The direct path to a 360° customer view and data science capabilities
A foundation built on open standards
The Customer Data Lake is a preconfigured implementation of proven big data technologies (Hadoop, Spark and others) that are in use around the globe. The implementation contains 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 customer data lake can be extended and customized freely. For instance, it can be used as a staging area to feed third party business intelligence systems.
Predictive insights into revenue potentials and hidden risks
The Customer Data Lake 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 in a data lake make it particularly flexible. Solutions can be built incrementally in shorter iterations. Data scientists can realize truly agile data science projects.
Deep knowledge about customers with actionable recommendations
The Customer Hub an extension of the data lake specifically for sales, marketing, service and customer analysis. An AI engine constantly scans and links the data inside the data lake 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.