Data Integrity

What is data integrity and who owns data quality are unresolved debates that span from the plant manager’s office to the C-suite. But the pain associated with bad data is well known. Too often it is assumed that data quality will be addressed in an enterprise system implementation. However, most EAM implementations address data strategy weakly and rarely do they address improving data health. MRG brings accelerators and services to EAM-based engagements to improve and sustain data integrity.

Medium Error

During an EAM system implementation, it is routine to follow a basic "Extract-Transform-Load" or ETL approach to data conversion. During the "transform" phase, data is mapped from legacy system fields to target system fields and transformed into the proper format. Routines are developed to automate this process and it is not unusual for initial execution of these scripts to have large blocks of data "erroring out" due to data quality issues. These errors force a manual "cleansing" of the elements. MRG brings proprietary tools and intellectual property to meticulously scrub, standardize and enhance the data by augmenting data records with library information and even manual walk-downs prior to running these routines. The result - a virtual error free conversion PLUS increased data quality, enabling robust asset performance management.

Read our White Paper - Master Records Are Not Optional

You can’t manage effectively without data.

"Should I authorize overtime next week?” “Should I extend the overhaul frequency on the XYZ machine?” “Is my PM program working the way it should?” “Where am I using the most labor and material resources?” These are all typical questions that face Maintenance Managers every day. It is hard to manage these situation without quality data.

Ac-cel-er-a-tor

1. A device, especially the gas pedal of a motor vehicle, for increasing speed.

2. Chemistry A substance that increases the speed of a reaction.

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