Applying Filters
Enjoy this lesson from the Working with Filters course found in the Business User learning path on ThoughtSpot U. This lesson covers the basics of applying filters to get the results you want.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
August 2022
Using Keywords
Enjoy this lesson from the Using Keywords course found in the Business User learning path on ThoughtSpot U. This lesson covers just some of the many keywords available when searching in ThoughtSpot.
Creating Liveboards
Enjoy this lesson from the Introduction to Liveboards course found in the Business User learning path on ThoughtSpot U. This lesson covers the methods used to create basic Liveboards, and how you can use Explore mode to investigate your live data.
Customizing Charts and Visualizations
Enjoy this lesson from the Customizing Charts and Visualizations course found in the Business User learning path on ThoughtSpot U. This lesson covers some of the tools available for customizing the appearance of your charts and tables.
Sharing Answers and Liveboards
Enjoy this lesson from the Sharing Objects course found in the Business User learning path on ThoughtSpot U. This lesson covers how to share answers and Liveboards with colleagues and how to control the sharing permissions.
Introduction to Formulas
Enjoy this lesson from the Introduction to Formulas course found in the Business Analyst learning path on ThoughtSpot U. This lesson covers the basics of using formulas to created derived columns in your data.
Going beyond dashboards at Gartner Data & Analytics Summit
See how you can use ThoughtSpot to analyze real-world sustainability data from United Nations and the World Bank, as demonstrated at Gartner Data & Analytics Summit.
What's new in ThoughtSpot Analytics Cloud 8.6.0
This month, we’re thrilled to introduce a new Liveboard experience with a new edit mode, improved filtering, and HTML in titles and descriptions. We’ve also expanded dbt integration support, added a new live query connector for Denodo, and added a number of enhancements.
Kyocera is an industry leader with ThoughtSpot data-driven insights
Founded in 1959 as a producer of fine ceramics, Kyocera combined engineered materials with metals and integrating them with other technologies. By partnering with ThoughtSpot and using data-driven insight, Kyocera has been able to address their challenges through seeing more data visibility.
Going beyond dashboards at Gartner Data & Analytics Summit
Well, that was interesting! I just finished the Show Floor Showdown for Business Intelligence at Gartner Data & Analytics Summit with team ThoughtSpot. (Reminder: ThoughtSpot was named a Visionary in Gartner’s 2022 Magic Quadrant™ for Analytics and BI Platforms.) For the setup, we were asked to play the roles of sustainability experts, government officials, and business leaders working to understand the impact of sustainability goals on economic, environmental, and social outcomes.
Using CodeSandbox for ThoughtSpot Everywhere development
Over the past week or so, I’ve been working on updating our Developer Workshop content. One of the trickiest parts of running workshops is the differences in local environment configuration: some attendees have a Mac, others windows, some with admin permissions, and some without. So much depends on what your company provides and how they manage their systems. To make things easier, I’ve been relying on CodeSandbox to eliminate a lot of the unknown.
Modern Milkman makes sustainability accessible to every consumer with ThoughtSpot
Driven by the power of self-service insights, Modern Milkman is making giant leaps forward in their mission to empower every consumer to reduce their plastic waste.
Using Webhooks and ThoughtSpot Custom Actions
One of the most significant benefits of the modern data stack is the loosely coupled nature of each layer to help you adapt to change and capitalize on new business opportunities. You can choose the best solution which fits your need without long-term vendor commitments, and the risk of introducing complex integrations and IT management. One of the ways to achieve this loose coupling is through webhooks.
Data Modeling in the Modern Data Stack
Join Veronika Durgin, Chris Tabb, Joe Reis, and Sonny Rivera as we discuss Data Modeling in the Modern Data Stack. Listen to where data modeling is headed and how Data Vault and Data Mesh are changing the landscape.
DoorDash's VP of Analytics & Data Science, Jessica Lachs on Leveraging Data to Delight Customers
Who’s hungry? Thanks to delivery apps like DoorDash, it’s never been easier for modern consumers to satisfy almost any craving in just a few taps. At the helm of DoorDash’s data organization is VP of Analytics & Data Science, Jessica Lachs. With metrics guiding every decision at the company, a key part of her decision-making comes down to properly quantifying the value of each possible tradeoff. Learn more about her decision-making framework, plus how her career in finance evolved into entrepreneurship and ultimately led her to create the data and analytics organization at DoorDash.
How to Connect ThoughtSpot to Amazon Redshift Serverless
Many businesses rely on Amazon Redshift Serverless for their cloud data warehouse and ThoughtSpot to derive insights from the data stored within. For this blog, I’m going to show you how to create a connection between Amazon Redshift Serverless and ThoughtSpot. It’s easy to connect Redshift with ThoughtSpot whether you have it running as a cluster which you have provisioned, or serverless.
5 analytics engineering tools every engineer needs to know
Are you considering venturing into the world of analytics engineering? Analytics engineers are the newest addition to data teams and sit somewhere between data engineers and data analysts. They are technical, business savvy, and love to learn. A huge part of an analytics engineer’s role is learning new modern data tools to implement within data stacks.
Optimize your cloud data cost: 4 steps to reduce cloud data platform cost before they control you
If you have managed a cloud data platform, you have undoubtedly gotten that call. You know the one, it's usually from finance or the office of the CFO, inquiring about your monthly spend. And it usually comes in one of two forms: While both are clear and present dangers to cloud data platform owners, they don’t have to be.