Given its interdisciplinary nature, data science impacts every field and every level of an organization—which is why it’s reached such a position of relevance and prominence. Here are a few examples, in select industries, of how our work has helped clients achieve their growth goals.
We have developed and deployed several smart components for SME software developers, allowing them to increase the value of the products they offer clients. These components are integrated into cloud applications as APIs.
Automatic matching of large transaction volumes from different systems, using a probabilistic coupling technique
Automatic transaction categorization
Cash-flow forecasting using deep-learning techniques
A service company had to manage a large volume of scanned paper documents, so we developed and deployed a tool to classify and analyze these documents automatically.
Automatically classifying scanned documents using machine-learning techniques
Automatically detecting and extracting critical data specific to each type of document, using deep learning
Developing an API to deploy AI algorithms and creating a web interface to facilitate algorithm re-training
We developed a roadmap for the Marketing and Sales department at a leading player in the Quebec insurance field, bringing about increased analytics maturity.
An approach based in co-creation, with the client’s direct involvement via working groups we assembled and led, which covered tasks such as assessing the situation, suggesting a roadmap, and implementing it
An optimal blend of Videns’s consultants’ experience and their concrete knowledge of the realities of the organization, making it possible to set suitable targets and clarify the interface with the IT department
Custom design and training that gets employees comfortable with data science
