Visualise your data landscape with AI
Simple. Intuitive. Engaging.
01 / Explainable
02 / Automated
03 / Relevant
Companies today have complex, interconnected IT applications. It can be difficult to see the big picture with so many different systems involved. The sheer scale makes it hard to start.
Many companies are taking first steps to leverage AI in their businesses. Openvue automates the generation of data maps to use for AI use-cases. These can be produced in hours rather than weeks or months.
Being able to see how your company operates, presented in an easy-to-read way, makes it much easier for CEOs and Execs to understand their company's operations, be more efficient and reduce risk.
Show me how orders are processed
AI-generated maps
Openvue helps companies map complex data landscapes using AI.
In its raw form, enterprise data has limited value. Organisational barriers often constrain the use of data for specific processes and use-cases. But when well governed and contextualised it can become a valuable strategic asset that opens door to new insights and business opportunities.
Data landscape discovery is a 'map-making' process - it provides visibility into what data exists, where it lives, how it flows, and how it should be used. Openvue is a business platform that uses AI to make sense of your structured and unstructured data across the corporate landscape.
Openvue supports businesses developing their own AI assistants and AI agents as it provides confidence that data used in AI models has been sourced from the right place and used in the right business context. It can be used to fast-track data and AI governance by ensuring the right data sources are being used.
Data Flows
Openvue provides an easy way of describing the end-to-end journey of data through data pipelines. This provides a business-friendly view of critical data entities while hiding the underlying physical complexity. Knowing where your most important data comes from and how it is used, means key business decision makers are all on the same page.
Data Standards
Knowing which policies and standards apply to data means that they can be measured against expected thresholds. Whether data quality rules or compliance checks, being able to see where the controls are, and whether data is meeting the minimum requirements, will indicate if action needs to be taken, and how urgent this is to resolve.
Data Quality
Fixing data issues may involve many different teams. This depends on whether the root cause is to do with business processes problems, IT system issues or data quality remediation. Openvue's collaborative platform ensures both business users and technical teams are aligned, with full transparency of improvement activities needed.