Discover data relationships you didn’t know even existed and improve costumer experience, sales and profitability
We put the power of advanced statistical analysis in your hands.
What is association analysis?
Association analysis is all about uncovering data relationships and using this asset to gain competitive advantage. It is a means to discover relationships in large data sets.
Hidden data relationships will be expressed as a collection of association rules and frequent item sets with association analysis.
While association rules suggest a strong relationship that exists between two items, frequent items are a collection of items that frequently occur together.
Epinion’s association analysis helps you:
increase your average sales by discounting the correct item revealed in the association analysis;
gain competitive customer insights by knowing how your products are associated in different segments;
differentiate discount offers based on market basket analysis.
At Epinion market research is about matching the right solutions to our client's particular situation, expectations and desired outcomes.
Call us today and learn how Epinion’s Association Analysis can benefit your business.
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JESPER ELGAARD MYGIND
+45 41 88 73 05
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”We are delighted with the highly professional and efﬁcient way Epinion has transitioned our core surveys and introduced new and more efﬁcient ﬁeld management processes. We look forward to a successful long term contractual relationship."
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“The research that is becoming more and more important to us is the research that is forward thinking because attitudes change rapidly and it is therefore important to be ahead of the consumer all the time. The insights that Epinion provide are very useful as they establish a clear link between analysis, insights and action. This is a very innovative and time saving approach to research that we are very fond of and really helped us in understanding the key priorities.”
“It is of great value for us that the customer segmentation is done thoroughly and professionally. By combining methods, we are able to create a segmentation which is based on both attitudes and needs. This means that the results are reliable and recognizable for people across the organization”