In June 2019, Tableau was acquired by Salesforce for $15.7 billion, and the two got regulatory approval for the completion of the deal. Still, there have been speculations on how Einstein Analytics, Salesforce's business intelligence model, and Tableau might come to join forces. According to Salesforce, their revenue grew up to 66% in the second quarter from the platform and other sources, with 41% of that growth coming from Tableau.
Tableau announced its plans to join forces with Salesforce's Einstein Analytics at its annual conference. The Einstein Analytics will be renamed Tableau CRM, while its AI and ML capabilities integrated with the Tableau platform to democratize data science.
This plan was outlined by Tableau's CEO and president, Adam Selipsky, and Francois Ajenstat, the principal product officer. They said that the platforms would combine over time in a series of roadmaps and integrations that will begin with incorporating Einstein Analytics into the Tableau platform.
Einstein is usually cloud-based and popularly accepted for its augmented intelligence powers. At the same time, Tableau can be deployed into the cloud or premises and mostly deals with data exploration through visualizations. The Einstein Discovery tool utilizes AI and ML to discover patterns in the company's data to enable predictive modeling and prescriptive recommendations. This powerful tool will learn as individuals begin to use it and tell you what may happen through automated insights, then suggest the actions you might consider to improve those predictions.
Although this tool, Einstein Discovery, is not yet ready for consumption, it will generally be made usable in 2021. Customers will benefit from this integration by getting access to the deepest and broadest analytics platform on the market.
It has been a year now since Salesforce announced the acquisition of Tableau-data Visualization Company. The integration move focuses on making Tableau the Salesforce's analytics brand. It integrates all the advanced analytics capabilities of Einstein Analytics, not excluding the prescriptive and predictive analytics into the wide range of Tableau's features. E.g.:
· Tableau desktop-visual analytics
· Tableau CRM-native Salesforce analytics
· Tableau prep-visual data presentation
· Tableau online-analytics platform as a service
· Tableau Server-elf-managed analytics platform
Looking at these features, we can see it's clear that Tableau has been adding tons of value to the product, and it's still progressing with the trend this year. With all these enhancements to Tableau prep, Tableau desktop, and Tableau server, the platform is changing to an enterprise-quality tool from more of an end-user reporting tool in the areas of data presentation, data management, and data analysis.
Ajenstat said that there is no planned change on prices and packages for all of Tableau's offerings. With the rebranding of Einstein Analytics to Tableau CRM, the former name, Einstein, will continue serving as the tag for the more sophisticated analytics across Tableau offerings.
The integration of Einstein Analytics to Tableau will launch early in 2021. It will primarily focus on enabling business users to discover their data patterns without data scientists and data models. There is more in the docket for Tableau in the future with several integration stages. They claimed that they would retain and build the two platforms' capabilities to unite in the future.
The roadmap involves:
· Content portability between Einstein Analytics and Tableau in streamlining the creation of dashboards and make it easily accessible to anyone.
· Natively connect Tableau with Einstein Analytics data store for optimal security and performance
· Data preparation tools and capabilities to read and write to the two platforms, Tableau and Einstein Analytics, to ensure trusted and clean data.
As Ajenstat said, this journey won't be made overnight, and the roadmap for this company mostly revolves around out-bringing analytics anywhere with any data and boosting the product cadence. The companies are working together in an integrated fashion, intending to make analytics more powerful and enable their capabilities to seamlessly work together so they can innovate faster.
After developing the future integrations, Salesforce customers will stand to benefit just like how the Tableau customers will quickly benefit from the AI and ML capabilities of the Einstein Discovery. The Tableau users will be the immediate beneficiaries of the predictive capabilities of Einstein Discovery in the Tableau prep and data analysis environment.
Salesforce is among the best cloud-based solutions available in the market. It has helped both big and small organizations to transform, enhance, and improve their communications with customers digitally.
Generally, Salesforce has much to offer to streamline its users' work by simplifying and minimizing operational costs. The Salesforce model also supports CRM (customer relationship management), and its offerings include sales cloud, service cloud, marketing cloud, app cloud, commerce cloud, community cloud, Einstein Analytics, and financial service cloud. Salesforce has invested in implementing AI into the Einstein platform, which simplifies the analytics workflow and generates more accurate forecasting and many other benefits.
Due to its multiple clouds and applications, companies can use Salesforce to market and track sales or to spend and analyze performance. The various clouds allow users to analyze data, maintain communication forums with customers, and implement multiple sale strategies.
In conclusion, Tableau has been popular with its easy to build dashboards and business reports. But with this new integration, new horizons will open up, especially on reach and the effectiveness of the Analytics solution created around the tools of Salesforce Analytics. The predictive analytics from Einstein Discovery and analytics are an added advantage to grow business in accounts and sales. There's effective utilization from Einstein products being used by the Salesforce users; thereby, Tableau yields a successful and collaborative approach to business analytics. We know that these capabilities will work together more seamlessly and unlock pretty good experiences, although it will take quite some time.