Why Is Data Quality Management Important

DHEERAJ PRABHU 151202010

Introduction:

Data have increasingly become more important to organizations these days. A corporation requires lots of funds to manage data but today’s economic conditions makes it difficult for organizations to fund activities to manage data. The corporation treats data as a strategic asset.

Data Quality Management: Data quality management means, the establishment and deployment of roles, responsibilities, policies and procedures concerning the acquisition, maintenance, dissemination and disposition of data. (Geiger). For

Importance:

There are two aspects of data quality, the reactive components and proactive components. The reactive components of data quality helps in countering the problems which already exists in the corporations. The proactive components prevent the arrisal of new problems. Relationship between IT department and business plays an important role for the success. IT requires to understand business rules for the data to be managed as a corporate assets. Many companies does not give any importance to data quality management which they realise after losing billions of dollars.

Challenges related to data quality Management:

Data quality management is not an easy program. To be successful lots of challenges have to be dealt with. Many companies do not take up formal data quality management due to the following reasons:

i) No department of a corporation holds itself responsible for the problems which arise due to lack of data quality management:

One main challenge of data quality management is that no department of a corporation will be ready to take responsibility of the data management. Once the data is collected and stored, other department’s feel that their work is done and rest all is put upon the IT department. The work of IT department is just to take care of the electronic rules and not to make business decisions based on the collected

For example manufacturing department, Product development department and Sales department should work together to arrive at common business rules and definitions for data about products and the way it should be sold. This means that each department should give up some of its control over the product, which is very difficult to attain. iii) Discipline is an important factor in data quality management, which lacks in many corporations without which managing data is difficult:

The IT Company needs to build the systems in such a way that it understands the data to builds the system to process the data correctly. It also means that job description for individuals in these areas reflect their data quality management responsibilities. iv) Data quality management requires huge sum of investments from financial department and also equal contribution by human resource