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Precisely Blog Data Quality

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Blog > Data Quality

Data Validation vs. Data Verification: What's the Difference?

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...

Authors Photo Precisely Editor | Data Quality | November 14, 2022
How to Measure Data Quality – 7 Metrics to Assess the Quality of Your Data

How to Measure Data Quality – 7 Metrics to Assess the Quality of Your Data

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...

Authors Photo Christopher Tozzi | Data Quality | November 14, 2022
Data Quality Dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness

Data Quality Dimensions: How Do You Measure Up? (+ Downloadable Scorecard)

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...

Authors Photo Rachel Levy Sarfin | Data Quality | November 14, 2022
Why a Data Supply Chain is Required in the Age of Big Data

Why a Data Supply Chain is Required in the Age of Big Data

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...

Authors Photo Precisely Editor | Data Quality | November 8, 2022
5 Characteristics of Data Quality: accuracy, completeness, reliability, relevance, and timeliness

5 Characteristics of Data Quality

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...

Authors Photo Rachel Levy Sarfin | Data Quality | November 2, 2022
4 Goal Setting Methods to Identify Untapped Opportunities

4 Goal Setting Methods to Identify Untapped Opportunities

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...

Authors Photo Precisely Editor | Data Quality | October 24, 2022
What’s the Role of a Data Manager 3 Things to Know

What’s the Role of a Data Manager? 3 Things to Know

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...

Authors Photo Andy Bell | Data Quality | October 18, 2022
Data Cleansing: How to Get Rid of Bad Data

Data Cleansing: How to Get Rid of Bad Data

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...

Authors Photo Christy Wilson | Data Quality | September 20, 2022
How Telco Firms Can Improve Compliance and Decision-Making without Stifling Innovation

How Telco Firms Can Improve Compliance and Decision-Making without Stifling Innovation

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...

Authors Photo Precisely Editor | Data Quality | September 3, 2022
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