AI Analyst evolution from Business Analyst
In today’s rapidly evolving technological landscape, the role of the business analyst is transforming into that of the AI analyst. Particularly in managing agentic AI demands. This evolution is crucial for organisations looking to leverage AI for enhanced decision-making and operational efficiency.
AI analysts build upon the foundation of traditional business analysis by integrating advanced AI tools to automate complex tasks, derive deeper insights, and predict future trends. Importantly they are in tune with business operations and processes, and are adept at deploying AI agents. Customising machine learning models, and embedding these solutions into business processes. This role is reminiscent of Qlik Analytics’ train of thought analysis. Where intuitive data exploration leads to actionable insights, still invaluable today.
One of the primary challenges in AI adoption is bridging the gap between technical capabilities and business needs. AI analysts address this by identifying key areas where AI can add value. Designing tailored solutions-based on their know how, and ensuring seamless implementation. They play a pivotal role in demystifying AI for stakeholders, thereby fostering a culture of data-driven decision-making.
AI Analysts Embrace Agentic AI Tools
Tools like Qlik Answers, allmates.ai and cyferd.com are instrumental in empowering AI analysts. allmates.ai offers customisable AI agents, workers if you will, that provide real-time analysis and decision support, tailored to specific industry requirements. Similarly, cyferd.com enables no-code development of data-driven applications; also allowing analysts to build workflows that leverage AI for optimised, orchestrated ‘hyperautomated’ operations, triggering reverse ETL to update core business systems.
By utilising these platforms, AI analysts can navigate complex data landscapes more effectively. Drawing parallels to Qlik’s associative data exploration that makes Qlik Analytics as relevant in 2025 as ever. This synergy between human expertise and AI technology is key to driving innovation and efficiency in modern businesses.
Shift Towards Agentic AI Decision Making
The rise of the AI analyst marks a significant shift in how organisations approach data and decision-making. Embracing this role and the tools that support it is essential for staying competitive in an increasingly AI-driven world.
Differentia Consulting has been at the forefront of AI adoption within analytics application automation. A leader in agentic AI, exemplified by our WhatsApp Qlik Answers agentic AI solution demonstrated at our customer day in 2024.
