The efficient path to an integrated customer experience
Deep knowledge about customers with actionable recommendations
Customer touchpoint analytics is a solution specifically for sales, marketing, service and customer analysis. An AI engine constantly scans and links the data and detects customer risks, revenue potentials and leading indicators for specific customer behavior. Based on this metadata, the AI proactively generates recommendations that improve daily operations. For instance, the customer journey can be steered proactively with next best actions.
Predictive insights into revenue potentials and hidden risks
Customer touchpoint analytics enables faster and deeper analysis of a wide variety of data structures and types (e.g. tables, text, images, IoT). A key component in this area is machine learning and advanced analytics. These technologies make critical patterns, early warning indicators and untapped revenue potentials with customers or processes transparent. The way data is stored and managed make it particularly flexible. Solutions can be built incrementally in shorter iterations. Data scientists can realize truly agile data science projects.
A foundation built on open standards
Customer touchpoint analytics encompasses knowhow and best practices that save valuable time during projects and lower risks significantly. Because the underlying technologies are de facto industry standards, there is no vendor lock-in and dependence. The platform can be extended and customized freely. For instance, it can be used as a staging area to feed third party business intelligence systems.