suggestions for what to write. That’s really helpful to have something for proposal writing rather than a blank space."
Use this template to describe the analytics that are pertinent to your proposal. " Analytics" is somewhat ambiguous term that can loosely be described as how an organization makes decisions based on existing data. This is similar to statistical analysis and data mining. The term " analytics" is often interchangeable with the term " modeling " especially when it comes to predictive analytics or analyzing existing data to predict future trends. Predictive analytics are heavily used in marketing engineering financial insurance and medical pharmaceutical industries. Introduce the topic of analytics here and describe what that term means in the context of your proposal. Then go on to discuss what you hope to learn or predict from this study. For example do you hope to better pinpoint target audience to market your products to or do you hope to avoid risk by better predicting downturns or to find ways to more efficiently use your resources. Data to Analyze Describe here the data that you will analyze or have analyzed. For example are you analyzing the timing of " hits" to websites or the type of groceries purchased by customers over the age of 65. How will you collect that data. What are the limits to your data set date range specific number of samples to analyze. Methodology Describe how and when you will analyze or have already analyzed the data. Are you looking for specific patterns. Are there certain statistical tests you use. Who will do or has done the analysis and over what period of time.
Results Describe here the form in which results will be or have been reported as well as when and to whom the results will be or have been presented. Next Steps Describe here any steps that must be taken after the results are reported. For example will another party evaluate the original study. Will committee meet to make recommendations for future course of action. You may want to discuss the potential ramifications of the analytics for your organization.