Tick Data and TCA Transformation: Erasing the Need to Move Mountains
Performing transaction cost analysis (TCA) means moving at the speed of sound, drawing on the analysis of massive troves of tick history data.
Anand Pandya is Global Head of Financial Services at Hakkōda, a data engineering consultancy specializing in Snowflake. He works with companies in the finance sector to deliver data-driven innovation. With 20+ years of experience as a leader in data-driven solutions and business intelligence, Anand has been integral to driving innovative technology from an executive standpoint. His expertise lies in data management, focusing on organizational resource management and influencing business strategies. In his career, he’s learned that well-governed data is a blend of people, processes, technology, and data.
Performing transaction cost analysis (TCA) means moving at the speed of sound, drawing on the analysis of massive troves of tick history data.
Follow these best practices for data lake management to ensure your organization can make the most of your investment.
The need for automated data pipelines is clear. What role will data scientists play in bringing them about?
Developing an enterprise-ready application that is based on machine learning requires multiple types of developers.
Cloud optimization could offer the best method for reducing costs according to a new report.