Customer Profiling Sample Clauses
Customer Profiling. IT functionality developed since December 2010; • February 2011 -> live trial in Dun Laoghaire SW Local Office • Rollout planning well underway -> nationally Q3 2011 onwards • Rollout being synchronised with that of other activation modules and Local Office modernisation programme 3.3 Participate fully in the procurement and implementation process for the National Postcode System. Case Management: • IT functionality developed since October 2010; • December 2010-> live in DSP‟s Dublin North region • Building block for future case management system being developed in DSP as part of the integration of employment and income support services • Rollout planning well underway -> nationally Q3 2011 onwards • Rollout being synchronised with that of other activation modules and Local Office modernisation programme 3.3 DSP has engaged with DCENR on the Postcode project to date and provided information in response to requests received. New business Over the lifetime Modernise Live Register and related claim and payment process of the processing, including:
Customer Profiling. All profiling information gathered during an outbound call will be entered into the ▇▇▇▇▇▇ database as managed by ▇▇▇▇▇. This will encompass:
1. updating an existing customer record with new data received
2. generating new customer records for customers not already present in the database * Confidential Treatment Requested
Customer Profiling anticipated benefits: • Enhancement of customer outcomes: early identification of people most at risk of becoming long-term unemployed • Enables interventions to be focused appropriately and promptly • Facilitate a more effective and efficient deployment of resources • Facilitate a national realignment of resources and joined-up action by all agencies operating under the national activation programme. Case Management: anticipated benefits: • radical realignment of current activation practices -> building block to an integrated case management system • improve efficiency and effectiveness – e.g. reduce time on manual functions, building up DSP’s customer information repository • complement the profiling of customers who enter the activation process.