Abstract
In this chapter the process of engineering data query and reporting options are discussed, especially to allow organizations to effectively report and analyze the operation. The chapter shows alternative data storage methods to enhance reporting performance and covers the recording, storage, and analysis of transactions that occur across enterprise systems. There is particular focus on decision support systems development, use of “big data,” end-user query development, predictive analytics, and reconciliation of reporting through data warehousing. The chapter also covers the convergence of internal and external sources of data, including data that is not formatted and needs special processing to merge into useful information databases.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brynjolfsson, E., & McAfee, A. (2012). Big data: The management revolution. Harvard Business Review, 90(10), 60–68.
IBM & Said School of Business, Oxford University. (2012). Analytics: The real-world use of big data in financial services. Retrieved September 30, 2015, http://www-935.ibm.com/services/multimedia/Analytics_The_real_world_use_of_big_data_in_Financial_services_Mai_2013.pdf
Laney, D. (2012). The importance of big data: A definition. Gartner. Retrieved 21, June 2012.
Nielsen Norman Group. (2015). User experience for mobile applications and websites. Retrieved September 30, 2015, from http://www.nngroup.com/reports/mobile-website-and-application-usability/
Poe, V. (1996). Building a data warehouse for decision support. Upper Saddle River: Prentice-Hall.
Sanders, N. R. (2014). Big data driven supply chain management: A framework for implementing analytics and turning information into intelligence. Upper-Saddle River: Pearson Education, Inc.
Tufte, E. R., & Graves-Morris, P. R. (1983). The visual display of quantitative information (Vol. 2, No. 9). Cheshire: Graphics Press.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer-Verlag London Limited
About this chapter
Cite this chapter
Langer, A.M. (2016). Data Analytics and Data Warehouses. In: Guide to Software Development. Springer, London. https://doi.org/10.1007/978-1-4471-6799-0_13
Download citation
DOI: https://doi.org/10.1007/978-1-4471-6799-0_13
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-6797-6
Online ISBN: 978-1-4471-6799-0
eBook Packages: Computer ScienceComputer Science (R0)