Solutions

 "Dutch digital archives appear to be hardly usable." – NRC – 10 September 2011
"The search is on for lost PDF-File Tristan " – AD – 22 July 2011

The examples above illustrate the complexity of saving large quantities of (unstructured) data. But also, the importance of data that is easily searchable and found. How can you ensure that the relevant information can be found simply and at a low cost in your organization?

By metadata labeling. Not manually, computerized!

Manual metadata labeling of texts and documents is in fact very labor intensive. Content2Context develops innovative and self-learning software whereby (large quantities of) unstructured text can be automatically metadata labeled. With this software, text can be made quickly accessible and relevant. For both your external and your internal customer!

Content2Context is specialized in managing and structuring unstructured data in a variety of ways. Various text intelligence applications have already been developed whereby (large quantities of) text can be automatically summarized, interpreted, anonymized and classified. Relevant data can be searched, found and applied more quickly and simply.

In short: from unstructured data to relevant information.

For which types of organizations are the Content2Context solutions suitable?

• Organizations that are digitizing their entire process and still process meta data manually.
• Organizations considering the switch to digitization. For example, they have already chosen an ECM system and implemented it. They want to take the first step in terms of reducing paper flow and administration, optimizing internal cooperation and self-service. In addition, they probably need to meet certain legislation.
  
  

Characteristics of companies who already metadata process?

• High labor costs due to manual metadata labeling:
  • Relatively expensive employees are deployed to metadata process documents. Employees are more expensive because metadata labeling is complex and therefore more expensive staff must be deployed.
• Inconsistent quality of metadata labeling due to manual work and differences in interpretation.
• Scalability of metadata labeling criteria is limited to what employees can handle and is difficult to revise afterwards.
• Quality control is difficult, given that the metadata process takes place inside the head of the person carrying out the metadata labeling.
  
  

What advantages does C2C offer?

• Computerized metadata labeling of unstructured text and named-entity-recognition in both documents and legacy systems: with the help of C2C solutions, metadata labeling can be quicker, better and cost less.
• Higher quality service for internal customers.
• Information can be found more simply, since the information is no longer 'hidden' in separated information silos. Easier to find, means less time wasted.
• Higher and constantly self-improving metadata labeling quality, due to automatic and self-learning systems.
• Scope of metadata labeling criteria is almost unlimited and easily revised/or supplemented afterwards.
• Not only are the digital documents accessible to the organization, customers and suppliers, but the content in documents and unstructured content in many legacy systems can be made accessible if so desired.
  • The right documents are much easier to find on the website.
  • Possible profiling of website visitors and matching of specific offers to these profiles.