Data Mining - Utilization of large volume of accumulated marketing in-house data - Combined with research, data can be utilized further for a more insightful search for answers or as supporting evidence.

Check the current status of database applications in your organization! Do any of the following profiles apply to your company?The software and hardware are in place, but there is nobody to utilize them. / There is so much we want to do, but are limited by the current system. / There are many ledger sheets, but nobody can use them. / The people who process the data and the people who use the data are not coordinating well with each other. / The system operation expenses for modification, customization, etc. keep increasing. / We are busy with our regular duties and have no time left over for ad-hoc analysis. / We get outputs from the data mining software, but they don't make sense. / The information systems staff don't have a good sense of marketing. / The marketing staff don't have a good sense of information systems management. / We don't know how to handle the data properly.If your organization fits more than 3 of these profiles, it is time to take action!

Consultation

What we are proposing is not simple data processing or tabulation. With our 40 years' experience in the marketing business, we can offer alternative ways to utilize and analyze data according to your needs.

Professionalism

Trade retail/ restaurants, other services, consumer goods, durable goods, etc. . . Our team understands consumer markets and business trends and approaches projects from the same point of view as our clients.

Comprehensive Approach

Data analysis is combined with research tools such as questionnaires, focus groups, mystery shoppers, etc. SMIS provides solutions with a multidimensional approach.

Reasonable Cost

Easy databases such as Access or SQL servers are used according to data volume. As a result, hardware and software costs can be dramatically reduced. Our data mining service is available at a reasonable cost.

Available Software

SPSS Clementine/ SPSS BASE series/ Text Mining Tool 'Nazuki Analyzer'/ Microsoft SQL Server/ Microsoft Access

Case1 Client analysis found the reason for high-end segment loss at chain-A.

Client analysis found the reason for high-end segment loss at chain-A.

The Supermarket Chain-A had reduced prices in response to increasing competitions. While the number of customers increased, their sales suffered.

Looking at the client data before and after the change, it was found that the high contributing Rank-S and Rank-A customers decreased in number. Because they focused too much on lowering the price, high quality products, which had previously been appreciated by high-end customers, were no longer readily available. That obviously prompted the drop in sales figures.

Case2 Chain-B improved the inventory by targeting high-end customers.

Chain-B improved the inventory by targeting high-end customers.

Chain-B conducted a customer-segmentation study before the renewal of the liquor section. They discovered that wine was the major contributing factor among high-end customers. Shochu (distilled spirits) was not performing well among the same high-end group, and it was discovered that they were unhappy with the product availability.

In response to the finding, our client improved the high-end alcoholic drinks selection, which boosted the overall sales.

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