Systems | Development | Analytics | API | Testing

A lot can happen in 18 months. In a startup, that’s even more true. Here at ThoughtSpot, where we’re known for innovation at a breakneck pace, that feels like a lifetime.

Today, Gartner has positioned ThoughtSpot as a Visionary in the 2022 Magic Quadrant for Analytics and Business Intelligence Platforms, a recognition that we are so excited to continue living up to for our customers.

"I have no particular talent, I am just passionately curious"— Albert Einstein When was the last time you thought about optimizing your analytics toolset for curiosity? Yet what is the value of all the data and analytics in the world if not paired with human curiosity?

Tell us if this analytics scenario sounds familiar: your organization employs an analyst team that uses old technology, desktop data visualization tools, or homegrown reporting systems to manually build out static dashboards and multiple weekly or monthly reports. As a result, the data analysts have to manually generate and update business reports regularly, and teams cannot keep up. In turn, the rest of the organization is unable to make timely business decisions.

ThoughtSpot Everywhere provides SDKs to make embedding ThoughtSpot into your application easy. In addition to the more general JavaScript components for embedding ThoughtSpot, developers can also use React-specific components for those writing React applications. Using the React components you can quickly embed analytics with just a few lines of code.

It feels like a holy war is brewing in data management. At the heart of these rumblings is something that may seem sacrilege to many data architects: the days of the traditional data warehouse are numbered. For good reason. As data volumes continue to grow exponentially, the industry is united in recognizing we need a faster, more agile way to leverage data to unearth insights and drive actions. But that’s about all the industry agrees on.

Being data-driven is no longer optional. With increased digital dexterity among customers and fast-changing market conditions and disruptions, organizations have entered the defining decade of data. This new era is characterized in part by the need to put live data directly into the hands of frontline decision-makers with self-service analytics.

Recently there has been a lot of excitement around the idea of a stand-alone metrics layer in the modern data stack. Traditionally, metrics have been defined in the BI or analytics layer where various dashboards are used to look at business metrics like Revenue, Sales Pipeline, numbers of Claims, or User Activity. Given that most organizations end up with multiple BI/Analytics tools, the idea has a lot of merits.

Data has long been a critical asset for businesses like yours to understand customers, operate more efficiently, inform go-to-market strategies, and retain your best employees. In a digital world, capturing and creating data-driven insights provides a major competitive advantage for those who can turn insights into action.

Data has long been a critical asset for businesses like yours to understand customers, operate more efficiently, inform go-to-market strategies, and retain your best employees. In a digital world, capturing and creating data-driven insights provides a major competitive advantage for those who can turn insights into action.