How AI is changing the standard for BI: Making data accessible - Juliette Duizabo - Photoroom

Juliette Duizabo, Head of Data @Photoroom - Data leader who joined Photoroom 6 months ago and transformed the company's data accessibility strategy by implementing AI-powered business intelligence solutions.

Photoroom, a French startup founded in 2019 and downloaded over 300 million times, has revolutionized how its 100+ employees access and consume data. With only 3 people in the data team serving the entire organization, Juliette Duizabo shares how AI eliminated the traditional bottleneck of data access - reducing answer time from hours to under one minute. Through semantic layers, AI assistants integrated into Slack and mobile devices, and strict documentation principles enforcing single source of truth, Photoroom achieved 100% data accessibility while maintaining consistency across all teams. The presentation reveals concrete implementation steps, from selecting Omni as their BI tool to deploying AI-powered summaries with actionable recommendations in just 6 weeks.

🤔 What if accessing company data was as simple as asking a question to your AI assistant - from anywhere, in under 60 seconds?
🤔 How can a 3-person data team serve over 100 employees without becoming a bottleneck?
🤔 What does it take to build a semantic layer that ensures everyone in your company speaks the same data language?
🤔 Can AI transform business intelligence from reactive reporting to proactive, personalized recommendations?

Key Impact:
Under 1 minute: Time to get answers to any data question
300+ million downloads: Scale of Photoroom's AI-powered image editing platform
100% documentation coverage: Mandatory requirement in DBT - no PR merge without complete documentation
6 weeks: Time from contract signature (July 15) to full company access (September 1)

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🎬 CHAPTERS
00:00:16 Introduction - Juliette Duizabo & Photoroom Overview
00:01:09 The Data Team Challenge - 3 People for 100+ Employees
00:01:55 The Modern Data Stack at Photoroom
00:02:17 Pillar 1: Accessibility - Making Data Within Reach
00:03:02 AI Assistant Demo - Getting Answers in 20 Seconds
00:04:08 The Omni MCP - Data Accessible from Anywhere
00:05:01 Mobile Access Hack - AI Assistant in Your Pocket
00:05:46 Pillar 2: Actionability - From Numbers to Recommendations
00:06:45 How Photoroom Implements Actionability
00:08:41 Pillar 3: Alignment - One Source of Truth
00:09:28 The Semantic Layer in DBT and Omni
00:10:10 The DRY Principle and Definitions Management
00:11:38 Topics and Views in Omni
00:13:37 Color Coding - Visual Alignment Across Teams
00:15:14 Implementation Journey - How We Got There
00:16:58 Adoption Strategy - Trainings and Support
00:17:29 Consequences on Data Consumption
00:18:40 Organizational Impact - Cost Efficiency and Scale

ÉTAPE 4 - TITRES ET HASHTAGS
1. How AI Cut Our Data Access Time from Hours to Under 1 Minute | Photoroom Case Study
Hashtags: #DataAccessibility #AIforBI #SemanticLayer #DataDemocratization #ModernDataStack
2. 3-Person Data Team Serving 100+ Employees: AI-Powered BI at Scale
Hashtags: #DataTeam #BusinessIntelligence #AIAnalytics #DataStrategy #ScalableData
3. Building a Single Source of Truth: Semantic Layers & AI Assistants at Photoroom
Hashtags: #DataGovernance #SemanticLayer #DataAlignment #AIAssistant #DataOps

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Omni, Sifflet, Mirakl, Tangram-os.ai, starlake, synq, clickhouse, Nao, DataBricks,

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