¶ … data collection mentioned earlier. This report shall focus on the data collection in particular. Within this report, there shall be a recitation of the data collection approach, a definition of the proper data collection channels, a description and depiction of the purchase of external data sets to assist in the problem, the development and description of data quality and other data governance issues and a planning of the ongoing storage and maintenance of the data. While planning and execute data analytics is not rocket science, as they say, it is something that is very important and needs to be done right the first time.
The author of this report knows that a ten million dollar investment is not insignificant. As such, there should be a proceeding with caution yet expediency. As noted in the prior project, JC Dollar is in the right general area of analysis but is obviously not properly discerning the effects and outcomes as is needed to craft a good loyalty. The data collection for the customer loyalty project needs to be thorough but it cannot be obvious that the data collection is going on or what it is for. Given that, the best way to collect and harvest the information is to get the information from the shopping and buying habits of the customer. As much as can be collected with no direct feedback from the customer should be the norm. Additionally, the information then needs to be assembled and cultivated in the proper way...
The purchase of external data sources is absolutely not a bad idea as it can reveal things that JC Dollar's data would never reveal on its own. While JC Dollar's data would be informative and helpful, getting a wider industry picture would be better. This is because some of those other stores are doing much more correctly and thus their data would be more illuminating and helpful. As noted in the prior assignment, JC Dollar's assumptions and analysis of its customer and what that should mean in terms of how the loyalty program is structured has been wrong. As such, JC Dollar should look at data sets where the reactions were correct and the outcomes were positive (Corrigan, Craciun, Powell, 2014).
However, governance of the data is important as well. For example, while having the demographics of each person in the data set is important to have, other data that is more sensitive and unnecessary to the data analysis process such as credit card information (other than whether they paid with a credit card or using some other method), name, address and so forth should be left off the data set. This is…
