In the rapidly evolving world of data and analytics, Gartner’s recent research titled “Over 100 Data and Analytics Predictions Through 2028” offers a comprehensive look into the future trends and shifts that businesses and leaders should anticipate. Authored by Sarah James and Alan D. Duncan and published on 24 April 2023, this document provides a wealth of insights. Here’s a brief overview:
Key Highlights:
- Strategic Vision and Delivery Programs: Gartner emphasizes the significance of data and analytics across various business initiatives. The predictions serve as a roadmap for data and analytics leaders to refine their strategies.
- The Role of CDAOs: Chief Data and Analytics Officers (CDAOs) are at the forefront of driving measurable outcomes. By 2025, CDAOs will leverage data fabric to address data management complexities. Moreover, by 2026, a significant portion of Fortune 500 CDAOs will oversee top-earning products rooted in data and analytics.
- Analytics, BI, and Data Science: The convergence of Analytics, Business Intelligence (BI), and Data Science is evident. By 2026, organizations will evaluate these platforms as a unified, composable entity due to market convergence.
- Artificial Intelligence (AI): AI continues to be a game-changer. By 2027, data science organizations will leverage simulation platforms to manage AI systems’ complexity, reducing AI technical debt by 70%.
- Data Management and Infrastructure: The emergence of data ecosystems built on active metadata and data fabrics is highlighted. By 2026, 30% of organizations will adopt active metadata practices to accelerate automation and insight discovery.
- Cloud Computing: By 2026, 75% of organizations will base their digital transformation model on cloud platforms.
- Data Security and Privacy: The cybersecurity landscape is evolving. By 2025, AI-enabled fraud will reshape the enterprise attack surface, necessitating a shift in trust and security education.
- Enterprise Architecture: By 2027, 50% of large organizations will leverage business architecture to navigate volatility, uncertainty, complexity, and ambiguity.
- Software Engineering: Innovations in software engineering are on the horizon. By 2027, generative design AI tools will automate 70% of the design effort for new web applications.
Conclusion:
Gartner’s predictions underscore the transformative power of data, analytics, and technology. As businesses navigate the digital landscape, these insights serve as a beacon, guiding strategic decisions and future-proofing operations.
For a deeper dive into these predictions and to understand the nuances of each trend, we highly recommend downloading the full document from Gartner.
Stay ahead of the curve and harness the power of data and analytics to drive your business forward!
Gartner’s Data and Analytics Predictions Through 2028: A Glimpse into the Future
In the rapidly evolving world of data and analytics, Gartner’s recent research titled “Over 100 Data and Analytics Predictions Through 2028” offers a comprehensive look into the future trends and shifts that businesses and leaders should anticipate. Authored by Sarah James and Alan D. Duncan and published on 24 April 2023, this document provides a wealth of insights. Here’s a brief overview:
Key Highlights:
- Strategic Vision and Delivery Programs: Gartner emphasizes the significance of data and analytics across various business initiatives. The predictions serve as a roadmap for data and analytics leaders to refine their strategies.
- The Role of CDAOs: Chief Data and Analytics Officers (CDAOs) are at the forefront of driving measurable outcomes. By 2025, CDAOs will leverage data fabric to address data management complexities. Moreover, by 2026, a significant portion of Fortune 500 CDAOs will oversee top-earning products rooted in data and analytics.
- Analytics, BI, and Data Science: The convergence of Analytics, Business Intelligence (BI), and Data Science is evident. By 2026, organizations will evaluate these platforms as a unified, composable entity due to market convergence.
- Artificial Intelligence (AI): AI continues to be a game-changer. By 2027, data science organizations will leverage simulation platforms to manage AI systems’ complexity, reducing AI technical debt by 70%.
- Data Management and Infrastructure: The emergence of data ecosystems built on active metadata and data fabrics is highlighted. By 2026, 30% of organizations will adopt active metadata practices to accelerate automation and insight discovery.
- Cloud Computing: By 2026, 75% of organizations will base their digital transformation model on cloud platforms.
- Data Security and Privacy: The cybersecurity landscape is evolving. By 2025, AI-enabled fraud will reshape the enterprise attack surface, necessitating a shift in trust and security education.
- Enterprise Architecture: By 2027, 50% of large organizations will leverage business architecture to navigate volatility, uncertainty, complexity, and ambiguity.
- Software Engineering: Innovations in software engineering are on the horizon. By 2027, generative design AI tools will automate 70% of the design effort for new web applications.
Conclusion:
Gartner’s predictions underscore the transformative power of data, analytics, and technology. As businesses navigate the digital landscape, these insights serve as a beacon, guiding strategic decisions and future-proofing operations.
For a deeper dive into these predictions and to understand the nuances of each trend, we highly recommend downloading the full document from Gartner.
Stay ahead of the curve and harness the power of data and analytics to drive your business forward!
