Carguero: Azure to AWS Cloud Migration increased transport efficiency Brazil’s Agro-tech industry
About Carguero Carguero is a joint venture transportation company developed by four leading agricultural companies operating in Brazil: LDC, Maggi, Cargill and DM Brasil. With the downloadable Carguero application at the forefront, the company was designed to transform the Brazilian freight transportation industry by making it more intelligent, transparent and accessible to all. Carguero’s app […]
Galax Pay: Major investment secured as a result of on-prem to AWS cloud migration
About Galax Pay Galax Pay is a management platform for collections, including credit card, payment slip and Pix, with a focus on automated payment management. As a Brazilian Fintech business, Galax Pay is integrated with credit card operators to facilitate the recurring billing process. It also offers access to complete sales data reports, single billing […]
Cromai: 15x Faster Deep Learning Training in the Cloud
About Cromai Cromai is a Brazilian AgTech founded in 2017 with a mission to lead the next digital revolution in agriculture, taking Brazilian producers to a new level of efficiency, production and sustainability. In order to assist workers in the agriculture industry, Cromai utilises Machine Learning and computer vision to automatically identify patterns in images […]
KOBA Insurance, Moving Towards a Data-driven Company
KOBA Insurance The Aussie start-up KOBA Insurance provides a comprehensive car insurance policy that focuses on servicing connected vehicles: cars that are pre-connected to the Internet. What makes it different from other insurance companies? The fees are based on how much customers actually drive their cars. It works by fitting the KOBA Rider – a […]
Quicksight vs Tableau for Data Analytics. A Comprehensive Comparison
With so many tools available to improve business experiences, it can be difficult to know which will work best for your specific needs. Comparisons between the top competitors can save you significant resources before investing in tool purchases and training your team. Two well-known data analytics tools are Tableau and QuickSight, both of which offer […]
Harnessing the Power of Data in the Financial Sector
Digitisation has enabled technology to transform the financial industry. Advanced analytics, machine learning (ML), artificial intelligence (AI), big data, and the cloud have been embraced by financial companies globally, and the use of this technology brings an abundance of data. When it comes to FinTech, pace is paramount. The more accurate trends and predictions are, […]
canibuild Data Modernisation Journey
canibuild canibuild is a game-changer for the construction industry. After 20 years of facing the same problems over and over again, Timothy Cocaro founded canibuild to take the hassle out of building. With canibuild, builders and their clients can see what can be constructed on their parcel of land in just minutes, in a virtual, […]
Plutora’s Data and Digital Modernisation Journey
About Plutora Plutora offers value stream management solutions that help companies with release, test environment and analytics solutions for enterprise IT. Among Plutora’s clients are global organisations typically in healthcare, Fintech and telecommunications, all of which are highly regulated and require tools to maintain compliance. In addition, clients in these industries require predictable software delivery due […]
Reinventing myDNA Business with Data Analytics
About myDNA myDNA is a health tech company bringing technology to healthcare with a mission to improve health worldwide. They developed a personalised wellness myDNA test that lets you discover how your body is likely to respond to food, exercise, sleep, vitamins, medications, and more, according to your genome. It is a life changer for […]
Data Archiving utilising Managed Workflows for Apache Airflow
We assisted a Fintech client to minimize its storage cost by archiving its data from RDS (MySQL) to S3 using an automated batch process, where all data from a specific time range should be exported to S3. Once the data is stored on S3 the historical data can be analyzed using AWS Athena and Databricks. […]