Many organizations leverage open-source solutions along with commercial solutions to meet the requirements and demands of their own statistical and data scientists’ team. Organizations adopt open-source solutions for variety of reasons – no licensing cost, faster innovation, availability of skilled staff and so on. While open-source technologies are becoming more prevalent, Stratacent can offer the right adoption of the open-source solution along with performance, scalability, governance, and sustainability support required for production and operational analytics.
Stratacent focuses on how we can configure the open-source solutions such as R, and Python and integrate with the IT ecosystem both on cloud and on-premise data center. We also can integrate the open-source technologies with commercial solutions such as SAS, Data Domino to provide a seamless and comprehensive data and analytics environment.
Methods like machine learning and AI are increasingly used in many organizations and often the teams working on these algorithms prefer a language of their choice. At Stratacent, we believe in Bring-Your-Programming-Language. While this culture works in development environment, the organizations need discipline and proper setup to promote this to productions. Stratacent can help with just that by providing the best practices, quick start guides and proven deployment practices to provide performance, scalability, governance, and sustainability support required for production and operational analytics.