CUF
Cloud-only environment for data analysis, integrated with AI and Machine Learning tools on Azure.
Challenge
- Help choosing a cloud platform for a new Data Warehouse.
- Creation of the first cloud-only Data Warehouse in Portugal.
Solution
Modern Data Architecture solution
Result
- Cloud-only environment for data analysis.
- Integration with Azure cloud AI and Machine Learning tools.
More cases
See all cases-
ChallengeWith decades of experience managing health services, AdvanceCare had extensive knowledge of Fraud and Abuse, but needed to move forward in automating and systematizing how it was monitored. The company wanted to analyze a larger number of fraud scenarios through automated processes able to detect more suspicious cases and make them available faster, both to internal teams for analysis and to institutional clients, through a simple, fast Business Intelligence (BI) interface. ResultInsertion and update of around 300,000 records/day. View case -
ChallengeThe miMed application portfolio consists of a set of separate applications that are essential to the business's daily operation. Each of these applications has its own isolated database (DB), which stores all the data generated and recorded in that application. Analysis and reporting relied on report extracts from the production databases, which were then worked on in Microsoft Excel and shared with the teams. As the volume of data generated and the analysis needs grew, the traditional, semi-automated data extraction and transformation processes gradually stopped keeping up with the daily pace of operations. ResultThe solution focused on monitoring core metrics of miMed's daily activity, namely Appointments, Billing, Clients, Specialty Mix and Occupancy Rates. View case -
ChallengeThere was a need to report on business indicators and obtain a global view of the Luz Saúde group, namely by collecting, analyzing, transforming, monitoring and sharing data from each hospital unit, both to support decision-making and improve the service provided to patients and to meet contractual requirements. In addition, the group faced continuous growth in the volume of information to analyze. It became essential to work with data from different sources in an integrated, unified way, adding value and fostering continuous improvement, as well as to meet business requirements in near real-time. ResultGreater capacity and speed for constructive analysis of information. View case
Have a challenge on your hands?
Tell us what you want to achieve and we'll bring together the right team to make it happen.
Book a meetingWant to join the team?
8 open roles, from internships to consulting. Apply on the site with your CV.
See open roles