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How forecast error analysis improves your FP&A process

Centage

Forecasting errors are an inevitable part of the budgeting process. Quickly identifying forecast errors in your budget is not a sign of failure, but an opportunity for improvement. Forecast error: Definition and Types In the simplest terms, forecast errors are the difference between predicted values and actual outcomes.

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How to Create a Flexible, Agile FP&A Function

Centage

For truly effective forecasting, businesses and financial departments need to find new ways of assembling and analyzing data. The Need for Accurate Forecasting It’s no secret that accurate forecasting is essential in today’s complex economy. In fact, Centage’s survey revealed that improved reporting was the No.

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Report the Future: The Role of Automation in Financial Reporting

Centage

And fortunately, modern technology is resulting in a data flood that enables companies to predict more than ever before. By collecting and analyzing data from various parts of the organization, companies can generate reports that provide data-driven answers to all the questions plaguing them.

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What Is Business Intelligence and How Does It Link to EPM?

Jedox Finance

It also needs to be based on insights from data. Effective decision-making must be based on data analysis, decisions (planning) and the execution and evaluation of the decisions and its impact (forecasting). Analyze: Using information and knowledge from the data the organization collected over time.

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Efficiency First: Tech Trends for Finance Teams in 2023

The Finance Weekly

More agile forecasts and at least [weekly] forecasting and assimilating on your latest forecast is probably really what companies need today.”. In our strong use cases today, we might see some fraud detection, we might see AI and power forecasting, but it’s all very early stages.”.

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The AI CFO: Understanding the impact of AI on the role of CFOs

CFO Share

The integration of AI in finance operations has already transformed the way CFOs analyze data, make decisions, and navigate complex financial landscapes. By analyzing historical data, market trends, and various external factors, AI algorithms can generate more accurate sales forecasts, demand predictions, and financial projections.

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Why Data is So Important to Manufacturing Budgets

Centage

For instance, a certain raw material may jump 12 percent over a three year period, but historical data shows only minor adjustments of 3 percent for two years, and then a large increase of 6 percent in the third. Direct labor is another area where analyzing data can lead to cost savings and a better budget.