Analytics

As many companies use more data for analytics and insights, they want to enrich their data sets for analysis and make data more easily accessible and understandable. One solution to these needs is an internal data marketplace.An internal data marketplace is a platform where data and analytics within an organization are organized, managed, and made accessible to various business units and teams. It collects metadata and provides a centralized location where users can come and find data, promoting collaboration and knowledge sharing among teams.There are several benefits to using internal data...

As many companies use more data for analytics and insights, they want to enrich their data sets for analysis and make data more easily accessible and understandable. One solution to these needs is an internal data marketplace.An internal data marketplace is a platform where data and analytics within an organization are organized, managed, and made accessible to various business units and teams. It collects metadata and provides a centralized location where users can come and find data, promoting collaboration and knowledge sharing among teams.There are several benefits to using internal data...

Data demands are exploding as organizations democratize access and expand into advanced analytics, artificial intelligence (AI), and machine learning (ML). Distributed data environments are putting stress on data integration, turning today’s labyrinth of pipelines and transformation processes into bottlenecks that affect downstream applications. Pressure is growing on legacy systems and practices, driving higher costs and reducing business value.Data-driven business initiatives depend on scalable, agile, and comprehensive data management and data governance. Fortunately, AI/ML-infused...

The data explosion continues to accelerate across distributed landscapes with data on premises and on multiple cloud data platforms. Organizations face challenges as well as tremendous potential for increasing the value of data assets, including through data monetization—potential that can go untapped without good data management and governance.Data-driven business initiatives depend on scalable, agile, and comprehensive data management and governance. The latest applications embed sophisticated analytics using AI/ML capabilities that must be provisioned with continuous, integrated, curated...

Watch this webinar for a recap of the highlights from DataFest 2023 North America, including an exploration of the latest innovations in logical data management with Denodo.During this one-hour session, Mark Miller, Vice President of Global SI, Partners, and Channel Sales North of America, and Inessa Gerber, Director of Product Marketing, will guide us through a discussion of the most recent product information and critical updates you can’t afford to miss.Maximize your knowledge of the Denodo Platform, increase ROI on Denodo data and analytics tools, and elevate your success in the Denodo...

Baillie Gifford delivers better information to their investors and clients using the Denodo Platform

Enterprises are under increasing pressure to address social, environmental, and other responsible outcomes in their digital operations. To stay ahead of the curve, data management and analytics professionals have begun to address such topics as ethics, equity, fairness, safety, and sustainability in their strategic planning and operational practices.This TDWI Best Practices Report examines where organizations are today in terms of responsible data and analytics and what work they still need to do. It also addresses organizational imperatives and technologies to help organizations become more...

It’s almost impossible to find any organization that does not have data and analytics as one of their top priorities to further their business objectives. At the same time the data and analytics landscape is evolving faster than ever, making the data management ecosystem more complex than ever before. As data gets increasingly distributed across systems and locations, every forward looking organization should adopt a logical architecture to be future ready.Attend this webinar and learn:Key priorities of data and analytics leaders for business transformation.Why a monolithic and physical data...

Presented at TDWI VIRTUAL SUMMIT - Modernizing Data ManagementWhile the technological advances of the past decade have addressed the scale of data processing and data storage, they have failed to address scale in other dimensions: proliferation of sources of data, diversity of data types and user persona, and speed of response to change. The essence of the data mesh and data fabric approaches is that it puts the customer first and focuses on outcomes instead of outputs.In this session, Saptarshi Sengupta, Senior Director of Product Marketing at Denodo, will address key considerations and...

Data architecture is more relevant than ever today, because so many user organizations are migrating data to the cloud, modernizing analytics and data warehouses, deploying data lakes and lakehouses, and adopting new practices for data virtualization, sharing, monetization, and marketplaces.These and other data-driven use cases demand massive volumes of data in every structure imaginable, together with a wide range of processing capabilities. A well-designed, cloud-based data architecture provides a home for such highly diverse data and the numerous use cases it enables.This Tactical...