Business data is essential in the modern world. It’s what enables you to differentiate yourself, letting you sift through all the data and research on customers and users to find the best way to stand out from the competition.
The process of determining your data quality can be difficult, especially with snags in your workflow or inconsistencies in the data you already have, but we’ve put together 8 ways you can determine your data quality yourself.
Relevance
Assess your own company’s goals beforehand, and then evaluate whether your data aligns with your needs. This can be the accuracy of the data, how complete it is, or even the security of it.
Reputable Sources
Ensure you’re using the right analytics platform to help you utilise the full capabilities of your data whilst remaining transparent.
Singular Sources
Keeping your sources succinct and easily traceable allows you to prioritise your resources, and makes any cleanups that may arise far more manageable.
Frequent Use
Data may seem valuable but in practice be useless, depending on whether people use it. Check if your teams are making full use of the data to gauge its usefulness.
Processing Power
This one is more applicable to your actual data systems. Being able to process your data quickly and getting real-time results is vital for getting speedy product information out and keeping your business afloat. You can get help with processing your data through the services and insight of a data collection company such as shepper.com/.
Cross-functionality
Different teams will treat data differently, so something that may seem useless to one team might be invaluable to another. Data that is relevant across the board can help keep things running smoothly.
Cost-efficiency
Data that is cost-effective with high uptime in your systems is undoubtedly more valuable. The consistency of your data scheme can be important in determining this.
Convertibility
Data needs to be easily interpretable to your teams. How easily you can express or visualise this data can affect its quality. If it’s unreadable, it’s unlikely that it’s going to be usable.
