SUCCESS STORIES
A look at how we've helped organizations with high data complexity turn investments in data and AI into production systems that deliver.
OneSix worked with a global art gallery to develop a tailored AI strategy, facilitating a collaborative workshop to identify and prioritize AI use cases aligned with their business goals. The workshop provided a clear, actionable roadmap, helping the gallery confidently move forward with high-priority AI initiatives.
OneSix helped a pricing consultancy reduce data processing time from over 10 hours to minutes by implementing a modern ELT pipeline using Azure Data Factory and Snowflake. The solution enhanced agility, scalability, and confidence in pricing insights.
OneSix partnered with a financial services firm to modernize its data architecture, implementing a scalable platform using Snowflake, dbt, Matillion, and Sigma to unify over 50 data sources, automate reporting, and deliver real-time insights.
OneSix developed a scalable, adaptive machine learning platform to detect abusive content in real time, enabling a tech company to enhance online safety for children while continuously adapting to their evolving communication styles.
By analyzing and adjusting data processing schedules, OneSix enabled a seaside amusement park to significantly reduce unnecessary cloud expenses while maintaining scalability during peak demand. This optimization improved cost efficiency and ensured the pipeline aligned with real-time business needs.
Through a three-phase approach, including a comprehensive assessment, tailored recommendations, and a clear roadmap, OneSix helped the bank set the foundation for improved operational efficiency, enhanced customer experiences, and future-ready data strategies.
