1. Augmented Analytics: Incorporating machine learning algorithms to automate data processing and provide insights without requiring human intervention.

2. Data Democratization: Ensuring that all team members have access to data so they can make informed decisions.

3. Natural Language Processing: Integrating chatbots that can understand human language and analyse data, improving communication and data usage.

4. Embedded Analytics: Integrating BI tools into other business applications for seamless data analysis.

5. Cloud-based BI: Providing access to data and reports from anywhere, anytime via the cloud, enabling scalability and cost benefits.

6. Predictive Analytics: Using machine learning and AI techniques to forecast future trends and inform decisions to drive growth.

7. Data Storytelling: Creating intuitive and interactive visualizations that help business users understand and act on insights from data.

8. Self-Service BI: Empowering non-technical users to access, manipulate and analyze data using user-friendly drag and drop interfaces.

9. Blockchain Analytics: Implementing blockchain technology to secure and analyze data on distributed ledgers.

10. Collaborative BI: Encouraging collaboration between teams and departments by providing a centralized data source that is shared across the organization.