CFO 2.0 – Analytics Champion, Business Advisor, C-Suite Whisperer
Data-driven finance and Big Data are transforming the role of the CFO – not just what they do, but why and how they do it as well. Consider how they change the game in these strategic and tactical ways:
A Principled Approach to Big Data Analytics
Data-driven finance organizations can become analytics champions by embracing five key principles – agility, sustainability, extensibility, predictability and accountability.
Playing “Moneyball" to Uncover Cost Savings Opportunities
World-class CFOs manage data as an asset and use analytics to generate value from company resources and uncover “hidden gem” opportunities for cost savings and operational improvements.
A More Strategic Role for CFOs
It’s practically a new job description for CFOs – delivering more detailed analysis and more actionable insights, more predictive forecasts and enhanced information on customers, products and suppliers.
How to Make Data-Driven Finance a Reality
So where do finance leaders start to leverage the transformative potential of Big Data and Big Data analytics? Much depends on how quickly their organizations set themselves up with data management systems that foster financial transparency, as well as related organizational structures and decision-making practices. It will be a multi-dimensional journey for most organizations. That means CFOs and other leaders seeking to make Data-Driven Finance a reality must ask the right questions to:
Data-Driven Finance: Above and Beyond the Bottom Line
Doing more with less and lowering the cost of the finance function are the eternal imperatives for CFOs. Data-driven finance certainly pays dividends in these areas. But it’s also about CFOs seizing the opportunity to engage the business as a strategic advisor providing insights that promote operational excellence and foster innovation, while eliminating waste and reducing risk.
Data-Driven Companies
Boeing
Beyond running the numbers, the CFO organization at the world’s largest aerospace company engages the business with action-oriented data to achieve the strategic vision and change the decision-making culture.
Grainger
More granular financial and operational data and advanced modeling led to more detailed, accurate and consistent measures of profitability – by product, customer or channel – at Fortune 500 industrial supply company.
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