modern Data Management Platform as a Service (PaaS)
IT can now combine big data and master data management in the cloud for end-to-end visibility
Today's Master Data Management (MDM) solutions have advanced modestly over the last 10 years. While some have turned to the cloud to improve efficiency, others offer single customer domain, "all-in-one" integration focused on solving data quality problems in transactional applications such as CRM. Unfortunately enterprises that use these MDM-only solutions or remain with legacy MDM systems are being held back and missing the big picture.
Similarly, enterprises that use tools to analyze and visualize big data, without correlation back to accurate master dimensions have no guarantees that their answers are reliable.
Reltio Cloud gives you the complete picture by blending together master data and big data across all domains and formats from any internal, third party, and social media sources, creating a unified view of information through a modern data management Platform-as-a-Service (PaaS), delivered directly to business users via data-driven applications.
Modern DATA MANAGEMENT PaaS HIGHLIGHTS
Profiles - Cleanse, match, merge/unmerge data of any type and domain; people, organizations, customers, suppliers, employees, locations and products
Hierarchies, Affiliations & Relationships - Discover and manage legal structures; organizations, reporting and product hierarchies, complex affinity and influencer relationships
Transactions and Interactions - Onboard and connect multichannel application and social data
Analytics - Combine reliable profile data seamlessly with transactions through predictive analytics.
Collaboration - Use social or structured workflows, with attribute level annotation and discussion threads to allow frontline business users to contribute to data completeness and quality
Ratings - Rate and rank profiles, hierarchies and relationships based on quality of data, or level of engagement
Tags - Manually/programmatically (via machine learning) tag profiles and relationships for ad hoc affinity clustering
Groups - Perform manual and rules-based segmentation
Source Crosswalks - Manage identifiers from a variety of contributing data sources for ongoing updates and downstream data distribution
History & Lineage - Compare bi-temporal point-in-time views of historical data and changes down to attribute level granularity
Audit Trail - See the reasons for any data changes no matter how small
- Data Model Free – Data is loaded into Reltio Commercial Graph which stores and indexes an infinite number of attributes and relationships, from structured or unstructured sources. It's a modern database that blends the scalability of the Apache Cassandra columnar store with the flexibility of graph technology
- Microservices and REST APIs - Reltio provides microservices for data and metadata operations, implemented through REST APIs they can be used to distribute data to downstream systems, and easily enhance existing or create new data-driven applications