You are here

TAG REFERENCES

Showing 1 - 10 of 33 pages tagged with: Use Cases
Large American Financial Holding Company Supports Regulatory Compliance with an Agile, Modern Data Architecture
This large financial holding company based in the United States has crossed $50 billion threshold in assets, with the latest acquisition of a retail bank, making it a systemically important financial institution and subjecting themselves to stringent regulatory oversight. To meet compliance requirements, the company needs a controlled data environment to enable intercompany data transfers with a complete understanding of lineage from source to destination. Data virtualization from Denodo enables this finance company to create a Data Services Layer with the agility to integrate new data...
Autodesk Uses Denodo Platform as Logical Data Warehouse
Autodesk created a single, unified enterprise access point for any data used within the company by using Denodo data virtualization as a logical data warehouse. Download this case study to learn how this strategy successfully transformed their revenue model from perpetual licensing to subscription based licensing and improved their entire organization's agility, performance and profitability.
Vizient Cuts Costs and Improves Member Services Using Denodo Data Virtualization
Vizient is the largest member owned healthcare company in the US, delivering industry-leading supply chain management services and clinical improvement services to its members.They grapple with more than 1 billion detailed line item spend data, 110 million detailed patient records, 9 million products with 100 million cross-references, and 110,000 non-acute care customers, submitted each month.The Sales Operations team needed various types of reporting, such as opportunities, leads and member-related reports. Additionally, they needed to analyze opportunity-to-outcome, member-to-product and...
The Governed Data Lake – Putting Big Data to Work
Data lakes are en vogue, especially when you based it on avant-garde in-memory technologies such as Spark. However, these investments don’t deliver the anticipated benefits when they are not properly governed in conjunction with legacy data warehouses and other data source.In this presentation, the Enterprise Architect at Autodesk, Mark Eaton will present:The philosophies behind agile, modern (Spark-based) data architecturesHow to use a logical data warehouse/ data lake as part of the data governance strategyBuilding an information architecture – dos and don’tsThis session is part of the...
Modern, Agile Data Architecture for IoT/ Streaming Analytics
The Internet-of-Things is further evolving to Internet-of-Anything. Organizations are empowering business users with actionable intelligence derived from, data-in-motion, data-at-rest, and enterprise applications. But integrating the data across all of the data sources requires a modern, agile data architecture.In this presentation, the Director of Product Marketing at Hortonworks, Anna Yong will present:The different types of data – in motion, at rest, and in enterprise appsHow to build a modern, agile data architecture to deliver actionable intelligenceCustomer use cases and best practices....
Enterprise View of Data with Semantic Data Layer
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 a conglomerate operating different businesses across eyewear insurance, manufacturing, and retail. They are integrating the silos using a semantic data layer.In this presentation, the Enterprise Data Architect at VSP Global, Tim Fredricks will present:The challenges associated with data siloed across different LOBsHow to build a semantic data layer using data virtualizationCentralizing business rules in the data...
Centralizing Data Security with Data Virtualization
Security can be a key concern when data is spread across multiple systems residing both on-premise and on the cloud. Asurion has leveraged data virtualization to use it as a single engine for security control over the data sources. This also helps facilitate transition to modern cloud-based data architecture.In this presentation, the Enterprise Architect at Asurion, Larry Dawson presents:The challenges associated with centralizing security across on-premise and cloud data sourcesHow to build a single engine for security that provides audit and control by geographiesHow to build modern cloud-...
Track Keynote: Accelerating Self-Service BI with Logical Data Warehouse
Business intelligence is a critical requirement for understanding business operations and taking timely decisions to stay competitive. However, it can be a challenge if business has to depend on IT to customize the reports every time, thus delaying the timely availability of insights. Self-service BI is needed to address this issue.In this presentation, the VP of Data Warehouse at Seacoast Bank, Mark Blanchette will present:How existing BI systems that are inflexible can constrain the availability of insights to businessBuilding a logical data warehouse as the enterprise data warehousing...
Big Data Virtualization in the Cloud
Many firms are adopting “cloud first” strategy and are migrating their on-premises technologies to the cloud. Logitech is one of them. They have adopted the AWS platform and big data on the cloud for all of their analytical needs, including Amazon Redshift and S3.In this presentation, the Principal of Big Data and Analytics team at Logitech, Avinash Deshpande will present:The business rationale for migrating to the cloudHow data virtualization enables the migrationRunning data virtualization itself in the cloudThis session also includes a panel discussion with:
Modern Data Architectures: Deploying Data Virtualization at an Enterprise Scale
Modern data architectures provide agile business solutions at a faster pace. Intel built a modern data architecture with data virtualization at its core for not just one, two, or three projects but a host of them that span the entire enterprise and support important business operations such as supplier lifecycle management.In this presentation, the Enterprise Architect at Intel for data virtualization, Josh Wise will present:The need for agility and speed in a large enterpriseHow Intel built a data virtualization architecture at an enterprise scaleDos and don’ts of building a data...