Nowadays in the digital world, organizations or enterprises like banks, hospitals, telecommunications or retail shops etc. has an information manufacturing system (IMS) for storing the organization’s data in digital format. Every day, a large quantity of data is manipulated (inserted, deleted and updated) to the information manufacturing system of those enterprises or organizations. To be successful, the IMS must maintain the data and transform it into useful information for decision makers or users. Much of the value will rest in the quality of the data, which may be divided into two classes; objective and time related. In seeking to maintain quality both these classes the completeness, accuracy and consistency of the data and the timeliness of the information generation may be required. As a further complication, Objective data quality class may not be independent. It could be dependent on timeliness of time related class. The main purpose of this research is the improvement of data quality with timeliness in IMS. This starts with observing the reasons for the change of objective data quality over time by using both theoretical and experimental data quality measurements. Novel approaches to ensuring the best possible information quality is developed and evaluated by observing the change of objective data quality scenario with timeliness in a purpose built IMS.