Data Warehouse assignment

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The data mart provided in Microsoft Access format was exported to Microsoft Excel and its PivotTable functionality and the entries in the fact table 3 were analyzed. Though it is not possible to perform comprehensive data mining on the data using Excel tools, the data was converted to a customer versus product pivot table displaying total sales amount and total sales quantity.


The data was analyzed with respect to the time dimension - week. Sales were analyzed against the customers weekly. It was identified that the sales amount graph for the six weeks of 2005 for ALL the customers generated the following trend:
The above graph displays that there was a drop in sales amount in the third week of 2005. Since this is a graph of cumulative sales, we can assume it to be a fair representation (normalized) of the entire dataset. After the third week, the sales picked up again in the fourth week, however, this was not sustained: there was a consistent drop in the fifth and sixth week of 2005. This pattern is an interesting one from an analytical perspective. It shows the cumulative pattern of the sales of the company for the six weeks. The pivot table capabilities of Excel can allow drilling down to a specific customer too, however, this pattern represented in the graph is an important one for the company to analyze the potential reasons for the rise or drop. Comparing the trend with changes in ther variables, for example, the firms strategies at those times the company can understand the best practices that led to the changes in their sales.
There are several other trends in the comp ...
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