Tableau 2021.1 delivers AI-generated predictions, insights
and automated explanations to help democratize data science
SEATTLE, March 23, 2021 /PRNewswire/ -- 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.
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.
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