Prashanth Southekal
I have been asked many times, “Is data a business asset?”. Why is it that an intangible asset like data is not in the company’s balance sheet - a statement of the assets, liabilities, and capital of a business at a particular point in time? Technically, an intangible asset is a non-physical asset that has a multi-period useful life. Examples of intangible business assets are patents, copyrights, customer lists, trademarks, brand names, logo, and data. While data in the recent years has provided competitive advantage to many companies, five key reasons make it challenging for data to find a place in the balance sheet.
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Steve Rosvold and Prashanth Southekal
In this CFO Talk Steve invites Data Analytics expert Prashanth Southekal to share his expertise on an area of growing importance to the CFO, Data Analytics. Prashanth’s crisp, lesson-filled answers squarely address Data Analytics from the CFO and business leaders perspective in eye popping fashion. I encourage you to have a word document open and your keyboard ready throughout this interview. There is a lot to be learned.
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Julie Winkle Giulioni
If your organization is like most, you’re likely seeing less attention paid to development planning.It’s understandable.
Leaders face time challenges like never before. Teams are increasingly distributed across geographies, making connections complex.
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John Thackeray
A strong risk culture, a proactive board and operational resilience are among the keys to successful reputational risk management.
As Warren Buffett once said, “It takes 20 years to build a reputation and five minutes to ruin it.” This rings especially true today, as high-profile crises – including handling a pandemic, economic collapse, cyberattacks, product recalls and damaging social media posts – are prevalent.
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John Thackeray
Models are all around us — integral and important to operational efficiency — but the risks that they sometimes pose can materially impact the financial well-being of even the most well-structured organizations. In order to understand the risks, we must first define what a model is and what the inherent risks are when operating a model.
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