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Vasant Dave's article published in The Economic Times (India) of July 1, 1987.

Analyzing Sales on PC

The personal computer, combined with a few software packages, has eliminated the tiresome, time-consuming and error-prone calculations from the sales analysis process. This has induced marketing managers, otherwise preoccupied with reducing stock, collecting outstanding and holding profit margin, to take a second look at sales analysis.

Industrial sales analysis invariably answers many questions but also raises quite a few. Sales analysis initiates a train of thought that if pursued logically, pinpoints problem areas in marketing. The personal computer assists the manager to analyze sales faster than otherwise possible. It tips him off to initiate timely corrective actions. An interview published in 'International Management' (August, 1983) aptly sums up the role of the personal computer in taking business decisions: "Having the PC always makes you ask the question, 'Why not do this?' because it will only take a couple of seconds. If it is laborious and manual, you don't do it. But if it is simple, you will. It actually forces a greater level of professionalism. I call it my 'Micro disciplinarian'. When I know I can get all this information, it is almost criminal not to."

Some questions the industrial marketing manager asks are:

To get answers to these questions, an information processing system needs to be created in two storeys: Codification and Computerization.

Codification

The classification of each client can be done according to the following codes:

Computerization

The manager tends to evaluate any new sub-system upon its compatibility with the current system. In case no system exists, he would insist that the suggested system be flexible enough to link up with sub-systems that might be added in future. The basic concept needs to be respected if the present exercise is to be practical. As such it would need 3 databases:

Client Database: It is a centralized database used by systems like invoicing, mailing literature and market survey questionnaires, etc. It would record the client account code, the client's name, the client's address and the PIN code.

Product Database: It is another centralized database and is used by systems such as finished goods stocks, DGTD production reports, etc. It would include the product code, the product description, its unit price, the production, the dispatches, and the finished goods stock.

Sale Note Database: The cornerstone of this entire exercise, it would record the sale note number, the sale note date, the client account code, the category code, the main operation code, the market segment code, the product code, the quantity ordered, and the sale note value.

'Client account code' and 'Product code' in the Sale Note Database would enable copying the related 'Client's name' and 'Product description' from the preceding databases. Such an inter-linkage of the various databases with key parameters not only eliminates the time spent on typing repetitive information but also minimizes errors.

A software package such as 'dBase III plus' can be utilized to create the databases. Let us consider the sale note database. All information in it related to a single note is termed a 'record'. Each 'record' is composed of a number of data bits termed as 'fields'. Client account code, category code, main operation code, market segment code, etc. are different fields. The database package has the capability to scan thousands of 'records' and sorting out only those having the given combination of 'fields'. For example, all sale notes concerning a product 'X' and having a Sales analysis code 215 (i.e. Private sector OEMs in Textile industry) can be listed together and totaled within seconds. With a short program that gives step by step commands to the computer about what to do, one can derive all input information.

If further statistical acrobatics are needed based upon the above summary, they can be performed by 'importing' the summary into a spreadsheet package. A spreadsheet package such as 'Lotus 1-2-3 Version II' or 'WIPRO 4-5-6' allows an executive to create statements. A column, a row or a position can be defined in terms of one or more columns, rows or positions. Having entered the known data, one can create additional rows and columns by defining these in computational or logical relationships to the existing rows and columns. Thus final analyses can be computed. The spreadsheet package also has the capability of drawing line graphs, bar charts, stacked bar charts and pie charts from the statements recorded in its memory. This facility is vital for quickly preparing effective reports for presentation to the higher management.

Although this article has focussed on Sales analysis, an exercise done in a similar way would indicate industry-wise shift in demand as also market share. New projects analysis on the same lines can provide a strong base for demand forecasting. Age-wise outstanding analysis may throw light on those industries which may be accorded lower priority as funds are likely to be blocked for longer periods in commitments made to them.

The advent of the personal computer has added a new dimension to the marketing manager's thinking. At its best, the PC is a powerful tool that enables the marketing manager to make moves more swiftly in the short run and draw up a challenging strategy in the long.

© Vasant Davé

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