Here are a few data and analytics trends that were identified by Gartner in recent years:
- Augmented Analytics: Gartner predicts that by combining machine learning and artificial intelligence techniques, augmented analytics will transform how data is prepared, analyzed, and presented. It will enable business users to gain insights and make data-driven decisions without requiring extensive technical expertise.
- Data Governance and Privacy: With the increasing focus on data privacy regulations and the need for organizations to maintain data quality and integrity, Gartner emphasizes the importance of robust data governance frameworks. Implementing effective data governance strategies is essential for ensuring compliance, mitigating risks, and building trust with customers.
- Data Democratization: Gartner highlights the need for making data and analytics accessible to a broader audience within organizations. By democratizing data, companies can empower employees at all levels to make data-driven decisions and drive innovation.
- Explainable AI: As artificial intelligence becomes more prevalent, there is a growing demand for transparency and understanding of AI models. Gartner suggests that organizations should focus on developing AI models that are explainable, interpretable, and compliant with ethical standards.
- Continuous Intelligence: Gartner recognizes the increasing importance of real-time analytics and insights generation. Continuous intelligence enables organizations to process and analyze data in real-time, providing actionable insights for immediate decision-making.
- Data Fabric Architecture: Gartner promotes the concept of a data fabric architecture that connects distributed data sources, enabling seamless data integration, management, and sharing. This approach helps organizations break down data silos and create a unified view of their data assets.