Data is a crucial part of business, with using it in the correct way potentially making the difference between a successful business and an unsuccessful one. Let’s look at some common mistakes to avoid when embarking on your data collection journey.
Don’t rely on unreliable data
Data is a key source of information for businesses, but this doesn’t mean every piece of information is useful. For example, duplicated data can lead to false patterns or trends, and some number data might be rounded incorrectly and give inconsistent data. You need to ensure the data your data analysis company is gathering is quality data that you can use effectively and not just a waste of resources. Data also needs to be current and up to date; otherwise, it can be rendered useless.
Forgetting to standardise data
The way your data is collected and stored is very important. You want all data to be accessible via the same software, such as a spreadsheet, so that all data is standardised and can be compared or used together successfully. If data from different sources is held in alternate formats, it can create more work to get them to match up or it can affect your analysis.
Misunderstanding data
There is no point instructing a company such as https://shepper.com to carry out data collection if you don’t know how to use it. You will need to ensure someone at your company is familiar with KPIs and metrics; in this way, you can get the most out of your investment and work to improve your customer engagement and profit margins.
Failing to see the proper image painted by metrics
Data can be used to create a visual of your company’s digital activity, but it is important to have the correct image in your head and not get carried away with a dreamt-up vision. You need to choose the right way to look at your data, whether pie charts, rankings, or time series, as not all methods will be useful in driving your business forward.
Leave a Reply