William Murray MK390

William Murray 10/29/2018 Letter to Boss Boss, With the given data, I was able to predict the monthly sales forecast for the upcoming months. In region one we are given the estimated unit sales mean, low and high numbers. We are able to find the estimate for every given region for each month of January, February and March. To find the estimated low and high unit sales, all we had to do was either subtract or add the standard deviation depending on which one you were looking to find. This gives us a much better range of what our sales are going to be. This means that the range is essentially just the standard deviation times two. Our sales predictions will certainly help us get a better understanding of what our sales should look like come January 2019. To do this, we find unit sales of January 2019 by multiplying January 2018 sales by one plus the growth factor. If the growth factor is positive, we will make more sales. However, if it is a negative growth factor, then we...

This week in class we dug a little deeper into our analytics. We learned how to be more descriptive with our marketing insights and learned how to read them more ineptly. This helps for coming up with facts for when we are being descriptive, especially for our project. It is very important to understand the data that you are collecting from your analysis. Reading analytical data is a very difficult thing to do and this class is preparing us to be able to do so. It is essential to know  how to read data if we are looking to work in a competitive environment. 

For class this week, we needed to read chapters 4 and 5 of Mike Grisby's Marketing Analytics textbook. These chapters speak of what is the drive for demand. It also talked about a couple of different analytical statistics that helped answer the question. The chapters also talked a lot about who your main market is. It speaks on who is buying from you and how you as a company need to know who to market to. Between creating a matrix and picking variables, there can be a lot of information that is confusing. Questions What makes LCA the gold standard? Modeling elasticity, I don't really understand much around it. What does it mean when you are closer to 0% vs 100%?