83% of data migrations fail or exceed their allotted budgets and implementation schedules, according to Gartner.
One of the biggest reasons for this is data quality.
Your new S/4 system is only as good as the data underpinning it. Missing, invalid or inconsistent legacy data can cause ripple effects when it comes to the new system. While data may never be 100% clean, lack of attention to Data Quality can cripple even the most straight migrations, leading to last minute cleansing initiatives.
Want some help assessing the state of your SAP data and its readiness for S/4 HANA? Fill in the form to enquire about a SAP data quality health check.
This health check will help you prepare for your data migration journey to S/4 HANA, beating the 2027 ECC support deadline.
2023 is the year to focus on data quality as a vehicle to improve your people & process.
Get your foundations in place.
of organisations underestimate costs for the data acquisition tasks.
Gartner
Data migration projects run 41% overtime, on average.
Bloor Research
Data migration projects run 30% over budget, on average.
Bloor Research
With the right tools, you can save up to 70% of time on data migration processes.
Kagool
Interested in a SAP data quality health check? Fill in this form to arrange a call with our SAP experts.
Principal Data Consultant
Lawrence joined Kagool in 2020 to grow the data management practice, typically finding himself involved with SAP S/4 HANA Data Migrations. Previously Lawrence spent 5 years in the automotive industry helping to lead the day to day running over a number of SAP data initiatives to enable business growth.
Ready for a health check of your SAP data?