Customers, patients and employees today demand experiences that are seamless, secure, omnichannel, on-demand, and personalized. To meet these increasing expectations, organizations need to overcome organizational, technological, and cultural challenges.

Journey Analytics is the solution that helps you understand and transform your journeys, at scale. Our offerings use analytics and design thinking to deliver up to twice the impact than traditional survey-based continuous improvement programs across satisfaction, financial, commercial, and strategic metrics.


+ 25% increase in digital activities

+ 25% increase in digital activities

+ 35% boost to sales conversion

+ 35% boost to sales conversion

+ 25 pt increase in customer satisfaction

+ 25 pt increase in customer satisfaction


Answer strategic questions using advanced analytics on connected journey data

Deployed Applications

Personalize customer interactions through deploying machine learning algorithms. This next-best-action engine drives better outcomes from customer journeys

Journey Sciences Cloud

Provide a pre-configured journey analytics platform (Argon-X) with data, data science tools and custom journey visualization

Custom Analytics

Build smarter prediction models, segmentations and follow-up strategies based on journey data, ethnographic research, deep learning and machine intelligence


Support customer experience transformations with analytics and design


Define, identify and prioritize journeys based on value potential and relative importance through individual customer analysis, interviews, and benchmarks


Quantify the journey redesign process with a combination of customer analytics and in-market idea testing with a detailed business case and implementation plan



Maximize the impact of agile implementation sprints and long-term success of the redesigned journeys with embedded customer insights and journey metrics


Predictive Analytics Can Improve Revenue

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Healthcare is about providing critical services to people, but as any hospital chief financial officer or revenue cycle manager knows, providers that can’t pay the bills won’t be able to help any patients once [...]

Using Predictive Analytics in Healthcare

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Given the current economic climate and continued scrutiny on the state of the healthcare industry, hospitals and physician practices must learn to adapt their business practices or continue to fall behind the curve in [...]

Healthcare Fraud Prevention With Analytics

September 20th, 2020|0 Comments

Healthcare Fraud: The Numbers Healthcare is a $2.7 trillion industry in the U.S. alone, and it is estimated that one-third is lost due to different forms of waste, mismanagement, and abuse. Waste includes such [...]

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