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VISEON: VIDEOS

DISCOVER | DISCUSS | TRANSACT

Short videos on each VISEON solution. Each one links to the solution it covers, and comes with its transcript.

VISEON introduction, with Katelin

VISEON for Web · 1 min 37 s. Katelin from Differentia Consulting shows how VISEON brings the structured data across your website into one knowledge graph, finds the errors and entity gaps, and helps AI discover, discuss and transact with your organisation. More on VISEON for Web

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People aren’t browsing the web anymore. They’re asking AI for information and, more importantly, for recommendations. And this change is happening fast. Currently, roughly half of consumers are using AI to help them make their purchasing decisions. So when your potential customers are asking AI where to spend their money, is AI talking about you or your competition? If your website’s structured data is incomplete or riddled with errors, AI is less likely to mention you, because it doesn’t understand you clearly, and more likely to mention you inaccurately. This is where VISEON comes in. We take all of the structured data throughout your website and consolidate it into a single place, so you can see any errors that might exist. We also give you a data catalogue that shows you all of the entities you’ve described, so you can identify and fill any gaps. VISEON also visualises your structured data in an interactive graph, so you can spot any missing or inaccurate relationships. Getting started is easy. First, head to our website and fill out a free AI discoverability assessment to see if AI can understand you. After that, book in 30 minutes with us to chat about your results. Finally, we’ll help you make changes to your structured data and give you full access to the solution itself. Scan the QR code, head to viseon.io or email us directly to get started. We look forward to hearing from you.

The free assessment mentioned in the video is now the Semantic Entity Assessment, with results in minutes.

VISEON Data Assurance in one minute

VISEON Data Assurance · 1 min 2 s, music only. Every row scored where it lives, one honest score, and an alert when it breaks. More on VISEON Data Assurance

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  1. 4,812 bad records: missing, invalid, duplicated and stale.
  2. Revenue this quarter, £2.4M. The dashboard looks fine. Actually, £1.9M. The number isn’t.
  3. Who checks the data before anyone trusts it?
  4. VISEON Data Assurance. Quality, compliance and governance. At source.
  5. 17 sources, including Snowflake, Databricks, BigQuery, Redshift, SQL Server, MySQL, Excel, SharePoint and cloud storage. Plugged in where your data already lives.
  6. 4,000,000 rows checked in your warehouse. Every row. Not a sample. Checks run as SQL inside your warehouse. The data never leaves.
  7. Nine dimensions. One honest score: 97.16, quality gate failed, 127 blocker records.
  8. Incident opened on orders: quality gate failed, alerts to Slack, Teams and email. It tells you when it breaks. Resolved. And when it’s fixed.
  9. Card numbers in clear text, masked as 4111 •••• •••• 1111. Found. Never stored. ISO/IEC 29100, GDPR, PCI DSS.
  10. AI suggests the rules you missed: order_id follows O######, currency is a 3-letter code, total_amount stays under 5,000. It reads the shape of your data. Never the values.
  11. “What’s failing right now?” “2 blockers. orders has 127 records with no customer, and payments stores card numbers in clear text.” Ask in plain English. Claude, ChatGPT, any MCP client.
  12. Behind a firewall? It runs there. Outbound only. Nothing comes in.
  13. Every dataset. One view: 10 datasets, 70% healthy, 2 gate failures, 101 runs in 30 days.
  14. Down to the record that broke it: orders on Amazon Redshift, 97.16, with each failed record, such as 0000047, customer_id empty.
  15. Trust the numbers.
  16. VISEON Data Assurance. viseon.io/viseon-data-assurance