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Top three requirements for self-service analytics according to Harvard Business Review

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.

The metrics layer has growing up to do

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.

Why now: The urgency for creating a data driven organization today

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.

Why now: The urgency for creating a data driven organization today

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.

How Snowflake CIO and CDO, Sunny Bedi drives efficiency and decision intelligence at scale with Live Analytics

For Snowflake CIO and CDO, Sunny Bedi, “life after dashboards” isn’t just a catchy tagline – it’s how he runs his business. At the helm of Snowflake’s 250-person IT and security organization, Bedi oversees a range of strategic initiatives including security and access control, data quality, and general system availability and performance.

Data sharing isn't optional this year - its essential

The concept that data is critical to an organization's growth is nothing new. As digital transformation takes every industry by storm, however, the types and sources of data have rapidly evolved. Relying simply on proprietary data is blinding at best. Over the last few years, innovative companies have raced to tap into new sources — often those they don’t own.

New report from Harvard Business Review demonstrates why businesses must invest in self-service analytics

In 2020, ThoughtSpot and Harvard Business Review Analytic Services teamed up on original research demonstrating the power of the new decision-makers — employees on the frontlines of your business who interact with outside customers, partners, and vendors on a daily basis. Through our research, we found that 87% of leaders said their organization will be more successful when frontline workers are empowered to make important decisions in the moment. Why?

Using Postman with ThoughtSpot APIs

ThoughtSpot provides a rich suite of APIs for search, user controls, and platform metadata. These APIs can be especially useful for sharing data with partners via webhooks, building native mobile apps, providing results in json format for third-party charting libraries like D3, or scripting ThoughtSpot configuration to support devops and continuous integration toolchains.

Fueling customer loyalty with data: A Q&A with Pilot Flying J's Chief Data and Analytics Officer Ameet Shetty

If you’ve ever been on a long road trip, then you know the feeling of relief that comes when finally spy a recognizable truck stop or service station to pull into. Whether to fill up the tank, grab a snack, or ask for directions, fuel stations are a ubiquitous part of automotive travel, and there are more than 150,000 of them across the country. Pilot Flying J accounts for 750 of those locations, serving more than 1.3 million people daily.