Open Sistemas
Open Source Innovation for your Business
      Business Intelligence and Pentaho
Open Sistemas
         Open Sistemas
Open Source Innovation for your Business
      Business Intelligence and Pentaho
00.
00.

      01. Approach
      02. Features
      03. Technology
      04. Other Projects
      05. Success Stories
      06. Contact Information
Business Intelligence Services
           01.   Strategy that facilitates decision taking based on exploiting and
                 consolidating existing information in different data sources.

BI Area          Open Sistemas offers BI services covering several products of
                 reference in open source

                 Phases
Approach         A BI project is structured in phases:

                 - Business analysis
                 - Goal definition
                 - Data normalization and modification
                 - Analysis and transformation model definition
                 - Query interfaces

                 Results
                 - Reports              - Analysis
                 - Balance scorecards - Data mining
                 - Business intelligence platform
Open Sistemas: work on three BI axis
           01.
                 - Different BI environments: Pentaho, Jasper Soft, Talend, …

BI Area          - Custom software development capacity

                 - Integration with other open source technologies: CRM, ERPs,

Approach
Pentaho BI suite
           02.   - Complete spectrum of Business Intelligence features

                 - Reports, analysis, balance scorecards, data mining, data
BI Area          integration and a BI platform

                 - Open, popular, under open source license

                 Pentaho
Features
                 Composed by:

                 - Mondrian
                 - Kettle
                 - Weka
                 - Pentaho
                 - PRE
                 - etc.
Mondrian – OLAP Server
          03.   OLAP server, MDX queries, multiple DBMS supported.


                Open source OLAP server that manages communication between
BI Area         an OLAP application and the database with the source data.

                Mondrian uses MDX as query language.

                Works over standard DBMS, like Oracle, DB2, SQL-Server,
Technology      MySQL, etc.
ETL: Kettle / Talend
          03.   Designs and generates transformations on data sources, models, repositories,
                different formats, etc.

                Transformation and process design
BI Area         Pre-established source formats and transformation results

                ETL code reuse, easy to generate, support and deploy. Tools:
                –SPOON: Transformation graphic design.
                –PAN: Transformation execution.
Technology      –CHEF: Data load design, status control.
                –KITCHEN: Executes batch jobs designed with Chef.



                Jasper Reports
                Report elaboration, presentation, graphics, etc.


                Jasper Reports is a complete open source tool written in JAVA to
                generate reports

                It supports: PDF, HTML, RTF, XLS, CSV y XML.

                Improves quality and presentation of your business information
Other related projects
          04.    CRM applications, POS payment systems , ERP environments, ... etc.


                 CRM environments:
                 –Integration and development on SugarCRM or VTiger
BI Area
                 ERP environment:
                 –Openbravo ERP integration, openERP,...

Other projects   POS environments:
                 –Payment systems through POS
AEAT: Solution Against Fraud
          05.
                  Identified Demand / Problem:
                       ▪   Need to provide users with a
BI Area                    real time information system
                       ▪   Bad scalability and security
                           problems


Success stories   Description :
                                                                  How the problem was solved:
                  ▪High development capacity
                  required on Linux low level system                    ▪   Development Team specialized in
                                                                            Linux
                  ▪   Big data base systems
                                                                        ▪   Senior DBA profile to analyse and
                                                                            execute migration to Sybase IQ
                                                                        ▪   System administration team with
                  Negative impact on customer:                              strong experience in big IBM
                       ▪   Access problem to information by                 systems
                           the users
                                                                  Business outcome:
                       ▪   Low capacity of detecting fraudulent
                           activities                               ▪       Decrease on 200% of response
                                                                            time
                       ▪   Frequent unavailability of services
                                                                    ▪       Elimination of unavailability time
DBMS Analysis column oriented
          05.
                  Identified Demand / Problem:
                    ▪   Identify an optimum solution of OLAP
BI Area                 motor
                    ▪   High requirements on capacity and
                        space and limitation on database
                        design
                    ▪   Final response time under 1 second
Success stories
                  Description :                                 How the problem was solved:
                    ▪   High sizes for standard databases             ▪   Consultancy and analysis of
                                                                          problem at a business and
                    ▪   Lack of specific tools                            technical level
                                                                      ▪   Identification and selection of tool
                  Negative impact on customer:                        ▪   Analysis of optimum data model
                                                                          and valuation Mondrian / SyBaseIQ
                    ▪   There is no tool that responds
                        directly to the needs
                                                                Business outcome:
                    ▪   High response times for functionality
                                                                  ▪       Optimum tool selection
                    ▪   Functional limitations
                                                                  ▪       Implantation process
ICANE: Data Bank Restructuration
          05.
                  Identified Demand / Problem:

BI Area                     DB structures not appropriate and
                        ▪

                            multiple data sources
                        ▪   Need to facilitate access and
                            exploitation for the citizen
                        ▪   Requirements of integration and
                            performance
Success stories
                  Description :                                   How the problem was solved:
                                                                        ▪   Data model redesign in star for an
                        ▪   BI environment applied to statistic             OLAP exploitation
                            analysis.
                                                                        ▪   ETL migration processes design
                        ▪   Citizen oriented                                towards new model: data,
                        ▪   Data utility, scientific rigor                  metadata ..
                                                                        ▪   Development of a data exporting
                  Negative impact on customer:                              layer for graphical interfaces
                   ▪   Problems on data access
                                                                   Business outcome:
                   ▪   Performance problems
                   ▪   Presentation limitations
                                                                    ▪       Migration towards ROLAP
                                                                            environment based in Mondrian
                                                                    ▪       Improvement on data quality and
                                                                            transformation definition
ICANE: Graphic Interface Operation
          05.
                  Identified Demand / Problem:

BI Area                 Offer the citizens in a simple way
                    ▪

                        statistic information from OLAP
                        environments
                    ▪   Interact with a standard interface
                        XMLA/MDX.

Success stories   Description :
                    ▪   Easy and graphic environment         How the problem was solved:
                    ▪   Integration in the ICANE portal        ▪   MDX specific query design
                    ▪   Performance optimization               ▪   Product reengineer Jpivot
                                                               ▪   Custom graphical interface
                                                                   development
                  Negative impact on customer:
                                                               ▪   Cube predefinition
                    ▪   Information access difficulty
                    ▪   Very high maintenance costs           Business outcome:
                    ▪   Limited functionality                  ▪   Graphical system for cube
                                                                   operation for the citizens
                                                               ▪   Easy to use and with a good level
                                                                   of performance
ICANE: Aplicación Secreto Estadístico
          05.
                  Identified Demand / Problem:

BI Area                 Avoid access to direct information
                    ▪

                        that can be deduced through
                        statistics
                    ▪   Rules that prevent deducting form an
                        aggregated data the original data
                  Description :
Success stories
                    ▪   Algorithm knowledge and complexity      How the problem was solved:
                    ▪   Adaptation of cube presentation layer         ▪   Design of the algorithm that
                    ▪   Advanced environment Mondrian and                 implements the functionality of
                        JPivot                                            statistic secrecy
                                                                      ▪   Jpivot presentation layer
                  Negative impact on customer:                            modification for the implementation
                    ▪   Constant service interruption that
                                                                      ▪   Custom graphical interface design
                        affect sales process                              based on JPSs
                    ▪   Impossibility to incorporate new        Business outcome:
                        functionalities on closed software        ▪       Reliable solution integrated in
                    ▪   Maintenance costs were very high                  presentation layer of JPivot
                                                                  ▪       Adaptation and customization for
                                                                          customer
Merck: Agrastat Platform
          05.
                  Identified Demand / Problem:
                  ▪ Count with a platform for
BI Area             medical data exploitation
                  ▪ Lack of homogeneity in data
                    retrieval and reports
                  ▪ Low attractive graphical reports

Success stories   Description :                            How the problem was solved:
                  ▪ High business knowledge is              ▪ Medical testing platform design
                    required
                                                            ▪ Global design of reports
                  ▪ Great heterogeneity between
                    different studies and reports           ▪ Implementation of a tool for
                                                              generating business reports

                  Negative impact on customer:

                  ▪ Slowness when creating a new
                    study                                  Business outcome:
                  ▪ No customized reports and statistics     ▪   Platform capable of hosting
                  ▪ Functionality limitations                    different testings
                                                             ▪   BI system of medical data
                                                                 exploitation
Contact Information
          06.
BI Area



Contact
Information
                        www.opensistemas.com

                        info@opensistemas.com
                          - chile@opensistemas.com (Chile office )
                         - colombia@opensistemas.com ( Colombia office)


                        +34 902 107 396 - 91 746 04 23 (Spain)

                        + (02) 946 2623 – (09) 7212 6887( Chile )


                                                                          v2.02

Business Intelligence and Pentaho Services - OpenSistemas

  • 1.
    Open Sistemas Open SourceInnovation for your Business Business Intelligence and Pentaho
  • 2.
    Open Sistemas Open Sistemas Open Source Innovation for your Business Business Intelligence and Pentaho
  • 3.
  • 4.
    00. 01. Approach 02. Features 03. Technology 04. Other Projects 05. Success Stories 06. Contact Information
  • 5.
    Business Intelligence Services 01. Strategy that facilitates decision taking based on exploiting and consolidating existing information in different data sources. BI Area Open Sistemas offers BI services covering several products of reference in open source Phases Approach A BI project is structured in phases: - Business analysis - Goal definition - Data normalization and modification - Analysis and transformation model definition - Query interfaces Results - Reports - Analysis - Balance scorecards - Data mining - Business intelligence platform
  • 6.
    Open Sistemas: workon three BI axis 01. - Different BI environments: Pentaho, Jasper Soft, Talend, … BI Area - Custom software development capacity - Integration with other open source technologies: CRM, ERPs, Approach
  • 7.
    Pentaho BI suite 02. - Complete spectrum of Business Intelligence features - Reports, analysis, balance scorecards, data mining, data BI Area integration and a BI platform - Open, popular, under open source license Pentaho Features Composed by: - Mondrian - Kettle - Weka - Pentaho - PRE - etc.
  • 8.
    Mondrian – OLAPServer 03. OLAP server, MDX queries, multiple DBMS supported. Open source OLAP server that manages communication between BI Area an OLAP application and the database with the source data. Mondrian uses MDX as query language. Works over standard DBMS, like Oracle, DB2, SQL-Server, Technology MySQL, etc.
  • 9.
    ETL: Kettle /Talend 03. Designs and generates transformations on data sources, models, repositories, different formats, etc. Transformation and process design BI Area Pre-established source formats and transformation results ETL code reuse, easy to generate, support and deploy. Tools: –SPOON: Transformation graphic design. –PAN: Transformation execution. Technology –CHEF: Data load design, status control. –KITCHEN: Executes batch jobs designed with Chef. Jasper Reports Report elaboration, presentation, graphics, etc. Jasper Reports is a complete open source tool written in JAVA to generate reports It supports: PDF, HTML, RTF, XLS, CSV y XML. Improves quality and presentation of your business information
  • 10.
    Other related projects 04. CRM applications, POS payment systems , ERP environments, ... etc. CRM environments: –Integration and development on SugarCRM or VTiger BI Area ERP environment: –Openbravo ERP integration, openERP,... Other projects POS environments: –Payment systems through POS
  • 11.
    AEAT: Solution AgainstFraud 05. Identified Demand / Problem: ▪ Need to provide users with a BI Area real time information system ▪ Bad scalability and security problems Success stories Description : How the problem was solved: ▪High development capacity required on Linux low level system ▪ Development Team specialized in Linux ▪ Big data base systems ▪ Senior DBA profile to analyse and execute migration to Sybase IQ ▪ System administration team with Negative impact on customer: strong experience in big IBM ▪ Access problem to information by systems the users Business outcome: ▪ Low capacity of detecting fraudulent activities ▪ Decrease on 200% of response time ▪ Frequent unavailability of services ▪ Elimination of unavailability time
  • 12.
    DBMS Analysis columnoriented 05. Identified Demand / Problem: ▪ Identify an optimum solution of OLAP BI Area motor ▪ High requirements on capacity and space and limitation on database design ▪ Final response time under 1 second Success stories Description : How the problem was solved: ▪ High sizes for standard databases ▪ Consultancy and analysis of problem at a business and ▪ Lack of specific tools technical level ▪ Identification and selection of tool Negative impact on customer: ▪ Analysis of optimum data model and valuation Mondrian / SyBaseIQ ▪ There is no tool that responds directly to the needs Business outcome: ▪ High response times for functionality ▪ Optimum tool selection ▪ Functional limitations ▪ Implantation process
  • 13.
    ICANE: Data BankRestructuration 05. Identified Demand / Problem: BI Area DB structures not appropriate and ▪ multiple data sources ▪ Need to facilitate access and exploitation for the citizen ▪ Requirements of integration and performance Success stories Description : How the problem was solved: ▪ Data model redesign in star for an ▪ BI environment applied to statistic OLAP exploitation analysis. ▪ ETL migration processes design ▪ Citizen oriented towards new model: data, ▪ Data utility, scientific rigor metadata .. ▪ Development of a data exporting Negative impact on customer: layer for graphical interfaces ▪ Problems on data access Business outcome: ▪ Performance problems ▪ Presentation limitations ▪ Migration towards ROLAP environment based in Mondrian ▪ Improvement on data quality and transformation definition
  • 14.
    ICANE: Graphic InterfaceOperation 05. Identified Demand / Problem: BI Area Offer the citizens in a simple way ▪ statistic information from OLAP environments ▪ Interact with a standard interface XMLA/MDX. Success stories Description : ▪ Easy and graphic environment How the problem was solved: ▪ Integration in the ICANE portal ▪ MDX specific query design ▪ Performance optimization ▪ Product reengineer Jpivot ▪ Custom graphical interface development Negative impact on customer: ▪ Cube predefinition ▪ Information access difficulty ▪ Very high maintenance costs Business outcome: ▪ Limited functionality ▪ Graphical system for cube operation for the citizens ▪ Easy to use and with a good level of performance
  • 15.
    ICANE: Aplicación SecretoEstadístico 05. Identified Demand / Problem: BI Area Avoid access to direct information ▪ that can be deduced through statistics ▪ Rules that prevent deducting form an aggregated data the original data Description : Success stories ▪ Algorithm knowledge and complexity How the problem was solved: ▪ Adaptation of cube presentation layer ▪ Design of the algorithm that ▪ Advanced environment Mondrian and implements the functionality of JPivot statistic secrecy ▪ Jpivot presentation layer Negative impact on customer: modification for the implementation ▪ Constant service interruption that ▪ Custom graphical interface design affect sales process based on JPSs ▪ Impossibility to incorporate new Business outcome: functionalities on closed software ▪ Reliable solution integrated in ▪ Maintenance costs were very high presentation layer of JPivot ▪ Adaptation and customization for customer
  • 16.
    Merck: Agrastat Platform 05. Identified Demand / Problem: ▪ Count with a platform for BI Area medical data exploitation ▪ Lack of homogeneity in data retrieval and reports ▪ Low attractive graphical reports Success stories Description : How the problem was solved: ▪ High business knowledge is ▪ Medical testing platform design required ▪ Global design of reports ▪ Great heterogeneity between different studies and reports ▪ Implementation of a tool for generating business reports Negative impact on customer: ▪ Slowness when creating a new study Business outcome: ▪ No customized reports and statistics ▪ Platform capable of hosting ▪ Functionality limitations different testings ▪ BI system of medical data exploitation
  • 17.
    Contact Information 06. BI Area Contact Information www.opensistemas.com info@opensistemas.com - chile@opensistemas.com (Chile office ) - colombia@opensistemas.com ( Colombia office) +34 902 107 396 - 91 746 04 23 (Spain) + (02) 946 2623 – (09) 7212 6887( Chile ) v2.02

Editor's Notes

  • #12 Customer challenge: - Problem / Challenge (Pain) - Reasons for problem - Negative organization impacts Capability: - How we solve the problem - Positive business outcomes as result
  • #14 Customer challenge: - Problem / Challenge (Pain) - Reasons for problem - Negative organization impacts Capability: - How we solve the problem - Positive business outcomes as result
  • #15 Customer challenge: - Problem / Challenge (Pain) - Reasons for problem - Negative organization impacts Capability: - How we solve the problem - Positive business outcomes as result
  • #16 Customer challenge: - Problem / Challenge (Pain) - Reasons for problem - Negative organization impacts Capability: - How we solve the problem - Positive business outcomes as result
  • #17 Customer challenge: - Problem / Challenge (Pain) - Reasons for problem - Negative organization impacts Capability: - How we solve the problem - Positive business outcomes as result