Importance of Data Cleansing in ERP Implementation

The video tutorial by Jennifer Nicholson emphasizes the critical role of data cleansing in ERP system implementation. It explains data cleansing as the process of correcting errors to ensure data accuracy and completeness. The tutorial highlights common challenges, such as data dispersion across systems and iterative cleansing processes. It provides strategies to improve data cleansing, including standardizing data entry, scheduling reviews, and assigning skilled personnel. The importance of accurate master data for ERP success is underscored, with practical steps to integrate data cleansing into organizational practices.

What is the primary goal of data cleansing in ERP systems?

• To ensure data is accurate and complete

• To reduce system costs

• To enhance user interface design

• To increase data redundancy

Why is data cleansing often underestimated in ERP implementations?

• Because it is not important for ERP success

• Because master data is dispersed across multiple systems

• Due to the lack of available technology

• Because it is a straightforward process

What is a common challenge in measuring progress in data cleansing?

• Lack of skilled personnel

• Difficulty in objectively measuring progress

• High costs of data tools

• Insufficient data storage

Which of the following is a recommended step to improve data cleansing?

• Delay data cleansing until after go-live

• Ignore data inconsistencies

• Standardize data entry formats

• Avoid routine reviews

Why is it important to assign the right people to the data cleansing task?

• To match skills with the job requirements

• To avoid using technology

• To reduce the number of people involved

• To ensure the task is completed quickly