Running an Effective Data Cleansing Project - Flipbook

Running an
Effective
Data Cleansing Project

The Effects of Bad Data
on your Organization
Drastically
increased
maintenance
costs
Critical &
unexpected
downtime
Decreased
maintenance
productivity
Exposure to
EH&S risks
Parts overages
Time lost
searching for
information
Let's look at 5 best practices for fixing bad data

Prioritize Data
What Should be Fixed First?
You cannot fix everything all at once: focus on problems that have the largest
impact on revenue and expenses
Solving problems that increase production achieves the greatest ROI
Continuously test your results after syncing back into your EAM to measure ROI
Evaluate which subsystems provides the greatest ROI
Reuse work across other similar subsystems

Measure
Progress
Design 10-15 key KPIs around master data completeness,
accuracy and suitability in accordance with achieving your
desired objectives
Use a staging solution where you can easily visualize data
completeness through intuitive dashboards and reports that can
be configured around specific metrics and KPIs

Adopt and Set
Standards
Standards should be properly documented and readily available
Manage data in a solution that includes an approval process to ensure all
stakeholders are well informed and able to comment on proposed changes
Use a solution that comes with out-of-the-box features such as reporting, KPIs,
and ISO 14224 compliance libraries

Oversee
the Project
Use a staging area that allows you to easily
find, search, filter, and visualize your data
Permit a wide range of stakeholders to view,
comment on, and approve work-in-progress
If staffing projects with external engineering
contractors, ensure the work is being done in
the most efficient and effective way possible
Use a solution that allows you to oversee and
provide feedback to external contractors

Leverage Existing
Legacy Data
When Replacing a Legacy EAM system:
Use a solution that allows you to load legacy
data and create new sites mapped to your new
EAM
Reuse legacy data when appropriate
Use a solution that can automate the parsing
and creation of multiple fields, and allow you to
easily drag/drop and copy/paste data to save
significant and costly third-party contractor time

Additional Ways to
Work Efficiently
Avoid doing low-value tasks entirely
Reuse existing high-quality master data
Use a solution that will allow you to standardize data
and ensure consistent best practices across multiple
assets
Use an automated solution to avoid retyping,
copying and pasting and checking referential
integrity manually

Reasons Why You Should Use
NRX AssetHub for Data Cleansing
Easily prioritize data based on maximizing ROI
Effectively measure progress. View data completeness results
through intuitive dashboards, pie charts and summary tables.
Configure dashboards and reports around your company KPIs and
metrics
Leverage out-of-the-box features including reporting, KPIs, and
standards compliance
Easily find, search, filter, and visualize your data
Easily load and reuse legacy data, make bulk changes, and
automate the parsing and creation of multiple fields

We help you get your EAM
data right.
To learn more, click here!