Data Quality challenge - Q&A

What is the three question you should ask before you take up any any data management initiative?

Effective data management initiative should tackle the roles, responsibilities, procedures concerning the acquisition and maintenance of data. Organizations of all kinds should examine business trends and customer service levels before addressing a holistic plan on data management.

3 Key questions you need to address before you start Master Data Management (MDM) project:

• Do you trust the quality of the data?

• Does the data conform to the expected business rules?

• Will the existing data suffice the required functionality?

Effective data management initiative provides organizations with the ability to share data across all spheres of activity. This require the responsibility and co-ordinated effort of all the departments accessing the data (e.g., Sales, marketing, manufacturing). The teams concerned with the data have the responsibility to frame the common business rules and definitions for data.

DATA QUALITY MANAGEMENT CHALLENGES

Deploying data quality management program comes with many challenges. Here are the most common issues that crop while implementing data quality management.

• Responsibility delegation from the concerned departments
• Less cooperation between dept units
• Failure to recognize data management problems
• Low level of corporate discipline
• Less budget allocation
• Difficulty to quantify ROI