Using Data Exploration to Accelerate Traditional and Data Science Analytics Processes
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Tuesday, November 27, 2018
Time: 10:00 a.m. GMT, 11:00 a.m. CET
Modern analytics processes are less about creating dashboards and more about asking “why” questions. Business users and analysts need the ability to dig deeper to answer these questions—to get beyond dashboards and into the wealth of data organizations hold. TDWI research finds that most organizations today put a high priority on improving technologies and practices so that analysts and users can explore data more fully, sharpen data selection for analytics, and enrich data for accuracy and completeness. The faster they can get to the best and most relevant data, the faster they can generate insights that drive business success.
Visual data exploration is useful across the entire analytics process. When applied during data preparation and validation phases, it can help shrink overall analytics cycles, often from weeks to hours. Visual data exploration can help analysts and data scientists discover the right data to solve their problem and validate results at an extremely granular level. This helps accelerate both traditional and machine learning/AI analytics cycles.
Join this TDWI Webinar to learn how data exploration can speed time to insight. In this webinar, TDWI and Datameer will discuss:
- The role of visual data exploration in analytics cycles and where it can help streamline processes
- Key attributes of visual data exploration tools and their integration into data preparation
- How business analysts and users can apply visual data exploration to find interesting new patterns and create refined data sets unique to their analytics problems
- How data scientists can use visual exploration to identify the right data, perform feature engineering, and validate models faster and easier