Office Hours is a work of passion to share strategies, technology ideas, and real-world stories that inspire governance, risk management, compliance, and audit professionals to live their biggest impact! Our channel is dedicated to delivering the best stories and strategies in developing GRC programs we've seen across 7,000 organizations in 140 countries around the world. In every episode we'll drill down on a topic that can help you level up - risk management, compliance automation, data analytics, next-generation auditing, robotic process automation, artificial intelligence, etc.
This week on Office Hours we'll be talking about brand, and the risk of brand misperception. What assurance do management and the Board really have that corporate marketing is speaking to the market in a way and cadence that aligns to corporate strategy and drowns out the competition? This is a good chance to think about risk management's role in marketing, and also a great chance to look at how AI-driven natural language processing can be used in a real-world, practical way... in this case to competitively benchmark natural language marketing communications to our strategy and competitors.
This week on Office Hours, our first guest host, the mad genius Phil Lim, joins Dan Zitting to talk about the Paradise Papers... what they mean and how an organization he worked with was interested in using the data compiled from them to look at potential risk indicators fraud or corruption. Phil actually uses the real data with real US government spending data to show how the process looks to evaluate red flags.
This week on Office Hours, hosts Dan Zitting and Kevin Legere summarize Kevin's experiences as a data analytics consultant to audit and compliance teams who are just getting started with an analytics program. Kevin distills the what he found are really the five key steps to getting off the ground and building your first "data robots". These worked at Fortune 500 company's and the US Federal Government, hopefully they work for you if you are just diving into "data-powering" your team or function!