Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Koppius Published Computer Science Economics of Networks eJournal textabstractThis research essay highlights the need to integrate predictive analytics into information systems research and shows several concrete ways in which this goal can be accomplished. Predictive analytics include empirical methods statistical and other that generate data predictions as well as methods for assessing predictive power.
Cumberland University Healthcare Sector Predictive Analysis | Research Paper Writers
There is a consensus drawn by shamoo and Resnik , data analysis is a process or systematically application of statistical tools used by researchers to derive insights over the years. It helps in reducing voluminous datasets into smaller segments whose mass structuring brought new ideas and interpreting the results. Nowadays, researchers rely on the data to provide immense value to their research and explore information through processes known as Data Mining. Sometimes it is needed to be unbiased while recognizing the pattern, expression and results. Data analysis entails unforeseen information that might not a researcher come across at the initiation of research, therefore when a researcher begins data mining processes, the journey of exploratory research starts simultaneously. Amid these things it has been figured out data analysis in qualitative research precede with statistical tools, getting information from words, description and event could be complicated.
With the flood of data available to businesses regarding their supply chain these days, companies are turning to analytics solutions to extract meaning from the huge volumes of data to help improve decision making. The promise of doing it right and becoming a data-driven organization is great. Huge ROIs can be enjoyed as evidenced by companies that have optimized their supply chain, lowered operating costs, increased revenues, or improved their customer service and product mix. Looking at all the analytic options can be a daunting task. However, luckily these analytic options can be categorized at a high level into three distinct types.
This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas. Is predictive analytics a better method than others for predicting the future?