Case Studies: Retail & Marketing
Managing reporting data overload across the supply chain
Growing volumes of customer, point-of-sale and geo-locational/RFID supply chain data are becoming overwhelming. Omniscope's ability to help visualise, filter, manage and report on vast quantities of data, detect patterns and exceptions, pinpoint geographical locations and refresh data directly from back-end systems leads to many successful Omniscope-based solutions for retail & marketing. In the UK, Omniscope is already emerging as the standard for moving point-of-sale data among retailers, service bureaus, analysts and manufacturers/brandholders.
Special features available in Omniscope help with many aspects of data-intensive retail & marketing analyses:
- 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.
Featured Case Studies:
Screencast Demos
Produced by Atheon, this introductory video features typical retailing analysis
Sample Files
 | Retail & Marketing Intro (.IOK) 1.0 MB | Illustrates typical retailing analyses, reporting and presentation |
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| Basket Analysis Demo (.IOK) 5.0 MB | Illustrates Halo function basket/promotion analysis (225,000 records) |
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| Category Management (.IOK) 2.0 MB | A typical category management file for retailers, example of coffee |
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