Tableau Extends Augmented Analytics, Bringing the Power of AI to Everyone

Tableau Extends Augmented Analytics, Bringing the Power of AI to Everyone

Tableau Extends Augmented Analytics, Bringing the Power of AI to Everyone

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Tableau, the world’s leading analytics platform (NYSE: CRM), is bringing data analytics and AI together in a suite of new and expanded augmented analytics features. Tableau’s latest release will empower more people with the right technology to make smarter and faster decisions regardless of their role and skill level.

New IDC research found that a strong data culture creates numerous benefits including increased collaboration, innovation, and measurable value like trust and accountability, regardless of industry or region. However, gaps persist between expectations and reality —83 percent of CEOs expect their organizations to be more data-driven, but only 33 percent of employees are comfortable using data analytics to support their decisions.

“Organizations can drive growth and foster innovation by pairing the right technology investments with a focus on data culture,” said Chandana Gopal, IDC Research Director, Future of Intelligence. “Technologies like embedded AI and augmented analytics are promising tools that can democratize analytics beyond the traditional BI and advanced analyst user, and empower all workers to become more data-driven in their decisions.”

Key new augmented analytics functions from Tableau include:

  • Ask Data is now available to all roles and users for Tableau Server and Tableau Online with several significant updates. Ask Data helps more people, regardless of their role, answer business questions using natural language. With a new input experience that guides users on how to ask the most relevant question and dashboard integration for an integrated, simple, and personalized experience, this release of Ask Data dramatically broadens the number of people who can successfully ask questions of data.
  • Explain Data is now available to all roles and all users for Tableau Server and Tableau Online. It helps answer the ‘why’ in data by using powerful statistical methods and machine learning to surface understandable explanations behind data points. Now with a UI optimized for a wider audience, business users can quickly understand the drivers behind a specific data point. Explain Data also reduces the risk of error by searching for explanations in the entire data source, beyond what is shown in the visualization.
  • Ask Data for Salesforce helps Salesforce users ask any question in Tableau CRM using natural language and semantic search to get answers instantly in the form of insights, instantly generated reports, and recommended dashboards, tailored to the context of their business. Because Ask Data for Salesforce automatically learns directly from Salesforce data and users, minimal admin setup time is required, enabling all users to start using data for decision making.
  • Einstein Discovery for Salesforce Reports auto analyzes data from Salesforce reports quickly and thoroughly to explore and identify the most important insights, surfacing them with charts and explanations that are easy to understand. It helps reduce the barrier to machine learning by enabling direct access to the associated Einstein Discovery story, where users can analyze further.

“There’s a growing disconnect between business leaders expecting a data-driven organization, and employees who aren’t comfortable using data to make decisions,” said Francois Ajenstat, Chief Product Officer, Tableau. “Building truly data-first organizations requires unlocking the power of data for as many people as possible. AI-powered analytics will help more people use data to answer questions, make meaningful decisions, and, ultimately, transform their business.”

Through augmented analytics, Tableau tackles the data skills gap by guiding people to uncover insights they wouldn’t otherwise see or discover.

“Ask Data opens up an opportunity to close the gap between advanced analysts and a broader, general business audience, allowing anyone to connect and explore data,” said Ilya Kovalenko, ‎Data Analyst & Visualization Team Lead, Siemens. “By leveraging Tableau’s modern and fast natural language processing technology, our colleagues are reaching insights faster than ever before. With Explain Data, our team is not only able to see data trends, but can easily identify and understand what’s driving them.”

The newly expanded Ask and Explain Data features are now available in Tableau 2021.2. Einstein Discovery for Reports is now available with the Salesforce Summer ‘21 release. Ask Data for Salesforce will be available early next year.

Additional new features in Tableau 2021.2 include:

  • Collections: Curate content to simplify collaboration and engagement across the organization. People can easily add content (workbooks, data sources, etc) from across their site) and create custom gallery layouts and share them with others.
  • Jumpstart Your Salesforce Connection: Helps organizations and administrators onboard their employees using Salesforce to Tableau by pre-populating your Tableau Online site with relevant data sources and workbooks that accelerate exploration of Salesforce data.
  • Connected desktop for web authoring: Enables Creators to transition seamlessly from web authoring to Tableau Desktop for an improved authoring workflow.
  • Write to Google BigQuery from Tableau Prep: Empowers people to add or update data in Google BigQuery with clean, prepped data.
  • Containers: Gives customers the ability to run Tableau Server in a single container, making deployments easier, faster, and more efficient. In 2021.2 Tableau will support Kubernetes and Docker containers for Linux.
  • New Canada Tableau Online Pod: Serves our customers in Canada with greater stability and performance.
  • Area spatial calculation Allows analysts to measure the square area of a selection on a map, amplifying the power of spatial joins.
  • Amazon SageMaker for Tableau: Provides a unique opportunity to communicate and share machine learning (ML) with anyone, via self-service analytics. With a few clicks, people can implement ML models built on SageMaker directly within Tableau dashboards.

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