
Validation vs. Verification: What’s the Difference?
Data validation Data verification Purpose Check whether data falls within the acceptable range of values Check data to ensure it’s accurate and consistent Usually performed When data is created...
Data validation Data verification Purpose Check whether data falls within the acceptable range of values Check data to ensure it’s accurate and consistent Usually performed When data is created...
To measure data quality – and track the effectiveness of data quality improvement efforts – you need, well, data. Keep reading for a look at the types of data and metrics that organizations can...
By now, you’ve heard how valuable data can be, how it can drive your company forward, how you can use it to make better decisions. There’s a caveat there, of course. Information is only valuable...
The promise of big data rests on the laurels of customer impact and value creation at fascinating speeds. However, the more data an organization collects directly correlates to how difficult it is to...
Data quality is crucial – it assesses whether information can serve its purpose in a particular context (such as data analysis, for example). So, how do you determine the quality of a given set of...
If you operate a financial services organization, you want your individual branches to perform at their best. Historically, banks and credit unions have used a variety of methods to determine...
There’s more data available to us now than ever before – that’s for certain. But one thing that companies do need to question, is how well that data is being optimized to its fullest...
Bad data costs time and money. The majority of companies know that bad data is an issue, yet have no solid plan in place for eliminating bad data and its effects. In fact, one study concluded that 85...
In the telecommunications field, you’re faced with two challenges: making the right business decisions in a rapidly-changing environment, and adhering to regulations (especially those related to...