Data Science Consultancy

Harnessing the power of data to drive change


As the volume of data explodes, the practice of data science has evolved to give professionals tools to manage their scientific research, marketing campaigns, manufacturing workflow, and countless other processes.

Increasing use of sensors and trackers will lead to more data, the age of the quantified self is upon us and new methods will be developed to manage and exploit this data for business gain.

Wyoming is actively developing tools and methods to help our clients manage their data challenges, today and into the future. Our services span data modeling, predictive analytics, machine-learning, data migration, dashboards and data visualization. We can work on any of these discrete services or we can wrap them up into a workflow that covers data sourcing, management, visualization and insight.

Data science
Life science on tablet

Data Sources

Data arrives in more formats than ever before. Patient-generated data, clinician recorded data, sensors and trackers, data streams from POS machines or lab equipment, website analytics, manually maintained spreadsheets, external feeds from vendors. We can provide detailed data profiling and preparation and help you choose the right tools and techniques for your particular situation.

Data sources can change. The formats, obviously, but more subtly, the meaning of different elements. If one supplier starts recording customer estimated values into a field and another supplier is recording actual customer values in the same field, is that distinction visible at higher levels of aggregation? Can the sources still be relied upon for the analysis you had planned? Wyoming can help to trace and highlight these source issues, so that the feeds that are ingested are processed correctly.

Data Visualization

Dashboards are visual tools which help to make sense of large datasets. Often richly designed visual tools, drawing the results of complex queries into easy to consume graphical forms. Screeds of table-based data is eschewed in favor of charting tools that can bring the data to life. Hence, ‘visualization’. 

At Wyoming, we’ve lost track of the numbers of queries and reports we’ve built but we’re always focused on what data will do good, rather than what looks good. We can help with dashboards, reports, alerts design. We can help with testing and validation and we can help with visualization tool selection. We judge our efforts by the uplift they provide, rather than the effort we expended to develop the tool.

Pharmaportal screens

Data Insight

The final stage in a data science workflow is the part where you act. This can take some considerable effort to achieve, depending on volumes, formats, etc. but once you have a successful process in place to ingest, manage and analyze data, the insight can flow and support numerous business operations. Regardless of how fancy the visual form takes, the output still has to be validated. Real world evidence gained from acting on the insight regulates the model and yields ever more valuable insight.

Wyoming work with clients to Test, Measure and Learn — taking output from models and applying it to real world tasks. Get in touch today to find out how we can help your organization.

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