Know your Numbers 2: How to Build Trust For Your Board Meeting
Gabriel Marechal
2/19/20252 min read


Most Common Questions on Data availability and accuracy
Q1 board meetings got the stress hives popping up already?
Well, Iโm here to help (with the stress anyway, maybe see a doc about the hives part?)
Here is part 2 on building trust with external stakeholders.
And this one is around what they need to know about your revenue data, its availability, as well as accuracy checks.
Yup, weโre dealing with annoying potential discrepancies.
Against the wrong metric or at a sensitive time in the meeting, one unexplainable number can potentially torpedo the confidence building in the room.
So how do you save face and come back from potential variations in reports or processes that open you up for manual error?
First, donโt pretend your processes leave zero room for error (especially if they involve spreadsheets! ).
Instead ๐๐๐๐ข๐ฅ๐ presenting the numbers, understand and be prepared to answer the most common questions I hear in boardrooms about the data itself:
โ How recent is this data?
โ How soon can we get the data we requested? Do we have direct access to reports and dashboards or have to wait for it to be exported and then (hopefully quickly) manipulated by Finance?
โ Is the data exported outside of its database and what is that process like?
โ What guardrails are in place to ensure that all fields are being pulled properly?
And last, but certainly not leastโฆ
โ Explain the variation in [X metric] between two monthly reports or exports
Itโs not about being able to say your numbers are indisputable. In fact, doing so will likely make any small error, even just a typo on a slide, seem even more egregious.
Your external stakeholders, however, DO need to understand that youโve done your due diligence in reducing data variability.
That means, top-down, there has been smart decisions made around data structures. And the processes in place to ensure data integrity are both ๐ฐ๐ผ๐ป๐๐ถ๐๐๐ฒ๐ป๐๐น๐ and ๐บ๐ฒ๐๐ต๐ผ๐ฑ๐ผ๐น๐ผ๐ด๐ถ๐ฐ๐ฎ๐น๐น๐ applied (and best-case scenario, ๐ฎ๐๐๐ผ๐บ๐ฎ๐๐ฒ๐ฑ wherever possible to reduce chances of human error).
So if there is a ~ questionable ~ part of your calculation process that youโre hoping youโll be able to sweep under the rug, itโs time to bring it to the light and give it a good once over.
Itโs always better to get ahead of it than have it called out unprompted.
Because it will be.
Itโs not a question of if, but when.
Iโve seen it happen and itโs not pretty.
To continue with the preparatory work, Iโve got part three of this series coming up next week.
Time to gaze into your crystal ball, because itโs all about looking into the future ๐ฎ !
ForecaaS Software
The Recurring Revenue Specialists for Salesforce
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