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Square-inch analysis is a method used by direct marketers to evaluate the profitability of the offers appearing in the pages of a mail-order catalog. The results of square-inch analysis are used to improve the process of assigning merchandise offers to pages and allocating space in future catalogs, a process called page planning or pagination.
For each product or service, the 'area' of the circle represents the value of its sales. The growth–share matrix thus offers a "map" of the organization's product (or service) strengths and weaknesses, at least in terms of current profitability, as well as the likely cashflows. Common spreadsheet applications can be used to generate the matrix.
The picture shows a slicing operation: The sales figures of all sales regions and all product categories of the company in the year 2005 and 2006 are "sliced" out of the data cube. OLAP dicing Dice : The dice operation produces a subcube by allowing the analyst to pick specific values of multiple dimensions. [ 6 ]
Gross sales are the sum of all sales during a time period. Net sales are gross sales minus sales returns, sales allowances, and sales discounts. Gross sales do not normally appear on an income statement. The sales figures reported on an income statement are net sales. [4] sales returns are refunds to customers for returned merchandise / credit ...
Quality is the ability of a product or service to meet and exceed customer expectations. It is the result of the efficiency of the entire production process formed of people, material, and machinery. Customer requirements determine the quality scope. Quality is a competitive advantage; poor quality often results in bad business.
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Pivot tables are not created automatically. For example, in Microsoft Excel one must first select the entire data in the original table and then go to the Insert tab and select "Pivot Table" (or "Pivot Chart"). The user then has the option of either inserting the pivot table into an existing sheet or creating a new sheet to house the pivot table.
This included embedding sales force automation or extended customer service (e.g. inquiry, activity management) as CRM features in their ERP. Customer relationship management was popularized in 1997 due to the work of Siebel, Gartner, and IBM. Between 1997 and 2000, leading CRM products were enriched with shipping and marketing capabilities. [13]