Complete Profiles, Flexible Hierarchies and Relevant Insights for a True Product 360
Accurate, timely and reliable product information is important for a variety of business initiatives, such as detailed market, sales and competitive analysis, leading to better planning for faster product launches and improved supply chain efficiency.
Much like customer information, product data comes from a variety of channels, with multi-dimensional and multi-format characteristics. To truly benefit, companies must not only manage data, but make sense of all this “data noise” coming from software applications inside the firewall of an enterprise, third-party data providers, as well as other sources like social networks.
Traditional master data management (MDM) solutions that only master product data for downstream applications are becoming increasingly inadequate in a dynamic, real-time environment where business users want actionable insights, and not just more data.
Today, companies of any size can cost-effectively deliver accurate, reliable product data to business teams for brand management, competitive intelligence, market basket analysis and segmentation. Characteristics of such data-driven solutions include:
- Managing not just Product Master Data but other entities such as customer, accounts, locations, and policies
- Multi-domain data standardization and entity resolution
- Integration and consolidation of data of varying complexity (including hierarchies and network graphs)
- Providing an operational data-driven application that supports collaboration across teams
- Delivering relevant insights and recommended actions using machine learning and predictive analytics
COMPLETE PRODUCT UNDERSTANDING
A Product 360 data-driven solution brings together data from multiple internal, third-party, public and social sources storing information in a Commercial Graph. The graph is a single repository for not just all your product master reference data, but also transaction and interaction data related to products, such as product sales data, and even product intelligence from third-party data sources to create the complete and accurate picture.
FLEXIBLE HIERARCHIES TO MANAGE COMPLEXITY
Data-driven applications provide the required entity resolution and product standardization across all structured and unstructured data, from internal systems such as SAP, Salesforce, Excel, Word and third-party data you subscribe to and help create flexible hierarchies to manage complex product groups. Flexible hierarchy management and modeling can combine non-product entities, such as customers, locations, transactions, and interactions supporting an unlimited combination of needs across all business teams.
SINGLE SOURCE DRIVING OPERATIONAL EXCELLENCE
Product brand, sales and marketing teams can gain access to product information when it is exported and synchronized with downstream systems. Teams can also manage and access information through data-driven applications containing relevant information and views specifically targeted to their business needs. Intuitive dashboards with easy visual navigation provides customized analysis across any set of dimensions of the product data. It can also be set up to detect new or updated data from sources, notifying various stakeholders of its arrival, proactively uncovering information.
START SMALL GROW BIG
You can rapidly deploy a Product 360 data-driven application specific to your industry and domain focus through the Reltio Cloud, or choose to build up complete data and functionality by solving targeted business problems for multiple organizational units. Reltio data-driven applications automatically share data, so that information is up-to-date, never siloed and always synchronized.
Reltio also provides unique collaborative curation of information by your customer-facing teams. With fine grained workflow and governance you can be assured of getting the most accurate information in real-time. Reltio can also flexibly deliver information to your downstream applications or provide access through embedded widgets within your CRM application.
AT THE SPEED OF YOUR BUSINESS
IT can now deliver value to business faster. Real-time configurable data model adapts to business needs, across any use case, for any industry, without tedious customizations. Your applications come with your data instantaneously blended with third-party sources, so you are up and running quickly. Reltio Cloud is multi-tenant, horizontally-scalable and always available. Deployed in the cloud, you will be up and running faster than you dreamed possible.
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.
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?