- Tableau 2021.1 delivers AI-generated predictions, insights and automated 
explanations to help democratize data science

Tableau, the world's leading analytics platform (NYSE: CRM), today introduced 
Business Science, a new class of AI-powered analytics that lowers the barrier 
to data science techniques, enabling business users and analysts to make 
smarter decisions faster. In a market where agility is the ultimate competitive 
advantage, Business Science empowers more people with data, with simplified 
model creation, predictions, what-if scenarios, forecasting and other 
analytical methods – all using clicks, not code.

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Tableau will deliver Einstein Discovery in its 2021.1 update later this month, 
the first major release enabling Business Science. Integrating Einstein 
Discovery's trusted, real-time predictions and recommendations into Tableau 
will help people go beyond understanding what happened and why it happened, to 
explore likely business outcomes and inform proactive action. For more than 
five years, Einstein Discovery has helped Salesforce customers surface insights 
and understand patterns across millions of rows of data in minutes, without 
requiring sophisticated data models.

"Today, data science is out of reach for most business users. Business analysts 
have relied on data scientists to extract powerful, precise insights using 
sophisticated models. But getting to those insights can be complex, expensive 
and time consuming," said Chandana Gopal, research director, future of 
intelligence, IDC. "While data science can unlock powerful insights, there is 
sometimes a trade-off between precision and time-to-insight. Business Science 
recognizes that trade-off and seeks to make data science accessible and 
actionable for more people."

Business Science will elevate the work of both data scientists and advanced 
analysts.

"Data science has always been able to solve big problems but too often that 
power is limited to a few select people within an organization," said Francois 
Ajenstat, chief product officer, Tableau. "To build truly data-driven 
organizations, we need to unlock the power of data for as many people as 
possible. Democratizing data science will help more people make smarter 
decisions faster."

Customers can use Business Science to improve supply chain efficiency, predict 
likelihood of purchase or maximize delivery of goods or services, for example. 
Data science could help with vaccine research and development, while Business 
Science could help with distribution and get shots in people's arms.

"Machine Learning platforms like Einstein Discovery are the next frontier in 
democratizing data science," said Siddharth Dayama, senior manager of data 
analytics, Verizon. "Einstein Discovery integrated into Tableau brings 
predictive capabilities to the existing inventory of dashboards companies 
already have, and when that's combined with auto-generated machine learning 
models, businesses can explore patterns, trends and correlations in their 
historical data without writing a single line of code. Layering ML/AI 
capabilities on existing BI infrastructure opens up a world of possibilities in 
day-to-day business problem solving."

Additional capabilities available in 2021.1 include:

-  New Microsoft Azure Connectivity Improvements allow people to connect to
   their data in Azure SQL Database (with Azure Active Directory) and Azure
   Data Lake Gen 2. Tableau also now supports Azure Active Directory in two
   existing connectors, Azure Synapse and Azure Databricks. 
-  A new Extension Gallery helps people easily search for and discover 
   connectors and dashboard extensions within Tableau. From the gallery, 
   customers can easily discover and install connectors and dashboard 
   extensions that add functionality to their dashboards and connectors that 
   enable Tableau to access additional databases and applications, within 
   their Tableau workflow. 
-  A redesigned notification experience displays a Tableau user's shares, 
   comments, extracts and prep flows together in one dedicated space. This 
   communicates all important changes across the organization. People can 
   choose where to receive these notifications — directly in Tableau, email or 
   both — ensuring they're aware of important alerts or updates. 
-  Quicker, easier Level of Detail (LOD) expressions let people use context 
   menus or drag-and-drop a measure onto a dimension to automatically create a 
   Level of Detail expression with the default aggregation. 
-  A new Salesforce Customer 360 Audiences Connector natively connects Tableau 
   to Customer 360 Audiences, uncovering insights in detailed customer data. 
   With the new connector, Tableau customers can explore by campaign, channel 
   and multiple customer dimensions to understand the 'who' and 'why' behind 
   their cross-channel engagement results.

2021.1 will be available later this month. To learn more about Business 
Science, visit: 
https://www.tableau.com/about/blog/2021/3/what-is-tableau-business-science. To 
learn more about Tableau AI and analytics, visit: 
https://www.tableau.com/solutions/ai-analytics

About Tableau
Tableau helps people see and understand data. Tableau's self-service analytics 
platform empowers people of any skill level to work with data. From individuals 
and non-profits to government agencies and the Fortune 500, tens of thousands 
of customers around the world rely on Tableau's advanced analytics capabilities 
to make impactful, data-driven decisions. For more information, please visit 
www.tableau.com.

About Salesforce
Salesforce is the global leader in Customer Relationship Management (CRM), 
bringing companies closer to their customers in the digital age. Founded in 
1999, Salesforce enables companies of every size and industry to take advantage 
of powerful technologies—cloud, mobile, social, internet of things, artificial 
intelligence, voice and blockchain—to create a 360-degree view of their 
customers. For more information about Salesforce (NYSE: CRM), visit: 
www.salesforce.com.

Source - Tableau Software