Inside PivotXY: How an economist’s eye turns real‑time data into board‑level foresight.

Meet Nick Malinowski, the economist behind the code.
By
Dave Grimm
5 min read
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“We are living in an unparalleled time in human history where you can access the history of the world’s financial data in near real-time. The speed and accuracy of this unprecedented access to data is a chance that no business leader should miss.”

That statement from Nick Malinowski, a PivotXY Product Economist, captures the shifting landscape for corporate strategy teams in a data-driven world. They know they need updated analytics to model capital tradeoffs, and they know their competitors are finding solutions. But where to turn for the right tool?

You turn to the experts. Nick spent a career turning theory into profit‑driving practice — and he continues to push toward that North Star at PivotXY. His résumé spans the Universities of Pennsylvania and Denver, the U.S. federal government, a master’s in International Economics, ongoing doctoral research in Energy Economics at Colorado School of Mines, and lecture halls from the London School of Economics to EBS Geneva.

He’s part of a team that is building a deep understanding of proven economic principles into every line of PivotXY code.

Why economics belongs at the center of strategy software

Most strategy suites bolt analytics onto accounting data. PivotXY flips the order: Micro‑ and macro‑economic principles come first; visualizations come later. Nick applies QA/QC with an economist’s diligence — every algorithm must be fundamentally grounded in mathematical and economic principles before it ships.

From spreadsheet marathons to seconds‑fast insight

Nick professes to have “lived in the trenches of Excel.” Manually stitching together data from reams of public filings could swallow weeks. PivotXY’s proprietary approach to scouring the dataset changed the game: Any financial statement line item about any U.S. public company from any year since 1895 — delivered in seconds. “I was blown away by the speed and accuracy of the financial‑data retrieval component,” he said.

That velocity matters when a sudden Fed statement, cyber‑risk rule, or climate regulation hits the tape. Your finance team can stress‑test exposure before markets close, not after earnings season. “A tool such as ours is a vital piece to higher order strategic and executive decision-making,” Nick said.

“Generative AI and deep learning methodology is changing the landscape of not only the business world but the world we live in at-large. As an economist, I have a particular perspective on how AI-enabled and enhanced services and technologies can improve upon traditional business processes and the financial services realm.”

An economist’s advice for the C‑suite

Deep‑learning models excel at pattern recognition; they stumble when patterns break — a sudden market shift, an impactful government policy change, a competitor’s big move.

For corporate teams exploring whether to embrace this aspect of digital transformation, Nick’s guidance is blunt: “Any leader at the C-suite and executive level should look to a tool like PivotXY as a critical piece of information flow and analysis.” Let AI speed do the grunt work; let economics ensure relevance.

Why you should integrate PivotXY into your corporate strategy workflow:

Test scenarios and “war-game” potential corporate strategies while being able to see the real time impacts on financial performance. “Seeing the resulting impact on the company's financial statements of potential M&A activity provides corporate leadership with an incredible insight into potential avenues for future direction at a fraction of the resource intensity of legacy consulting or investment banking services,” Nick said. 

Transform your analysis with relevant data that’s easily digestible — Start every meeting with answers, not just a jumble of disconnected data.

Traditional approaches hog resources — Get “cutting-edge insights and analysis at a fraction of the resource intensity of legacy business intelligence services.”

An insistence on causal transparency — You can trace PivotXY’s recommendations to first principles. If a software solution doesn’t meet that minimum standard, keep shopping.

“We’re not reinventing the wheel here at PivotXY and we’re not trying to,” Nick said.  “What we’re doing is using next-generation technology and automation grounded in the basics and fundamental principles of micro and macroeconomic theory to not just better understand the future but to play a role in it.”

Make decisions clearly connected to value creation

PivotXY shows that when deep domain economics meets modern AI, strategy tools graduate from descriptive to prescriptive. Ready to put an economist in every board meeting — without adding headcount? Connect with Nick on LinkedIn and contact our team today for a demo.

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