Exploring and Visualizing Your Data Interactively, data exploration is an iterative process, typically involves these steps:

• View
• Explore,
• Refine, save, and share

Analytics:

Analytics collects and organizes your data in data-sets, lenses, dashboards, and apps also known as “Analytics assets” represent the levels of data refinement from raw data. Analytics means a Dashboard is a curated set of charts, metrics, and tables based on the data in one or more lenses.

Data Exploration Concept:

Key concepts such as visualization, measure, and dimension

A Visualization is commonly a chart or graph, such as a bar chart, donut chart, timeline, or heat map. It can also be data in tabular form, such as a comparison table or pivot table. Every visualization has an underlying query, that how Analytics retrieves information from the source data.

What Is a Dashboard?

Dashboard is a collection of widgets that work together to tell a data story via various ways and what your requirement to show is or how it behaves. You can use key performance indicators, charts, tables, filters and images. We call it a dashboard; we are actually doing much more with this interface than we do with a traditional dashboard in a car. This dashboard doesn’t just tell us what’s changed. It’s like using the speedometer in a car to tell us not just how fast we’re going but how our speed has changed at various points, how traffic conditions ahead of us are changing, and how those changes affect.

Key Elements of an Analytics Dashboard:

• Selection-Based Filters
• Key Performance Indicator
• Charts
• Tables

We understand that implementing Salesforce Wave Analytics can be challenging process, if not planned correctly. With our proven experience in the Salesforce Wave Analytics implementation and configuration, we enable businesses to realize the true potential of Salesforce.

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