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Low-code exploration in the Count canvas
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Count Demo
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Otrium: Analysis in 2D
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Otrium: Importing and exploring dbt models in the Count canvas.
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Majority: Exploring LookML models in the canvas.
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Majority: Metric Trees in the canvas
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Majority: Exploring multiple data sources in the Count canvas.
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Cleo: Exploring an onboarding funnel in Count.
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Cleo: Walking through a collaborative ad-hoc request in the Count canvas.
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Cleo: Walking through a metric tree in Count.
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Adaptavist: Quickly comparing different analytical approaches in the canvas.
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Adaptavist: Going from analysis to presentation with a few clicks.
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Adaptavist: Exploding cells
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How a unified metric catalog changed everything for Intruder's marketing team
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How Intruder runs leadership sessions around the OKR canvas
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Too Good To Go: How to quickly share a canvas.
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Too Good To Go: Merging data from BigQuery, Snowflake, PostgreSQL and a CSV file in the Count canvas.
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Setting up your workspace
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Collaborating in Count
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Managing and Scaling Your Workspace
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From Ad Hoc Analysis to Polished Reports
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Getting Started in Count - Viewers & Explorers
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Exploring Catalog Data
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Version Control & Branches
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Customizing Datasets
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Customizing Views
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Building a Catalog
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Welcome to Count Metrics
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dbt Core Tutorial 3 - Committing Changes
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dbt Core Tutorial 2 - Adding Models
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dbt Core Tutorial 1 - Getting Connected
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dbt Core overview
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Planning and Creating a Metric Map
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Adding interactivity with Control Cells
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Advanced Visualizations
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Getting Started with Visuals
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Creating a Metric Map
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The Tenets of a High-impact Data Team
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Count Metrics: Exploring data in the Catalog
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Count Metrics: Manage User Access
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Count Metrics: Building a Catalog
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14. Count Metrics: Getting Started in Count
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Introduction to Count Metrics
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12. Frames & Reports: Getting Started in Count
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13. Alerts: Getting Started in Count
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15. Support and next steps: Getting Started in Count
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7. Cell reactivity and Count's local db: Getting Started in Count
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8. More on cells: Control and Python: Getting Started in Count
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11. Whiteboard Tools: Getting Started in Count
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10. Templates: Getting Started in Count
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9. Overviews: Getting Started in Count
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4. Adding data to the canvas: Getting Started in Count
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workspace-search_2
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3. The canvas UI: Getting Started in Count
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6. Visual cells: Getting started in Count
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5. SQL cells: Getting Started in Count
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Performance Optimization - using Count's local DuckDB database
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1. Introduction: Getting Started in Count
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Getting Started in Count - a tutorial
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Canvas Overview: Feature Usage
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2. The Count Workspace: Getting Started in Count
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Crafting Visually Engaging data
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Introduction to the Count Workspace - a tutorial
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Performance Optimization: Manual Cell Execution
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Performance Optimization: Master Your Caching
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Performance Optimization - a tutorial
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005_ Decisions Over Dashboards_ How Deezer Turns Analysts into Problem Solvers w_ Thibaud Arbes Dupuy.mp4_006
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005_ Decisions Over Dashboards_ How Deezer Turns Analysts into Problem Solvers w_ Thibaud Arbes Dupuy.mp4
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005_ Decisions Over Dashboards_ How Deezer Turns Analysts into Problem Solvers w_ Thibaud Arbes Dupuy.mp4_004
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005_ Decisions Over Dashboards_ How Deezer Turns Analysts into Problem Solvers w_ Thibaud Arbes Dupuy.mp4_005
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005_ Decisions Over Dashboards_ How Deezer Turns Analysts into Problem Solvers w_ Thibaud Arbes Dupuy.mp4_001
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005_ Decisions Over Dashboards_ How Deezer Turns Analysts into Problem Solvers w_ Thibaud Arbes Dupuy.mp4_003
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MtN 005 - Decisions Over Dashboards - Highlights
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The Shift You Need to Make to Stop Being a Dashboard Factory
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005_ Decisions Over Dashboards_ How Deezer Turns Analysts into Problem Solvers w_ Thibaud Arbes Dupuy.mp4_002
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Hiring & Training A+ Data Analysts
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Semantic Layers - The Foundation for AI-Powered Analytics
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How to Become Your Org's Go-To Problem Solvers
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Why You Shouldn't Underestimate the Power of Clarity
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Development vs Production - Where AI Truly Empowers Data Teams
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The Gold Rush Problem & AI Tool Implementation Pitfalls
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AI's Real Value in Data Access and Decision Speed
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AI in Root Cause Analysis to go Beyond Simple Answers
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Exploration Speed as the Great Multiplier
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David Jayatillake - What I wish I knew from the start
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Data Career Growth in Tech Companies
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Problem Solving in Product Analytics
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Knowledge Sharing in Centralized vs. Embedded Teams
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Autonomous Analytics as Strategic Partners
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Data Team Structure at Cleo
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Webinar Highlights: Using Data to Drive Impact
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Webinar Highlights: MoonPay's Metrics Tree Deep Dive
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How MoonPay solved these two revenue problems with a metric tree
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The moment of clarity
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What does success look like for Metric Trees?
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The unique challenges and opportunities of data in crypto
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The early reality of working in a fast moving, data rich company
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Using metric trees for prediction
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The business case for a metric tree
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Moonpay and the modern data stack
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So what next?
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Structuring our metric trees for wider consumption
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The changing roles of data teams
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How metric trees drive business improvement
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How we built our metric tree
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Making metric trees for the company, but also operational
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How to know you need a metric tree
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Metric trees in business improvement
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Being an analyst in an unclear organization
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A tour of Moonpay's metric tree
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Building metric trees collaboratively
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A deeper example of impact
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Drilling down from whole organization metric trees2
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The Power of Metric Trees - Understanding Your Growth Model
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The Power of Metric Trees - Faster Problem Solving with Metric Trees
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The Power of Metric Trees - Understanding How Metrics Interact to Drive Growth
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The Power of Metric Trees - Bringing Clarity to the Rest of the Business
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The Power of Metric Trees - Getting Metric Tree Buy-in
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The Power of Metric Trees - Building a Metric Tree Framework better
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The Power of Metric Trees - What Are Your Biggest Growth Levers?
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The Power of Metric Trees - Surfacing the KPIs That Matter Most
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The Power of Metric Trees - How to Understand the Growth Mechanics of Your Company
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The Power of Metric Trees - What is Driving Your North Star Metric, and Why?
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The Power of Metric Trees - The Level of Clarity
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Why An Embedded Data Team Setup Means Voi's Analysts Are More Productive
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012: Embedded, Centralized or Hybrid: Structuring Your Data Team to Be Incredibly Effective w/ Lydia Monnington
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011: The Power of Metric Trees: How Omaze Mapped its Way to Business Clarity w/ Callum Ballard
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Data Visualization Insights
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010: Insights with Impact: How Podimo's Analytics Team Solve Big Business Problems w/ Jimmy Mogrip
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007: Metrics Not Dashboards: How Voi Mastered Self-Serve Analytics w/ Magnus Dahlbäck
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008: What Most Data Leaders Get Wrong: Lessons From a Top Data Coach w/ Tristan Burns
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009: Break Free of the Service Trap: The 4 Keys to Being a Valuable, Effective Data Team
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006: Know Your ROI: A Proven Process to Measure the Impact of Your Data Team w/ Lina Mikolajczyk
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004: What Data Teams Can Learn from Finance: Monzo’s Secrets to Data Accuracy w/ Phillip van Blerk
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001: AI Isn't Enough: Why Governance Still Matters w/ David Jayatillake
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005: Decisions Over Dashboards: How Deezer Turns Analysts into Problem Solvers w/ Thibaud Arbes Dupuy
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002: Data as a Growth Engine: Inside Cleo's Winning Playbook w/ Conor O'Kane
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003: She Trained 20,000 Data Analysts: Here's What They Got Wrong w/ Mico Yuk
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The importance of creativity in data
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Using the ikigai to find your data purpose
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How to get stakeholders to collaborate on your data projects
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Humanizing Data Strategy: The Real Reason Data Projects Succeed or Fail w/ Tiankai Feng
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Understanding human failures in data
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The 5 Cs of a Human Data Strategy: Competence, Collaboration, Communication, Creativity, and Conscience
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Why there's no one-size-fits-all approach to data strategy
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Why you need to "follow the pain" to be effective with data
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Trees vs. Maps - Different Ways to Visualize Your Key Metrics
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Webinar Highlights: Build a Clarity Defining Metric Tree
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Why You (Might) Not Want to Start with a Revenue Metric Tree
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The Big Problem - Too Many Dashboards
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Why You Should Set Alerts to Monitor Changes & Fluctuations in Your Tree Data
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Q&A - How Do I Use Metric Tree Dimensions & Filters in the Most Impactful Way?
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Q&A - How Do You Know When Your Metric Tree is Getting Too Granular?
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Metric Tree Design - Deconstructing Your North Star Metric into its Key Components
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Q&A - How Do You Use the Overview Panel?
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Q&A - How Do I Wean Leadership Off Traditional Reports & Sell Them on Metric Trees?
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Driving & Monitoring Impact with Your Metric Tree
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Digging Deeper into Problems with an Exploration Panel
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How to Think About Adding Dimensions to Your Metric Tree
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It’s Not All About Revenue Trees - 5 Other Metric Map Ideas
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How to Double Check Your Metric Tree Data For Accuracy
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Cards, Colors, Overviews & Filters - How to Build Your Metric Tree in a Count Canvas
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Data Sourcing For Metric Trees - Database or Semantic Layer?
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Bringing Real, Accurate Data into Your Tree
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[25.06.25] Live Build Session: How to Create a Clarity Defining Metric Tree From Scratch
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6 Stages of Planning a Metric Tree
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This is What we Call the Service Trap for Data Teams
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[28.05.25] Data as a Growth Driver: How to Identify & Solve Your Biggest Business Problems
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Webinar - Breaking Free of Service Trap - Short 16_9 - Connecting to Business Outcomes
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Webinar - Beyond Metric Trees - 16_9 Short - The 4 Service Traps Summary
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Webinar - Breaking Free of Service Trap - Short - Leader Mindset
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9_16 Short - More Clarity = Better Problem Solving
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Data Clarity Webinar - Short 9_16 - Michael - 4 Buckets of AI Uses for Data Teams
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Data Clarity Webinar - Short 9_16 - Jess - Human Skills Over Technical Skills
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9_16 Short - What is Operational Clarity
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BI Should Stand for Business Improvement
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Future of Skillsets
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Game-Changing Tools Revealed
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Data Clarity Webinar - Short 9_16 - Jess - Clarity & Alignment Problems
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Data Clarity Webinar - Short 9_16 - Jess - AI Epiphany
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Evolving Problem Solving
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AI: Your New Buddy
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Data Science Impact
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Bridging Team Gaps
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AI Tools Under Scrutiny
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Data Literacy Dilemma
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AI Revolutionizes Development
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AI Solving Real Problems
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AI: Excitement and Fear
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Unlocking New Potential
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Clarity Over AI Hype
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AI Integration Excitement
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[09.04.25] Why Clarity is More Important than AI in your Data Stack
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[20.11.24] From Service to Strategy: Transforming Your Data Team's Impact
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[20.03.25] Intro to Count Metrics: How to Use a Semantic Layer to Drive Incredible Business Value
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[11.12.24] Breaking Free of the Service Trap with Count
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[11.07.24] Part 2: Metric Trees - Building a tree live
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[15.05.24] A place to think together - Count at Otrium
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[09.05.24] Analysts with impact - Count at Loqbox
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[27.06.24] Launching Count AI
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[16.07.24] Part 3: Metric Trees - Advice and best practice
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[09.07.24] Part 1: Metric Trees - An Introduction
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[09.10.24] Getting Started Building Metric Trees with Count
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[15.07.24] The importance of collaboration in analytics engineering - Count at Accenture
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[18.07.24] Part 4: Beyond Metric Trees - Driving Operational Clarity
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[23.09.24] Data Strategy - A Journey
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Showing 225 of 225 videos
Video Library
Watch our collection of data analytics and business intelligence videos