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ThoughtSpot

Will Data Mesh, Data Fabric, or the Data Lakehouse Dethrone the Data Warehouse?

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.

#40 ServiceNow's Vijay Kotu on the Power of Micro Decisions and Aligning Data to Business

Vijay Kotu is the SVP of Data and Analytics for ServiceNow, a company that is helping enterprises manage digital workflows. In this episode of the Data Chief, Vijay discusses how he is building a high-growth “mathematical enterprise” where frontline workers are empowered to make smarter business decisions with data and AI. He also speaks about the impact of ecosystems, the need for businesses to have a holistic view of their data in order to create positive outcomes, and why being intentional about analytics use cases is absolutely essential.

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 Data Chief LIVE: Better for everyone: How to battle bias in AI

Join Dr. Haniyeh Mahmoudian, Global AI Ethicist at DataRobot, Alyssa Simpson Rochwerger, co-author of Real World AI: A Practical Guide for Responsible Machine Learning and Director of Product Management at Blue Shield of California, Dr. Besa Bauta, Chief Data and Analytics Officer of State of Texas, Department of Family and Protective Services and NYU adjunct assistant professor, and ThoughtSpot Chief Data Strategy Officer, Cindi Howson, as they discuss the complexities of bias in AI.

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.

ThoughtSpot for Starburst

ThoughtSpot brings Live Analytics to Starburst for federated searches across data lakes, on-prem data stores, and multi-cloud data sources. Data is growing at historic rates and lives in many different stores. With Starburst, ThoughtSpot can instantly federate searches across all these sources, without months or years of building a “single source of truth.”

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.