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Rich Data, Poor Data

…What the Data Rich Do – That the Data Poor and the Data Middle Class Do Not!

Guest Article by By Shelly Palmer, President & CEO of Palmer Advanced Media
Generally speaking, there are two kinds of companies in the world: data rich and data poor. The richest of the data rich are easy to name: Google, Facebook, Amazon, Apple. But you don’t need […]

By |April 20th, 2016|Algorithms, Analytics, Data, Machine Learning|

Maximising revenue by keeping planes off the ground

Challenge:

Airlines need to identify the ideal times to fly to maximise demand, match capacity to demand and meet all operational requirements.  While at the same time establishing how to design their flight schedule in such a way as to maximise revenue.  With an almost infinite number of possible combinations, this process is inefficient and leads to higher costs and […]

By |October 20th, 2015|Algorithms, Data, Machine Learning, Pattern Recognition|

Pattern recognition for cross selling

Up-Sell/Cross-Sell Recommendations
Providing up-sell and cross-sell recommendations to customers is the mostly widely adopted big data use case in the retail sector. This enables retailers to increase online purchases by recommending relevant products and promotions in real time. Retailers can recommend products based on what other similar customers have bought—providing upsell, cross-sell or “next best offer” opportunities.

fraXses provides real-time capabilities that […]

By |June 20th, 2015|Machine Learning, Retail|

Gambling behaviour analysis

Working in both the online and actual casinos we help the operators work with the vast volumes of data generated through the gaming activity.

We predict players that are going to leave the casino before they actually leave. With this information, the marketing team can intervene with a retention strategy before their players leave.

We also have the ability to predict how […]

By |May 20th, 2015|Algorithms, Gaming, Machine Learning|