Talend Data Masters
Award Winners 2018
Grand Prize Winners
A global energy enterprise with around 12,000 employees, the company created an Azure cloud-based data analytics platform to integrate over 100 data sources including temperature and IoT sensors, from various external and internal sources. They constructed the full flow of business transactions––spanning market analytics, trading, asset management—while enabling data governance and self-service, resulting in reduced integration costs by 80% and achieving ROI in 6 months.
Moving to the Cloud
Formed from five different European exchanges, the company migrated one of the largest Big Data storage projects in Europe, its 100TB base with 1.5 billion messages per day, to a hybrid AWS cloud, with the goals of achieving compliance with GDPR, enabling self-service for traders and generating new services and revenue.
Kent State University
With a strategic priority on an exceptional user experience for existing and prospective students, the university is transforming its IT systems to become more agile and responsive, while reducing overall IT costs. Its first major cloud applications are its CRM for an integrated student-to-alumni relationship, and a student information portal for admissions applications.
The world’s largest brewer extracts data from a vast range of sources that are of varying types, systems and locations, including IoT devices for data discovery to better understand customer tastes, improve store and bar experiences, supply chain optimization, product development and more. Their enterprise data hub resides on Azure cloud.
One of Indonesia’s largest banks is focused on delivering an unparalleled customer experience with its big data analytics platform serving as the foundation of their digital and business transformation. The platform is reducing development and operational costs, managing compliance and enhancing data protection to minimize fraud.
Best Systems Integrator
Capgemini with Royal Caribbean Cruise Lines
With the goal to deliver a personalized experience across the entire customer journey, this partnership delivered an Azure cloud-based Customer Data Platform, ingesting more than 20 data sources from different systems, formats, suppliers and timelines for consumption through analytics, reports and ad hoc data exploration. The vision is to provide a comprehensive view of the customer to be leveraged by corporate and on-board staff to enhance guest interactions and experience.
Best Value-Added Reseller
Datalytyx for their work with Affinity Water and JD Sports - Affinity Water built an AWS-based cloud data lake leveraging smart meter data and other sources to improve data management, reporting and analytics to better serve their 3.6 million customers and meet regulatory requirements. JD Sports, a retailer of sports fashion, streamlined operations into an integrated warehouse management system, which significantly improved store delivery accuracy and efficiency.
Airlines use the company’s applications for planning and strategic operations, including crew schedules, flight paths and aircraft. Customers needed to upgrade badly outdated versions quickly and efficiently. Sabre developed a new direct data transfer to migrate to its latest suite, reducing migration costs by 80 percent, and shortening the time from weeks to hours.
Otto (GmbH & Co KG)
One of the world’s biggest e-commerce companies wanted to improve its customer experience. The company and its integration partner cimt deployed a microservices-based architecture leveraging real-time big data in the largest cluster in Germany, using continuous integration and delivery methodology on a container platform.
To make it faster and easier for researchers to analyze drug development data, the company deployed a microservices-based architecture for its data platform. Having clean, verified traceable clinical data saves development time, accelerates the process of determining proper dosage and drug interactions, and leaves a clear audit trail as per FDA GxP guidelines.
To become a data-driven organization and place data in the center of every process and decision, the company implemented a 50TB modern cloud data platform. Offering real-time, self-service access, and powering AI/Data Science models, this consolidated view greatly improved the customer experience while complying with new GDPR standards. This enabled Tipico to fully leverage its data and automate every routine action with intelligent processing.
The leading online business network in German-speaking countries, the company rolled out a new integrated architecture, vastly accelerating file processing while simplifying data integration. Near real-time marketing data analytics now offer rapid insight into campaign effectiveness and support more agile decision-making.