Is AI a Game-Changer for Data Analytics? - Grant Grigorian

This week we chat with Grant Grigorian, a long-time friend of mine and founder of Mogi.ai, to explore whether AI is actually a game-changer for data analytics.

We examine what’s broken in the current landscape of data analytics, the complex world of marketing attribution, and the “last mile of analytics” problem (that is., how do you get business users to actually read and use the analyses you produce).

Then we dive very deep into practical applications of AI for data analysis, looking at concrete examples to highlight the strengths and weaknesses of large language models (LLMs) and contrasting them with traditional machine learning approaches.

In closing, Grant reflects on the future of data careers in the age of AI.

Thanks to Our Sponsor

Many thanks to the sponsor of this episode - Knak.

If you don't know them (you should), Knak is an amazing email and landing page builder that integrates directly with your marketing automation platform.

You set the brand guidelines and then give your users a building experience that’s slick, modern and beautiful. When they’re done, everything goes to your MAP at the push of a button.

What's more, it supports global teams, approval workflows, and it’s got your integrations. Click the link below to get a special offer just for my listeners.

Try Knak

About Today's Guest

A startup guy who loves B2B marketing technology, analytics, and AI, Grant Grigorian is a serial entrepreneur. Coming from an operations background, Grant founded Path to Scale, a marketing analytics company, that sold to Engagio (later acquired by DemandBase). Today he's the CEO and co-founder of Mogi, an app that simplifies marketing data analysis by automatically delivering insights and recommendations to your team.

https://www.linkedin.com/in/grantgrigorian/

Key Topics

• [00:00] - Introduction
• [01:06] - What’s broken in data analytics
• [08:45] - Using data to justify marketing’s existence
• [18:15] - Analyzing marketing tactics
• [24:39] - The “last mile of analytics” problem
• [28:56] - Strengths and weaknesses of LLMs to extract insights from data
• [45:49] - Difference between LLMs and machine learning
• [50:37] - The importance of context for AI
• [54:39] - Impact of AI on data careers
• [1:00:07] - Motivations as a repeat founder

Thanks to Our Sponsor

Marketers: it's planning season. Time to live in your office with the world's biggest spreadsheet and hope that finance doesn't slash your budget.

Planning is tough, but at least you can put your best foot forward with a structured framework that covers all the bases. Our friends at Uptempo have just launched the Blueprint for Marketing Planning.

It's a totally free and comprehensive guide for enterprise marketing teams. You'll get a seven-step planning process that integrates top-down strategy with bottom-up execution and gives you a crystal clear picture of how you'll hit your number.

Get your free copy now:

Uptempo Planning Guide

Resource Links

• Mogi.ai

Learn More

Visit the RevOps FM Substack for our weekly newsletter:

Newsletter