Our clients rely on us to provide analytic agility - acquiring, integrating and modeling data at speed and scale. We design and deliver robust data products using Modern Data Stack technologies. We leverage a combination of modern data ops practices along with traditional data management methodologies. We have expertise in established approaches and technologies, and we follow emerging trends.
Align analytics strategy with organizational goals, leveraging our service delivery leaders and business intelligence experts who are passionate about data.
Review of business objectives, current architecture, existing capabilities and skills. Make recommendations for strategic analytics initiatives and supporting architectures.
Define and deploy the right combination of modern data stack technologies to align with client requirements and overall data strategy.
Maximize Snowflake investment by optimizing data organization and accessibility to promote collaboration and data sharing to encourage usage across the organization and foster a data-driven culture.
Establish overall data management architectures and design models for analytics and data science.
Acquire and ingest data from sources as well as transform data into structures suitable for reporting and analytics.
Define processes and technologies to address data quality issues and drive trust and consistency in data usage and understanding.