PROBLEM
80% of Oil and Gas data is stored in unstructured files and is not readily useable
SOLUTION
Applying the latest machine learning technology, our iQC system dramatically improves data accessibility quickly and cost effectively
TM
MORE RELIABLE ANALYTICS
By extracting relevant information from your unstructured documents, iQC easily increases the size and quality of your structured data bases and help you making more informed decisions.
USING YOUR DORMANT DATA
Because they were difficult to access due to their low indexing level, unstructured documents were just associated to a storage cost on low speed mass storage.
By automatizing the indexing and cataloging of your unstructured documents, iQC makes it a rich source of information directly usable for analytics, GIS and modelling.
MACHINE LEARNING SOLUTION FOR DATA EXPERTS
DORMANT DATA
Decades of information and knowledge are stored within unstructured formats (pdf, jpg or tiff scans, text files, las, dlis, etc.) They were rarely used due to poor indexing and cataloging.
Discover how to automatically transform your dormant data assets into highly valuable ones.
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MACHINE LEARNING
Detecting a valuable information item in an unstructured document is like detecting a pattern in an image. Machine Learning has proven its capacity to automate this task in various domains.
Discover how we have implemented a machine learning system to ease labor intensive data management tasks for very large data collections.
Structured info
Making more reliable decisions is not only a matter of data volume but also data quality. Not only does iQC automate the extraction of specific information, it also evaluates the level of confidence of the extraction process, and retains a live link between extracted information and the source documents.
iQC creates data sets you can trust.
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