Chicago, IL, March 10, 2017– Stephanie Carhee, CEO of Unified Communications Interlink (UCI) and author of The Road to IP Telephony: How Cisco Migrated from PBX to IP Telephony, introduced Wednesday her signature Adoption Analytics™ platform which gets corporations to their Unified Communications (UC) adoption goals 40-80% faster. Leveraging her nearly 20 years of experience in the UC technology industry, including ten years as a Cisco Systems Senior UC Advisor, the secret is in the approach: UCI uses actionable data with three different algorithms based on expert analysis to help companies make smart decisions on their collaboration investment.
Adoption Analytics™ collects the data for these algorithms from the digital footprint left by users, typically seen by companies as indecipherable lumps of big data. The first of these algorithms ties Cisco product features to job roles to create similar categories of user personas. Second, the platform allows mapping of social business connections to allow understanding of how people collaborate between teams. UCI’s final algorithm designs the fastest and most actionable route to adoption or the predictive Adoption Roadmap Graph. With Adoption Analytics™, companies meet their adoption targets faster because it lessens the guesswork involved in getting users to adopt the new technology. Adoption Analytics™ compiles the information critical for adoption and packages it in an intuitive and useful format, providing companies the insights necessary to accelerate change and predict behavior.
During her time at Cisco, Carhee showed the world how to build a strategy to get 69,000 employees to adopt IP Telephony. “The inability to maintain valuable employee preferences and technology consumption patterns is what slows down companies’ ability to consume technology and realize true transformation,” Carhee claims. “Adoption Analytics™ data has thusly become incredibly valuable to many of our IT and Business Stakeholders who want more out of their business applications. The insights, business metrics, and meaningful intelligence we can capture and translate are a true game changer.”
Many corporations buy analytic software only to find out it merely monitors the use of their business applications without providing any real business insights. The power of this new approach relies on analytics as a business tool to understand and improve upon the behaviors necessary for complete technology adoption.
“If we can help companies understand the needs of their workforce better, then we can design better experiences, improve job performance and increase productivity,” Carhee says.