Replacing the Annual Budget with Business Intelligence Driver-Based Forecasts
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Abstract
The fixed annual budget process can be a cumbersome and static process, often failing to deliver intended benefits. Typically detached from business operations and strategic planning goals, the annual budget suffers from inherent weaknesses caused by a lack of business intelligence regarding its underlying assumptions. This weakness is well documented in existing literature and there is ample evidence of improved alternatives to static corporate financial planning. One such alternative utilizes business intelligence as an essential component in the annual budget process, along with rolling forecasts as a critical tool. Utilizing business intelligence supported, driver-based rolling forecasting can align an organization’s budget process with strategic objectives and can further the operational and financial strength of an organization, as well as maximize shareholder value. In order to fully explore this topic, this article will present a review of the conventional annual budget process and the manner in which an approach that bases financial forecasts on business intelligence drivers can align operations with strategic objectives and add value to an organization. An assessment of intelligence-supported, driver-based rolling forecasting will also be presented, demonstrating an im- proved approach to the traditional annual budgeting process.
- P. S. Greenberg and R. H. Greenberg, “Who Needs Bu- dgets? You Do,” Strategic Finance, Vol. 88, No. 2, 2006, pp. 41-45.
- T. Malkovic, “Death Knell for Fixed Budgets,” Charter, Vol. 82, No. 3, 2011, pp. 40-43.
- F. Bartes, “Action Plan—Basis of Competitive Intelligence Activities,” Econom-ics and Management, Vol. 16, 2011, pp. 664-669.
- R. L. Keeney and H. Raffia, “Decisions with Multiple Objectives: Preferences and Valuable Tradeoffs,” John Wiley, New York, 1976.
- D. A. Fulgham, “Budget-Making,” Aviation Week & Sp- ace Technology, Vol. 172, No. 29, 2010, p. 66.
- S. C. Hansen, “A Theoretical Analysis of the Impact of Adopting Rolling Budgets, Activity-Based Budgeting and Beyond Budg-eting,” European Accounting Review, Vol. 20, No. 2, 2011, pp. 289-319. doi:10.1080/09638180.2010.496260
- A. A. Carmen and G. Corina, “A Strategic Approach of Management Accounting,” Annals of the University of Oradea, Economic Science Series, Vol. 18. No. 3, 2009, pp. 736-741.
- B. G. Ekholm, “The Impact of Uncertainty and Strategy on the Perceive Usefulness of Fixed and Flexible Budgets,” Journal of Business Finance & Accounting, Vol. 38, No. 1/2, 2011, pp. 145-162. doi:10.1111/j.1468-5957.2010.02228.x
- G. Veth, “Allo-cating Resources to Ensure Execution,” DM Review, Vol. 16, No. 12, 2006, pp. 28-38.
- P. D. Kimmel, J. J. Weygandt and D. E. Kieso, “Acc- ounting: Tools for Business Decision Makers,” 4th Edition, John Wiley & Sons, Ltd., Hoboken, 2011.
- B. Bozeman and J. D. Straussman, “Shrinking Budgets and the Shrinkage of Budget Theory,” Public Admini-stration Review, Vol. 42, No. 6, 1982, pp. 509-515. doi:10.2307/976120
- L. Lang, “The Power of Informa-tion,” Financial Exe- cutive, Vol. 15, No. 5, 1999, pp. 46-47.
- R. Heer, “Positive Outcome,” AFP Exchange, Vol. 30, No. 8, 2010, pp. 52-54.
- G. Veth, “Driver-Based Plan-ning: A Competitive Advantage, 2005. http://www.b-eye-network.com/print/444
- M. D. Troutt, D. W. Gibbin, M. Shanker and A. Zhang, “Cost Efficiency Benchmarking for Operational Units with Multiple Cost Drivers,” Decision Sciences, Vol. 31, No. 4, 2000, pp. 813-832. doi:10.1111/j.1540-5915.2000.tb00944.x
- G. Veth, “Better Resource Allocation with Cause-and- Effect Resource Analy-sis,” DM Review, Vol. 17, No. 1, 2007, pp. 37-38.