Is AI going to make human jobs disappear? History tells a different story
AI won’t make people jobless. It will change how we work and create new kinds of jobs. See what history teaches us about how technology reshapes work.
AI won’t make people jobless. It will change how we work and create new kinds of jobs. See what history teaches us about how technology reshapes work.
Learn how to add a blur effect to your Power BI reports using a simple HTML trick. Guide your users’ attention, create interactive overlays, and make your reports easier to navigate with this practical step-by-step tutorial.
Learn the difference between VBA and Office Scripts in Excel. Discover which one fits best when your files live in OneDrive or SharePoint and how to make the move to cloud automation.
Speed up your month-end close with Power BI. Discover how finance teams can replace Excel chaos with one single source of truth, improve data quality, and close faster with confidence.
Most businesses overcomplicate automation by chasing AI hype. Learn how small, practical steps, from dataflows to AI agents, deliver the biggest impact.
Should you use Power Bi or Excel for Data Analysis? Find the answer to wich tool is best depending on your use case.
What's the difference between Power Bi and Microsoft Fabric? Power Bi is best for data vizualisation and reporting. Fabric offers end-to-end data management.
A centralized data repository is the foundation to become a true data-driven organization. by bringing data from various sources together and building a robust data model you have the prerequisites in pace to take smarter decisions and improve operational efficiency.
We help businesses like yours turn complex data into clarity—empowering smarter decisions, saving time, and boosting performance across your organization.
Discover how Microsoft Copilot in Power BI leverages generative AI to simplify report creation, enhance data insights, and empower teams. Learn how to implement it successfully with expert tips from Data Panda, including building a strong data model, centralized data repositories, and effective change management.