Including its impact on the analyst's role
Register now ↓Even the best data pros make mistakes with AI analytics. Learn how to spot them, fix them, and get answers your business can trust - hands-on, on real data.
A free, hands-on 45-minute session · Led by Yuval Erez, Head of Analytics at ClarityQ
The most common AI analytics mistakes D2C teams make, and how to catch them before reaching a decision
Why the same question gets two different numbers, and how to get one answer everyone trusts
Why AI gets your business logic wrong, like counting returns as revenue, and how to teach it your definitions once
Keep AI answers accurate as your data changes, without a full-time maintenance job
What drives AI analytics costs up, and how to cut token usage without losing answer quality
Live examples on real D2C data - orders, returns, margins and repeat customers - you can apply to your own data right away!
Examples
Wrong answers that look right
The AI sounds sure even when it is wrong. The wrong number reaches a board deck before anyone checks, and the same mistake comes back next week.
Answers that quietly break
Every new table, renamed column and changed definition quietly breaks answers. Keeping the context current takes constant work, and one fix can break another.
A different answer each time
Ask the same question twice, or let two people ask it, and you get two numbers. After that, the business stops trusting every answer, even the right ones.
Your presenter
Head of Analytics, ClarityQ
Head of Analytics at ClarityQ, building agentic data analysis shaped by years of product analytics at monday.com and risk analytics at BlueVine.
Who it's for
D2C and e-commerce brands in:
Roles
Join us on 18 November and see what it takes.
Save my seat ›Book a free 15-minute 1:1 to talk through your team's AI analytics challenges.
About ClarityQ
ClarityQ is an end-to-end agentic data analytics platform that lets business and data teams ask data questions in plain language and get accurate answers, AI-native dashboards, automated reports and proactive insights in minutes. It makes analysts up to 6X more efficient and keeps business users close to the data, so they can make decisions with the full picture and without delays. Our core advantage is an automatically built and maintained Context Layer that captures each company’s business definitions and logic, so answers stay reliable on complex, real-world data over time - and teams are live in days, not weeks.
Learn more at clarityq.ai →
