For those who have an enterprise license, this session, led by CallMiner Customer Success Directors and Business Intelligence Analysts, will provide clever and unique ways to use the wildcards, location operators, distance operators and others in your syntax to supercharge your queries – using # of words, # of seconds or % with location operators to isolate when events happen.
Learn how State Collection Services has introduced and operationalized real-time automated quality monitoring through EurekaLive.
CallMiner product manager-led session will present ingredients for success and use case samples from the API Cookbook.
Program owners will discuss how they are using gamification techniques and competitions to motivate and engage agents and teams to improve performance and strive for excellence.
This session will cover how you can use analytics to identify the events in an interaction and tipping points where the level of effort changes, discover the sequence of the events, develop consumer and agent profiles, and understand level of effort in addressing objections and how to identify verbal cues.
This session will feature best practices from Mercedes-Benz Financial Services for successfully migrating English scorecards to Spanish. These best practices would have application when migrating from any language to another.
Impersonators, fraudsters, identity thieves all pose serious problems for our contact centers, business, and customers. Combining advanced speech analytics with voice biometrics provides the killer combination required to stop perpetrators in their tracks. In this joint presentation from Nuance and Axcess Financial, presenters will:
– Demystify the world of fraud with key practices and definitions
– Share a case study for how Eureka is being used today to identify potential fraudulent activity
– Discuss how Voice Biometrics works with Speech Analytics to provide a full circle solution to identify known fraudsters and identify unknown/potential fraudsters
Attend this session to learn about leveraging analytics for predictive modeling to increase sales and collections based on past results.
Phillips & Cohen will share their CallMiner international expansion experiences and best practices.
This session will cover how Otter Products is utilizing voice analytics to extract valuable product information from warranty interactions to drive business insight. This product information and the corresponding process changes are driving incredible change within the company through identification of unique product issues and increased cross functional engagement.
You’ve been using speech analytics for three-plus years and you’ve addressed all the low-hanging fruit and several other issues. Now what? In this session we will discuss what you and your peers are doing for a second circuit? In some cases that means going back to basics.
This session will walk you through the discovery of fraud all the way to detection. Allyson Keown from Axcess Financial will walk you through her approach to profile the fraud tactics and how she is now detecting fraud behavior using categories and scores within Eureka.
Real Time monitoring goes well beyond simply compliance. Customers are also implementing and incorporating real-time analytics to improve customer outcomes as well as accelerate training and on-boarding of new agents. This session will also include EurekaLive tips, tricks and lesson learned.
Grab lunch and head for the Sea Side/Sea Shore room for this session.
This session will feature a case study from Vivint on how they are using the CallMiner API to automatically upload audio files to Eureka and the bring the results back into their data warehouse, without manual labor! Vivint is also using BI software to turn all of the call analytics data into custom web reports, automatically.
Attend this session to learn about leveraging analytics for predictive modeling to create profiles for better matching agent skills to types of callers and ultimately reducing both agent and customer churn.
This session will cover how you can use Interaction Analytics to measure and improve new hire training. Are there QA augmented processes put into place or automated scorecards with gradiant score requirements for your new hires to help understand when/if they are ready to join the general call center populous? Also, are there situations where you use Interaction Analytics either in a score or other fashion to help with skills based routing? Are you identifying behavior strengths that align agents better for a certain type of work within your call center organization – like merit increases, warnings, and more?