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The 2023 Global EY DNA of the CFO Report, drawing on insights from 1,000 finance leaders, underscores the importance of data-driven insights in strategic decision-making. Yet, it revealed that 44% of CFOs struggle with data visibility.
As the role of the CFO levels up from balancing the books to helping organizations shape bold strategies for the future, these finance leaders must be ready to steer leading practices in data management — harmonizing data strategies with business objectives and serving as pivotal contributors and value generators within their organizations.
Speak a common language
For multinational corporations, data terminology and definitions can go rogue when no one is watching. In the US, you’re selling cookies; in the UK, you’re selling biscuits. They are the same product, but when the profit reports are pulled, discrepancies in branding and nomenclature can become a recipe for errors and ineffective planning.
Varied data terminology and business unit data autonomy is a common issue that can lead to significant inconsistencies,” says Jim Deutsch, EY Americas Finance Transformation Data Leader. “Moving towards standardization and away from terminology that’s open to interpretation, can help to avoid situations where the same data leads to different business conclusions. And CFOs are well positioned to lead this effort as financial information is the foundation of enterprise data.”
Establishing standards for data literacy is a collective endeavor that extends beyond the CFO’s role, necessitating active participation from the entire executive suite. When all divisions are involved in the collective agreement around data terms and their impact on the operational needs of the organization, a more cohesive and efficient business environment is established.
Integrate and automate
Shared definitions of data terms are a critical step, but they won’t go far without centralization and automation. A consolidated data source improves the accuracy and reliability of the information that guides decisions.
The CFO survey revealed that a substantial 80% of the data finance departments depend on is sourced from different business segments. Utilizing a collective, credible source of information allows finance leaders to move beyond their conventional role as financial gatekeepers and transform into strategic consultants, providing valuable insights that can propel businesses forward.
A centralized approach to data management can also lead to more efficient processing and analysis, resulting in quicker insights. In the CFO survey, finance leaders prioritized advanced data analytics as the second key area for financial transformation in the coming three years.
The adoption of transformative technologies, such as artificial intelligence (AI) and machine learning, can enhance these advantages, automating the analysis to reveal hidden patterns and opportunities, helping companies anticipate market shifts and prepare for what lies ahead.