1. Sinapbit Neuron

2. Common Problems at Enterprises  Data Integration  Data Input

3. Causes of these problems  Different data Sources  Incompatible Data Formats  Different field data values  Applications don’t allow integration

4. Usual Solutions  Custom developments  Exportation - Importation  Manual Input

5.  High costs in development and operation  Usually rigid  Manage only one source and format  Long Implementation times Problems with these solutions

6. Neuron !! THE SOLUTION FOR THESE PROBLEMS !!

7. Usual cases

8. Typical Business Case Favorable tendencies for the brokers The integration is more important now. The traditional integration techniques are not effective. The current middlewares are more appropriate. Factors that will induce to a broad use of brokers The cost of not implementing it will be more painful. It represents more a displacement in the costs that a new expense. They can be implemented in incremental way. They can save money reducing the necessity to develop redundant interfaces among applications. To reduce the costs and to increase the managment and integrity of connecting two or more applications.

9. Features  Handle different source and formats  Several outputs for one input  Data conversion and translation  Easy configuration  Workflow ability  Low Cost

10. Inputs  emails  Files  Databases XML FTP

11. Outputs 129.154.3.89  emails  Files  Databases  Applications  IP addresses FTP XML

12.  Systems and data Integration  Contact Center Component  Notificator / Escalator  Task automation  Sending mails by conditions  Workflow ... Common uses

13.  Automatic mails sending with attached files.  Deattach files from mails and save at variable folders.  Data conversion and translation at the integration.

14. Formats  Structured  Not structured  Smith,John,38,male  lastname=Thompson  firstname=Bill  age=17  [EOR]  Smith  Database tables  XML  el señor Fernandez asistirá a nuestras instalaciones el día 27/10/02 para realizar chequeo anual acordado.

15. Formats  Configuration options that cover most of the data structures.  Data selective process, of any of the sources.

16. Translation- Conversion  Translation of data field values defined by user and in the connection wanted.  Conversion of dates, hours and numbers formats between  applications that manage different formats.

17. Example 1 InputOutputs Neuron  email body  lastname=Smith  firstname=John  age=17  [EOR]  email body  Mr/s John Smith is 17 years old.  File content  John,Smith,17  Write in users database table

18. Example 2  Mr/s Thompson will assist 10/27/02 for his/her annual routine check.Please run analysis application. InputOutputs Neuron  email body Mr/s Thompson has confirmed assistance for 10/27/02.  Write in schedule database table  Run analysis application

19.  From a database table  apellido=garcia  nombre=pedro  Fecha_nac=18/03/92  Prioridad=ALTA Neuron  To a database table  Last_name=garcia  name=pedro  Birth_date=03/18/92  Priority=HIGH Translation-Conversion Example

20.  From a database table  Product_code=AB0024  quantity=20  File content  RJ0245X,50 THE INFORMATION ENTERS FROM DIVERSE SOURCES IN DIFFERENT FORMATS AND WITH THEIR OWN IDs AND they are UNIFIED by Neuron!!!  email body  I need 25 units of CIGAR002 for 02/01/03 AB0024,RJ0245X y CIGAR002 are the same product and correspond to C00101 at the destination database.  To a database table  Id_product quantity C0010120 C0010150 C0010125 Neuron Translation-Conversion Example

21. Thank you for your time.