Last week ThoughtSpot took big steps toward further focusing our pricing on a single metric: customer value. In the course of my career, I’ve worked at many companies, and seen countless products, packages, and editions launched. Often, these initiatives are guided by what’s in it for the company: how do we get better margins, cross or upsell products together, or maximize revenue?
It’s no secret that modern data professionals are under immense pressure to deliver more data and insights to more business users, more quickly than ever before. Data is the lifeblood of your business. And frontline business people need personalized, actionable insights to make data-driven decisions. But before these users even touch a self-service Live Analytics platform like ThoughtSpot, the data must be appropriately modeled by analytics engineers.
As companies go all in on the cloud to dominate the decade of data, agility, flexibility, and ease of use are critical to success. That’s why we’re so excited to announce ThoughtSpot’s support for Amazon Redshift Serverless which allows customers to leverage the Modern Analytics Cloud to run and scale analytics on Amazon Redshift without having to provision and manage any data warehouse infrastructure.
Today, we are excited to announce the availability of CodeSpot, a searchable repository of ThoughtSpot blocks and code samples to help developers embed engaging analytics experiences into any app for the modern data stack. CodeSpot harnesses the knowledge and experience of ThoughtSpot Everywhere developers, data analysts and engineers, and product experts to build a broad ecosystem of shareable assets to accelerate development projects and benefit our developer community and customers.
Wondering how to add custom HTML styling to your chart headers and descriptions, or add conditional formatting to your KPI charts? See how in ThoughtSpot's 8.2.0.cl release!
To learn more, please visit https://www.thoughtspot.com/new-features/8.2.0-cloud
ThoughtSpot elements such as search, Liveboards, and data connections are all defined in a JSON-based metadata definition called ThoughtSpot Modeling Language, or TML. Recently, I blogged about how you can use Postman to access platform APIs to import/export TML as part of your devops processes; for example, to check in TML definitions and push to another environment via a continuous integration process. The TML export is pretty straightforward.
