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We’re convinced Hortonworks is a great option, especially in providing a proven infrastructure for both data at rest and data in motion.

Fernando Lopez, Business Analytics - Big Data

Download Quanam Case Study

Download Case Study

Founded in Uruguay in 1978, Quanam is a multi-Latin federation of firms specializing in consulting and management, professional services, communication and change management. Priding itself on innovation and knowledge, Quanam’s broad range of clients vary from banking and government agencies to financial institutions and even genetic laboratories. Comprising a 400-strong team of engineers, analysts, economists, managers, accountants and statisticians, Quanam uses state-of-the-art solutions and tools to solve modern day global problems.

Business Challenge

Quanam, partnering with GenLives, had the goal of allowing clinicians to make more accurate diagnoses in shorter timeframes. The genome of a single person can deliver up to four million mutations, and Quanam needed a way to isolate the information responsible for causing pathogenic conditions. Geneticists also had to sift through millions of existing academic papers manually, trying to identify these conditions.


For this goal to become a reality, Quanam needed a big data platform that could withstand demanding storage and computing requirements to process multiple complex algorithms. With HDP, the company could analyze and store large volumes of data, and offered a foundation on which machine learning algorithms could be run.


Clinical geneticists can now make more informed decisions on the dangers of genome variants. DNA sequencing now takes a matter of hours, rather than an entire day. Additionally, the now pre-enriched literature database uses algorithms to establish connections across millions of resources, helping to build a clearer picture of which genomic variant is dangerous. This results in a faster diagnosis, from an average of 5 years, down to 8-10 weeks.