SOLUTIONS :: BI & Data Management :: Trusted Data Management ::

Trusted Data Management

Data Management covers a wide range of applications which require large volumes of data to be manipulated and moved, either as a one off activity or as a robust operational process.  Typical examples include:

Data Migration 

The introduction of a new application often requires data from existing systems to be migrated over to the new system.  Often this needs to happen in short time windows, needs to recover if there is failure and may need to run several times as functionally on the new system is phased in.

Operational Batch Processing 
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Many organisations have batch processes that run daily, weekly monthly.  Very often there is the need to accelerate this processing making results available earlier or to automate by eradicating manual steps.

Message Processing 
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These applications read data in real-time, usually from message queuing systems, triggering transaction processing or other data manipulation activities.  Operational robustness is critical in these situations.

Application integration
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Happening either in real-time or by frequent batch processes, these solutions move data between systems.  Keeping source and targets in sync is always important as is ensuring effective handling of rogue data or unexpected events.

    Data Management Diagram

Aspective uses state of the art technology able to handle very large volumes of data whilst still providing exceptional processing performance.  A key aim is to ensure robustness and integrity of processing with appropriate error handling, full reporting of issues, as well as checkpoint and restart facilities.  Additionally Aspective’s expertise, choice of technology and pre-built components enable solutions to be created with exceptional speed.