The Yin and Yang of Integrated Data Systems
By Lynda Bourne on Mosaicproject’s Blog
Integrated project management information systems (PMIS) are becoming more common and more sophisticated ranging from ‘web portals’ that hold project data through to the potential for fully integrated design and construction management using BIM. The benefits derived from using these systems can be as much as 20% of the build price on complex construction projects using BIM.
The advantages of this type of information storage and retrieval system include:
- Ready access to data when needed via PDAs and ‘tablets’ significantly reducing the need for ‘push’ communication and the existence of ‘redundant data’.
- One place to look for information with indexing and cross-referencing to minimise the potential for missed information.
- Audit trails and systems to ensure only the latest version of any document is available.
- Cross-linking of data in different documents and formats to assist with configuration management, requirements traceability, and change control.
- Controls on who can ‘see’ the data, access the data and edit the data.
- Workflow functions to remind people of their next job, list open actions, record actual progress, etc.
- A range of built-in functions to validate data and avoid ‘clashes’, including locking or ‘freezing’ parts of the data set when that information has been moved into ‘work’.
These benefits are significant and a well-designed system reduces errors and enhances productivity leading to reduced costs, but the ‘yin’ of well-designed PMIS comes with a ‘yang’!
People increasingly tend to believe information produced from a computer system, this is true of ‘Facebook’, Wikipedia and flows through to more sophisticated systems. There also seems to be a steady reduction in the ability of younger people in particular to critically analyse information; in short, if it comes from the computer many people will assume it is correct. Add to this the ability of many of the more sophisticated PMIS tools to transpose and transfer information between different parts of the systems automatically or semiautomatically and there is a potential for many of the benefits outlined above to be undermined by poor data. This issue has been identified for decades and has the acronym GIGO – garbage in, garbage out.
The question posed in this blog is how many projects and project support organisations (PMOs, etc.) consider or actively implement effective data traceability. Failed audits, overruns from scope oversights, and uninformed or ill-informed decision-making are just a few of the consequences project teams suffer from if they do not have full traceability of their project management data. This issue exists in any information processing system from basic schedule updating, through monthly reporting to the most sophisticated, integrated PMIS. If you cannot rely on the source data, no amount of processing will improve the situation! And to be able to rely on data, you need to be able to trace it back to its source.
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Tags: Projectmanagement , Organisatie , BIM