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Achieving the goals of real time analytics in today's increasingly complex enterprise data environments poses numerous challenges. Most organizations today require efficient access to integrated data assets across a wide variety of on-prem and cloud data sources.
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Presentation by Philip Russom, Ph.D. Independent Industry Analyst for Data and Analytics (Formerly an analyst with Gartner, TDWI and Forrester).
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In this video, Paul Grooten, Former Data Architect from Statistics Netherlands explains why they chose the Denodo Platform to help solve their business challenge. Statistics Netherlands needed to find a way to share their 10,000 data sets easily and securely to both their internal and external users.This customer case study video will cover:
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UCB is a global biopharma company well known in the field of immunology and neurology. UCB wanted to build data centric business use cases such as a 360 degree view of the customer, trend analysis in hiring, efficient resource allocation etc. It also wanted to move away from a ETL classical approach for solving its data integration challenges which included pulling data from multiple sources.
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Nobody needs to tell organizations dependent on supply chains that recent times have been full of uncertainty. Disruptions, economic challenges, global crises, and sudden changes in consumer demand continue to test resilience and agility.
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Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources.
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In this video, Mark Blanchette, VP of Business Technology and Data Management at Seacoast Bank discusses why they chose the Denodo platform to create their logical data warehouse and the benefits they have realized.This customer case study video will cover:
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In today’s world, management of data can be a major challenge. For many systems, including SAP, data in real-time and integrating it with other disparate sources has historically been difficult to accomplish. The traditional Data Warehouse approach can also be quite expensive to keep data fresh and control access to meet new and future data protection requirements.
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Gaining an enterprise view of the data across different independent lines of businesses is difficult when the operations, systems, and data are inherently siloed. VSP Global is integrating the silos using a semantic data layer.
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See our logical data management page for an overview of the Denodo Platform’s approach, and learn how it delivers data to business and technical users at the speed of business, as well as how it delivers AI-ready data to AI applications, in real time.

Watch this 3-minute logical data management explainer video to see how, in an AI-driven world, logical data management delivers a consistent, trusted, and secure way to unify, access, and share data across your organization.

Download O’Reilly’s The Rise of Logical Data Management (complimentary) to learn how logical data management works, covering semantics, scalability and performance, data governance and security, and more.

Read The ROI of Using the Denodo Platform alongside the Modern Data Lakehouse, an independent study conducted by Veqtor8, which found that leveraging the Denodo Platform alongside a data lakehouse boosts ROI by 345% over operating a data lakehouse on its own.

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