RAG TV S3E2: Using Data for Personal Tariff Recommendations

Wednesday, January 13, 8:00am - 9:00am (EST)

Time shown in-04:00 America, New York

Regular hosts Eric Priezkalns and Lee Scargall are joined by Bill Leahy and Nev Phillips of Symmetry Solutions for a discussion about Personalised Recommendation and Order (PRO) solutions. PRO solutions automatically calculate and notify customers of the best tariff plans based on the subscriber's past usage and services, as well as providing an easy way for the customer to accept recommended changes with just a few clicks.

The conversation will focus on why delivering better value for the customer leads to a reduction in bad debt, increased sales and improved customer satisfaction, and will also touch upon the reasons for regulators to mandate the implementation of PRO solutions and why their implementation should be treated as an opportunity to enhance revenue assurance.

Add to Calendar 2021/01/13 13:00:00 2021/01/13 14:00:00 Europe/London RAG TV S3E2: Using Data for Personal Tariff Recommendations Regular hosts Eric Priezkalns and Lee Scargall are joined by Bill Leahy and Nev Phillips of Symmetry Solutions for a discussion about Personalised Recommendation and Order (PRO) solutions. PRO solutions automatically calculate and notify customers of the best tariff plans based on the subscriber's past usage and services, as well as providing an easy way for the customer to accept recommended changes with just a few clicks.

The conversation will focus on why delivering better value for the customer leads to a reduction in bad debt, increased sales and improved customer satisfaction, and will also touch upon the reasons for regulators to mandate the implementation of PRO solutions and why their implementation should be treated as an opportunity to enhance revenue assurance. https://riskandassurancegroup.org/rag-television/ false MM/DD/YYYY 10 OPAQUE admIJMKUozdUtepvJmtf85961

https://riskandassurancegroup.org/rag-television/

Robert Chapman, committee@riskandassurancegroup.org

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