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How Not to Drown in Numbers | Sudheesh Nair (ThoughtSpot) & Jai Das (Sapphire Ventures)

A replay from Slush 2023: How Not to Drown in Numbers — Data as a Springboard to Success We are a generation drowning in data. Accumulating endlessly, it is useless without analysis. And while it’s crucial for success, one outdated or missed fact can drag you under. How can businesses leverage accurate data quickly to take meaningful action?

Top 7 data visualization examples you need to know

Data is key to building resilience and achieving operational excellence—but first, your data must be intelligible. Luckily, modern BI solutions have intuitive interfaces that allow business users to build interactive data visualizations and contextual data stories. With this knowledge at their fingertips, your entire organization is empowered to make data-driven decisions.

What's New in ThoughtSpot - 9.7.0 Cloud Release

ThoughtSpot Analytics Cloud 9.7.0 is now available! 👉 Bookmark your filters and parameters with Personalized Liveboard Views to access Liveboard data quickly👉 Ask coding questions in natural language and receive contextual GPT-assisted instructions and code with ThoughtSpot AskDocs👉 Version control your analytic content by integrating ThoughtSpot with Git repositories Plus lots of new features and enhancements you’ve been waiting for.

Build AI-driven near-real-time operational analytics with Amazon Aurora zero-ETL integration with Amazon Redshift and ThoughtSpot

Every business that analyzes their operational (or transactional) data needs to build a custom data pipeline involving several batch or streaming jobs to extract transactional data from relational databases, transform it, and load it into the data warehouse. In this post, we show how you can leverage Amazon Aurora zero-ETL integration with Amazon Redshift and ThoughtSpot for GenAI driven near real-time operational analytics.