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Gathering and analysing the data in order they become strategic information
SINERGY Ltd a pool of experts capable of facing all business issues of the Customers both from a technical and functional point of view, supporting them with commitment and reliability.
With our computer processing customized solutions, companies can face the non-stop change of the market and take strategic decisions for their success.
System Integrator
Gathering, consolidate and integrate all the data can be a very complex operation, especially when different applications are involved, database, middleware, hardware platforms and miscellaneous operating systems. Thanks to the use of modern and efficient means SINERGY Ltd can give a unique interpretation of all the data optimizing the time of operation and build the consolidated result.
We have at our disposal certified staff
on different instruments ETL(Extract, Transform and Load) leader of the market as IBM Websphere DataStage
(already Ascential Datastage) that allows us to:
- Move and integrate the data
- Access/populate the most common database (Oracle, DB2, Sybase, Informix, SQL Server, Teradata) in native module or by ODBC standard.
- Handle with Metadata (information on the data structure)
- Access to Mainframe
- Integrate with the most common application of the market (People Soft, Siebel, SAP BW, SAP R3, J. D. Edwards)
Data Quality
The companies and the public offices consider the investments in solutions that allow to obtain certified information more and more strategic, this to support the decisional and operative processes. The weak quality of the data does not allow the company systems to combine and integrate all the information, i.e. to have a general and complete view of the information, this avoids to reach the efficiency and the efficacy that were the reasons of the implementing in the company of strategic or operative applications.
SINERGY Ltd uses software such as IBM Websphere QualityStage (already Ascential Qualitystage) to observe the duplications of the data, irregular, weak or simply missing values referring to the following phases:
- Investigation: to check problems referring to the data and make them uniform according to syntactic and/of methodological principles
- Standardization: to determine the company meaning of each term, solving the limit of the definitions of the metadata
- Matching: identify the duplicated data and the relationship between them using links
- Surviving: to determine what to do with the duplicated data, applying surviving criteria created by the consumer
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