This Denodo session explores the power of data virtualization, shedding light on its architecture, customer value, and a diverse range of use cases. Attendees will discover how the Denodo Platform enables seamless connectivity to various data sources while effortlessly combining, cleansing, and delivering data through 5 differentiated use cases.Architecture: Delve into the core architecture of the Denodo Platform and learn how it empowers organizations to create a unified virtual data layer. Understand how data is accessed, integrated, and delivered in a real-time, agile manner.Value for the...
Read MoreLogical Data Fabric
The importance of finding a use case and building on it, relying on experts, or seeking continuous improvement to ensure optimal use of the solution, are some of the lessons learned from Mapfre during this journey.
Read MoreDenodo Platform enabled improved customer engagement and retention, significant upsell of additional policies for each household, and reduced cost and increased productivity of customer service, while also reducing costs and increasing productivity through application modernization.
Read MoreMapfre had a goal of greater customer engagement through responding to the needs of its customers’ households and other family members, and offering discounted policies and packages of policies that are fit-for-purpose for life changes and situations facing them.
Read MoreMapfre started from a product vision in which there was a lack of data uniformity, as well as data dispersion, among other challenges. The number of legacy systems and applications grew as Mapfre’s business grew, covering different insurance products and customer-facing business processes including claims, underwriting, marketing campaigns and customer service.
Read MoreTaking customer experience to the next level with Logical Customer 360
Read MoreTaking customer experience to the next level with Logical Customer 360
Read MoreMPP integration within a Logical Data Fabric
Read MoreFor Energy and Utilities companies to transition into data- and AI-driven entities, their success depends on efficiently integrating data from an expanding array of sources in a timely fashion. This necessity has evolved into a critical mission to establish a robust data foundation characterized by high quality, security, and compliance. This foundation serves as a catalyst for generating insights, recommendations, and predictions. By building upon this foundation, these companies can develop the necessary insights to modernize grid networks, adopt cost-effective renewable energy sources,...
Read MoreAccelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.Join this session to learn:How various AWS services (Redshift, S3, RDS) can...
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