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VΛLUE ΛND KNOWLEDGE WITH YOUR DΛTΛ

We work on Big data, data science and analytics, almost with any piece of information that has a digital life, with the objective of obtaining knowledge (insights) for  business decisions and generating sufficient results to draw solid conclusions.

SERVICES

DESCRIPTIVE AND DIAGNOSTIC ANALYTICS

What happened and why?

The descriptive analysis of client’s data seeks to understand what happened, validating and verifying its intuitions. 

PREDICTIVE
ANALYTICS

What will happen?

With this type of analysis, we build predictive models integrated to the customer's value chain and its technological tools, allowing answers for future scenarios.

PRESCRIPTIVE
ANALYTICS

Making the future work for you

Prescriptive models are created and integrated to the client's value chain, allowing to evaluate and know the factors that must be considered to obtain, avoid or mitigate a specific result.

CLINICAL AND ECONOMIC EFFICIENCY PROGRAM

For more than 2 years, BIT DATA S.A.S. joined forces with stake holders in healthcare to develop a project debugging and cleaning data associated with clinical and economic management, which together with big data modeling techniques establish high reliability estimates that works as insights for decisions making improving clinical and economic efficiency of services offered by a health institution.

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HOW DO WE DO IT?

A team of data scientists and engineers from our organization, together with stakeholders and process experts in the client's organization, will drive intuitions into assets with measurable value through a consulting process generating analytics products of diferent impacts and scales.

TRAJECTORY

/BIDΛH/ or BIT DATA HealthCare, has developed projects related to the use of data science for decision making.

Main members and collaborators of BIT DATA Healthcare S.A.S. were trained at SIRIUS laboratory of the Universidad Tecnológica De Pereira where they had the opportunity to develop many different projects that allowed them to gain solid foundations. One of the most significant project is the design and implementation of intelligent transportation systems which included embedded traffic light systems, traffic management center, vehicle gauging and traffic estimation in real time through massive data collection, transmission and processing.

WORK TEAM

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Juan D. Hincapie

CEO

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Co-founder

Electronic Engineer, specialist in digital electronics and master in computer systems engineering. University professor and Director of the SIRIUS HPC laboratory at UTP, with extensive experience in the public and private sector leading research projects and applied technology.

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Ivan D. Valencia

Data Scientist

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Master in electrical engineering and software engineer from Universidad Tecnológica de Pereira (UTP) with experience in software development and data analysis. Passionate about the processes of technological appropriation and free software enthusiast.

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Andres F. Bravo

Data

Scientist

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Systems and Computer Engineer, dedicated to improve constantly the tools and infrastructure to maximize productivity, making use of analytical skills as a data scientist.

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Jhon D. Jaramillo

Machine Learning Engineer

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Co-founder

Fabian L. Muñoz

Project Manager

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Computer engineer, MScEng and PMP, with experience and knowledge in engineering management for development of projects in data science, analytics and IT.

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M. Valentina Rojas

Machine Learning Engineer

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Systems and Computer Engineer, passionate for technology, dedicated to data improvement and data exploration, generating new ideas and strategies through data analytics and development of software modules.

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José D.
Melo

Data Scientist

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Computer Systems Engineer who uses data science as a tool to add value to organizations, constantly improving their decision making process and designing new strategies that help increse their productivity.

Computer Systems Engineer with experience in app development for embeded devices and web enviroments, as well as in data analisys. His profesional interests include artificial intelligence, specially the use of machine learning algorithms for decision making and improving corporative process. He’s also interested in ethical aspects and resposible usage of artificial intelligence.

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