Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
top of page
EvaluCore

Let us achieve good DATA QUALITY together!

Updated: Mar 7, 2021


High-quality data is the cornerstone of efficient and robust decision-making processes. Managing this through a data management system is critical to ensuring results are credible.

Firstly though, what do we mean by Data Quality? Data quality is the state of completeness, validity, consistency, timeliness and accuracy that makes data appropriate for a specific use. But what exactly does this mean? Take a look at this breakdown.


To improve or achieve better data quality, it is first important to correct and eliminate common errors that affect the data quality of a programme. Ensuring accurate and precise data collection, data entry, data storage, data analysis and data dissemination will pave the way for better data quality which will most definitely improve the decision-making process within your programme.


Here are a few techniques to implement that will certainly reap results.

1) Implement data collection and entry standards: Be clear with how management would want the flow of data during collection and entry to be handled. One way to implement this is by putting together a guideline for data collectors to emulate in order to keep data collection and entry techniques consistent across the board. In other words, implement quality control measures.


2) Staff Training: Implementing a training plan before projects or programmes commence and periodically throughout will improve the consistency and accuracy of data gathered and the efficiency and flow of the team. Once everyone is on the same page, there are fewer factors standing in the way of having better data quality.


3) Stay proactive: Don’t wait until it’s too late to put action to your unintentional mishaps that may have affected your data quality. Continuously verify the reliability, accuracy and effectiveness of data along the way to practice proper data quality assurance.


Having reviewed this blog post you’re most certainly on your way towards achieving great data quality. If you found this information useful and are interested in a customized solution for your data, contact us today or check out our Instagram page for more tips like these

.


64 views0 comments

Recent Posts

See All

コメント


bottom of page