With data becoming a major buzzword, has been a point of interest for most data specialists. data quality is the ultimate driver of . Good data can , account-based success, and winning deals. Superior-quality data revenue for modern businesses generate unprecedented lead conversion rates In contrast, data can significantly of a company’s automation investment. poor quality drop the ROI CRM and marketing With that being said, let us take you through the biggest reasons is still an issue even in 2021. bad data Duplicates Data duplication is when an exact copy of a data point . To those unaware, this issue seems simple. However, data duplication is a and can get pretty tricky to fix. a situation is created widespread concern Thus, in healthcare, duplicate medical records are growing at a fast pace. This leads to patients often being mistreated. We all know the it poses. But for ? There are a few guilty parties: number of risks who is to blame data duplication . You are likely dependent on your employees to . We humans get tired quickly and cannot press on with the same task . As a result, fatigue makes your workers enter multiple copies of the same data piece. The human factor fetch valuable data for you for a long time Data duplication happens when you compile data from various websites. To keep . listings may be slightly altered. Therefore you won’t be able to unless you turn to an advanced querying tool. search engines happy detect duplicates Duplicates are also common when you are . It’s almost the same . fetching users' feedback as the first one Data duplicates are also common when you are asking . Like your employees, , although the reasons may vary. for users feedback users are mistake-prone Inconsistent Formatting Inconsistent data formatting is another issue that . If the data is saved in inconsistent formats, the systems used to analyze the information may not interpret it as needed. haunts most organizations If the the database of their consumers, then the format for basic . It may be especially to differentiate the US and European-style dates and phone numbers, especially when some have area codes and others don't. company collects data pieces should be specified challenging for systems Inaccurate Data Finally, it is pointless to or interact with users based on . carry out data analysis data that is just wrong If it weren’t a common pain, this issue wouldn’t make it to our list. is generated for a number of reasons. Inaccurate data This could be the case of your customers providing to a human operator. This could be details ending up in the . erroneous information wrong field Incorrect data is especially tricky to detect, since entering an incorrect but valid phone number that conforms to the is . general formatting almost impossible to detect The Bottom Line . But if you embrace clear procedures that are followed consistently, your will be accurate and likely super effective at helping you produce the results you seek. Human error cannot be cured data analysis Also, automation tools help decrease the risks of mistakes by exhausted and bored workers. Do your data justice!

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