Data collection
GLOSSARY
Collecting and managing huge amounts of time relevant data from the decentralized dynamic and heavily growing web is very cost intensive (maintenance costs for server, bandwidth, consulting, development …), time-consuming and complex. All companies that are collecting or have a need for consumer generated data suffer problems related to information overload and noise reduction. They lack of technical skills (Scaling, New Sources detection, Duplicate removal, Data delay, Coverage, Content Extraction,…) to develop specific high-quality online data collection and filtering services as they are focusing on their key business drivers, generating knowledge out of the data.