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Today, some 80% of enterprise data is unstructured. Sales proposals, contracts, correspondence, etc – all scattered across multiple systems and, more often than not, named and filed in a non-systematic way, making it difficult to find it and access.

Gaining a clearer picture of business information

With intelligent taxonomy and classification, we can help make this critical information visible and accessible. By bringing this information within a logical structure (taxonomy) we can help make it easier to find. And by coding this information (classification) it can be easily stored in the right place and associated with the right taxonomy.

The results? You’ll get a better view of your critical business information and be able to access it quickly on demand.

Taxonomy and classification for npower

With multiple websites, rising call volumes and the need to meet increasing customer demands, nPower needed to access customer data quickly and easily. So, they turned to us for support.

We designed a single website based on Oracle WebCenter Content which included full content migration and web analytics using sophisticated taxonomy and classification. The result was a site that was simple for customers to use, simple for internal staff to update and has helped reduce call volumes by 40%.

iCE Ontology

Intelligently classifying web content, documents, spreadsheets and other digital assets on a budget, without the need to administer bespoke tools can seem like a daunting task. That’s why we have developed iCE (Infomentum Classification Engine) Ontology to give our customers a cost effective classification capability.

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If your organisation has an Oracle solution, then we can help you get the maximum return on your investment. We have proven in-depth knowledge of leading information management vendor software stacks.

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Document Management

Today’s organisations are creating more documents than ever before. Essential customer records, presentations, emails, purchase orders, invoices, contracts – the list is endless. As is the value locked in that content.

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Searching for business-critical information locked in content and documents is often an imprecise process. Because humans are often imprecise. Traditional search engines aren’t able to understand the meaning – which is to say the semantics – of user searches. And while we may struggle to think like machines, thanks to semantics, machines can start to think like us.

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Enterprise Search

Organisations are creating and storing more data and content than ever before. But, all of that information is useless unless you can find what you need when you need it.

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