Finance is taking over analytics

How CFOs feel very soon after taking over the analytics org

I was speaking to a CFO recently. They exclaimed:

“You know, I can do accounting. I can do FP&A. That’s how I got to this seat.

But what there isn’t enough material on - the newer areas the CFO is taking over…particularly analytics.

I’m the proud new owner of the company’s “business intelligence” group. And holy shit. No one ever taught me what to do.”

This reflection hit me like a ton of bricks, because as a CFO I too took over the analytics department at my last company. It was originally built under engineering, but we got to a point where it would benefit the masses to have all our data in one place, across finance, product, and sales data.

We'd established that my org was the best location for it to sit in the company (IT was overly systems focused, Product wasn't financially focused enough).

And boy did I have a ton of imposter syndrome.

Yes, I enthusiastically put my hand up to say "Gimme that!" … but deep down inside I was thinking "How do I drive this car?"

In fact, I thought SQL was referring to the second God Father or Jaws movies.

  • I couldn't (and still can’t) code.

  • I couldn't string together data pipelines.

  • I didn't know the difference between FiveTran and DBT Labs (lucky for me, they're now one!)

But… I could def tell a story with data if you gave me enough rope. I could position the numbers within our company narrative.

The question became: how do both me and my team move up the analytics escalator?

The following is a guide for finance leaders who are either building out or taking over the analytics org at their company.

It's written from the perspective of someone who's an Excel guru, but does not have a degree in machine learning.

Here’s what we’ll cover today:

  • What is / is not analytics

  • The Levels of the analytics escalator

    • Level 1: Descriptive Analytics

    • Level 2: Diagnostic Analytics

    • Level 3: Predictive Analytics

    • Level 4: Prescriptive Analytics

  • Sequencing your People, Process Systems

Defining Analytics

Analytics is not:

  • Variance analysis.

  • An automated report emailed to everyone each Monday at 10AM.

  • Building a dashboard.

Speaking of that… dashboards are…basic.

Analytics:

  • Is used for decision making

  • Requires some element of mathematics, not arithmetic

  • Can help you predict what is to come

Let’s board the analytics escalator.

First stop: Descriptive Analytics

logo

Subscribe to our premium content to read the rest.

Become a paying subscriber to get access to this post and other subscriber-only content.

Upgrade

Your subscription unlocks:

  • In-depth “how to” playbooks trusted by the most successful CFOs in the world
  • Exclusive access to our private company financial benchmarks
  • Support a writer sharing +30,000 hours of on-the-job insights

Reply

or to participate