Data Science as a Service (DSaaS) is an attractive option offering organisations full access
to a multi-dimensional skilled team of data scientists, analysts, business
intelligence developers etc. without requiring them to invest in their own data
It is a Managed service comprising
the full data value chain from data collection, preparation, analysis to visualisation on
behalf of organisations,
functions or teams.
We deploy the following common Machine
Learning approaches to get through the data silos and transform scattered
information into primed insights:
- Logistic regression, SVM (support
vector machines) and Decision Trees to resolve all the classification problems
and optimize the data segments.
- Clustering allows discovering and
exploring data anomalies, matching similarities and exploring datasets on a
- Parallel data processing on
multiple computers in clusters, meaning skyrocket delivery speed.
- Works with any type of data
storages – from file systems and SQL databases to various real-time streams
coming from multiple sources.
- Encapsulating powerful AI
algorithms to run the Machine Learning module, which allows distributed data
processing and functions seamlessly with real-time data operations.