Video: Can machine learning bail enterprises out of their data management woes?
Salesforce is launching natural language queries for its Einstein Analytics that will enable visualization and data discovery breadcrumbs for business users.
And given how Salesforce's analytics team is pulling data from its own platform as well as other sources, these ready-made visualizations could become competition for Tableau. Now, Amruta Moktali, vice president of product at Einstein Analytics, said the goal of Einstein's conversational queries is to democratize visualizations on the Salesforce platform, the user experience rhymes with Tableau. The approach from Salesforce also is similar to Microsoft BI.
"We are providing the tools to explore and ask questions with no chart building or figuring out chart type. You ask a question and get an answer," said Moktali. "We are looking at it from empowering users. Most of our users are business users."
With Einstein Analytics with Conversational Queries, a business user can type phrases related to data such as show top accounts by revenue and drill down. Dynamic charts are rendered automatically as a query is entered.
The effort is a spin on combining visualizations with conversational user interfaces.
Read also: Salesforce posts solid Q4, surpasses $10B in annual sales | A day in the data science life: Salesforce's Dr. Shrestha Basu Mallick | Salesforce Sales Cloud data can now import to Google Analytics 360 | Dreamforce 2017: 4 next steps for Salesforce Einstein
Einstein Analytics is aimed at answering questions and then creating charts to visualize them. The Salesforce features suggests the best way to visualize the answer and offers a suggested charts panel. A visual history of questions then provides a bread crumb to show your work.
Here are some screenshots of how Salesforce envisions a user having a conversation with their data:
- IT jobs in 2020: Preparing for the next industrial revolution
- AI and jobs: Where humans are better than algorithms, and vice versa
- Five tech jobs that AI and automation will make radically more efficient