Abstract
Knowledge management plays an important role in disseminating valuable information. Knowledge creation involves analyzing data and transforming information into knowledge. Knowledge management plays an important role in improving organizational decision-making. It is evident that data mining and predictive analytics contribute a major part in the creation of knowledge and forecast the future outcomes. The ability to predict the performance of the advertising campaigns can become an asset to the advertisers. Tools like Google analytics were able to capture user logs. Large amounts of information ranging from visitor location, visitor flow throughout the website to various actions the visitor performs after clicking an ad resides in those logs. This research approach is an effort to identify key knowledge factors in the marketing sector that can further be optimized for effective e-market prediction.
Recommended Citation
Lakkaraju, Santhosh Kumar, "Identifying Interesting Knowledge Factors from Big Data for Effective E-Market Prediction" (2013). MWAIS 2013 Proceedings. 4.
https://aisel.aisnet.org/mwais2013/4