Information management is about giving easy access to the right data for those who need them. To achieve efficient digital collaboration, it is important to ensure both quality and utilization of the information. Employees, leaders and customers of an enterprise expect access to the right information at all times. They must also be able to trust that the information is valid, true and updated.
There are huge benefits in having good, open data where many players use the same information: reduced need for integration, fewer errors and delays due to old data, less need for QA, simplified reporting, and changes are easier to make. In addition, the amount of duplicate work and errors in compilation of data is reduced.
How we help you
We have long experience in using Semantic Web for publication of open data, and we contribute with advice on how to create the best possible conditions for reuse. We have been using topic descriptions represented with Semantic Web standards for a long time. Term definitions, codes and topics are modeled in the vocabulary SKOS (Simple Knowledge Organization System) that provides standardized support for relationships between topics and descriptions of the topics. These can, for example, be used in CMS and text analysis, and documents can be attached to the topics. They can also be used as coding systems to link data to them.
Data quality in itself can be critical. Increasing amount of data, different data formats and an increasing number of data sources can lead to complexity, poor overview, duplication and errors that may have major consequences. Knowledge of data origin also ensures proper use and traceability.
With our expert knowledge in information architecture and administration, we create solutions for our clients with reliable data, presented in an understandable and useful way, with great capacity for change, and which are well prepared for future needs.
– When you actually go into the business world and you look at the data, half of the data is missing, some of it doesn’t make any sense, but you still have to use it. You can't say, 'I quit.'
- Information as a strategic asset. Optimization of processes without looking at improvement of data can be wasted effort. Better and correct information in itself leads to the improvement of the enterprise's processes.
- Deal with information, not systems. Consolidation of information in an organization through information-centered services or by linking to the master data instead of the shadow system.
- Correct decisions based on real-time data. Dashboards and analysis tools related to the business' information, historical data, real-time data and plans. The approach is built on analytics and semantic descriptions of data.
- Ensure correct interpretation and traceability. Establish systems based on flexible domain models. Descriptions of the information context and origin.
- Support user information needs and enhance user experience. Users must be able to trust that the information presented is accurate and up to date. We get the data to the users and not vice versa.