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ThoughtSpot

How to use self-service analytics for product-led growth

As the SVP for User Growth at ThoughtSpot, my job is to optimize our product features to reduce friction and encourage more user engagement. I spend my days analyzing our user data to answer questions like: The key to product-led growth is to identify measurable success metrics both for the product overall (your North Star metric) and for each product feature. Choosing the right North Star metric is crucial.

Future of work: Five lessons startups can learn from their sales teams as the world goes remote

One of the COVID-related changes that seems unlikely to be reversed is the increase in remote work. Particularly in tech, many companies have done away with office requirements entirely. For startups, this will have a profound effect on the ways they will grow, hire, and build culture. For individuals, it will mean figuring out a new routine and approach to daily life.

Top six ways to use self-service analytics for pipeline management

Pipeline management is vital to the go-to-market strategy of any B2B business. A healthy pipeline is the closest you can get to a guarantee that you’ll make your targets by the end of the sales cycle. As the SVP of Business Operations at ThoughtSpot, I’m responsible for putting actionable insights into the hands of our sales and marketing functions to drive predictable pipeline growth.

Pharmaceuticals Sales Analytics with ThoughtSpot, Snowflake, and SDG Group

See how easily you can search to generate granular, actionable insights with Live Analytics on prescription sales and market share data for a fictional pharmaceutical company. Learn how to analyze IQVIA (third-party prescription data) and Veeva (sales CRM) data with ease and speed to track market performance and assess market share and salesforce performance. ThoughtSpot Analytics on top of the Snowflake Data Cloud with the expertise of SDG Group enable you to combine these different data sources and ask ad-hoc exploratory questions with ease.

5 Highlights from Snowflake Summit 2022

It’s that time of year again. Conference season is upon us! And, for the first time in what feels like a lifetime, the data ecosystem is getting back together in person. It couldn’t come at a more important time. The decade of data is upon us, as we unveiled at our own customer conference Beyond 2022. The opportunity is greater than ever before. So, too, is the need to change.

Top three ways to use self-service analytics for marketing operations

As the Senior Director for Marketing Ops at ThoughtSpot, I’m the owner of our full marketing and sales tech stack. So, you know. No pressure. I started out as a Marketing Analyst — certified Tableau superuser, the whole deal. And I’ve got to say what I can do now versus what I could do then is night and day. What used to take me hours in Tableau back in 2015 literally takes me minutes in ThoughtSpot.

Data Engineer vs Analytics Engineer: How to choose the career that's right for you

A little over a year ago, I found myself feeling stuck in my role as a data engineer. I had majored in business in college and was looking to connect more with that side of things. I enjoyed my tasks as a data engineer but I wanted more flexibility and creativity. I wanted to be involved in business decisions rather than my tasks already being decided for me.

Top five ways to use self-service analytics for demand generation marketing

As the Director of Demand Gen at ThoughtSpot, I’m responsible for optimizing our campaigns and every customer touchpoint. No biggie, right? I’m part of a lean marketing team at a high-growth company. We’re not in the business of generating leads – we’re about creating real demand for our products.