Vikram Chauhan

I read a piece in HBR recently by Marcus Buckingham called What Companies Can Learn from Their Biggest Fans. His argument is that most companies pour their energy into fixing what’s broken — low…

A faster, more reliable way to design complex models using an AI coding assistant and warehouse-integrated validation. Data modeling can be a slow and tedious process. Teams interpret raw schemas,…

A senior exec once asked me whether my experience with streaming vs. batch processing and customer data platforms “really translates” across industries. On the surface, it’s a fair question. But it…

Over time, a lot of data teams drift into a pattern that’s hard to break out of. They become ticket takers, constantly responding to requests, pulling data for one-off questions, fixing dashboards,…

As more companies invest heavily in data as they grow, the question of how to structure the data and analytics function becomes increasingly important. It is not just about reporting lines or team…

In today’s data-saturated world, analytics leaders are under constant pressure to deliver more. More dashboards. More tools. More data. And yet, despite all that output, many teams struggle to drive…

Over the past few years, data contracts have surged in popularity—touted as the missing link between data producers and consumers. Yet as with most trends in data architecture, hype often outpaces…

AI is dominating headlines, boardroom agendas, and vendor pitches. But most of the attention is focused on generative AI — tools like ChatGPT that can create text, summarize documents, or even write…

Retail analytics is one of the most dynamic and mature domains in data. It sits at the crossroads of customer behavior, real-time operations, and constant decision-making. But here’s the truth: while…

This is Part 3 in my Marketing Patterns That Work Everywhere series. In the earlier posts (Part 1 Part 2), I shared how core marketing principles—like conversion, personalization, and…

This is Part 2 of my series on universal marketing patterns that work across industries. In Part 1, I shared five core patterns—lead generation, customer journeys, next best action, conversion, and…

Every business thinks its challenges are special. And sure, industries can feel different—healthcare isn’t retail, and selling to a college isn’t the same as selling to a homeowner. But at the core,…

AI is having its moment. Everywhere you look, companies are rushing to implement large language models (LLMs), AI agents, and other cutting-edge techniques in hopes of solving their data problems.…

I was recently asked why it’s not advisable to query raw data directly. The question caught me off guard at first, but it made me think deeply. Raw data is often viewed as the foundation of…