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Dirty Data: what it means for CSPs digital transformation strategy
Dirty data affects data quality, and ultimately your bottom line. Find out how to create a data quality management plan!


Dirty data affects data quality, and ultimately your bottom line. Find out how to create a data quality management plan!
Dirty data, rogue data, incomplete or inconsistent data. All these terms refer to the same thing and can cover any of these situations:
Data can often be overlooked as a key element of digital transformation. Tools, technologies & processes are often the focus, but equally important to the success of any digital transformation is clean data!
Data is the fuel for sales and marketing campaigns. It is also the cornerstone of business analysis and personalising the customer experience & marketing plan. According to Experian, it is estimated that dirty data can cost businesses up to 12% in missed revenue, mainly through reductions in productivity, wasted resources and crucially, missed sales opportunities.
Dirty data can have an impact on reputation too. Marketing departments using inaccurate data cannot properly target prospects. Using erroneous data can lead to a poor customer experience. You absolutely must get data right before creating a personalised experience for the customer.
Study after study all point to the same problems. It is clear that a database decays extremely quickly, and most companies do not have a solid data quality management plan or rigorous data governance plan in place to deal with it. Let’s look at some statistics on data quality:
Every business must be able to trust their data, but the statistics point heavily in the other direction.
Since 2005 we have been creating and updating contact lists for Telecom & Broadcast Vendors. We can also use our expertise to help clients have a better, more accurate and up to date database through our 4-point plan.
If you want to find out how we can help you address the issue of dirty data, please get in touch today.