Data quality and appropriateness assessment

 

Introduction

Data governance involves the supervision, monitoring, and control of an organizations data assets, the main concerns of data governance are; appropriateness, cost effectiveness of the data control methods used, and data quality. Data governance has always been hindered by the fact that organizations have a lot of old data. I have been assigned by a multi-national organization to collect and asses the quality and appropriateness of the data held by the organization. Maintaining the quality and appropriateness of data is significant in any organization since it helps organizations reap rich dividends.

The first step of assessing the quality and appropriateness of the data collected is defining the goal of the organization in improving the quality  and appropriateness of its data and the data rules the organization has in place, the second step is assessing the data collected using the rules mentioned in step one, this will be done by assessing the data against various dimensions such as accuracy of the key attributes, step three will be to analyze the assessment results using multiple fronts one of the areas I will be analyzing is the gap that exists between the data quality and appropriateness goals and the current data lastly on this step I will analyze the cause of inferior quality of data. Step four will include the measures that will be taken to improve the quality and appropriateness of the data the plans to improve the quality of these data will be done on a set time frame and will be cost effective. Step five includes the implementation of the plans in step four. The last step is, step six which is control, in this step the data quality will have to be verified to see if it is consistent with the data goals in step one, and then communicate the data quality metrics to the organization to ensure that the data quality is maintained on an ongoing basis across an organization (Dontha, 2017).

To maintain the security of the data collected I will need the help of experts with expertise in the field of computer security. Breeching the privacy of the data will result to the violation of ethical principles of the organization. Before collecting the data, I will look into the data privacy principles of the organization since protecting this data is necessary due to the information contained in these data.  Tools such as; data profiling that helps in identifying the quality challenges of the data will be put in place and a business rules engine which is a software that confirms the data quality rules will be availed by the organization (Tripwire2016). The organization has to corporate by providing accurate data.

Conclusion

Data quality and appropriateness are some of the concerns of data governance. There are six steps involved in assessing the quality and appropriateness of data of a company. While collecting the data to be assessed the privacy and ethical principles on data should be check. The Help of computer security experts to help keep the data of the company safe. Resources to be used will be availed by the company, these resources include; business rule engine software that confirms the data quality of the rules of the organization.

 

 

 

 

 

 

References

Dontha, R. (2017) Data Quality -A simple 6 Step Process. Retrieved from;             https://www.dataversity.net/data-quality-simple-6-step-process/#

Tripwire. (2016) 5 Ways You Can Ensure Improved Data Security. Retrieved from;             ,https://www.dataversity.net/data-quality-simple-6-step-process/#