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EDM for Energy: Data Hub
Energy firms face significant challenges integrating data from the disparate applications, databases and vendors they rely on, due to the heterogeneous formats used. Differences in business rules raise questions about the consistency and quality of data from the different systems used for everything from geoscience analysis to drilling operations. Meanwhile, changes made to data in one system may not be reflected in others, leaving users exposed to the risk of basing their decisions on outdated information.
EDM’s Data Hub solution addresses these challenges by consuming, validating, cleansing, transforming and distributing data irrespective of source, format or destination. Replacing often complex, manual, code-based solutions, EDM provides a single hub of data across the organization. Source-to-destination workflows are greatly improved, giving users confidence in data integrity.
With its hub and spoke model, EDM supports business intelligence and data analytics tools, integration with new technologies, multiple data models, and quality assurance. By improving the flow of high-quality, trusted information between sources and consumers, the platform delivers data optimization and a simple pathway to expansion.
EDM can be implemented on premise, in the cloud or leveraged as a fully managed service deployed in the cloud. The latter option enables firms to reduce implementation times, future-proof, optimize expenditure and scale up and down quickly as business needs change.
Key benefits
Data centralization and MDM
EDM replaces costly legacy solutions with a single platform that provides connectivity across data sources to support efficient data management and maximize data value. The platform automates master data management (MDM) - aggregating, validating, persisting, matching, mastering and distributing data to third-party and proprietary systems.
Data control and consistency
Users have the ability to select, enrich and use relevant data through workflows with full audit and automated exception management. EDM ensures all users, irrespective of location, are working from the same underlying data, avoiding costly discrepancies and misunderstandings.
Auditability and data lineage
Users can track data back to its raw source format. They have access to an audit trail of changes to the data through business-driven user interfaces. Visibility into enrichment and mastering workflows provides improved data governance.
Data and data model agnostic
EDM is agnostic to both data format and structure, and does not impose a fixed data model. It allows users to add enrichments as required and transform data to provide a consistent comparison.
Client Case Study
Experts
Nathan Amery
Mr. Amery heads the rapidly growing EDM for Energy business with operations in North America, Europe, the Middle East and Asia. Prior to joining S&P Global, he held sales management roles at energy and commodity technology firms including Triple Point Technology, Updata and Trayport where he was responsible for client growth and launching new products and services. Before this, he founded his own technology and media company following work at JP Morgan and Schroders Investment Management.
Natalia Isajenko
At S&P Global Market Intelligence, Natalia leads a global team of consultants who are responsible for the delivery of software solutions and other types of professional services to S&P Global Market Intelligence customers worldwide in Financial Services, Energy and Maritime & Trade. Ms. Isajenko and her team are passionate about delivering best-in-class customer experience. Through professional services engagements, they help S&P Global Market Intelligence customers improve operational flows; increase the quality and timeliness of reporting; and make efficient decisions based on high-quality data.Prior to joining S&P Global Market Intelligence in 2018 as EMEA Head of Professional Services for EDM, Natalia led operations and consulting teams at a number of other software and related vendors.Natalia holds a degree in Engineering Informatics from Vilnius Gediminas Technical University in Vilnius, Lithuania.
Kay Sutter
Since 2018, Kay Sutter has supported the expansion of our workflow automation platform, EDM, into the energy industry.Kay brings over 30 years of petroleum industry software product, training, and consulting experience to EDM. She is focused on helping the EDM team solve customer business problems through technology and data governance best practices.
Benin Chelinsky
Benin Chelinsky is Head of Product for EDM for Energy, our workflow automation offering for the energy industry. He is a business leader and innovator focused on building great teams that create great products, which solve problems for customers. He has diverse experience in petroleum engineering, working in QRI and overlooking field development projects in Colombia, Peru and Mexico. He was also a product manager overlooking a multimillion-dollar software portfolio at Schlumberger.Passionate about teaching and mentoring, he conducts a one-day production engineering class for the students of the University of Oklahoma every semester.Benin holds a Bachelors in Chemical Engineering from BITS, Pilani, and Masters in Petroleum Engineering at the University of Tulsa. He is currently pursuing his professional MBA at the Kellogg school of Management, Northwestern University.
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