Finance in 2020 — Robots in the Dark
Last week, I got a call from Eric Krell, who also blogs in this space for Business Finance. He had been hired by a professional association to research the question: What will the finance function look like in the year 2020? He figured that because I have spent years writing about the role and people of finance, I’d make a good mark.
I do not opine about finance in the cloud and that sort of thing. But I do, always, wonder about finance/accounting people and their skills sets and how they evolve in response to changing business conditions and investor appetites for risk and reward.
What I now see is evidence of bifurcation: the analytical types in one corner and the transaction process-owners in the other. The analytical types are the darlings these days: stroked by the higher ups for their innate brilliance as they ply analytics — models, metrics, swim lane diagrams — to uncover the granular drivers of profitability.
Take, for example, Dave, a smart and cheerful fellow who works for a giant conglomerate that makes everything from specialty tools to motion control sensors. He had been assigned to drive a detailed cost analysis to shed light on the true economics of an industrial sale. He explained how he not only had discovered hidden cost drivers but had created a set of online calculators that the sales team could use when negotiating prices, payment terms, and payment options with customers. Among other things, these tools helped to identify and adjust for differences in payment habits in different regions. So, European customers might have to pay a bit more than U.S. customers because they typically take longer to pay their bills. Common sense, for sure. But the neat trick here is that Dave was able to build and deploy a handy model used with the click of a mouse that institutionalized financial discipline across the enterprise.
Fast-forward to 2020
We should expect the analytical types like Dave to become increasingly specialized in their knowledge and reach in coming years. Whether deep into hedge accounting, global tax rate forecasting, risk pricing, or modeling the incremental growth in product profitability, finance’s analytical specialist will help the CFO turn over every rock looking for another drop of economic profit. With nobody predicting a return to robust revenue growth any time soon, this hunt will surely remain a top priority.
Are there downsides to finance specialization? That’s a topic I’m trying to sort out — and I’d love to hear any and all ideas you may have. It’s tempting to think about analogies to the field of medicine, where specialization has delivered clear positives (mind-boggling breakthroughs in disease treatment options) but also negatives, such as spiraling costs.
I also wonder about where tomorrow’s CFOs will come from if all the young stars become specialists. Will their mentors remember to push them into leadership development training? What about the ability to read and influence people, those core social skills so vital to the modern cross-functional collaborator?
Meantime, what will become of the people who manage the engine rooms of financial transaction processing? I recall Greg Hackett in 1995 declaring, “Ten years from now, financial transaction processing will be a lights-out operation!” He was a bit early with that prediction, but I suppose it’s not too far-fetched to imagine financial transactions in 2020 being done in the dark by server robots. ###







May 28th, 2010 at 12:50 pm
This is a fascinating picture of where finance is going, if a bit scary (the robots part!) But I guess at least if the bots take over it will free up finance pros to work on the more interesting stuff.
PS what’s a swim-lane diagram?
June 4th, 2010 at 10:13 am
Mary,
Provocative thoughts. I too was interviewed by our colleague BF bogger, Eric Krell; and my observations for him somewhat echoed yours. I view going forward that competencies with business analytics may be one of the few remaining sustainable competitive advantages. Today Michael Porter’s commonly accepted generic strategies are vulnerable to fast moving competitors.
My concern is a “wall” between an organization’s IT and its business users. IT likes standardization. They might say, “We own the data and if If you want a report, tell me and I write a program for you.” In contrast, experienced business analysts rely on exploration. They require easy and flexible access to data and the ability to manipulate it. They want more than data mining like trying to find a diamond in a coal mine. They speculate a hypothesis and then continually test and adapt their models based on what they learn. They are more “confirmatory”.
Can skilled finance business analysts become promoted to CFOs? Yes. They have developed skills related to improving the business.
Can “rule-based” decision support (with manual overrides) result in somewhat robotic behavior? Sure. Why not? Airline pilots use auto-pilot and then rely on feedback dials and alerts to make adjustments. They use flight simulators to test options.
The upside for both IT and the CFO function is this is their opportunity to truly add the economic value that has been so widely written about. Don’t just count the beans. Grow the beans.
Gary
Gary Cokins, SAS
November 19th, 2010 at 2:06 pm
What I have seen so far as companies split the accounting from the analytics, is that the button pushers either don’t have the knowledge to solve issues where things don’t match or fit the pattern OR they get bored with doing the same thing over and over. The bored ones don’t stay leaving companies to constantly staff those positions over and over. The less knowledgeable ones don’t get the support/training the need to resolve issues so they stay on the balance sheet and grow from small problems to big ones. I’ve also seen the analysts not have the background to research and solve issues. The data is the data and it is always correct. Unless we figure out a way to either combine these positions or make paths to grow from the accounting to the analyst role and the training that needs to go along with it, I forsee inaccurate financials. Reobotics only go so far. We need professionals who understand what needs to be done when there are exceptions to the rules.
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