CHALLENGE

• Leverage unique approaches to data and analytics to meet customer demand for healthcare technology services

• Enable a move from relying on Excel to cloud-based analytics and real time measurement while driving towards actionable data products to support immediate treatments, predictive analytics, and machine learning

• Eliminate manual processes required for provisioning new clients

OUTCOME

• Designed, architected, and deployed a solution that enables key business measurements, knowledge fields, snapshots, and trend analysis

• Provided an elastic, scalable solution for on boarding new healthcare clients with a sustainable architecture and automated (and documented) processes

• Helped transform the internal development culture mindset with the unique scalability and elasticity of Snowflake, transformations in Snowflake with dbt, cloud automation (DevOps and CI/CD processes), as well as overall speed of data product delivery

APPROACH

• Create a mature, modern data warehouse solution supporting current and future advanced analytics workloads

• Collaboration, mentoring, and coaching across a number of dimensions including data acquisition from on premise SQL sources, data pipelining and persistence to the cloud, data transformation, and cloud automation to provide sustainability

• Accelerate solution development through the use of Hashmap’s extensive domain experience in cloud data warehousing combined with existing “blueprints” that emphasize practical, simple approaches that save time and money

SOLUTION