WHAT WE DO
Advanced analytics for process automation
and improved decision making.
Data ingestion and automated processing, small and large.
Data analysis and visualization to identify key insights
Predictive and prescriptive models of artificial intelligence and machine learning for decision making.
HOW DO WE DO IT
INTERPRO-DS: Internodes Process For Data Science
Methodology for the development of data science projects, based on
CRISP-DM, Microsoft’s TDSP, IBM’s ASUM-DM and Internodes’
own experience, which through an agile and iterative scheme, optimizes the
interaction between all the stakeholders, transferring knowledge and
seeking the best output from the analytics projects carried out.
- We are convinced that data
science and technology must be in the
hands of those who face today’s greatest
social and business challenges.
- We are in a world saturated with
information, but it is only through
data-inferred insights that better
decisions and better results can be
Construction of analytical dashboards to synthesize multiple data sources.
Automatic information processing system for income conciliation in the mass transportation system.
Geographic optimization model to define the location plan for schools in Colombia for 10 years.
Cost distribution model in the food industry to optimize profitability.