Pretty visualizations are eye catching, and help with decision making. But getting reliable profile and relationship data into big data stores, for analysis is a cumbersome and expensive process. Beyond the initial data modeling and mapping required, companies also struggle with the inability to make real-time changes that reflect their business needs across data management and analytics environments.
The days of separate master data management (MDM) systems feeding disparate analytical reporting tools for discovery and operational applications for data capture are numbered. Today, reliable data, relevant insights and recommended actions via machine learning can be combined into one, single cloud application, delivering analytical intelligence and operational execution.
Reltio IQ seamlessly connects data, mastered and managed within Reltio Cloud, together with Apache Spark on demand, to quickly enable agile and closed-loop predictive analytics. This not only provides for faster Time to Analytics (TTA), but more relevant and accurate information that companies can rely on.
A Smarter Way to Recommendations
RELIABLE DATA FOR ANALYTICS & MACHINE LEARNING
Reltio puts all information you need for analytics, and the use of machine learning in one place, accessible in real-time. Reliable and accurate data from master profiles, interactions, transactions, third-party, public and social media sources is consolidated for deeper analytics. When analytics run on a reliable data foundation, organizations can make better and informed decisions.
CLOSE THE LOOP BETWEEN INTELLIGENCE & ACTION
Reltio IQ brings aggregated analytics back to master data profiles to enrich and improve data. Unlike analytics-only tools, Reltio’s bidirectional connectors support bringing back aggregated IQ scores and recommendations to master data profiles, and offer recommendations to users of data-driven applications.
ALL AT THE SPEED OF BUSINESS
Faster correlation of accurate, up-to-date profile data with transaction data from multiple sources makes deployments quick and simple. Pre-configured connectors to analytic environments make leveraging reliable data easy. Data is made available to analytics apps, and machine learning algorithms in near real-time. Deployed in the cloud, you’ll be up and running faster than you dreamed possible.
FLEXIBILITY FOR DYNAMIC BUSINESS
With Reltio IQ (Formerly Reltio Insights), you can enable traditional and non-traditional analytics on a single reliable source of structured, unstructured and graph data. Automated updates of business model changes help keep up with dynamic business environments. Support for multiple representations of data based on algorithms and inference helps contextual presentation of recommendations. Reltio Cloud is multi-tenant, horizontally-scalable and always available. Companies can scale-up and scale-down, on demand and use compute power by type of analytics process.
10 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.
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.
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).
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?