Essential Tips to Improve Quality of Data

Essential Tips to Improve Quality of Data

Outsourcing to an established provider of data entry services ensures data quality and security.

www.managedoutsource.com

Managed Outsource Solutions 8596 E. 101st Street, Suite H Tulsa,(800) OK 74133 670 2809

Data plays a crucial role in a business organization and the practice of outsourcing data entry enables many organizations to streamline their voluminous data. While data is important to modern business, the hazards it presents should also be accounted for.

Businesses face many challenges with regard to data quality and reliability. With new risks and pitfalls appearing daily as technology evolves, it is no surprise that the security of data is a major concern. Outsourcing to an established provider of data entry services ensures data quality and security. Following are some tips to improve the quality of the data. 

Verify the quality of data at source: Before processing any data, it is important to ensure that the data is from a good source. If the data is from a non-reliable source, then processing that information is a waste of time.

Therefore checking the source of the data at the start is essential.



Set up a reliable data governance team: Setting up a good data governance team to check the authority and accountability of data is crucial. The team can manage data and bring in the right people at the right time to make the correct decisions. This team ensures that the data is managed well and accurately across the organization and the right decisions are being taken at the right time.



Find out the root cause for erratic data: Sometimes data can be unreliable due to various reasons like extracting data from different sources with contrasting information, mistakes in data entry, vague data processes and so on. Identifying the root cause of data damages and making the necessary corrections is important to ensure good quality data.



Measure data quality: There are many elements that determine the quality of data like relevance, data accuracy, legitimacy, completeness, accessibility and timeliness. Measuring data quality helps organizations display advancement in their data improvement initiatives.



Create a sustainable solution: Organizations face constant addition of data or changing of existing data. Achieving data quality cannot be a onetime exercise.

Minor and temporary tweaks can be fixed with time. Proper training and communication channels will help to build awareness during data processing which in turn will reduce the errors in data.



100% data accuracy is not enough: 100 percent data accuracy is not the ultimate objective of data processing; analyzing the data and taking the right

www.managedoutsource.com

(800) 670 2809

decisions are more important. Improving data quality is not a quick process, it is an ongoing process in the business organization.

Risks of Poor Data quality 

Reduces customer satisfaction



Creates mistrust in the organization



Poor decision making that makes it difficult to start efforts that are necessary for improvement



Inhibit good data driven decision making

Data quality and security are crucial elements for any business organization and utilizing reliable data entry services ensures confidentiality and utmost accuracy of the data.

www.managedoutsource.com

(800) 670 2809