Focused on Full Stack Data Science to help organizations build a sustainable capability to improve performance, optimize investments, manage risk and gain competitive advantage, ATA's team of data scientists and business analysts work collaboratively to address some tough (and surprisingly common) challenges around data management; collection and ingestion; data architecture; exploratory, advanced, and secondary analytics; knowledge presentation and visualization; and access and security. This team also engages to help shape an organization's data science strategy, understand capability gaps, design and build a "right fit"â data science capability, leverage DevOps to accomplish continuous delivery, and determine the appropriate measurement and validation techniques to ensure outcome meets intent (otherwise, what's the point)
