BI
Data Science
Operational Analytics
Demand for data cross the business is skyrocketing but overseeing the mismash of different tools means there's no time to evaluate new solutions and innovations.
77% of data leaders believe data preparation and migration takes longer than it should.
Data architecture is streamlined-at scale-with tools and pipelines managed and governed through a central platform, into which new sources can be integrated easily.
With Matillion, Slack reduced workflows for extracting data from up to 10 per source to just 1 →Loading and transforming large volumes of data for the business takes ages. A lot of time is spent fixing problems and fighting fires. And demand just keeps growing.
57% of teams' time is spent on data migration and maintenance.
With all the tools to load, transform, reverse ETL and orchestrate in one place and universal connectivity to make integration faster, it's easier to meet the demands of the business—even at scale.
With Matillion, DocuSign reduced runtime of ETL workloads by 75% →The business needs its insights yesterday-but the data backlog means a long wait to get what you need. Sometimes the only solution is to DIY, but this takes up valuable time.
66% of data leaders believe their organization wastes valuable time on data preparation.
Use low-code tools to load and transform multiple datasets quickly, so you can focus on uncovering new insights and supporting data-driven decision making across the business.
With Matillion, FLG cut load time from 1 hour to 5 minutes →
