Table Cloud integrates data storage to interpret data clearly

Increasing and facilitating access to data analysis is one of the focal points of Mooknatak, which hosted its annual conference in Las Vegas this week. To present data analyzed in natural language, the editor integrates data storage into its SaaS offer, called Table Cloud. It adds the ability to create native predictive models without coding from the Einstein Discovery Engine.

For its annual conference, Tableau has brought its users together in one place for the first time since 2019. 4,000 of them were expecting an event this week in Las Vegas. In recent months, the publisher has made great strides in integrating its software with Salesforce, which it bought three years ago. Thus there have been several developments in CRM, including access to Einstein’s artificial intelligence tools and then the use of Slack (also acquired by Salesforce). Now at the head of the table for a year, CEO Mark Nelson reiterated – during a press briefing – the importance of understanding data in an economic and geopolitical context that has become critical, and expanding the use of these tools to more users. The goal, repeated many times, is not so easy to achieve. A survey by Forrester Consulting (see box) shows that while 82% of leaders expect initial proficiency in their business team data, three-quarters of them believe that these teams should be given on-the-job training. The same survey noted that in France, only 34% of managers surveyed said they trained all their employees to master data.

Cloud is the fastest way to access data and gather information from it, Mark Nelson mentioned when announcing the changes made online, now Cloud is named. This SaaS version of Tableau has already been used by thousands of subscribers and 70% of new subscribers prefer it over the immediate on-premise version. To get started easily with the cloud, more than 100 ready-to-use accelerators will be accessible on the Tabello Exchange. They cover multiple applications, businesses and industries, with fully customizable templates helping companies quickly get value from their data. It will soon be possible to launch these accelerators directly into the cloud. During one of the demonstrations, Kitty Chow, product manager, demonstrated how you can safely share your tables not only within your work group, but also in public, with those who do not have mock drama. A little later in the year, it will be possible to integrate dashboards created into websites. Kitty Chow also demonstrated administrative features for centralized security monitoring, including access to customer-managed encryption keys and provision for enterprise-wide analysis. The activity log function reveals the events that took place in the analytical environment. It helps users understand how MockDynamite is being used and tracks permissions. Another function, Admin Insights, will make it easier for administrators to test data over a long period of time to identify older content.

Data storytelling, data narrative presentation

Last December, Tableau acquired Narrative Science, a partner since 2016 and an expert in data storytelling technology that uses the power of natural language to present data analysis in a descriptive form. Narrative science technology automatically analyzes, constructs, and communicates insights gained from data in an intelligible way, increasing the number of people who can take action on that insight.

Charitable Feeding America, which has built a national network of more than 200 food banks in the United States, uses data storage features to help its teams better understand the data they have to allocate food aid. (Credit: Table / Feeding America)

The acquisition leads to data storage functionality, which is currently being offered for pre-release in the cloud and will be available soon, said François Ajenstat, Salesforce’s Tablau product manager. The on-premise tableau server version will be updated later this year with data storage. “You have to make data speak human language because 70% of people are not going to speak data language,” Ajenstat stressed. The software will automatically create stories from the analysis to understand what is happening in users’ data. This is an important feature that has been announced at the Mock Theater Conference 2022. It is dynamic. When the user interacts with the dashboard, the story is updated with new selections. Everyone can explore data more precisely.

Create predictive models with Model Builder

The news about artificial intelligence is the third set of important announcements of Mooknatya Sammelan 2022. After making BI more accessible, Tableau now seeks to expand the use of data science, so powerful but accessible to only a few. “When we joined Salesforce, the first thing we saw was what Einstein could bring to the silent drama,” recalls Franোয়াois Agencent. Business Science Analytical tools are powered by AI to help business experts deal with difficult data situations. With Model Builder, which will be available in advance this year, it will be possible to create predictive models (linear and decision trees) without coding.

When the predictive model is trained, one can examine its effectiveness to see what factors influence the predictions, Mookana explains in a post.

These predictive models can be created collaboratively between business teams from the Einstein Discovery Engine without leaving the table’s workflow. They will thus be available locally and can be imported into the dashboard to get forecasts in the analysis flow. The Scenario Planner feature will help you analyze what-ifs. Starting with a historical database, it will be possible to adjust the variables to get the possible results.

Sharing dimensions for developers

Finally, Mookana has also announced more features for developers in all three cases. Shared dimensions enrich data modeling, Web Data Connector version 3.0 facilitates connectivity with web data and APIs, and table extensions allow the use of R and Python languages ​​in table data models. Other developments also enrich the developers’ tools.

The table data model can now support complex relationships between multiple tables. (Credit: Mooknatya)

New features of the play will be available later this year.

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