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The report is created in order to provide a brief idea to cover the business cycle related to the Chain of stores which comprises of different sub reports related to dedicated business process.
The sales insights provide important information related to the sales aspects and the overall profitability of the stores like Gross sales, cost of good sold and gross profit. It's enabled users of the report to apply filters related to different product offerings, customers, sales team as well as order date in order to get useful insights from the data. The Map provide summarize distribution of profits across different regions.
The Customer insights provide the snapshot of the customer base of this store through Treemap which is one of the most efficient visuals when we need to provide the comprehensive summary of very extensive data. The filters can also be applied by the users of the report in order to customize the information which best fit the users need.
The chain insight tries to portray the overall fundamentals related to this chain of stores like gauge of targeted profit and targeted sales, region wise stats related to sales, discounts, costs and profit. The map provides the brief summary of region wise distribution of profits and the customize tooltip is used to provide report users the extensive details related to number of stores situated in each state which further drill down to geographical distributions related to stores presence along with profit distribution.
The SCM insights provide the information on important barometers related to supply chain management which undoubtedly one of the most important aspects of chain store business. The card visual used to provide important information like average inventory turnover, average number of days to ship the product, the average number of days to deliver the product to the customers. The decomposition tree visual enable users of the report to split the information in order to identify the factors related to inventory turnover in a particular warehouse by splitting through region or state and product levels.
The future predictions related to sales, costs and profits and based on the historic datasets is provided in the future insights. Key influencer visuals provide answers to the key questions related to the profitability of the chain of stores based on the regression and trend analysis of the data.
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Hii,
Can you please share the dataset for the study purpose at mayankmangla710@gmail.com