Understanding Data Exploration and Best Practices

Before diving into your data, familiarize yourself with useful tips, learn about different kinds of data collections, and review important data exploration concepts.

• Explore and Visualize Your Data Interactively
  Data exploration is an iterative process. It typically involves these steps: view, explore, refine, save, and share.
• Collections of Data in CRM Analytics
  CRM Analytics collects and organizes your data in datasets, lenses, dashboard, and apps. These collections, also known as “CRM Analytics assets,” represent levels of data refinement—from raw data that’s uploaded from your source systems to highly curated, packaged views of your data.
• Data Exploration Concepts
  As you learn how to explore and visualize your data, it’s helpful to review key concepts such as visualization, measure, and dimension.
• Analytics Glossary
  Familiarize yourself with common Analytics terminology.