How to Get From Data to Analysis Faster

Presented by

Geoffrey Hunter, Director of Data Science, Uberflip & Paul Lacey, Senior Director of Product Marketing, Matillion

About this talk

According to IDG research, the #1 reason enterprises migrate their data to cloud platforms is faster time-to-value for implementing analytics projects. In today’s rapidly evolving business climate, you need “analytics-ready” data. This means that data transformation is critical to revealing the insights that your organization needs in order to pull ahead. Join Uberflip’s Director of Data Science, Geoffrey Hunter and Matillion for How to Get From Data to Analysis Faster with Matillion and Snowflake. He’ll break down Uberflip’s multi-departmental use case, implementation lessons learned from start to finish, and share no-fluff, practical advice for enterprises like your company. You’ll hear first-hand how Uberflip: -Reduced the time it takes to build reports from 5 weeks to under a day -Chose Matillion, Snowflake and Looker to complete their data tech stack -Overcame internal and external challenges and how to address them quickly Speakers: Geoffrey Hunter, Director of Data Science at Uberflip and Paul Lacey, Senior Director of Product Marketing at Matillion

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Matillion is data transformation for cloud data warehouses. Only Matillion is purpose-built for Amazon Redshift, Snowflake, and Google BigQuery enabling businesses to achieve new levels of simplicity, speed, scale, and savings. Trusted by more than 800 companies to meet their data integration and transformation needs, Matillion products are highly rated across the AWS, GCP and Azure Marketplaces. Matillion is dual-headquartered in Manchester, UK and Denver, Colorado. Learn more about how you can unlock the potential of your data with Matillion’s cloud-based approach to data transformation.