How to Organize Modern Data and Analytics Teams with Mode Analytics Co-Founder, Benn Stancil
Oct 25, 2023
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Benn Stancil, Co-Founder of Mode Analytics and Field CTO at Thoughtspot, discusses the importance of data excellence, centralized data infrastructure, natural language search, and the impact of large language models. He highlights the risks of shadow tools, the need for visibility into business context, and the role of ambition in selecting data tools within organizations.
Data excellence is vital for organizations, balancing centralization with decentralization for successful data integration.
JNAI tools are expected to transform data roles, emphasizing the shift towards feeding data into advanced AI models.
AI integration in data teams emphasizes the importance of maintaining data quality alongside advancements in AI tools.
Deep dives
Role of Data Excellence in Organizations
Data excellence plays a crucial role in organizations, with a focus on data engineering and analytics engineering for data preparation. These roles are essential for ensuring clean and structured data for various applications, including AI models. The podcast discusses how data prep roles evolve alongside AI advancements, emphasizing the importance of quality data for successful AI implementations.
Impact of JNAI Tools on Data Roles
The introduction of JNAI (Jet Not AI) tools is expected to influence data roles by shifting the data preparation focus towards feeding data into advanced AI models. While the roles of data engineering and analytics engineering remain crucial for preparing data for AI applications, the podcast suggests that these roles may adapt to support machine learning engineers effectively.
The Future of Data Teams with AI Integration
The podcast delves into the future dynamics of data teams with AI integration, highlighting the continuing significance of data engineering for cleansing and structuring data. While AI tools may streamline certain aspects of data preparation, the podcast indicates that the core responsibilities and challenges of data roles are likely to persist, underscoring the ongoing importance of maintaining data quality for successful AI utilization.
The Evolution of Interaction with Data
The podcast delves into the evolving landscape of working with AI models and data interactions. It highlights the shift from focusing on mastering specific prompts or syntax to developing a broader 'spider sense' skill similar to navigating Google searches. The discussion emphasizes the importance of understanding the technology and mechanics behind AI advancements without overemphasizing the need for intricate prompt engineering.
Transition Towards Natural Language Interface
The episode explores the transition towards natural language interfaces in the BI world. It discusses the journey from traditional methods like drag-and-drop pivot tables to incorporating natural language queries for faster and more intuitive data analysis. The conversation emphasizes the significance of integrating natural language capabilities into existing BI tools to enhance user experience for both business users and data analysts.
Description: On this episode, Benn Stancil, Co-Founder of Mode Analytics and current Field CTO at Thoughtspot shares his thoughts on who wants to use data to solve problems, and who just wants data to validate an opinion. He brings unique perspectives to how data excellence can be proliferated through an organization, whether shadow IT is a nuisance or a guide post, and how large language models will influence the future of data.
Key Moments:
How an internal analytics tool Benn built at Yammer led to starting Mode Analytics to serve the new breed of technical data teams (4:00)
Why the urgency around BI consolidation in 2023 prompted conversations with ThoughtSpot (52:30)
The risks of shadow tools and lack of consistency; importance of a centralized data infrastructure (26:30)
Using natural language search as an interface for asking novel questions and changing how people use data (44:00)
Data teams need visibility into the business context; centralization for infrastructure but decentralization to embed in business units (23:30)
How ambition plays an outsized role in the type of data tools selected in an organization (17:58)
Key Quotes:
Courage, ultimately, is needed in making a decision that you have to own. [Unfortunately], data can be a punt. If you make a data driven decision, nobody made the decision. The data made the decision. There is like an abstraction there of who was actually responsible for it.
What ends up happening [in shadow IT] is you spend all this time just trying to figure out, like, which one do you trust? Who's right? Everybody has their different perspective
Good Googlers are not people that know the, the exact syntax of weird Google searches. Good Googlers are the people who have some spider sense about where to go looking for things. And I think AI is probably going to be similar to that, where it's not the crazy prompt engineers that'll make it good. It’s like some of the next level spider sense skills that we don’t know yet.
Benn Stancil is ThoughtSpot’s Field CTO. He joined ThoughtSpot in 2023 as part of its acquisition of Mode, where he was a Co-Founder and CTO. While at Mode, Benn held roles leading Mode’s data, product, marketing, and executive teams. He regularly writes about data and technology at benn.substack.com. Prior to founding Mode, Benn worked on analytics teams at Microsoft and Yammer.