OpenSistemas Corporate Presentation 2018

1. Corporate Presentation

2. DATA TECHNOLOGY CAN HELP YOU...
Tell you what is likely to happen thanks to
predictive modeling, which involves running
simulations
Find unexpected relationships examining
huge amounts of data from many different
data points
Monitor a situation as it develops using real-
time analytics gathering and interpreting
data “as it happens”
Fix a problem before it becomes a crisis,
showing what the likely consequences of a
path of action will be
WE DO
THIS BY:
1
2
3
4

3. ABOUT US
Value Proposition
Experts in Open Source
Commitment to Community
Over 15 years experience
Quality & Innovation
Comprehensive view
Global approach
OpenSistemas is a company
specialised in the development of
highly innovative solutions related
to data management,
transformation, analysis, storage
and visualization in Business
Analytics, Big Data, Data Science
and Data
Engineering environments,
helping our clients to strengthen
the strategic value of their
information.

4. “The only source of knowledge
is experience.”
Albert Einstein

5. BUSINESS LINES
Capture, transform, process and
data storage using ETL systems,
NoSQL databases and Big Data
environments over the cloud
and Linux.
Data Visualization
We make complex data more
accesible, understandable and
usable by designing dashboards,
reports, graphs, video-walls and
other graphical representations.
Data Processing
We extract knowledge and
insights from structured and
unstructured data, uncover
hidden patterns and create
models using Machine Learning
techniques.
Analytics
Proven experience in the
development, integration
and deployment of CMS
and e-Learning website
environments for data
visualization, using open source
over the cloud.
Cloud integration

6. Financial
markets
Smartcities Tax fraud
Internet of
Things
Complex
Event
Processing
Tax Electoral
Systems
Migration to
cloud
Expert
systems
DATA PROCESSING
OpenSistemas Processing area includes our
products and projects related with technologies
oriented to capture, transform, process and
storage data, using ETL systems, big data
platforms and NoSQL database technologies.
The core of our processing approach is the
Apache Spark ecosystem, including Kappa
and Lambda architectures. Different NoSQL
databases, inmemory solutions and columnar
databases together with ETL solutions for big
data integration, like Pentaho Data Integration
or IBM DataStage, complete our value proposal
within this area.
Technologies
Areas of Application
Clients
Spark ecosystem
Big Data streaming solutions
Kappa and Lambda architectures
ETL systems
OsBrain, our Big Data Multi-Agent
platform
NoSQL and Columnar Database
solutions
Big Data deployment over the
cloud
Programing for Big Data: Scala,
Java, R, Python, C/C++
Data management, transformation and
storage
Visit web
Visit cases

7. Batch processing
approach
Traditional
data warehouses
Complex
legacy BI
Reporting
environments
YESTERDAY TODAY
Previously, business intelligence was an entirely
different department of a company than business,
and data analytics took place at an isolated bubble.
Analysis was restricted to analyzing historical data –
data from the past. Today, if businesses just look at
historical data, they will be behind the curve before
they even begin.
OpenSistemas has designed a comprehensive transformation
framework to help organizations in managing their journey to
big data under a real time approach. Combining new Kappa
and Lambda architectures for real time big data processing,
together with in-memory processing Spark based approaches
to improve velocity, we have industrialized every aspect
of transforming current capabilities to use big data in a
predictable, repeatable and cost effective way.

8. Algorithmic
trading
Models and
scenarios
Financial
markets
People
Analytics
Tourism and
consumerism
ANALYTICS Technologies
Areas of Application
Clients
New Data Science approach
Supervised and Unsupervised
Learning Systems
Deep Learning with Tensor Flow
Pentaho and Saiku Business
Analytics Suite
Microsoft Cortana Intelligence Sui-
te
Azure Machine Learning
R, Python and C/C++ programing
environments
OsBrain, our Big Data Multi-agent
platform
OsBrain Markets, our Markets
Analysis platform
Opensistemas analytics area involves
processes and systems extract knowledge
and insights from data in various forms,
either structured or unstructured, employing
techniques and theories drawn from many
fields within the broad areas of mathematics,
statistics, computer science and machine
learning. Thanks to our comprehensive
and integral approach we can integrate
those insights in production environments,
including new scalability and security issues
scaling to big data architectures.
Strengthen the strategic
Visit web
Visit cases

9. HOW TO MANAGE
DATA ANALYTICS
Why is data so important
Different sources including
IoT, variety
Data Quality issues,
veracity
Batch or real time, velocity
High volume
Supervised or unsupervised
learning methodologies
Different tools,
technologies and
environments
HOW TO DEAL WITH IT:
Extract knowledge and
insights

10. Industry Finance
Electoral
Systems
Learning
Analytics
People
Analytics
Balance
Scoredcards
Visit cases
DATA VISUALIZATION Technologies
Areas of Application
Clients
Pentaho CDE and CCC
Kibana extensions for Elastic
Search
Tableau Data Visualization
Software
HighCharts, Raphael, HighMaps,
Lea et libraries
CartoD
Saiku Reporting Platform
D3.js environment for complex
graph edition
PowerBI Business Analytics
Service
Angular JS, Node JS, Bootstrap
The importance of visual representation
of data has been increasing during the
last years as big data and data analytics
environments have been becoming more
popular. Effective visualization helps users
analyse and explain data and evidence.
It makes complex data more accessible,
understandable and usable. Thus, users
may have particular analytical tasks, such
as making comparisons or understanding
causation. In OpenSistemas we work to show
data insights within web environments under
both a rigorous and attractive approach,
covering aesthetic form and functionality
need. We use advanced graphical web
programming technologies for that purpose,
specialised representation platforms and
other classical data science tools.
Communicating insights through graphical
displays
Visit web
Visit cases

11. “
”
By visualizing information,
we turn it into a landscape
David McCandless
And when you’re lost in
information, an information
map is kind of useful.
that you can explore with your
eyes, a sort of information map.

12. Corporate
web portals
Educational
environment
Corporate
training
and large
accounts
Editorial
environment
IAAS, PAAS,
SAAS
environments
Digital
Learning
Content
High
availability
web
solutions
Migration to
Cloud Linux
Visit web
Visit cases
CLOUD INTEGRATION Technologies
Areas of Application
Clients
WordPress and Drupal CMS
platforms
Open LMS platforms: Moodle,
Canvas, Dokeos
MOOC Solutions: OpenEdx,
OpenMOOC
Engines and standards: SCORM,
AICC, Tincan, Marsupial Microsoft
Azure and Linux Environment
Google and Amazon Cloud
Platforms
Linux based and Clustering
Solutions
Quality assurance process and
methodology
Cloud integration is the effort made by an
organization to configure multiple applica-
tion programs to share data in the cloud.
This effort involves the designing process
to create solutions based on SaaS, PaaS
and IaaS technologies over different cloud
environments together with the deploy-
ment of web based architectures and solu-
tions that run over the cloud.
Integrate data processes within your
organization
Visit web
Visit cases

13. We accelerate
your journey to the cloud
Comprehensive vision and
experience
STRATEGY AND DESIGN
Planning, practice and
production migration phase
MIGRATION PROJECT
Architecture evolution and
support
EVOLUTION AND
SUPPORT

14. 9 Learning Integratio n
Programming5
Content Integratio n6
Cloud Integratio n
Visualizatio n1
Data Visualizatio n
Methodology7
Analytic s10
Analytic s
8 Real Time Big Data
Processing2
Storage and ETLs4
Data Processing
Internet of Things11
Cloud3
10 Analytics
1 Visualization
2 Processing
3 Cloud
Storage and ETLs4
5 Programming
Content Integration6
7 8 Real Time Big Dat
Learning Integration
11
9
Methodology
Internet of Things
CRISP-DM
SCORM
A/B Testing
Feature selection
Metadata
Sampling
Data wrangling
xAPI
osBrainMarkets
Multi-agent technologies
Microsoft Cortana
Kibana
Carto
Tableau
Dataiku
Jupyter
Kanban
openCMS
Microsoft Azure GAE
Glossary
Beam
Spark
Scrum
osBrain
Canvas
Random
Forest
Tensor
Flow
Neural
Networks
Clustering
Angular JS
MapReduce
SED
Hive
AWK
Pig Latin
PHP
Drupal
WordPress
Django
Zope
Jboss
Python Chef
TCL
Symfony
Django
XSL
DTD
Nginx
Apache
Web Server
Open ID
Connect OpenSIS Amazon
Google
Cloud
Platform
SAS
PHP
PAAS
OAuth2
OIDC
Angular JS Node JS
Bootstrap
PyQtGraph
VisPy
Matplotlib
Bokeh
ElasticSearch
Educational Data Mining EDM
Learning
Analytics (LA)
Apache Storm
LTI
LRS
CAS
PCA
Gephi
Kernel
selection
PL
Ilias
MongoDB
MonetDB
SAP IQ
Cassandra
DataStage
Talend ETL systems
Data munging KDD
Dimensionality
Reduction
XML
HTML
Ensembling
CSS
R
Cross validation
Lineage
Training
SEMMA
Training
C C++
MySQL
Flume
SQL
Hadoop
Mlib
Claroline
GraphxSpark
Streaming
SparkSQL
Moodle
Dokeos
Sakai
Chamilo Canvas
Class2Go
OpenMOOC
WeMOOC
Open edX
Seaborn
HighCharts
Raphael
Linux
Pentaho CDE
Pentaho CCC
Saiku
PowerBI
Ggplot
Open
LDAP
Java
Postgresql
Power BI
Perl
Java
MQL
PDI
Oracle Hbase
Redis
Hbase
Kafka
Spark Streaming
Lambda
architecture
Kappa architecture
Sqoop
TECHNOLOGY
Areas, Products and Reference Projects

15. SUPPORT
MANAGED
OPERATIONS
SOLUTIONS
ORGANIZATIONAL
AREAS
We adapt to your needs
Specialized department
Support specific methodology
Services pool: SLAs, KPIs, monitoring, 24x7
Continuity with other organizational areas
Stable customer knowledge
Specialized staff
Service Orientation
Client model adaptation
Quality certification
Commitment with our customers
Turnkey approach
Open source specialization
Solution design
Specific methodology
Multidisciplinary approach
Agile development technologies

16. INNOVATION
Innovation, for us, is focusing on investigating new trends, Open Source technologies and new analysis
techniques, representation and use of data, aiming to create products and solutions that improve the
way to understand, understand and manage your business.
Products and Areas
Electiona.com
Worldwide coverage of election data
Graspway.com
Elearning and analytics platform
RobinTradingHub.com
Our trading product hub
OsBrain
Complex Event Processing Platform
OsBrain Markets
CEP solution for market analysis
Electoral systems
Algorithmic Trading
Multi-agent systems

17. Model testing,
scenarios
Environment
simulation
Social Network
Integration
Finantial Markets
Data Analysis
Intelligent Spiders,
tracking and
classification
Recommendation
systems
OsBrain
Complex Event Proces-
sing Platform
Specialized department
Support specific methodology
Services pool: SLAs, KPIs, monitoring, 24x7
Continuity with other organizational areas
Stable customer knowledge
SEARCH AND CLASSIFICATION
IN REAL TIME
STREAMING BIG DATA
ANALYSIS
SIMULATIONS

18. Unique entities,
without divisions,
unified environment,
easy to manage
e-commerce to sell
your training paths, powerful
backend to manage it
Multi entity, for large
corporations or training
companies to third parties
Graspway
Training Paths & Learning
Analytics Platform
Creation and management solution devoted to
organizational training, with their own spaces for
areas or departments
Strongly focused on Learning Analytics and cloud
integration through API
With the best from Wordpress and Open edX,
easy-to-use and scalable
OWN SPACES AND EASY
UNIFIED MANAGEMENT
BASED ON DATA
ANALYTICS AND MACHINE
LEARNING
THE POWER OF
WORPDRESS AND OPEN
EDX TOGETHER

19. Adapts to your needs
Robust, scalable
and stable
REST API available
as JSON file
Build your own graphics
Online web
customizable graphs
Real time
and historical info
ELECTIONA.com
Electoral information
representation
on real time
Advanced graphs using predictive models and machine
learning
Real time data in multi-language and multidevice
Designed for media, institutions, town-halls and political
parties
Historic information of previous elections, analysis
Easy to configure and setup
ELECTIONA WIDGETS
ELECTIONA APIELECTIONA ON PREMISE

20. Unique entities,
without divisions,
unified environment,
easy to manage
e-commerce to sell
your training paths, powerful
backend to manage it
Settings optimization
Based on historical data
and backtest info
ROBINTRADINGHUB
Finantial Expert Advisor
Builder Environment
It provides you with products and services
to operate in markets
Watchdog active monitorization solution
Constructed over osBrain, the OpenSistemas
multiagent software for trading environment
PRODUCT ORIENTED
BASED ON DATA
ANALYTICS AND MACHINE
LEARNING
THE POWER OF
WORPDRESS AND OPEN
EDX TOGETHER

21. SUCCESS STORIES
Cases
Big Data an Real Time
Data Processing
Real Time Energy Demand
Visualization Platform
ETLs, Pentaho, Kafka, Spark,
visualization
Information processing
Learning Analytics
Frameworks
Environment: Pentaho Suite
ETLs, data model design,
visualization
e-Learning balanced Score Card
Legacy to Cloud Migration
Projects
Legacy environment migration
to cloud
Host, Unix, Cobol, midleware,
Docker, Azure
Azure cloud IAAS, SAAS and
PAAS Infrastructure
Interactive VideoWalls and
Visualization
Environment: Real Time Big
Data
Spark streaming, Scala, Kafka,
MQ, JMS
Real Time Data processing and
Visualization

22. SUCCESS STORIES
Cases
Visual Data Mining Busi-
ness Platforms
Data Mining / Business
Intelligence projects
ETLs, OLAP, Pentaho, Saiku,
D3.js, ...
Business Analytics environment
Learning Platforms over
Cloud
LMS, LCMS, ebooks and
education platforms
Moodle, openEdx, ...
Education environment over the
cloud
Productive Analytics
Investigation Projects
Descriptive and/or predictive
models, scenarios, ...
R-Studio, Python, Cortana,
Dataiku, ...
Models deployment over the
cloud
Advanced CMS Projects
Portal, sites, Intranets, multisite
environments
Wordpress and Drupal
Web integration

23. REFERENCES
Customers

24. PARTNERS

25. CERTIFICATIONS
AND AWARDS
CERTIFICATIONS
ISO 9001
ISO 14001
ISO 20000
ISO 15504
AWARDS
2016 Open Source on
Azure Partner of the Year
IACMP Cloud Partner 2015
( EMEA Region )

26. CORPORATE SOCIAL RESPONSIBILITY
Our broad experience in the world of services has led us to the conclusion that ethics and respect for people,
the combined capacity to add value to the customer and Corporate Social Responsibility (CSR), are essential
elements in a company like ours, based on value. We promote good practices and sport have become one of
the pillars of the CSR policy of our company, and to it we dedicate part of our resources. We also believe in
the benefits of technology for young people, so our commitment to promote the learning of new technologies
is complete. We are aware that the best happens in open source, so we want to promote scientific-technical
curiosity in children around open source technologies.
Sport and technology

27. OUR PEOPLE
Good and great ideas come from being open-minded, positive and curious as well as exploring new concepts
without preconceived limitations. Thus, innovation is the lifeblood of OpenSistemas. Our strength is having
the ability and capacity to meet our customers’ needs by mobilizing our resources: passion, innovation and
conviction. We believe that by working together with others everyone can think wider, can share further and
can achieve amazing things.
Innovation is the lifeblood of our business

28. info@opensistemas.com
+34 902 10 73 96
Calle Salvatierra, 4
28034 · Madrid
www.opensistemas.com
blog.opensistemas.com
Calle Ebro, 1
41012 · Sevilla