Business Intelligence

Podcast Guest: Andrea Zinno, Data Evangelist at Denodo

TDWI research finds that data democratization—empowering a broader spectrum of people with self-service data access, exploration, preparation, and analytics—is a top priority. Self-service business intelligence and analytics are central to transforming daily operational decisions as well as forecasting and higher-level strategies.Today, citizen data scientists are pushing beyond data consumption to perform more advanced data discovery and predictive analytics. Developers are upgrading business applications by embedding visualization and analytics capabilities. Artificial intelligence and...

As the business grew over the years, Coca-Cola Peninsula Beverages implemented a number of systems and tools to assist in various business processes. This resulted in multiple disparate data sources in various locations (physical and virtual), which required lengthy and costly ETL solutions and extensive manual workarounds in order to extract meaningful information and reconcile this data to their ERP systems. To unlock the value from their vast data sources, the Peninsula Beverages needed fast, user-friendly access to integrate and report on data from various sources to optimally manage its...

The use of a logical data fabric

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.

What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad...

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...

What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Denodo’s vision is to provide a unified data delivery layer as a logical data fabric, to bridge the gap between the IT and the business, hiding the underlying complexity and creating a semantic layer to expose data in a business friendly manner.Attend this webinar to learn:What data virtualization really isHow it differs from other enterprise data integration technologiesWhy data...

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.

The Denodo Platform for AWS enabled Logitech's cloud journey with minimal impact on business operations. The Denodo Platform acts a big data fabric layer and sources data for all of Logitech's analytics initiatives from descriptive to prescriptive to predictive analytics including NLP processing engines.Attend this session to learn how Logitech:Reduced TCO such as infrastructure and operational expenses Empowered their business users with advanced analytics capabilitiesUses AWS and Denodo as their innovation engine