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  • 3 tips to better data quality management

    By CrysTelCall On Information & Data Management Comments December 15, 2013

    3 tips to better data quality management

    Executives in every industry prepare charts, presentations, strategies and make decisions based on the information they have, regardless of how they collected the information they have to be confident in in their data.


    Which is why managing the data quality is very important, using bad data even with the most sophisticated business intelligence solutions will result in inaccurate reporting and cause a domino effect of poor decisions, even worse creating wrongful execution of marketing campaigns or fulfilling customer expectations. 


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    In general a great way of controlling quality is to have specific guidelines for dealing with your data. Your guidelines should have all aspects and details portrayed as accurate as possible when dealing with such data and should be considered a standard of dealing with it, these standards should be upheld at all times.


    From our past experiences with database cleansing, data analysis & reporting, data validation & verification, we have came up with three simple tips that we think would be helpful:


    1. Understanding the type of data:


    This is a bit of a general one, but very important nonetheless, data collected has to be understood before it could be managed, what types of data are required and what are not. What format will the data be given in and how will it be entered, stored and analyzed, are there specific values or will they be general values? Can it (or should it) be validated? And how does it serve the overall goal? 


    2. Automation: 


    Other than being a quicker solution this also reduces any errors that might occur due to human error.


    3. Reporting & Control:


    Incident reporting has to be carried out very carefully and documented properly in order to fix the problem from the root and avoid it happening again in the future. Important matters such as how was it resolved, how long it took to resolve and why it occurred in the first place are all essential.


    We hope the tips are helpful, and if you think you have tips that we’ve missed out let us know in the comments section below. 



    Need help with managing your business’ data? Get in touch with us and we can help!