The Total Economic Impact of Verint
Live Date: August 24, 2021. PLEASE SIGN IN FOR THE RECORDING.
Presented by Tracy Malingo, Global VP & GM, Intelligent Self Service, Verint
and featured guest Dean Davison, Manager, Principal Consultant, Forrester
About the Webcast
The pace of digital transformation has been so fast, organizations are challenged to choose which new innovations and automation technologies to invest in. What’s the ROI of these new solutions? According to a new Forrester Consulting Total Economic Impact™ study commissioned by Verint, customers of Verint Customer Engagement Solutions (CES) can benefit from a 391% ROI over three years with a payback period in under 6 months.
Join our speakers for a one hour webinar to discuss the study findings and just how this ROI can be achieved. For example, Forrester calculates Verint CES customers:
- Deflect up to 45% of calls to less expensive channels
- Improve contact center efficiency by up to 44%
- Increase agent productivity by up to 20%
- Increase CSAT scores by 2 to 3 points annually.
Attend the webinar to learn more.
About the Presenters
Dean Davison, Manager, Principal Consultant, Forrester
Dean has extensive experience in the buy side of technology, advising customers in purchasing and implementing solutions, including interacting with CIOs on six continents. His experience also includes sell-side work in sales-focused marketing functions such as pricing strategy, competitive intelligence, product marketing, customer insights, and market analysis.
Tracy Malingo, Global VP & GM, Intelligent Self Service, Verint
Tracy provides strategic and operational vision on the company’s extensive and innovative conversational AI-suite. She believes in delivering intelligent solutions to customers and employees so they can build trusted relationships and unlock value together. Previously, Tracy was president of Next IT, where she guided conversational AI into the mainstream. Tracy’s compelling blend of business acumen and technical expertise enables her to relate to all elements of the industry and articulate the need for machine intelligence throughout an organization.