Skip to main content

What-If Analysis

  • Reference work entry
Encyclopedia of Database Systems

Definition

In order to be able to evaluate beforehand the impact of a strategic or tactical move so as to plan optimal strategies to reach their goals, decision makers need reliable predictive systems. What-if analysis is a data-intensive simulation whose goal is to inspect the behavior of a complex system, such as the corporate business or a part of it, under some given hypotheses called scenarios. In particular, what-if analysis measures how changes in a set of independent variables impact a set of dependent variables with reference to a given simulation model such a model is a simplified representation of the business, tuned according to the historical corporate data. In practice, formulating a scenario enables the building of a hypothetical world that the analyst can then query and navigate.

Historical Background

Though what-if analysis can be considered as a relatively recent discipline, its background is rooted at the confluence of different research areas, some of which date...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 2,500.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Armstrong S. and Brodie R. Forecasting for marketing. In Quantitative methods in marketing. G. Hooley and M. Hussey (eds.). Int. Thompson Business Press, London, 1999, pp. 92–119.

    Google Scholar 

  2. Balmin A., Papadimitriou T., and Papakonstantinou Y. Hypothetical Queries in an OLAP Environment. In Proc. 26th Int. Conf. on Very Large Data Bases, 2000, pp. 220–231.

    Google Scholar 

  3. Chen B., Chen L., Lin Y., and Ramakrishnan, R. Prediction cubes. In Proc. 31st Int. Conf. on Very Large Data Bases, 2005, pp. 982–993.

    Google Scholar 

  4. Coyle R.G. System Dynamics Modeling: A Practical Approach. Chapman and Hall, London, 1996.

    MATH  Google Scholar 

  5. Fossett C., Harrison D., and Weintrob H. An assessment procedure for simulation models: a case study. Oper. Res., 39(5): 710–723, 1991.

    Article  Google Scholar 

  6. Golfarelli M., Rizzi S., and Proli A. Designing what-if analysis: towards a methodology. In Proc. ACM 9th Int. Workshop on Data Warehousing and OLAP, 2006, pp. 51–58.

    Google Scholar 

  7. Koutsoukis N.S., Mitra G., and Lucas C. Adapting on-line analytical processing for decision modeling: the interaction of information and decision technologies. Decis. Support Syst., 26(1):1–30, 1999.

    Article  Google Scholar 

  8. Kreutzer W. System Simulation – Programming Styles and Languages. Addison Wesley, Reading, MA, 1986.

    Google Scholar 

  9. Law A.M. and Kelton W.D. Simulation Modeling and Analysis. McGraw-Hill Higher Education, Boston, MA, 1999.

    Google Scholar 

  10. Lee C., Huang H.C., Liu B., and Xu Z. Development of timed colour petri net simulation models for air cargo terminal operations. Comput. Ind. Eng., 51(1):102–110, 2006.

    Article  Google Scholar 

  11. Roberts E.B. Managerial applications of system dynamics. Pegasus Communications, 1999.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this entry

Cite this entry

Rizzi, S. (2009). What-If Analysis. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_466

Download citation

Publish with us

Policies and ethics