characteristics of the customers most likely to cancel their service subscription. Applying business rules generated via the tool, the campaign team took immediate action to mitigate future churn and manage and improve revenue. Another Bell project focused on customer acquisition. Using decision trees and supplemental modeling the project achieved a 10% increase in incremental revenues. The model improved the efficacy of customer targeting, leading to sixfigure increases in revenues. Sainsbury’s Sainsbury’s is a UK supermarket. Sainsbury’s Finance provides a range of products including insurance, credit cards, savings, and loans. It understands the value of its customer data and has been leveraging this information for customer acquisition, retention, and crosssales. With millions of customers in its database, Sainsbury's Finance required an analytical solution that was fast, flexible, userfriendly, and capable of handling large amounts of data. After evaluating various software options, Sainsbury Finance chose Angoss KnowledgeStudio from among several competitors. Solution deployment was a particularly important issue for Sainsbury. Previous solutions required manual verification of code – a lengthy process. KnowledgeStudio’s speed and flexibility, combined with a variety of modeling techniques and automated code generation, was what it needed to move models into production. KnowledgeStudio is now the key tool that Sainsbury's Finance uses to gain customer insights for strategic decisionmaking. Over the past year, the company has used Angoss KnowledgeStudio to focus on monitoring credit card use and to predict customer responsiveness to other Sainsbury’s Finance products. The models that have been designed have been successfully deployed from Angoss as views in Teradata, the company’s enterprise data warehouse. Sainsbury's Finance analysts use KnowledgeStudio for data visualization to understand consumer behavior. This enables them to recognize and identify customers for marketing purposes. Marketing strategically to customers who are more likely to purchase new products translates into more successful marketing campaigns.
DATA SHEET
Key facts about the solution
Table 1: Data sheet Product names KnowledgeStudio KnowledgeSeeker KnowledgeExcelerator KnowledgeCloud KnowledgeScore Product classification Data mining and predictive analytics softwareKnowledgeSeeker 8.5 2) KnowledgeExcelerator 8.5 3) KnowledgeScore 4) KnowledgeCloud 2) September 27, 2012 3) August 21, 2012 4) February 14, 2012 Industries covered Financial sector Communications sector Distribution sector Geographies covered Americas (73% install base) EMEA (21%) AsiaPacific (6%) Relevant company sizes Large (80% of customers) Mediumsized (15%) Small (5%) Platforms supported Microsoft Windows XP professional, SP2 +; Vista; 7; Windows Server 2003, 2008 (32/64 bit, where applicable) Red Hat Enterprise Linux 5 (32/64 bit), 6 (64 bit) Solaris 9 & 10 on SPARC architecture AIX 6.1 Languages supported English for user interface Data can be in any language or encoding Text analysis can be done in English, French, Spanish, Portugese, or German Licensing options Term – fixed licenses (1 10 users Seeker & Studio desktop or client server, 150+ for Excelerator) Ondemand (cloud) – per seat: annual, quarterly, monthly Deployment options Onpremise software license Ondemand, cloud Fully managed, hosted Route(s) to market Direct sales Resellers Online URL www.angoss.com www.whatsinyourdata.com Company headquarters 111 George Street, Suite 200Toronto, Ontario M5A 2N4Canada European headquarters Surrey Technology Centre40 Occam RoadThe Surrey Research ParkGuildford, Surrey GU2 7YG North America
