Database Development and Analysis



Database Development and Analysis

Dataset Quality and System Development Life Cycle (SDLC)

The data quality is the major concern of most of the organizations. In order to have a more thorough understanding about the three tasks, consider an example of having invalid addresses, which could lead to enhanced shipping costs. Hence, to overcome the problem two approaches are followed. The best remediation method in this concern is the reactive approach, which will enable the generation of the shipping label after getting through the processes of data cleansing as well as enhancement process. This leads us to reduce the costs related to invalid addresses. The tasks in relation to the current practice include the following;

Dataset Quality Requirement and Analysis

This process is related to the initial phase of acquisition, and the data quality analysis is carried out, the quality data analysis will serve us to meet the quality expectations of the consumer data sets which are commonly encountered using CRM (Customer Relationship Management). These are sometimes based on the basis of business impact analysis which will lead us for finding the data quality dimensions along with the various aspects related to prioritization for getting desired feasibility. For each and every business activity, one thing is made sure that the information is flowed in the backward and transverse direction for finding the point of data creation and/or acquisition. This makes us trace the location for insertion of data inspection routine. However, the points where the datasets are extracted, exchanged and/or transformed are the points which can be used for data controlling measure which will further be used to trigger the notification events.

Improving SDLC for Datasets

The use of data validation along with data quality reporting, as well as inspection to the business processes, is part and parcel of the organization. The business applications must have to be adjusted as per the requirement of the general SDLC such that the organizational data requirement can be met as per the SDLC requirement phase. This task is related to the process modeling and dataset improvement along with the functional requirement of business and its sound operation. Downstream users operation will depend on the data which has been collected during the operational activities. Nevertheless, the formal data collection is still required as part of SDLC.

Data Quality Improvement Methods

Using the data quality of the organization will helps us in the requirement as well as ...