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Advanced Analytics |
In today's heavily competitive market, converting data into actionable intelligence is key to survival. Data mining helps identify customers that are most likely to be profitable in the future and the marketing and sales communications that they will likely respond to. It also helps find prospects that are projected to have a high lifetime value. A Primer on Data Mining details how analytics can help drive the business forward.
| Analytic Techniques
Through sophisticated data mining and advanced analytics based on statistical techniques and artificial intelligence and proprietary and non-proprietary methodologies such as regression, CHAID, neural networks, cluster analysis and Bayesian methods, Data Square has helped its clients realize incremental lifts ranging from 5% to 500%.
View the Extended List of Analytics Techniques. | |
Analytic Applications
Data Square excels at integrating advanced analytic solutions with data-based strategic initiatives throughout the marketing and selling loop. Customer retention, acquisition, growth, cross-sell and upsell are just a few of the sales and marketing problems solved by analytics.
View the Extended List of Analytic Applications
Model Square
A suite of custom-developed models, segmentation schemes and a product recommendations system tightly integrated with Data Square's analytic solutions to exponentially increase the efficacy of marketing and sales initiatives.
This module includes an automated dynamic model scoring engine that refreshes models, segmentations schemes and product recommendations thus ensuring that information is up-to-date, relevant and actionable both for corporate marketing campaigns and for personalized sales associate selling initiatives.
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