Analytics

Showing 1 - 10 of 31 pages tagged with: Analytics

DBTA Best Practices: Riding the Real-Time Wave - Data Strategies and Enabling Technologies

Are organizations ready for the real-time revolution? Somewhat - but they are only just beginning to embrace it. Typically, business decision makers have had to analyze historical data to assemble patterns that might predict upcoming events. However, with the advent of real-time data and analytics, insights on present events, and the use of leading-edge AI technologies, inferences may be drawn about future events.

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Accelerate Migration to the Cloud using Data Virtualization

Organizations are adopting cloud at a fast pace and migration of critical enterprise information resources can be a challenge when dealing with a complex and big data landscape. Building the right data services architecture can help alleviate the pain points.Data virtualization enables companies to gain maximum benefits from cloud initiatives in form of agility, cost savings, and more.Tune in to this session to discover:How Denodo Platform's multi-location architecture can simplify and accelerate cloud migrationBest practices for deploying the Denodo Platform in the cloudHow you can leverage...

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How does a Modern Data Ecosystem Drive Business Value?

Podcast Guest: Suresh Chandrasekaran, Executive Vice President at Denodo

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Enabling Unified Data Access and Analytics Using a Logical Data Architecture (ASEAN)

Presented at Continuous Intelligence Day, powered by Big Data & AI World, SingaporeCredit Agricole is one of the world's largest cooperative financial institutions with a revenue of 26.6B Euros and 142,000 employees. It has operations in more than 30 countries and provides a diverse set of financial services including retail banking, cooperative banking, investment banking, private banking, wealth management, and asset management. The Credit Agricole Corporate and Investment Banking division (CACIB) leveraged data virtualization to build a logical data fabric that provides an efficient...

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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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TDWI Best Practices Report: Unified Platforms for Modern Analytics

The demand for analytics continues to grow. More organizations want to advance beyond dashboards to self-service analytics and more sophisticated algorithms such as machine learning.To support this trend, enterprises are moving towards a unified environment for data and analytics. This platform is often cloud-based to take advantage of scale and flexibility and support massive amounts of data and compute-intensive workloads. It is automated and augmented to help address data and analytics complexity.This TDWI Best Practices Report examines the adoption, use, challenges, architectures, and...

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Logical Architecture Is Always A Flexible Architecture (Australia)

Presented at Enterprise Architecture Virtual Summit (Australia)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. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time consuming.A logical data warehouse is a modern data architecture that allows organisations to leverage all of their data...

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Self Service Analytics enabled by Data Virtualization from Denodo

Self-service Analytics BI is often quoted by many - ie, allow users to discover and access data without having to ask IT to create a data mart, or by allowing users to directly export/copy the data from the data sources themselves into their analytics tools and systems. The challenge is not just to provide access to the data – even from Excel this can be done - but to do this in real time without creating processing overhead, while getting trusted data, with the best response time possible, in a managed, governed and secure way in order for these users to trust the output of the analysis.

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Augmentation, Collaboration, Governance: Defining the Future of Self-Service BI

According to Dresner Advisory’s 2020 Self-Service Business Intelligence Market Study, 62% of the responding organizations say self-service BI is critical for their business. If we look deeper into the need for today’s self-service BI, it’s beyond some Executives and Business Users being enabled by IT for self-service dashboarding or report generation. Predictive analytics, self-service data preparation, collaborative data exploration are all different facets of new generation self-service BI. While democratization of data for self-service BI holds many benefits, strict data governance becomes...

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Delivering Faster Insights: The Hybrid Cloud Data Warehouse (APAC)

The adoption of cloud data warehousing is no longer seen as teetering on the bleeding edge of technology; a growing number of organizations are already using a cloud data warehouse or cloud data lake to support enterprise business intelligence, reporting, and dashboards. Businesses that migrate to the cloud still face challenges that complicate their ability to leverage cloud-based resources. Although conventional wisdom promotes the cost-effectiveness of the cloud, ungoverned operations allow data storage, egress, and computing resource costs to spiral out of control. Cost management is a...

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