Data Migration

Maximise data integrity, minimise manual effort and automate the technical aspects of ETL processes when migration data from one EAM system to another.

Streamline the migration of quality data for your EAM.

With the increasing complexity of Enterprise Asset Management (EAM) systems, the accurate and efficient migration of data has become a critical task for asset-intensive organisations. Unfortunately, data is often only in the spotlight when an organisation is faced with a large system upgrade or implementation. At this point, data can be exposed as a major risk to a program or project with an equally large cost attached to remediate the data and mitigate the risk.

As a critical business asset in an age of digital transformation, data should be managed before, during and after a major program. This approach strengthens an organisation's overall digital capability and mitigates future risks and costs by ensuring data remains evergreen, reliable and accurate.

COSOL’s Data Migration solution leverages the power of our proprietary solution RPConnect to simplify and streamline the migration process, minimise manual effort and maximise data integrity. It automates the technical aspects of Extract, Transform, Load (ETL), significantly reducing the time and effort required to transfer data from legacy systems to new EAM platforms.

Our experienced EAM Data team use their deep expertise in EAM systems and thorough understanding of RPConnect to deliver seamless data migration projects. Working closely with your organisation, they can assess specific organisational requirements, assess data quality, design customised migration strategies and execute the migration process efficiently and effectively.

Ensuring only good quality data is migrated to your EAM System is critical, not only for the migration project but the reliability and accuracy of the new EAM System and the insights it provides.

Our EAM Data Migration solution has unwavering emphasis on good quality data. As a data migration tool, RPConnect incorporates robust data validation and cleansing mechanisms to ensure that migrated data is accurate, complete and consistent.

As a result, your organisation can avoid any potential issues and discrepancies that may arise from flawed or incomplete data and realise a smooth transition to your new EAM system.

Organisations looking to migrate data should take one important first step: acknowledge that ownership and accountability for data quality lies with the organisation itself as a strategic asset, not any one project team or department.

The good news is that by following our three-phase approach to data migration, data quality can be improved ahead of a migration project while also strengthening the sustaining capability of your organisation to maintain data quality in the long-term.

Data Migration can best be explained in three distinct phases:

Pre-Migration – Data Profiling & Remediation
During Migration – Data Standardisation & Loading
Post-Migration – Data Reconciling & Archiving.

Learn more about data migration and each phase in our four-part white paper series of data migration.

Why some ERP system implementations fail

In the first of two articles on Enterprise Resource Planning (ERP) system implementation success, we delve into some of the common practices that organisations need to avoid if they want to ensure the success of their new or upgraded ERP.

REDUCE PROJECT TIMELINES
With a seamless migration experience and a focus on data quality prior to migration, project timelines can be reduced.
ENSURE SUCCESSFUL EAM TRANSITION
With data validated and cleansed, it can be transitioned to your new EAM system smoothly.

ACCESS LEADING DATA TOOLS
Benefit from the efficiencies of our leading data migration tool – RPConnect – before, during and after migration.
SHINE A SPOTLIGHT ON DATA
Bring data quality and management into the spotlight and realise the benefits of data being managed as a critical asset.