Group Mike - Intuitive Business Data

Why It Matters

It empowers organizations to reclaim billions in wasted cloud spend, turning cost visibility into actionable controls without requiring programming skills.

Key Takeaways

• Over 30% of cloud spend is wasted annually
• Unused resources cost $44 billion each year globally total
• Integrated AI assistant provides real‑time expense insights for cloud
• Visual programming lets non‑engineers create cost‑control policies easily
• Policies run every 15 minutes, auto‑generating tickets on spikes

Summary

The video introduces Group Mike’s Intuitive Business Data platform, aimed at curbing massive cloud‑cost waste by giving organizations a single pane of glass to monitor and control spending.

It cites that more than 30 % of cloud spend—about $44 billion annually—is idle, with up to 40 % of compute capacity unused and roughly 70 % of engineers unaware of their code’s cost. The solution combines an AI‑driven assistant, real‑time dashboards, and a custom visual programming language to surface actionable insights without deep technical expertise.

A walkthrough shows users building a policy for AWS Lambda: comparing daily cost to twice the month‑average, multiplying by a constant, and automatically generating a ticket when the threshold is breached. The policy, named “AWS Lambda usage spike,” is saved and runs every 15 minutes, illustrating the platform’s low‑code automation.

By democratizing cloud‑cost governance, the tool promises significant savings, tighter budget compliance, and faster response to overspend events, making it valuable for both finance teams and engineering squads.

Original Description

Client - Ben Schofield, Calero

Ben Tinsley, Gabriel Najmias Lang, Luca Harrison, Parth Bhardwaj, Preesha Dige, Rohan Wadhawan

Visual programming languages like the educational product Scratch could be more accessible for nontechnical business users, but most genAI coding assistants output Python or Javascript that is hard for non-programmers to read and adjust. Your task is to create a novel programming tool for business data processing, where the first draft of the solution is generated from a natural language text prompt, but users can refine their solution just by selecting and dragging graphical data processing elements rather than endless chatbot interaction.