This document outlines the history and services of a Brazilian company called Neurotech from 2003-2016. It describes how the company evolved from focusing on neural networks and credit portfolio management (2003-2006) to working with unstructured data and lean startup practices (2007-2013, 2014-2016). The document then provides examples of how Neurotech uses machine learning and data visualization to help clients in industries like insurance and retail analyze risk and find targeted contacts. It highlights benefits like improved efficiency, productivity and cost-cutting compared to competitors.
2. Privado e Confidencial - Proibido a reprodução
2003 - 2006
Redes Neurais
(Modelagem)
+
Gestão de Crédito Portfólio
de
Soluções
2007 - 2013
Dados Não
Estruturados
Inovação
Lean Start Up
2014 - 2016
Gestão de Risco
+
Nossa história
Privado e Confidencial - Proibido a reprodução
6. •
REDUCE RISKS WITH INFORMATION
We use Data Lake concepts, consuming a vast amount
of online data sources to provide data points, reporting
and decision tools to our clients.
7. INSURANCE
Business Question:
How can we estimate the risk of
robbery and theft ?
CASE INSURANCE
Lean
Startup
Risk of Robbery and
theft
Validated Learning Weekly
feedback on insights
generated and steer analysis
Machine Learning
to identify patterns
Data Visualization to
explore patterns using
geo data.
Information
(ID, Address, Car ID)
8. RESULT
Medium Risk Area
High Risk Area
Low Risk Area
RETURN OF THE
INVESTIMENT IS 5 TIMES THE
AMOUNT INVESTED
THE ACCURACY is 5 TIMES
HIGHER THAN THE
COMPETITORS
AVERAGE ONLINE RETURN TIME
IS 0.1 SECOND
9. We use Data Lake concepts, consuming a vast amount of online data sources
to provide data points and find the right contact in 48h.
WE FIND THE PERSON YOU ARE LOOKING FOR
THE ID YOU ARE LOOKING
FOR
NEUROLAKE MACHINE LEARNING TO FIND
PATTERNS
CONTATE
MAIS
10. BENEFITS
EFFICIENCY REAL RESULTS PRODUCTIVITY
WE DELIVER THE RESULTS
IN 48 HOURS AND THE
COMPETITION DELIVERY
IN 48 DAYS
COST-CUTTING
RESULT
THE ACCURACY is 2
TIMES HIGHER THAN
THE COMPETITORS