Retail and Consumer Marketing

Case Studies- Retail & Marketing

Managing data overload

Growing volumes of customer,  point-of-sale and geo-locational/RFID supply chain data are becoming overwhelming. Omniscope's ability to help people visualise, filter, manage and report on vast quantities of data, detect patterns and exceptions, pinpoint geographical locations and refresh directly from back-end systems leads to many successful Omniscope-based solutions for retail & marketing.

Special features available in Omniscope help with many data-intensive aspects of retail/marketing analysis:

  • Basket analysis- Omniscope's multiple column value matching allows analysts to isolate sales transactions including a specific item, as well as all other items purchased in the same transaction. For more information, see using the Halo function.
  • Proximity mapping- Omniscope can be used to identify which products are most similar to other products, based on variable preference weightings which can be changed in discussions with the customer.
  • Customer list analysis/name scrubbing- Omniscope's ability to group and edit text fields with variable spellings, match lists of names with external lists, manage duplicates and other data management features add tremendous value to the quality of data used for segmentation and other data-intensive analyses and reports.

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