For example, Ultra Health used enterprise performance management to determine the relationship between its revenues and the non-financial factors such as product production. Ultra Health’s use of Enterprise wide analytics takes place through the analysis of how many gram each cannabis plant are able to produce on average and how it straight lines to our sales for the quarter. For instance, The Department of Health in New Mexico allows each Cannabis provider to grow a maximum of 450 plants at any given time, and with that being said 450 plants are only able to produce so many grams. Now when Ultra Health began selling product we noticed that during the first 3 quarters we made the same amount of money each quarter, whether or not we had higher sales in the first month of the quarter, and lower sales in the last month of the quarter or vice versa. Then by way of enterprise wide analytics we noticed our sales were highly correlated to the amounts of cannabis we harvested each month. This brought it to our attention, that we produced the same amount of grams each quarter on average, seeing we had the same amount of harvest that took place each quarter, this gave us the insight we needed to see that our demand was greater than our supply. So with this knowledge we were able to determine what non-financial factors were causing our revenue constraints, and what changes we need to make to
For example, Ultra Health used enterprise performance management to determine the relationship between its revenues and the non-financial factors such as product production. Ultra Health’s use of Enterprise wide analytics takes place through the analysis of how many gram each cannabis plant are able to produce on average and how it straight lines to our sales for the quarter. For instance, The Department of Health in New Mexico allows each Cannabis provider to grow a maximum of 450 plants at any given time, and with that being said 450 plants are only able to produce so many grams. Now when Ultra Health began selling product we noticed that during the first 3 quarters we made the same amount of money each quarter, whether or not we had higher sales in the first month of the quarter, and lower sales in the last month of the quarter or vice versa. Then by way of enterprise wide analytics we noticed our sales were highly correlated to the amounts of cannabis we harvested each month. This brought it to our attention, that we produced the same amount of grams each quarter on average, seeing we had the same amount of harvest that took place each quarter, this gave us the insight we needed to see that our demand was greater than our supply. So with this knowledge we were able to determine what non-financial factors were causing our revenue constraints, and what changes we need to make to