Data Analytics

Showing 1 - 10 of 29 pages tagged with: Data Analytics

Introduzione alla Virtualizzazione dei Dati (Italian)

In un’era sempre più dominata dal cloud computing, dall’AI e dall’analisi avanzata, può sembrare per lo meno anacronistico che molte organizzazioni facciano ancora affidamento ad architetture di dati costruite prima della fine del secolo.Fortunatamente questo scenario sta subendo un cambiamento repentino con l’adozione di nuove tecnologie di integrazione dati, come la virtualizzazione dei dati, che forniscono un livello logico, in tempo reale e sicuro di accesso ai dati aziendali. Le diverse sorgenti dati non devono più essere trasferite fisicamente in un nuovo repositorio e trasformate, ...

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Trustworthy Analytics and Machine Learning with Data Virtualization (EMEA)

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. For these projects to be successful, data scientists, business analysts, and other personnel need access to data from across the enterprise. However, gaining access to all of the data in an integrated central repository has been a challenge, resulting in up to 80% of the project time being spent on data acquisition and preparation tasks.Data virtualization enables many organizations today to gain data insights from multiple, distributed data sources...

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Denodo’s Data Catalog: Bridging the Gap between Data and Business

Self service is a major goal of modern data strategists. Denodo’s data catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It’s the perfect companion for a virtual layer to fully empower those self service initiatives with minimal IT intervention. It provides business users with the tool to generate their own insights with proper security, governance and guardrails.In this session we will see:The role of a virtual...

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How Data Virtualization Puts Machine Learning into Production (APAC)

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 spend 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 session to learn how companies can use data virtualization to:Create a logical...

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

Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.This is why insurers need a flexible and...

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Data Virtualization for Business Consumption (Australia)

A successful data virtualization initiative bridges the gap between two very different perspectives of data management: IT and business. However, most of the emphasis in these initiatives is put on the IT side, modeling, performance, security, etc. Business users are often left with a large library of data sets, hard to use and navigate.Denodo’s data catalog has been designed to cover the needs of those users and simplify the use and understanding of the virtual layer from the business perspective. It provides the extra capabilities required for self-service initiatives to succeed, while...

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Data Virtualization for Business Consumption (New Zealand)

A successful data virtualization initiative bridges the gap between two very different perspectives of data management: IT and business. However, most of the emphasis in these initiatives is put on the IT side, modeling, performance, security, etc. Business users are often left with a large library of data sets, hard to use and navigate.Denodo’s data catalog has been designed to cover the needs of those users and simplify the use and understanding of the virtual layer from the business perspective. It provides the extra capabilities required for self-service initiatives to succeed, while...

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Data Virtualization for Data Architects (New Zealand)

Success or failure in the digital age will be determined by how effectively organisations manage their data. The speed, diversity and volume of data present today can overwhelm older data architectures, leaving business leaders lacking the insight and operational agility needed to respond to market opportunity or competitive challenges.With the pace of today’s business, modernisation of a data architecture must be seamless, and ideally, built on existing capabilities. This webinar explores how data virtualization can help provide a seamless evolution to the capabilities of an existing data...

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ROI and Economic Value of Data Virtualization

Gartner has predicted that organizations using Data Virtualization will spend 40% less on data integration than those using traditional technologies. Denodo customers have experienced time-to-deliver improvements of up to 90% within their data provisioning processes and cost savings of 50% or more. Join us for this webinar to discover how Data Virtualization can help accelerate your time-to-value from data while reducing the costs at the same time. As Rod Tidwell (Cuba Gooding Jr.) said in the movie 'Jerry Maguire', "Show me the money!"Register to attend and learn how Data Virtualization can:...

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Analyst Webinar: Best Practices In Enabling Data-Driven Decision Making

This presentation looks at the trends that are emerging from companies on their journeys to becoming data-driven enterprises.These trends are taken from a survey of 500 companies and highlight critical success factors, what companies are doing, their progress so far and their plans going forward. It also looks at the role that data virtualization has within the data driven enterprise.During the session we'll address:What is a data-driven enterprise?What are the critical success factors?What are companies doing to create a data-driven enterprise and why?What progress are they making?What are...

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