Self Service Analytics

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...

BARC Survey Findings and Open Discussion

BARC Survey Findings and Open Discussion

Is data mesh a sustainable approach to data responsibility in the business?

Presented at Collibra Data Citizens 2022At Cymer/ASML, the data assets are distributed across the company, starting from machine data generated from the customer fabrication sites and the business process data generated from the internal processes across internal manufacturing, supply chain, inventory, service & support lines.Join Ravi Shankar, Senior VP and CMO at Denodo, as he sits down with Dr Sathyan Munirathinam, Principal Architect, IT Data Services and Analytics Platforms at ASML, the innovation leader in semiconductor industry, to discuss how ASML is using Denodo's logical data...

We all heard about Self-Service initiatives, or maybe even implementing one. With the evolution of data landscape we have become data driven, when we should be information driven. Data without context lacks meaning. Data meaning is what drives the valuable business insights. We need to drive our consumers to the right information, while providing guided and governed experience across diverse consumer community.Attend and Learn:What it takes to make Self-Service initiatives successfulHow Governed Data Service Layer enables guided data discovery

Semantics has been a topic often associated with academia with little impact in the analytics world. However, that tendency is starting to change, fueled by self-service and data democratization initiatives that broaden the scope of who’s accessing data and what those users expect.In this session, Pablo Alvarez, Global Director of Product Management, takes you for a deep dive into the exciting uses of semantics in data management. He will discuss why semantics is important for your data strategy, and how it can radically change your approach to managing things like self service, security, and...

Presented at Chief Data Officer September 2021 (A/NZ)Watch on-demand this session to understand how data virtualization can be used to:Seamlessly implement the concept of 'Data Marketplace'Enable all business users to derive value from self-service analytics toolsApply consistent security and governance policies across the enterprise data architecture

The case study is about a global investments bank dedicated to helping clients manage and service their financial assets throughout the investment lifecycle. The bank itself is composed of several lines of business such as capital markets, financing and liquidity, securities services, treasury services, investment management, wealth management, and data and analytics. As of March 31, 2021, the bank had more than $40 trillion in assets under administration, and more than $2 trillion in assets under management.To promote a data-driven culture and make it effortless for business users to...

Presented at Chief Data Officer July 2021 (A/NZ)The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. Data Virtualization is a modern data integration technique in which a single semantic layer can be built containing semantic definitions of all of the underlying sources.Watch on-demand this session to understand how data virtualization:Helps organisations...