DIMQ
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DIMQ
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DIMQ
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DIMQ
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DIMQ
Konzepte, Architektur, Umsetzung, Inbetriebnahme!
Datenintegration/ ETL
Datenmigration
Datenqualität
Metadaten Management
Data Warehouse
Datenmodellierung
Business Intelligence

Scenario

A client has multiple IT-systems, which operate as isle-solutions. There is no common database with core data. Neither a consistent view on the information nor an overarching analysis is possible.

Aim

Data of the same sort are to be integrated from the different systems. The same objects are merged, consolidated or combined with each other.

DIMQ-added value:

  • Data integration creates the same state for all systems and achieves actuality of the core data.
  • Data integration recognises contradictions, inconsistencies and redundancies of the data.
  • Data integration simplifies data maintenance many times over for all systems.

DIMQ-experience/ -solution

  • Successful realization of many projects with various software tools and in various areas.
  • Development of frameworks
  • Generating instead of implementing

Scenario

A client has one or multiple IT systems, which have to be transferred to a new system.

Aim

Rationalisation of the IT-landscape and reduction of costs.

DIMQ-added value:

  • IT-platform is created
  • Cost reduction software licences
  • Cost reduction hardware
  • Cost reduction personal resources (know-how for a technology is necessary)
  • High subject-specific and technical transparency at the use of standard software

Scenario

The client has data of poor quality or partly unknown data in his database.

Aim

Data quality is to be improved by identifying and consolidating redundant data. Unproductive data is also identified and removed (e.g. outdated data, test- and dummy-data).

» DIMQ-added value:

  • Business processes are optimised
  • Costs are reduced

Scenario

The client disposes of several IT-systems, which are driven by metadata such as table names. The problem is that there is no overarching maintenance of these metadata.

» DIMQ-added value:
  • Creating a company-wide, overarching platform for all metadata
  • High subject-specific and technical transparency at data exchanges between different systems
  • Reduced reaction periods at the analysis of the changes and impacts on the IT-landscape
  • Metadata is the DNA of the company

Scenario

A client has several IT-systems, which operate as isle-solutions. There is no common database for reporting.

Aim

The data from the different systems are to be merged.

» DIMQ-added value:

The data warehouse creates a consistent information base for all systems.

Scenario

A client has several IT-systems, which operate as isle-solutions. There is no common database for reporting.

Aim

 The data from the different systems are to be merged.

Scenario

A client has merged operational data from the different systems into a data warehouse.

Aim

A Business Intelligence application for analysis and reporting is to be provided to the users.

» DIMQ--added value

The analyses and the reporting support the client with daily work.