TDWI

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Reduce Supply Chain Friction through the Power of Integrated Data

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. Supply chains today are complex and global, often involving hundreds, if not thousands, of suppliers and products at different stages of the journey from raw materials to finished goods in the hands of customers. However, data is distributed everywhere across global supply chains, and it is not always accessible, usable, up-to-date, or well governed....

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Maximizing the Business Value of Data: Research Insights from the Latest TDWI Best Practices Report (APAC)

Join this webinar to hear TDWI’s latest research about data management, data integration, and comprehensive data platforms. TDWI will present findings from the newest Best Practices Report about critical trends and drivers. Best practices recommendations will focus on how you can address challenges through modernization.

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TDWI Best Practices Report: Maximizing Business Value with Data Platforms, Data Integration, and Data Management

Maximizing the value of data platforms with data integration and data management capabilities is essential for organizations that want to become data- and analytics-driven. Increasingly—but not entirely—based in the cloud, these systems and services are the engine of modern applications and smarter processes for higher business efficiency and innovation.Research indicates the need for tighter integration between two traditionally separate worlds: one devoted to analytics generation and the data integration, platforms, and management that support analytics, and the other devoted to mission-...

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TDWI Solution Spotlight: Reduce Supply Chain Friction Through the Power of Integrated Data

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. Supply chains today are complex and global, often involving hundreds, if not thousands, of suppliers and products at different stages of the journey from raw materials to finished goods in the hands of customers. However, data is distributed everywhere across global supply chains, and it is not always accessible, usable, up-to-date, or well governed....

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Maximizing the Business Value of Data: Platforms, Integration, & Management

Research Insights from the Q3 2022 TDWI Best Practices Report

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TDWI Webinar On-Demand: Modernizing the Organization to Support Data and Analytics

As organizations strive to compete in a dynamic environment, they are looking to modernize their data and analytics environment to help. This modernization includes implementing new technologies such as scalable cloud platforms and unified approaches. It includes utilizing more advanced analytics such as geospatial analytics and machine learning. It includes new paradigms such as the data fabric and the data mesh. Moreover, as part of this, modernization may include new organizational constructs such as the data office and new teams such as DataOps, MLOps, and data literacy enablement teams.

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TDWI Checklist: Six Popular Use Cases Enabled by a Logical Data Fabric

As organizations look to become more competitive, they are modernizing their data environments to support new data types and new analytics methods. The result is a complex data ecosystem that often includes both on-premises and cloud platforms. In a recent TDWI survey, while the majority of respondents agreed that the cloud was an important part of their data management strategy, the majority also acknowledged that they will utilize a multiplatform environment.

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TDWI Checklist Report: Six Popular Use Cases Enabled by a Logical Data Fabric

The logical data fabric powered by data virtualization is gaining momentum in enterprise architectures by virtue of its logical and real-time data integration and management capabilities. A well build data fabric platform supports data analytics, cataloging, self-service, governance, etc. and, at the same time offers strategies for optimizing cross-platform performance (such as dynamic query optimization, caching capabilities, summary tables, or in-memory computing), even across multiple cloud providers.This Checklist Report examines the six most popular and frequently used solution...

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Product Demonstration: Building a Logical Data Fabric using Data Virtualization

Chris Day, Director, APAC Sales Engineering for Denodo, gives a product demonstration of the Denodo Platform to show some of the capabilities that data virtualization can deliver when talking about logical data fabric.Watch full webinar here.

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The Role of Logical Data Fabric in a Unified Platform for Modern Analytics (APAC)

Join us for a webinar based on TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, where we will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report.

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