The document discusses key trends in business intelligence for 2024, highlighting the importance of augmented analytics, AI-driven insights, and predictive analytics for decision-making. It emphasizes the necessity for collaborative BI, improved data governance and security, as well as the rise of self-service BI tools. Additionally, it touches on continuous intelligence, edge computing, and the concept of data in motion to enhance data management and analysis capabilities.

1. Business
Intelligence
2024 Trends
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2. Augmented
Analytics
01
AI/ML automates insights, enables human like interactions
and personalized recommendations, and uncovers
hidden patterns.

3. AI-based
Business
Analytics
The growing demand for real-time data analysis software
drives the need for adaptive AI systems that support a
decision-making framework and proactive risk
prevention.
02

4. Predictive and
Prescriptive
Analytics
Organizations leverage predictive and prescriptive
analytics to foresee trends, mitigate risks, and optimize
decisions with data.
03

5. Collaborative BI
It helps in fostering collaborations and leveraging
collective intelligence. Up to 60% of respondents say that
it is now crucial for organizations.
04

6. Data Governance
and Data Security
SaaS BI solutions are secure now through cybersecurity
mesh architecture that is composable, has scalable
security control, and protects assets on the cloud, IoT, and
others.
05

7. Self-service BI
Self-service BI tools will enable users to create and
customize their reports, dashboards, and visualizations
without requiring technical assistance or coding.
06

8. Continuous
Intelligence
The next trend is CI tools, which offer automated, real-
time data ingestions, unify data collection, management,
and analysis, and use in-memory technology to store and
manage historical information.
07

9. Edge
Computing
Processing data near the source of data generation
rather than in centralized servers or clouds, thus reducing
latency, bandwidth, and cost of data transmission.
08

10. Data in Motion
Transferring data from one location to another is
simplified through BI tools that can capture, process, and
analyze data while it is in transit and ensure its quality,
security, and compliance.
09

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