­

Insurance customer flow

Enhancing insurance revenue by enabling the management of all customer data in real-time.

Insurance companies continue to struggle in the face of economic challenges, competition for market share and from increased regulation.  This is compounded by the issues presented by customer and operational data stored in multiple locations and systems across their business, making it difficult to capitalise on this rich source […]

By |September 20th, 2016|Customer ARC, Data, Insurance, Retail, Social Media|

Faster retail analytics

Challenge

Help a Large fashion retailer that was taking 36hrs to process 2 years of ePoS data (8 Billion records) within the traditional business intelligence system. (Microstrategy & Oracle). Merchandising team required predictive analytics and better performance to enable calculations on sales data to enable stock to be in the correct stores for the following week. (Calculations would include last week’s […]

By |November 20th, 2015|Analytics, Data, Retail|

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|

Retail Fraud Detection

Retail fraud can range from fraud in returns or abuse of customer service, or credit risk for larger purchases, based on, for example, uncovering fraud rings, social media activity of customers and detecting patterns. It can also be major security breaches putting private customer information at risk. Retailers need to protect their margins and their reputations by proactively detecting fraudulent […]

By |February 20th, 2015|Fraud, Retail|