Abstract
We present an approach for Business Intelligence (BI), where market share changes are tracked, evaluated, and prioritized dynamically and interactively. Out of all the hundreds or thousands of possible combinations of sub-markets and players, the system brings to the user those combinations where the most significant changes have happened, grouped into related insights. Time-series prediction and user interaction enable the system to learn what “significant” means to the user, and adapt the results accordingly. The proposed approach captures key insights that are missed by current top-down aggregative BI systems, and that are hard to be spotted by humans (e.g., Cisco’s US market disruption in 2010).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
The share of a player in a market is the ratio between the volume of that player in that market and the total volume of that market.
References
“Overview of Online Analytical Processing” in a Microsoft support site. https://support.office.com/en-us/article/Overview-of-Online-Analytical-Processing-OLAP-15d2cdde-f70b-4277-b009-ed732b75fdd6
OLAP cube in the English Wikipedia. https://en.wikipedia.org/wiki/OLAP_cube
Sarawagi, S., Agrawal, R., Megiddo, N.: Discovery-driven exploration of OLAP data cubes. In: Schek, H.-J., Alonso, G., Saltor, F., Ramos, I. (eds.) EDBT 1998. LNCS, vol. 1377, pp. 168–182. Springer, Heidelberg (1998). doi:10.1007/BFb0100984
Du, J., Spence, I., McGuffin, M.J.: Visual guidance in the exploration of large databases. In: Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research, pp. 128–138. IBM Corp., Riverton, NJ, USA (2010)
Hamed, K.H., Rao, A.R.: A modifieed Mann-Kandell trend test for autocorrelated data. J. Hydrol. 204, 182–196 (1998)
Box, G.E.P., Jenkins, G.M.: Time Series Analysis: Forecasting and Control. Holden Day, San Francisco (1976). Revised ed.
Petrov, B.N., Csaki, F.: Information theory and an extension of the maximum likelihood principle. In: 2nd International Symposium on Information Theory, Akademia Kiado, pp. 267–281 (1973)
Jochen, M., Setzer, T.: On the robustness of ARIMA-based benchmarks for corporate financial planning quality. In: 47th Hawaii International Conference on System Sciences (HICSS), pp. 1221–1229 (2014)
Lorek, K.S.: Trends in statistically based quarterly cash-flow prediction models. Acc. Forum 38(2), 145–151 (2014). Elsevier
See “Mahalanobis Distance” in the English Wikipedia
Talluri, K.T., van Ryzin, G.J.: The Theory and Practice of Revenue Management. Springer, New York (2004). ISBN-13: 978-0387243764
Wilson, J.G., MacDonald, L., Anderson, C.: A comparison of different demand models for joint inventory-pricing decisions. J. Revenue Pricing Manage. 10(6), 528 (2011)
Logit function in the English Wikipedia. https://en.wikipedia.org/wiki/Logit
IDC Server Tracker. http://www.idc.com/tracker/showproductinfo.jsp
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Keshet, R., Maor, A., Kour, G. (2016). Prediction-Based, Prioritized Market-Share Insight Extraction. In: Li, J., Li, X., Wang, S., Li, J., Sheng, Q. (eds) Advanced Data Mining and Applications. ADMA 2016. Lecture Notes in Computer Science(), vol 10086. Springer, Cham. https://doi.org/10.1007/978-3-319-49586-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-49586-6_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-49585-9
Online ISBN: 978-3-319-49586-6
eBook Packages: Computer ScienceComputer Science (R0)