Your Full-Stack Data Analytics and AI Team
GrowthBI is Melbourne based Data Analytics and AI Consultancy
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— FOUNDER'S MANIFESTO
Harshvardhan Jaipuriar
Founder and Principal Consultant, GrowthBI
After leading analytics teams in Australia and US at Atlassian, VMware, Dell, SEEK, REA and Airwallex, I founded GrowthBI in 2021. Over the last five years, my team and I have worked with 30+ mid-market businesses, companies between $20M and $500M in revenue, across Australia and the US.
The problems are almost always the same three.
01
The one or two person Data Analyst is not able to deliver Data Analytics or AI projects.
Their one or two-person data team can't deliver Analytics or AI projects at the pace the business needs.
It's not their fault. Building a proper data foundation requires four distinct skills: a data engineer to build the pipelines, a data modeller to design the structure, a data analyst to surface the insight, and an AI engineer to build on top. Mid-market businesses can't justify four full-time hires.
So one person carries all of it. Projects stall. Requests pile up. The analyst spends most of their time pulling manual reports instead of building anything that lasts. And the AI project leadership is excited about? It never gets off the ground.
02
Their digital transformation journey is incomplete.
Their digital transformation is only halfway done.
Most mid-market businesses already have the cloud systems producing the data: HubSpot and Salesforce for CRM, Stripe, Xero and SAP for finance and ERP, plus the operational software running payroll, HR, productivity and everything else.
The data is all there. But it's never been connected. Most businesses are one good data foundation away from knowing exactly where revenue leaks, which customers are about to churn, and where the operation breaks down. That's significant growth hiding in plain sight, or efficiency gains worth millions of dollars in wasted time and cost.
03
Their Data Infrastructure is holding them back.
They don't trust their numbers. Reporting is highly manual and error-prone. And it all points to the same root cause: a poor data foundation.
Dashboards are just the tip of the iceberg. You're only seeing 10% of what's there. The other 90% is what sits underneath: the pipelines, the data models, the business context baked into the structure. That foundation is almost always skipped. And without it, you can't build reliable reporting, let alone anything AI-powered.
Most of these businesses don't have their data feeding into a data warehouse, no semantic layer combining it all, and no BI or AI system to surface the insights. They're sitting on the raw material for a competitive advantage and getting almost nothing from it.
Meet the Team
— FOUNDER
Harshvardhan Jaipuriar
Founder and Principal Consultant, GrowthBI
Before I started GrowthBI, I spent 15 years inside the data teams at Australia's top tech companies Atlassian, REA Group, SEEK, and Airwallex. I've seen what good data infrastructure looks like. And I've seen what happens when it breaks.
I founded GrowthBI five years ago. Since then we've worked with 30+ Australian mid-market businesses across finance, sales, and operations, delivering end-to-end analytics projects that have contributed millions of dollars in revenue growth and cost savings.
— CO-FOUNDER
Sonali Jaipuriar
Co-Founder and Head of Delivery
Sonali brings 10+ years of experience in data analytics and infrastructure, built across financial services and enterprise analytics at Moody's and L&T. She co-founded GrowthBI and oversees delivery across every client engagement.
Her background is in making analytics work in complex, high-stakes environments the kind where the numbers have to be right. That's the standard she holds every GrowthBI project to.
— SENIOR CONSULTANT
Akarsh Tyagi
Senior Data Analytics Consultant
Akarsh is GrowthBI's data engineering and Power BI specialist with 5+ years of experience across finance, sales, healthcare, CPG, and marketing.
He architects automated ETL pipelines, builds scalable data models, and delivers advanced Power BI solutions - dynamic DAX, drill-throughs, row-level security across the full stack. His technical toolkit spans SQL, Python, DBT, and cloud platforms including Azure and AWS.
International Institute of Information Technology
— CONSULTANT
Shreya Lodhi
Data Consultant
Shreya turns complex data into insight that business teams can actually act on. She holds a Master of Business Analytics from Deakin University, Melbourne and brings a combination of technical depth and commercial thinking that's rare at her experience level.
Her background spans Zomato, nonprofits, and consulting across foodtech, energy, and sports. She picks up new industries quickly and gets to useful output fast.
Deakin University, Master of Business Analytics
Melbourne, Australia
Beyond the
Core Team
GrowthBI maintains an active network of 30+ specialist Data engineers, Power BI developers, Cloud architects and AI engineering contractors. When your problem requires depth in a specific domain Databricks, Azure Fabric, dbt, or industry-specific data modelling we bring in the right person. You get a boutique team with enterprise-grade depth.