Enterprise Resource Planning (ERP) systems are the backbone of many organizations’ operations. These systems integrate various business processes and functions into a single platform to increase efficiency, productivity, and decision-making capabilities. However, the success of an ERP system heavily relies on the quality of the data that feeds it.
Poor data quality can have severe consequences, including inaccurate reporting, inefficient processes, and poor decision-making. These consequences can lead to increased costs, lower productivity, and a negative impact on customer satisfaction.
To ensure the success of an ERP transformation, it is crucial to address data quality issues before, during, and after the implementation. This includes identifying data sources, mapping data flows, standardizing data, and establishing data governance policies.
Key Takeaways:
- The impact of poor data quality on ERP systems
- Best practices for data quality management in ERP transformation
- Techniques for improving data quality in your organization
- The benefits of high-quality data in ERP systems
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Our Speakers
Matthew Phu
Principal, SimplMDG
Pio Marolla
CEO, Thinklinkers
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