The solution
Point Sigma's Data Curious AI-driven platform proved instrumental in addressing these challenges. Unlike traditional tools, Point Sigma's platform utilises AI for automatic data preparation, structuring and understanding, allowing non-technical users to explore insights within minutes of data upload. This significantly reduced the dependency on technical teams, reducing the time to insight from three months to three days. The platform enabled users to browse auto-discovered insights by source, type and relevance, providing a broad view or zooming in on specific aspects of the data. Users could explore related patterns for different perspectives on the data, facilitating unanticipated insights.
The Augmented Insights Management (AIM) platform allowed non technical staff to access visualised data from the beginning of the project without having to wait months for the data to be manually wrangled into shape. In addition to auto-discovered patterns, users had the flexibility to create bespoke graphs, accelerating the process of reaching conclusions and informing other parts of the organisation for prompt action.
The impact
- Deploying an AI-driven platform to wrangle the raw data from disparate systems reduces time to value by 95%. Results in three days, not three months.
- Once Point Sigma's AI-driven analytics platform has wrangled the data, and its Augmented Insights Management (AIM) environment enables quick and easy data exploration for non-technical users.
- Point Sigma's transparent use of AI to understand, structure and extract insights from data fitted well with the department's own AI strategy and was received positively by its AI oversight board.
- Insights discovered by users and suggested by the platform ranged from data quality issues, known and unknown correlations, and the main themes for the department's focus areas.