Analytics

Showing 1 - 9 of 9 pages tagged with: Analytics

A Successful Data Strategy for Insurers in Volatile Times (EMEA)

To capitalize on all their data, insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures.Join this webinar to:Find out why data virtualization should be a part of your enterprise data strategySee how this technology can help you capitalize...

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Enabling Self-Service Analytics with Logical Data Warehouse (Middle East)

What makes data scientists happy? Of course data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources.Attend this webinar to learn:How easily new data sources can be made available for analytics and data scienceHow your organization can successfully migrate to a flexible LDW...

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Enabling a Bimodal IT Framework for Advanced Analytics with Data Virtualization

Being able to maintain a well managed and curated Data Warehouse, along with keeping up with all of the demands of a very sophisticated consumer group can be a challenge. The new user wants access to data, they want to experiment, fail fast and if they do find usable insights/algorithms they want them productionized. This puts pressure on an IT organization and pushes them closer to a Bimodal operation where the regular IT processes that are highly curated, well defined and managed contrast sharply with the demands of the more sophisticated user.In the recently published TDWI Best Practices...

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Advanced Analytics and Machine Learning with Data Virtualization

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.Attend this webinar and learn:

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Managing the Impact of COVID-19 Using Data Virtualization

To help alleviate the ramifications of COVID-19, Denodo launched the Coronavirus Data Portal (CDP), a collaborative initiative that leverages data virtualization to unify critical datasets originally exposed in different formats from multiple sources and countries, and make the unified data open to everyone.Using the CDP and the data virtualization capabilities of the Denodo Platform, pmOne created detailed reports and AI analysis, seamlessly orchestrating all of the information streams in the pmOne Share Cockpit.Working together, Denodo and pmOne provides the global community with...

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Data Virtualization: Fulfilling the Digital Transformation Requirement in Banking

Data is at the center of this digital transformation, but caution needs to be taken to ensure customers’ data rights, privacy and security are top priorities, especially with initiatives like Open Banking and shifts to Cloud environments. So how do banks move forward, living up to market expectations and staying competitive while protecting their customers and complying with regulations?Banking institutions need to update their legacy systems and implement strategies and services that will transform them into digital financial organizations. They need agile access to information that can be...

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Myth Busters II: BI Tools and Data Virtualization are Interchangeable

Reporting tools, while important and necessary, focus on the visualization of data and it’s presentation to the business user. Data virtualization is a governed data access layer designed to connect to and provide transparency of all enterprise data. Yet the myth suggests that these technologies are interchangeable. So we’re going to take it on!Watch this webinar as we compare and contrast BI tools and data virtualization to draw a final conclusion.

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Data Strategies for Managing the Cycles in Oil and Gas

Join us for a quick 30 minute webinar, Data Strategies for Managing the Cycles in Oil and Gas, featuring Quinn Lewis, Consulting Director at Denodo and former Technology Manager at Anadarko.Recent challenges for oil and gas companies have affected the operational strategies around the globe. One attractive option is to actively seek areas of inefficiency that they can invigorate, but often, data cannot be leveraged because it is poorly integrated. This session will address how data virtualization can be brought to bear to aid the industry, and will help attendees:Understand the impacts of...

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Consumption based analytics enabled by Data Virtualization

An eclectic mix of old and new data drives every decision and every interaction, but too many organisations are attempting unsuccessfully to consolidate this data into a single repository which is time-consuming, resource-intensive, expensive, and risky.Join this Denodo and HCL Webinar to discover how data virtualization provides an effective modern day architecture and an alternative to data consolidation and the challenges of fragmented data ecosystems and traditional integration approaches. We will share stories and provide multiple perspectives on best practices and solutions.Content will...

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