Summary
Recent insights from Davos 2026 highlight that leaders need to adapt to the accelerating digitalization and smart technologies.
Trends in Technology and Digitalization
During the annual World Economic Forum, crucial signals are raised about the impact of technology on our lives. This year, developments around 'smart' devices are at the forefront, with companies increasingly investing in smart technologies, from home appliances to industrial machines. Leaders must invest now in artificial intelligence and data-driven strategies to remain competitive.
Relevance for BI Professionals
For BI professionals, this indicates an important shift in analytical methods and data collection. The rise of smart technologies requires a reevaluation of how data is processed and analyzed. Competitors who innovate faster with technologies like IoT and AI are raising the bar, putting pressure on companies to adapt quickly. These trends indicate an increasing reliance on real-time data analysis and agility in decision-making processes.
Key Takeaways for BI Professionals
A key takeaway is that BI professionals need to take a proactive stance by prioritizing investments in advanced analytical tools and training. This is the moment to develop skills in artificial intelligence and machine learning to derive relevant insights from the massive amounts of data generated by smart devices.
Deepen your knowledge
BI Implementation Roadmap — From Vision to Working Dashboard
Practical BI implementation roadmap: from strategy and data inventory to dashboards and adoption. Avoid common pitfalls ...
Knowledge BaseData-Driven Work — How to get started as an organization
Learn how to become a data-driven organization. From data maturity to culture change: a practical step-by-step guide wit...
Knowledge BaseData Engineer vs Data Analyst: what's the difference?
Discover the difference between a Data Engineer and Data Analyst: tasks, tools, salary and career paths. Which role suit...
Knowledge BaseData Governance for SMBs — A practical approach
What is data governance and how do you approach it as an SMB? A practical guide covering GDPR compliance, data quality, ...
Knowledge BaseData Lakehouse Explained — The best of both worlds
What is a data lakehouse and why does it combine the best of data warehouses and data lakes? Architecture, comparison, a...
Knowledge BaseETL Explained — Extract, Transform, Load in plain language
What is ETL? Learn how Extract, Transform, and Load works, the difference with ELT, and which tools to use. Clearly expl...
Knowledge BaseWhat is Business Intelligence? Definition, examples and tools
What is business intelligence (BI)? Learn about the definition, BI stack, real-world examples, popular tools, and 2026 t...