The Art of Data Storytelling Powered by Oracle Analytics
Explore data storytelling techniques using Oracle Analytics to create impactful narratives that influence decision-making and drive insights from complex information.
How to Gain the Right Visibility Across Your Teams as a Busy Manager
Discover strategies for maintaining team visibility as a manager without micromanaging. Learn to identify key insights and measure relevant data for effective leadership.
Choosing Metrics Your Teams Won't Hate
Learn to select engineering metrics that foster collaboration, capture complexity, and gain team trust for meaningful performance evaluation.
Balancing Technical Direction and Leadership Work for ICs
Discover strategies for balancing technical direction and leadership responsibilities, focusing on vision creation, data gathering, prioritization, communication, and relationship building.
Working with BigQuery and DataForm - Streamlining Data Management and Transformation
Streamline data management with BigQuery and DataForm. Learn setup, optimization, and automation for efficient, scalable data pipelines and transformations.
Decision Making: Why the Last Mile of Analytics Should Be Your First Priority
Discover why focusing on the last mile of analytics is crucial for improving decision-making and achieving better business outcomes in digital transformation initiatives.
Introduction to Databases - Foundational Concepts and Business Applications
Gain foundational knowledge of databases, their structure, and applications in solving real-world problems. Explore data types, analytics cubes, and structured data formats.
7 Steps to Creating a Visually Perfect Dashboard Every Time
Master the art of creating impactful dashboards. Learn a 7-step framework to design visually appealing, audience-focused data visualizations that effectively communicate insights and drive business decisions.
Harnessing the Power of Data Science: Product Recommender System at Comparethemarket
Explore comparethemarket.com's journey in developing a product recommender system, from inception to production, enhancing customer experience and driving business growth.
The Case for Process Mining: How Data Scientists Can Dramatically Improve Business Operations
Discover how process mining can optimize business operations, uncover inefficiencies, and enhance compliance. Learn to leverage analytics for continuous improvement and operational health monitoring.
Boost Your AI Projects with Unknown Data and Unknown Questions
Leverage data products, implement hybrid model deployment, and drive AI innovation by accessing unknown data with unknown questions for transformative advancements in your projects.
Making MMM Work for B2B Marketing
Explore B2B marketing strategies using Marketing Mix Modeling (MMM). Learn from Twilio experts about adapting MMM techniques traditionally used in B2C for B2B applications.
Turbocharge Your Machine Learning with Open Data
Explore the UK's open data landscape, its benefits, challenges, and applications to enhance machine learning projects and drive data-driven decision-making.
How to Increase Recycling Using Data Analytics
Explore data-driven strategies to boost electrical recycling through partnerships, awareness campaigns, and insights into overcoming barriers to recycling behavior.
Unleashing the Full Potential of Your Recommender System in Production
Improve recommender systems through production monitoring, data insights, and drift detection to enhance performance and drive better business outcomes.
The Application of Mobile Location Data for Vending Machine Site Selection and Revenue Optimization
Explore innovative use of mobility data to optimize vending machine placement, enhancing ROI through strategic location analysis and foot traffic insights.
Using AI Governance to Safely Scale AI with Speed
Discover strategies for implementing AI governance to scale AI safely and efficiently. Learn to balance innovation with transparency, trust, and control in AI projects and models.
Engineering and Production Techniques for Managing Feature Drift in AI Models
Explore engineering techniques for managing feature drift in large-scale AI models, drawing insights from real-world case studies and best practices.
Understanding Microsoft Fabric - Video 2
Explore Microsoft Fabric's architecture, services, and key concepts for self-service data analytics and AI, building on UI basics from the previous video.
The Future of Version Control for Tabular Models
Discover groundbreaking version control capabilities for tabular models, enabling seamless collaboration and efficient BI development workflows.
Azure Data Engineering Tools: Choosing Between Data Factory, Databricks, and Synapse Analytics
Explore Azure data engineering tools: Data Factory, Databricks, and Synapse Analytics. Learn their strengths, use cases, and how to choose the right one for your project.