Identify projects at the highest risk of failure

Follow industry analytics best practice and major software providers approach to early intervention and remedial actions of projects more likely to fail.

  • Analyse historical project data to find what worked and didn’t in the past, why did it happen and what will happen in the future.
  • Historical data shows where overruns occurred and enables you to determine why they happened.  Valuable insight can be gained from predicting where these overruns could potentially happen again.
  • Greyfly has developed its own internal data model to enable automatic data extraction and mapping to accelerate a move into the analytics stage.

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