BI: ThoughtSpot goes SaaS

ThoughtSpot, the BI and analytics publisher whose platform uses augmented intelligence (ie, infused with AI) to simplify data mining, released ThoughtSpot Cloud on Tuesday to the very first SaaS version of its suite.

ThoughtSpot Cloud will be released just under three weeks after a comprehensive update to the publisher platform, which is characterized by new functions for managing data without code and a recommended function based on artificial intelligence requests.

From the cloud to the SaaS

ThoughtSpot has always had a cloud option and has always been able to deploy on major hosted infrastructures: AWS, Google Cloud Platform, and Microsoft Azure (among others). The tool connects to various cloud data warehouses (DWaaS), including the very popular Snowflake.

However, prior to the ThoughtSpot Cloud, customers had to manage their deployments themselves (on premise or in the cloud), which required a certain level of expertise.

With its SaaS version, ThoughtSpot manages the software – including initial deployment, patches, updates and version upgrades. “These are three of the great advantages [de cette version SaaS] : Faster deployment and less time to use the tool for the enterprise side, and the freedom from managing the tool for IT services, ”argues Doug Henschen, director of analysts at Constellation Research. “This makes sense for companies that take a ‘cloud first’ approach where they no longer have to provide and manage software management themselves.”

Mike Leone, Senior Analyst at Enterprise Strategy Group, also believes that ThoughtSpot’s new SaaS marketing mode is a good thing for both the publisher and the user.

“Previously, ThoughtSpot relied on partners to deliver managed services to end users. With this announcement, customers are in direct contact with ThoughtSpot through their own managed service, ”he explains.

“When you find that more data is being created and processed in the cloud, and decision-making cycles are getting much shorter, it makes sense to move to the cloud. Sudheesh Nair CEO of ThoughtSpot

According to Sudheesh Nair, CEO of ThoughtSpot, the idea for ThoughtSpot Cloud came from customer needs. With the advent of 5G and the advent of the Internet of Things (IoT), the amount of data created in the cloud would increase exponentially. Instead of bringing this data back to a company’s data center, it makes more sense to leave it in the cloud.

Another element: Organizations want to go faster. “Mobility has now become the oxygen of the job,” notes Sudheesh Nair. “When you find that more data is being created and processed in the cloud, and decision-making cycles are getting much shorter, it makes sense to move to the cloud.”

“This is another sign that the move to the cloud is only accelerating with the pandemic,” affirmed analyst Doug Henschen. “There is an increasingly strong demand for” as-a-service “and, conversely, an ever less pronounced desire to manage and manage the software that supports the functions itself, an organization wants to consume”.

Third option for ThoughtSpot

In terms of pricing, the ThoughtSpot cloud will be the third option for deploying the platform.

The publisher already offered two options: ThoughtSpot Enterprise and ThoughtSpot Extended Enterprise, a high-end version of the enterprise platform with additional functions such as: B. certain built-in analysis functions. Now the SaaS version offers the ability to only pay for the data that users actually consume and analyze, instead of paying a fixed price regardless of how they use their data.

“This option should encourage wider adoption,” predicts Doug Henschen.

ThoughtSpot Cloud offers, among other things, “personalized onboarding” (specific integration processes per role, with which the user experience can be adapted for faster handling), a digital assistant (a kind of step-by-step guide). Step by step for new users to help them with their first research), SpotApps (reusable low-code models to simplify the collection of information from a specific application like Salesforce) or optimized queries to the most important cloud data Warehouses in the market (Snowflake, Amazon Redshift, Google BigQuery and Microsoft Azure Synapse).

With the editorial team of Search Business Analytics