The Use of Analytics in Buysiness

Business Proposal on Use of Analytics in Improving Outlets Analytics involves the analysis of collected data over a period of time in order to use the historical trends to determine or forecast the future trends. In this respect, businesses often benefit by making informed guesses or decisions concerning their business and the future of those enterprises. This business proposal looks at the possibility of using analytics in determining the proper stocking of "The Cookbook" a gourmet bases in Los Angeles and may want to expand to other cities (Timeout, 2016).

Importance of analytics to The Cookbook Use of data from the existing branches will help the management determine which branches had the highest number of customers and their location hence helping in determining the demographics of the possible new outlets.

The analytics should also be obtained from the existing branches in order to inform the management on the rate of stock turnover on each item hence they will be equipped with the knowledge of what items need to be stocked in the yet to be opened outlets and the quantities that need to be stocked.

The management will also be interested in the quality of the customers that visit each branch so that they can know not just the quantity but also the quality of the customers that The Cookbook has. This can only be obtained from the collected data and will help the management to identify the new outlet locations as well as the space that is required.

For a high quality customer base, small space can still bring in big profits, yet for low quality customer regions, larger space that can accommodate as many customers as possible would be essential. The historical data will also help the business know the kind of suppliers who have been consistent and whose products move the fastest.

It will also show those suppliers whose products give the bets profit margins and in effect enable the management to make informed decisions on which suppliers to retain in the new outlets that are to be established. From the data obtained in the existing branches, the management can decipher the average number of employees that are needed to effectively run a store and perform efficiently to the satisfaction of the customers.

This means the management will be able to employ just the right size of employees hence reduction in unnecessary expenditure, effectively saving money and resources for the organization over a long period.