Having a holistic understanding of a customer, and all their interactions with your organization, enables a business to prevent churn, maximize renewals and minimize customer acquisition costs. xDM brings the semantic consistency to gather CRM, ERP, Product, and other systems, pulling relevant transactional and analytical data to help make better decisions, protect the brand, and maximize loyalty.
Mastering all phases of a product, from design to supply chain to product hierarchy and beyond is key to maximizing production and development efficiency, handling interactions with involved third-parties, and maintaining control over the brand. xDM brings the semantic consistency to harmonize data that may reside in ERP, SCM, logistics, and other systems, right down to product descriptions, pricing tables, etc. All of which can be managed by a business user with no specialized training.
Striking a balance between access to information for business users, and the privacy and audit control required to maintain effective information governance can’t be an “all or nothing” battle. Achieving operational efficiency, while limiting the possibility of fraud or other losses, and guaranteeing regulatory compliance is a business imperative. xDM has been built from the ground-up with a flexible, collaborative data governance model that is fully integrated with hybrid domain, style, and MDM use case. From day one of a Proof-of-Value, through the iterative implementation process governance is a core component–not an afterthought.
Data beats within the heart of an enterprise-from order management, manufacturing, and purchasing to billing, Accounts Receivable/Payable. Mastering this type of data goes beyond integration—it requires a unified discipline that simultaneous insures streamlined reporting and powers analytical decision support systems. xDM brings the semantic consistency to gather your ERP, facilities management, HR, and other systems, while providing the flexibility of standard API-based integration or an easy, business-centric application interface to governing any kind of data.
Data from sensors, actuators and systems makes up 80% of the zettabytes produced by enterprises daily. Matching this data in a meaningful way to bring analytics, data science and smart systems online is a burgeoning MDM challenge that requires capabilities far beyond the conventional legacy systems that grew out of vintage product information management (PIM) systems. xDM is uniquely equipped to handle data streaming out of devices that can be captured, refined and rationalized to power the next-generation of management, optimization and analytical systems.
The Gartner Data & Analytics Summit 2017 was the culmination of the Business Intelligence, Analytics, Master Data Management and Enterprise Information Management thought-leadership conferences put on by Gartner over the past several years. It was appropriate, then, that Paul Balas – VP & Chief Information Architect for Digital Realty was on hand to talk about how all of those technologies come together.
To use the potentially massive volumes of data for productive purposes, there is a need to ingest, capture, prepare, manage, and analyze that data in a way that ensures predictable and acceptable levels of data fidelity and usability.
This paper looks at the impact of uncontrolled master data and data anomalies to explain why managing your data effectively is so important. It then looks at what happens if you don’t do anything about data anomalies, which often happens when business professionals don’t understand why data management is relevant to their job. It recommends actions to maximize business value from master data and how MDM can be integrated into existing operational and analytical environments.