Where is self-service reporting headed? GAAS anyone? #ai #podcast #aipodcast

Where is self-service reporting headed? GAAS anyone? #ai #podcast #aipodcast

One of the things I wanted to chat about was self-service reporting off the back of last episode because we're seeing the likes of, you know, Claude Sonnet, for example. You'll see people posting on LinkedIn about how you can take project data, put it into these large language models, and start asking it for charts, graphs, outputs, and analytics. Things like that. Where do you see the industry heading with self-service reporting?

So, my view is we're entering the world of GAAS. GAAS stands for Governance as a Service. In reports within large enterprises where governance dominates, you have official reports and you have ad hoc reports.

Keywords

• Self-Service Reporting
• Large Language Models
• GAAS (Governance as a Service)
• Project Data
• Charts and Graphs
• Analytics
• Enterprise Governance
• Official Reports
• Ad Hoc Reports

FAQ

1. What is self-service reporting?

   • Self-service reporting allows users to generate their own reports and analytics from data without needing extensive technical knowledge or assistance from IT professionals.

2. What are large language models and how are they used in self-service reporting?

   • Large language models are AI systems trained on vast amounts of data to understand and generate human-like text. In self-service reporting, these models can analyze project data to generate charts, graphs, outputs, and analytics.

3. What does GAAS stand for and why is it significant?

   • GAAS stands for Governance as a Service. It signifies the integration of governance policies and practices into the self-service reporting process, ensuring that all reports meet regulatory and compliance requirements.

4. What is the difference between official and ad hoc reports?

   • Official reports are structured, formal reports that adhere to strict governance and compliance standards. Ad hoc reports are generated on an as-needed basis, often by end-users, and may not always follow the same stringent guidelines.

5. How is the industry evolving with regards to self-service reporting?

   • The industry is increasingly leveraging advanced technologies like large language models to enable more dynamic and user-driven reporting. This shift is supported by frameworks like GAAS to maintain governance and compliance.

By embracing these advancements, organizations can empower their users to make data-driven decisions more efficiently while ensuring that all reporting aligns with enterprise standards.