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Platform as a Service

 

Combine big data & MDM in the cloud for end-to-end visibility, insight and action.

 
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Reltio PaaS

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

Reltio Cloud gives you the complete picture by blending together master data and big data across all domains and formats from 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. Reltio Cloud is the first true multi-cloud, multi-model, multi-tenant Platform as a Service.


Modern Data Management PaaS Highlights

Complete Convergence

  • 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 embedded in Operational Processes - Combine reliable profile data seamlessly with transactions through predictive analytics and machine learning

COLLABORATive curation 

  • 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.

COMPLIANT TRACKING

  • 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 change, no matter how small.

Import/Export

  • Data Model Free – Data is loaded into Reltio Self-Learning 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.   
  • Data as a Service - Select the sources you want from pre-aligned, third-party and public data sets. Use DaaS yourself to feed data within your organization or monetize your data to realize a new revenue stream. 
  • 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.


Featured Resources

View All Resources →

 
 
Analyst Reports
 
 

Reltio Named a Leader among Machine Learning Data Catalogs By Independent Research Firm

Report gives company highest possible scores for Machine Learning, Growth, Stewardship & Governance, Collaboration, Security and Planned Enhancements criteria.

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White Papers & Ebooks
 
 

TEN STEPS TO GDPR COMPLIANCE

Effective May 25, 2018, General Data Protection Regulation (GDPR) will represent the most rigorous data protection regulation ever. Complying is not optional, and the penalties are very high. As companies scurry for total compliance, it makes sense to pause, assess, and use this opportunity not only for compliance but for managing customer data efficiently and gainfully.

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Interactive Tools
 
 

ARE YOU READY TO MOVE TO MODERN DATA MANAGEMENT?

Get Estimated Operational Savings By Moving To Modern Data Management.

 
Videos & Webinars
 

MACHINE LEARNING PUTS DATA FRONT AND CENTER FOR BUSINESS

Machine learning is surrounded by fascination and awe. It can drive better personalized experiences with customers, increase workforce effectiveness, and de-risk your organization from security threats and regulations. But, machine learning needs quality data, relevant data, and better context surrounding transactions, interactions, operations and decisions. 

Articles
 
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Businesses Feeling the Heat of the 'Amazon Effect'

Over the past 10 years, Amazon’s market value has grown more than 2,000 percent. The entire retail industry is feeling the heat, and companies are investing in digital transformation initiatives to help them compete. Walmart, for example, is rapidly investing in digital capabilities and online brands (it acquired Jet.com, for example).

Blogs
 
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WHY MASTER DATA MANAGEMENT AND MACHINE LEARNING GO HAND IN HAND

Reltio's inclusion in the The Forrester Wave™: Machine Learning Data Catalogs Q2 2018, by Michele Goetz with Gene Leganza, Elizabeth Hoberman, and Kara Hartig, Forrester Research, June 2018, sparked (pun intended) several questions. Such as why was Reltio included, how did we receive such strong marks, and why were we the only Master Data Management (MDM) vendor in the Wave?