in-factory White Paper 2008 (German language only)

in-factory - Enterprise Information Management with Swiss precision.

The in-factory solution describes the processes of synchronized data provision as services included in a Service Oriented Architecture (SOA). This requires system stability and reliability through Service Level Agreements (SLAs). A further consequence is the delivery of reliable and transparent information, which in-factory provides using master data life cycle management according to the principle of "don't forget": each piece of information related to master data and related rule or structure modifications is documented. Last but not least, we also incorporate the requisite real time element: our services also function perfectly in time-critical situations. in-factory models and implements EIM processes such as data migration, customer data integration, master data management and data quality management, which meet the requirements of all internal and external information consumers with high-quality information products of guaranteed consistency. The method is based on Total Quality Management. As a service provider, in-factory operates according to the principle of "help to self-help". We aim not only to help customers implement EIM, but also to put them in a position whereby they are able to operate, continually optimize and expand on these processes by themselves in future. With this aim we developed a "how to get rid of your consultant" process and implemented it in the projects.

Order your copy of our White Paper here.

 

Informatica White Paper 2008


Informatica - Information Service for Data Integration: Where IT Meets Business, with supplementary section on Data Integration in Germany (German language only)


Companies that strive for agility and industrialization - and those moving towards process orientation and SOA - need to:

  • understand how Enterprise Information Management (EIM), the IT processes for data management and the collaborative business/IT processes for information management can help to harmonize and connect business and IT strategies and goals with one another, and
  • decide which platform and which components should be selected to implement data integration for Enterprise Information Management (EIM). The most crucial question -and the decision that is most critical to success - concerns the selection of a service-oriented data integration platform with data migration process templates for application and data warehouse consolidation, complete with the tools to build a SOA. It must provide information services for data, master data and metadata.


This White Paper will help you support decisions in this field and will help construct the related road map required.



in-factory

where data become facts

 

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