Data Infrastructure

According to PWC’s What’s important to CIOs in 2024, a vital goal for CIOs is achieving return on investment (ROI) by making the right moves when it comes to foundational cloud systems, data and IT operations, as well as how the organization uses new technology to work efficiently and serve customers.Tech transformation requires a strong data foundation. You also acknowledge that data efforts, including cloud migration and the adoption of analytic and AI capabilities, can be difficult and time-consuming. In PWC’s August 2023 Pulse Survey, CIOs ranked data challenges as one of the top...

Statistics Estonia Uses Denodo to Provide Better Official Statistics

Throughout the UK and Northern Europe, data leaders are watching their digital transformation strategies mature, and managing an ever-increasing amount of data as a result. For financial institutions dealing with data silos and legacy systems, this has created many challenges.Read this new research report, produced in conjunction with Corinium Global Intelligence, surveying 100 data leaders in financial services to find out why the industry is among those shifting away from using data lakes and enterprise-wide data warehouses to support their initiatives, and towards federated, domain-...

Every day, this bank serves customers across 12 U.S. states with reliable, state-of-the art banking services. Increasingly, this has required the bank to seamlessly reach customers and potential customers across multiple channels including in-person, ATM, mobile, and online channels, with digital services running 24/7 under strict levels of speed, availability, and accuracy. To address these needs, the bank planned a digital transformation that included a re-design of the entire data infrastructure.

Many companies continue to use and maintain legacy systems, hoping to someday modernize their data infrastructure. It is not only the prediction of downtime and the obvious consequences in daily operations that slow down this change: many organizations are reluctant to replace their systems also due to the expensive investment they had to make to implement it.Due to these issues, many organizations lack the agility to respond to the demands of a rapidly changing market.Together, Denodo and Value allow companies to modernize their data infrastructures by drastically reducing downtime, in order...

Panel by Patrick Meneses, Chief Data & Analytics Officer at MDI Novare; Cameron Tuesley, CEO at Integral; Syed Rasheed, Principal Product Marketing at Denodo; and moderated by Alex Hoehl, Senior Director Business Development APAC at Denodo.

Presented at Aus Government Data Summit 2022In the public sector, wider sets of disparate data holds the key to improving public digital services. Trusting dispersed data and how it is used is high on the list of public requirements, alongside transparency and protection of personal data.For better access, trust and control, an innovative data management framework is required. Single data warehousing or data lakes are not practical. An architecture that integrates seamlessly both traditional and modern data systems, simplifies data complexity, provides unified data governance and enforces...

Presented at Digital Gov and Cloud Summit 2021Data Virtualisation is a logical data layer that virtually integrates all the data siloed across the disparate systems in an organisation, what-ever its format or structure. This presentation outlines how public sector organisations can leverage data virtualisation to:Create a sophisticated data service to easily share data within and across facilities in real-timeImplement a centralised governance framework and roll out security and access control measuresIntegrate data spread across on-prem legacy systems and cloud systems to find the single “...

Denodo presentation by Paul Moxon, SVP Data Architectures & Chief Evangelist at Denodo.

In the digital transformation era, banks need a single view of all their data and a way to establish security controls across the entire infrastructure. This can be achieved with Data Virtualization.