

Who I Am and What I Do

My name is Baba Majekodunmi, and I am the Founder of Chrysalis Consulting Group.

I work with finance and analytics teams to help them optimize financial operations by improving how data is prepared, managed, and delivered for business use. Over the course of my career, I’ve helped organizations solve complex finance data challenges. In that time, I’ve seen a consistent pattern across industries:

• Critical business processes depend on data from multiple systems

• Teams rely heavily on spreadsheets and manual workarounds

• Valuable time is spent preparing data instead of analyzing it

• Trust in the numbers is often harder to achieve than it should be

These challenges are not caused by a lack of effort or talent, they are the result of a missing or underdeveloped data preparation strategy.

The Real Opportunity: Optimizing Data Preparation for Finance

When most organizations think about improving analytics, they look toward dashboards, reporting tools, or advanced analytics. But the real opportunity often in the details. Data preparation is the foundation that everything else depends on.

When done well, it enables:

• Faster reporting cycles

• Higher data quality and trust

• Reduced manual effort and rework

• More time for analysis and decision-making

When done poorly, it creates bottlenecks, delays, and uncertainty. My focus is on helping teams build a practical, scalable approach to data preparation that supports the realities of day-to-day business operations.

A Strategy Built on People, Process, and Technology

Technology is important but it is only one part of the equation. A successful data preparation strategy requires alignment across three key areas:

People

The individuals doing the work—analysts, accountants, operations teams—must be equipped with the right skills, context, and support. These are the practitioners closest to the data and the business problems they support.

Process

Repeatable, transparent processes are what turn one-off solutions into scalable capabilities. Without process, even the best work becomes difficult to maintain, replicate, or trust.

Technology

The tools used to acquire, transform, and share data should enable efficiency—not create additional complexity. The goal is to select and use technology in a way that fits the business need. When these three elements are aligned, organizations can move from reactive data work to a more structured, strategic approach.

Why This Blog Exists

This blog is an extension of my work and a companion to the ideas explored in my book, Data Prep Demystified. I will be sharing perspectives, lessons learned, and practical guidance across a range of topics, including:

• Common data challenges in finance and analytics teams

• The hidden cost of inefficient data preparation

• Real-world examples across industries

• Strategies for improving data quality and trust

• The evolving role of finance professionals, analysts and data practitioners

• How organizations can better align finance and data functions

• I will find time to include AI in here...somewhere 😀

While the industries and use cases may vary, there will be a common theme throughout:

How organizations can build and execute an effective data preparation strategy to optimize financial operations.

A Practical, Practitioner-Led Perspective

Everything I share is grounded in real-world experience. This is not theory for the sake of theory—it is a practitioner’s perspective shaped by years of working directly with data, systems, and the finance professionals responsible for making them work.

Data preparation is not the most glamorous part of analytics, but it is one of the most important, especially for finance.

And when done right, it becomes a powerful driver of operational efficiency, better decision-making, and measurable business value. If you work with data in any capacity whether in finance, operations, analytics, or beyond this space is for you.

More to come.