Get Accurate and Trusted Data With Our Lookup Tools
Get Accurate and Trusted Data with Our Lookup Tools
IPQualityScore customer review feedback rely on accurate data for making decisions, planning, and operations. However, if the information isn’t trustworthy or reliable, it can have negative consequences like misguided strategies, lost revenue, and eroded stakeholder confidence.
Data accuracy is one of the 6 overarching dimensions of data quality and refers to how well a dataset represents the real-world scenario or event it’s designed to capture. For example, a GPS might show you a gas station nearby on a map, but it may not actually exist when you arrive at the address.
Maintaining high levels of data accuracy requires regular checkups that involve evaluating current data against historical information, looking for trends or anomalies. This also involves checking for signs of a deteriorating data set, such as unauthorized changes made by malicious insiders or malware attacks.
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Errorless data is a necessity for customer relationship management (CRM) as it allows companies to make marketing campaigns more relevant to individual customers, tailor products or services to specific needs, and deliver exceptional experiences. Errors in CRM data can lead to miscommunication, missed opportunities, and a poor reputation.
A data accuracy check, or a “data sanity check,” is a set of quality validations that should take place before using your business’s data for anything – whether syncing it between apps, starting a new project, or turning it into insights. Performing this sanity check will help your team avoid errors that can cost time, money, and reputation.