Based on your reading of Chapters 6, 7, & 8 of the text including the “Unit Two Opening Case” entitled It Takes a Village to write an Encyclopedia, using Big Data concepts explain how Wikipedia can use data warehousing to facilitate data integration for Predictive Analytics initiatives.
With the advancement of technology, a data warehouse is now something that both big and small corporations can establish. By beginning to store, aggregate and leverage both transactional and customer data, a company can start incorporating business intelligence methods into the decisions making process. With access to historical and up-to-date data, a company should be able to beginning understanding historical and current trends in addition to leveraging that information to get a better understanding of where their business is headed; a company can go from being reactive to proactive.
In the case of Wikipedia, or any other firm, they could leverage a data warehouse to:
- Build cubes (multidimensional databases) that would allow quick slicing, dicing and drilling-down of the data warehouse data.
- Build dashboard reports (infographics) that will let the executive team quickly gauge business conditions
- Data mine all the valuable information that is being captured and stored in order to build robust predictive models.
All these items would greatly enhance Wikipedia’s ability to quickly adapt to changes in customer behavior and the business environment.
Baltzan, Paige. (2015). Business Driven Technology. New York: McGrill Hill Education.