10 posts!
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@piercethefog
10 posts!
Finance thinks they lead the data-driven organization, but a look at recent job postings show a different story. To own BI, Finance must own the Power User.
Does your organization use any business intelligence systems in finance? If so, which ones and do you find them helpful?
Combining direct-basis income statement, key metric ratio analysis, and Monte Carlo Simulation is a powerful combination in company profit maximization.
Bad, inaccurate, misleading or absent financial reporting that is vital to properly appraising risk leads to suboptimal market investment decisions.
The reason firm market valuations have become less dependent on financial statements is the marked and appreciable influence of intangibles have eclipse fixed assets, like property, plant and equipment (PP&E). Agree or Disagree?
The promise of predictive analytics is real and we can help encourage predictive analytics' acceptance and development as a powerful decision enabler.
“PEOPLE … OPERATE WITH BELIEFS AND BIASES. TO THE EXTENT YOU CAN ELIMINATE BOTH AND REPLACE THEM WITH DATA, YOU GAIN A CLEAR ADVANTAGE.” MICHAEL LEWIS MONEYBALL: THE ART OF WINNING AN UNFAIR GAME
5 posts!
How do you approach uncertainty in your 2017 financial plan? Consider spirited counter-measures to keep budgeting & forecasting relevant as conditions change.
With the real possibility of rising interest rates next year – the power of negative thinking in 2017 is something to be considered. Thanks to Al Hannenberg, CEO of Informative People Inc., for this great contribution. Please contact [email protected] if you want to add to the FP&A conversation on piercethefog.com.
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Business risk management should be part of a routine budgeting and planning process for all businesses. 5 ways FP&A can assess risk within the organization.
How do you assess business risk within your business planning process?
Step by step guide of how to take time series data, de-seasonalize it, forecast it and re-seasonalize it into a financial forecast.
A step by step guide of how to take time series data, de-seasonalize it, forecast it and re-seasonalize it into a financial forecast.
The best financial forecasting method to use depends on "who, what, where, when, why and how". "Color in" different methods by line item and circumstance.
Of all the different ways to approach a financial forecast most methodologies fall into two types: qualitative and quantitative methods.
What methods do you use to build your financial forecasts? Share with me in the comments or e-mail me.