Are you struggling to ensure the accuracy and consistency of your organization’s data? You’re not alone. Data integrity is a crucial aspect of any organization, yet it can be challenging to maintain. Two critical processes in data integrity are data verification and validation, but do you know the difference? Don’t worry. You’re about to find […]
Data cleansing is one of the most important techniques in data management. People sometimes make mistakes on data entry forms intentionally for all sorts of reasons. Some even tend to omit or enter invalid information just to avoid marketing calls. There’s just no way to prevent errors from getting into your database. The best way […]
If data decay sounds big and scary, that’s because it is. The reality is that no data remains correct forever. And, some data degrades faster than others. Furthermore, personal data is some of the most unstable data out there. On average, Americans move 11.7 times in their lifetime. Over 37 million phone numbers are reassigned […]
There are two primary uses for data processing: Internal processing that businesses use for accounting, lead generation, transactions, and so on. External processing that data processing companies use to offer data processing as a service. Both types of data processing suffer from the same plague: data processing quality control. The problem is that, unlike most […]
Look, your lead generation has a problem: getting enough information to qualify and contact leads. Here’s what’s happening: You get leads through your lead gen efforts. You and your sales team reach out to the new leads. And, half of those leads are no good because the contact information is incorrect. Your lead database is […]
So, you’ve collected a veritable treasure chest of shiny new data. And, now you need to use it. You may be tempted to just dump your new information into your system and start grinding. However, there’s a critical step between data collection and utilization: Data profiling. Data profiling is the process of checking your information, […]
Collecting customer data has never been easier, especially on the internet. From automated email collection and automatic form fill to IP tracking, it’s easy to gather raw customer data. But, there’s a problem: the data is raw. Using raw data is difficult. And there’s often not enough data in the raw dataset to get true […]
