Informatica Customer 360 Insights 2019-3 – an AI powered, data hub for customer engagement has been released to shipping and is available immediately.


Customer 360 Insights connects and enriches all customer data to create a contextual 360 view that powers digital transformation initiatives including personalized marketing and deep analytics. Customer 360 Insights enables B2B and B2C organizations to:

  • Resolve customer data and create relationships using advanced Machine Learning algorithms
  • Infer customer attributes from unstructured data using Natural Language Processing (NLP)
  • Visualize relationships, households and complex B2B hierarchies using a graph data store
  • Present multiple perspectives of the customer based on unique users and use case context


Customer 360 Insights 2019-3 delivers enhancements to the user experience with enhanced tools for integration, automation, and matching. With this release, users will now be able to configure the solution more easily and will observe improved matching performance. In addition to the full capabilities of Customer 360 Insights, some of the innovations included in the release are:

  • Improved Configuration Manager: Customer 360 Insights provides OOTB capabilities for business-defined customizations. 2019-3 introduces an enhanced web-based tooling to manage user-driven customizations according to business requirements. Users are now able to easily customize backend configurations including data models (attributes and business objects) and data source modeling via sleek UIs
  • Improved Match Training: Matching within Customer 360 Insights is based on an iterative process. This release introduces an Impact Analysis report to determine optimal match configuration. This feature also provides additional user control over the execution of the Genetic Algorithm (users can now stop run to perform additional training as needed)
  • Rule Based Publishing: Customer 360 Insights now supports rule-based publishing using which users can define rules to publish messages onto a Kafka queue and/or HDFS (based on configuration). This feature allows businesses to achieve multiple use-cases aimed at delivering proactive notifications. For example, banking clients can customize this feature to raise an alert when a customer account balance drops below a defined limit (indicator of churn)
  • Key-based Deterministic Matching: Customer 360 Insights supports key-based deterministic matching as a step prior to probabilistic matching to reduce data redundancy. This functionality tremendously reduces the load on probabilistic matching and notably increases the speed and effectiveness of match training
  • Re-branding: As a continuation from previous release, AllSight UIs have been re-branded to align with Informatica standards for a consistent user experience


Informatica Customer 360 Insights 2019-3 Release Notes


PAM for Informatica Customer 360 Insights 2019-3