As published by James Taylor at http://jtonedm.com/2017/04/04/first-look-reltio-cloud/
Reltio Cloud is a modern data management Platform as a Service (PaaS) company focused on delivering data-driven applications, founded in 2011 by folks from Siperian which was acquired by Informatica. Unlike most data integration and MDM platforms, which are IT-focused, Reltio’s mission to make it possible for business and IT teams in enterprises to “Be Right Faster” by building data-driven enterprise apps that deliver reliable data, relevant insights and recommended actions. They compare these applications, based on broadly sourced, cross-functional data, with the traditional approach that delivers process-driven and siloed data. With data-driven applications contextual, analytical and operational data can all be brought together. This requires a reliable data foundation.
Reltio Cloud is a Modern Data Management Platform as a Service (PaaS) and it includes:
- Master Data Management as the core for delivering a foundation of reliable data
- Predictive Analytics and Machine Learning through the inclusion of Apache Spark in the platform
- A Graph Model allows for network and analysis integration across highly variable data sources
- Big Data Scale and Performance so that transaction and newer data can be managed not just customer data
- Workflow and collaboration capabilities to manage and curate data
- Data as a Service is core to the platform so that third party data services can be easily integrated.
The graph schema is key to Reltio, allowing them to store both entities and their relationships in a semantically rich way. Data is stored in a combination of Apache Cassandra, graph technology, and in-memory structures such as Elastic. It offers an extensible structure for an organizations entities and relationships. The Reltio cloud collects data from multiple sources, matches, merges and relates them to create these relationship graphs and these graphics then underpin the data-driven applications being developed.
Reltio IQ (Formerly Reltio Insights) shares objects (built from the profile and transaction data) with Reltio Cloud and analytics environments like Spark (either the Reltio platform or a customer’s own) to create analytic insights. These insights then get integrated with the master data so that these can be made available to data-driven applications. Reltio Insights is designed to rapidly provision master and transactional data into a Spark, environment. The resulting analytic insights are available throughout the Reltio environment, added to the data e.g. a customer’s churn propensity becomes an attribute of the customer profile.
The applications themselves can offer several different views – for instance, some users such as data stewards might see where the data came from and be able to interact with it to clean it up while others might only see the final, integrated view. A standard feature of the app is to visualize relationships, based on the underlying graph models. Some simple analysis, such as distribution of transactions by channel, can be easily included as can the results of more sophisticated analytics. Anything available in the Reltio data platform can be collaborated upon, managed and updated through data-driven operational applications. The data can then be used to drive analytical model development and provision the data to other operational applications. In addition, everything is tracked for audit and change purposes and the workflow engine can be used to manage requests for updates, changes etc.
Everything in the platform is available as HTML 5 widgets so that additional content like Google maps, can be easily embedded, and this means that Reltio content can also be easily embedded elsewhere. Many customers take advantage of this to mix and match Reltio content in other environments and vice versa. Similarly, all the data in Reltio Cloud is available from a REST API for use in all legacy operational and analytics systems.
You can get more information on Reltio here.