![]() Our +120,000 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Techniques to engage business users in highly complex design and build efforts.ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation.ĮNGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years.ģ,300 employees around the world develop our solutions, through +20 international business platforms.Specific approaches and methodologies for use case development, software selection, and Agile planning and integration and. ![]() The value of graph databases to unite content (ranging from structured to unstructured) and surface key connections.It will also include the proven methodology applied to engage business users in the design process, helping to drive the adoption of this highly formative new tool for the large retailer.Īttendees of the session can expect to learn: This detailed case study will walk through the retailer's journey, including the early stages of planning, software selection, Agile design and development, and ongoing iteration to add new features. To address this long-standing challenge, this retailer developed a graph database to bring together diverse content and surface it via a semantic search and entity association engine. Though the content itself was of high value, it was too often hidden in siloed systems, or difficult to find due to lack of integration across platforms. Does Master Data Management have a future?įor years, a notable large retailer has been struggling to manage a vast array of the learning content of different types, formats, and systems.Changes in Master Data Management for Modern Data Architectures.Master Data Management and why we need it.Modern MDM isn’t just focused on analytics but a broader group of operational stakeholders and leveraging emerging data technologies such as machine learning and artificial intelligence as well as older technologies like graph, that is coming into it’s own in critical areas such as MDM and metadata management. The need for Master Data Management systems was broadly recognized in the 1990s, although some industries always had the capability since they had computer systems. “Master Data Management” has been an important capability in most organizations since well before there were computers (all businesses need to manage their customer lists). Is Master Data Management still needed? Has it been replaced by other modern architectural solutions? MDM as a capability is still a critical part of every enterprise application architecture but the technologies used to accomplish it are changing: supporting a broader group of use cases, becoming faster, and (hopefully) less expensive.
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