Bad data can massively impact your business, costing you valuable time and money. Find out what it is and what you can do to clean up your data!
Data is one of the most important elements of any business’s performance. But there is such a thing as bad data and studies have shown organisations could lose an average of 15 million a year as a result of this.
With many companies have made large strides in their digital transformation, it’s all the more important that you’re aware of the data you’re collecting and how that data is being used.
But what exactly qualifies as bad data? Let’s discuss...
Data can be considered bad for a number of reasons. Most commonly, it can be considered incorrect or misleading information which can lead to missing goals and potentially infringing GDPR.
No organisation is immune to bad data and that’s where implementing a careful review of your data is crucial. Research shows that bad data costs businesses on average 30% (or more) of their revenue, that’s a significant amount of money whether you’re a small business or a large corporation. Not only that, but the time employees spend on fixing this bad data prevents them from using their time more efficiently such as nurturing leads.
GIF Source: GIPHY
The most common types of bad data include:
The first step to cleansing your database is to understand the most common types of bad data that occur, only then can a plan be implemented to ensure all data is cleansed.
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Auditing
The data you store directly affects customer experience, that’s why it’s important to conduct regular data audits. It allows your organisation to review minor issues that might have been missed before they become a larger problem.
Auditing helps to improve the quality of your business data and allows you to perform more effective campaigns because you’re marketing to the right people.
Data management
In order to understand where your data has come from, it’s essential to review it with various teams within the business. By collaborating with the likes of the sales and marketing teams, you’ll have a better understanding of how they collect, store, use and update relevant data.
Once you’ve collaborated with the relevant teams, you can then begin to segment data into groups and evaluate the quality of the data you’re storing. The key things to look out for during a data audit is the accuracy of information. Make sure all data is up to date, and relevant to your current market and there’s no missing information that could affect your ultimate business goals.
As a business dealing with data is inevitable, the key takeaway is to continually review the data you’re collecting and segment it into groups. That way, if bad data makes its way into your database, you’ll be more likely to see the issue sooner and put actions in place to fix it.
Not sure where to start? Get in touch.