In this LinkedIn Live event, The Impact of Data, Analytics and AI on Enterprise Performance Management (EPM) we invited 3 global experts to discuss how key challenges faced by CFOs can be addressed using Data, Analytics and AI within the EPM environment.
This series covers the 8 key themes at the 4th annual Finance Innovation and Excellence Summit (FInEx Summit). The Summit tackled eight of today’s most pressing challenges facing Chief Financial Officers and other accounting, finance and treasury leaders. The expert speakers on each panel are global leaders in their field who deliver great messages tailored to the worldwide CFO community. Part I covers The CFO in Crisis and Digitization, Automation and AI.
Poorly generated data visuals can lead to faulty interpretation, incorrect decisions and, ultimately, poor business results.
Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions.
Basically, data visualization is communicating data and insights, in part or whole, using charts, color, text, ergonomics and other related aspects. While a well-crafted data visualization can make the communication pertaining to data and insights more effective, a poorly generated data visual can lead to faulty interpretation, incorrect decisions and, ultimately, poor business results.
Asking good questions is considered one of the most important skills in business. Eric Schmidt, former CEO of Google said, “We run the company by questions, not by answers.” According to management expert Peter Drucker, “The important and difficult job is never to find the right answer; it is to find the right question.” Quality guru Edwards Deming said, “If you do not know how to ask the right question, you discover nothing.” In short, questions unlock value in organizations.
I tried to stifle images of Dr. Frankenstein’s laboratory on that stormy night when his creation came to life. The mix of awe and terror as his creation’s eyes flicker awake …
But there I was.
After just a few short hours of bumbling my way through a handful of coding templates I found online and several rounds of working with ChatGPT and Bard to QC my sloppy code, I was conversing with my own fine-tuned audit expert robot, whom I’d just named Otto.
