Executive Summary
You need reliable numbers for important financial decisions, but large data consultancies can be slow and costly, while smaller partners can feel like a bit of a bet.
Spending a significant budget on a long strategy document from junior analysts, with no real improvement in your data. You lose time and money, and end up with the same unreliable reports.
You don't have to choose between a large team and an unproven individual. A senior, hands-on person can provide the strategy and also do the practical work, delivering a solid data foundation in weeks, not quarters.
Choosing between a large firm and a smaller one
As a CFO in a growing business, you're always balancing risk with the need to move quickly. This is especially true when it comes to sorting out your data. The board is often reassured by the name of a large, well-known consultancy. It suggests a safe, accountable process. The trouble is, the way they work doesn't always fit with the pace of a company that's scaling fast.
On the other hand, a small firm or a freelancer promises speed and a lower cost. They can be nimble, but you can become very dependent on one person, and they might not have the experience to build something that will last. It can feel like you're stuck between paying a fortune for a big name that moves very slowly, or taking a chance on a smaller partner who might fix one problem but miss the underlying issues.
I see this quite a lot with companies at the Series B to D stage. They have the budget for a major firm, but they need to operate at the speed of a speedboat. The two just don't mix well. You've likely moved your systems to the cloud and hired good engineers, but if the underlying process is messy, all you've done is move the mess. If a process is broken, automating it just means you get the wrong answer faster.
The typical large consultancy engagement
In my experience, with a large firm, the senior partner who sells you the vision isn't usually the one who delivers the project. The team that turns up on Monday is often made up of bright, hard-working people who have only recently graduated. They are learning on your time and your budget. Their main output is often not a working dashboard or a clean set of metrics, but a well-presented slide deck that tells you what you already knew was wrong.
They might spend months in 'discovery', talking to people and mapping out how things work. The result is a strategic roadmap that is, in theory, perfectly sensible. But it's like an architect's blueprint without any builders. The firm rarely gets involved in the practical work of building the reports in Looker, defining the metrics in code, or training your people. They advise, they document, and then they leave you to handle the implementation. This isn't a path to a coherent CFO Data Strategy; it's a recipe for an expensive document that sits on a shelf.
The real cost here isn't just the fee. It's the lost opportunity of spending six months without getting a single number you can trust. While they are working on their presentation, your team is still arguing about how to define an 'active user' and pulling data into Excel because they don't trust the system.
A third option: the hands-on senior expert
There is another way of looking at it. Instead of choosing between a large, slow-moving team and a single freelancer, you can work with a senior Reporting Architect. This model is about being very focused. We don't try to solve every problem at once. We find the most important business need, whether that's reliable Financial Reporting for the board or simply ending the debates between Sales and Finance about whose numbers are correct.
Unlike a large team, we are practitioners. We don't just advise you on how to build a semantic layer; we get into the code and define the metrics. We don't just recommend you consolidate your dashboards; we review what you have and build the core C-level dashboards ourselves. This is closer to hiring a Fractional Data Lead than it is to outsourcing a project. It's a partnership, designed to build both the system and your own team's skills at the same time.
By focusing on the architecture first, we make sure the solution can grow with the business. The aim is to build a Single Source of Truth that everyone can rely on. This changes the conversation from 'Is this data right?' to 'What should we do, based on this data?'.
This approach requires your involvement
This model isn't a black box where you hand over the problem and wait for a solution. It requires more of your time at the start than a typical consultancy project. A senior architect will need to work directly with you and your key people to write down the business logic. We need to understand the history and the reasons why Finance and Marketing might define 'revenue' in different ways.
Fixing data often involves a bit of political engineering as much as data architecture. It means having some frank conversations and making decisions that everyone agrees to stick to. The trade-off is that you might move a little more slowly for the first few weeks, in order to move much, much faster for the next few years. This is what's needed to build something that lasts, rather than a temporary fix.
Ultimately, this approach is less risky. Instead of a large upfront payment for a strategy document, you get a working, valuable system within the first few months. You see the results, your team starts to trust the data, and you finally have a solid foundation on which to build your Data Team Strategy for the long term.