Organizations face significant challenges in preparing data for analytics. They’re overwhelmed by the increasing volume, variety, and velocity of data from disparate sources, all of which make it difficult to efficiently consolidate, explore, and prepare data. This fragmentation often leads to delays and inaccuracies in generating meaningful insights, hindering decision-making processes and overall business performance. Organizations also struggle to implement analytics outcomes in production, hindering their ability to operationalize insights.
Teradata’s ClearScape Analytics™ offers a robust solution to these challenges with a comprehensive suite of in-database functions designed to accelerate analytics at scale. By leveraging these functions across project lifecycles, organizations can perform complex data transformations, statistical analyses, and machine learning (ML) operations directly in database. This approach not only reduces data movement and latency but also ensures that analytics are performed on the most current and accurate data available.
In this demo, we’ll explore ClearScape Analytics functions and demonstrate practical applications.
Director, Solution Engineering, Teradata
Kevin Sturgeon directs a global program for the development and delivery of live demonstration assets showcasing Teradata’s unique technological and business benefits, including solutions for cloud, data and systems architecture, AI/ML, advanced analytics, and business outcomes.