Question

In: Finance

Why should someone use driver based forecasting instead of account based forecasting

Why should someone use driver based forecasting instead of account based forecasting

Solutions

Expert Solution

Benefits of Driver Based Forecasting (DBF)

1. Better accuracy. DBF improves the accuracy of forecasts, allowing the organization to ignore unnecessary items and focus on material drivers. Companies can also take the next step and run predicative analytics by looking at different inputs to the model. They can figure out what factors are going to move the business in either direction.


2. Data integrity. The number one benefit of DBF is trust in the numbers


3. Higher frequency. DBF makes it easier to forecast and plan more frequently by using technology to input KPIs into models that generate financial forecasts. It’s tied back to KPIs and strategy, thus it’s a unified way that gets people to be more focused on key drivers of business success.

4. Speed of decision-making. DBF lets companies make decisions, fast, by providing visibility into what’s moving financial results. Companies can begin to understand what levers to pull and their likely effect. If companies see a change in a driver, they can buy the most valuable thing: time to respond.

5. Better business support. Driver-based modeling is the best way for finance to support the business. Increasingly, finance is becoming a better partner to the business. The focus on business drivers allows finance to invert the pyramid—instead of spending two-thirds of their time on transactions and one-third on value-added analysis to support the business, FP&A can spend two-thirds on value-added analysis.

6. Ability to plan around key drivers. focusing on the operational drivers enables an organization to understand, plan around, and influence the critical elements that have the greatest impact on financial performance.

7. Higher efficiency. Adopting and implementing driver models significantly increases both the efficiency and effectiveness of planning, reporting, analysis and driving improved business performance.

8. Getting everyone on the same page. DBF gets all the different functional leaders on the same page; finance, marketing, sales, manufacturing, distribution, etc., can see the impact of their activities on financial results.

9. Developing a rolling forecast. Driver models are also an essential foundational component for establishing a rolling forecast framework and significantly reducing the time and effort associated with the traditional annual planning process. As more companies peek around the corner at 12 months, that’s becoming an essential factor.

10. Changing the conversation. DBF forces the discussion to turn to activities and operational driver-based conversation, i.e., focusing on the value chain of the business since drivers are tied to that value.


Related Solutions

how do companies account for bad debt? Why would they use an allowance account instead of...
how do companies account for bad debt? Why would they use an allowance account instead of directly crediting A/R? What are the various methods of accounting for bad debt? Describe the differences in how the expense is calculated.
Pick one of the following: •   Technical Forecasting •   Fundamental Forecasting •   Market Based Forecasting Why...
Pick one of the following: •   Technical Forecasting •   Fundamental Forecasting •   Market Based Forecasting Why might forecasting be used by a multinational corporation? Clearly define the forecasting technique you have chosen. Explain in detail what is involved with the forecasting technique you have chosen. Explain what is meant by market efficiency. Then explain the implications of market efficiency on your chosen technique.
Why would someone use a unsupervied learning technique instead of a supervised learning technique other than...
Why would someone use a unsupervied learning technique instead of a supervised learning technique other than one uses unlabeled data and the other does not? In other words, what are some advantages of clustering over classification?
Why should a person use APY instead of interest rate when comparing savings accounts?
Why should a person use APY instead of interest rate when comparing savings accounts?
How to create a driver base forecasting withcost centers?
How to create a driver base forecasting withcost centers?
Justify why someone may be better off investing their money in an RESP instead of a...
Justify why someone may be better off investing their money in an RESP instead of a GIC or savings account.
Why would someone need to use a call option? Give a scenario of why someone would...
Why would someone need to use a call option? Give a scenario of why someone would want to use one. Also, pick a stock that has a call option written on it and describe how it would benefit someone who would purchase a call option. Showing math is required.
a)Why would a product costing system based on a single, volume-based cost driver tend to overcost...
a)Why would a product costing system based on a single, volume-based cost driver tend to overcost high-volume products in comparison to an activity-based costing system? b) The first ‘Real Life’ in ‘When should ABC be used?’ suggests that the adoption of activity-based costing in Australia and New Zealand has not been as high as one might expect. What limitations and other challenges to implementing activity-based costing may be impacting the adoption of activity-based costing?
list and explain the principles of behavior-based safety and why an employer should use this concept...
list and explain the principles of behavior-based safety and why an employer should use this concept in the workplace
Your manager is trying to determine what forecasting method to use. Based on the following historical...
Your manager is trying to determine what forecasting method to use. Based on the following historical data, calculate the following forecast and specify what procedure you would utilize. month actual demand 1 62 2 65 3 67 4 68 5 71 6 73 7 76 8 78 9 78 10 80 11 84 12 85 1. Calculate the exponential smoothing with trend component forecast for periods 2–12 using an initial trend forecast (T1) of 1.8, an initial exponential smoothing forecast...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT