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Blog > Data Quality

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
5 Data Quality Best Practices for Consistent and Error-Free Data

5 Data Quality Best Practices for Consistent and Error-Free Data

You know why data quality is important. But do you understand what data quality looks like in practice? If not, this post is for you. Keep reading for a primer on data quality best practices....

Authors Photo Christopher Tozzi | Data Quality | June 11, 2022
Answer the Tough Questions about Your Customers & Relationships with a Single Customer View

Answer the Tough Questions about Your Customers with a Single Customer View

The implementation of a single customer view provides organizations the ability to have a more consistent and accurate understanding of, and communications with, their customers. However, the...

Authors Photo Precisely Editor | Data Quality | May 28, 2022
3 Key Benefits of Data Democratization

5 Key Benefits of Data Democratization

As companies around the world come to understand just how valuable their data can be, many struggle with data democratization and the question of how to unlock that value for stakeholders throughout...

Authors Photo Precisely Editor | Data Quality | May 27, 2022
Kickstart a Data Quality Strategy to Build Trust in Your Data

Kickstart a Data Quality Strategy to Build Trust in Your Data

Data quality strategy plays a foundational role within the broader context of data integrity. From the executive suite to the front lines, the people who rely on analytics to help them make important...

Authors Photo Precisely Editor | Data Quality | May 23, 2022
Building a Framework for Data Quality Management

Building a Framework for Data Quality Management

Data quality management has emerged as an increasingly important factor in determining the success of big data analytics and AI/machine learning initiatives. Even at a purely operational level, the...

Authors Photo Precisely Editor | Data Quality | May 17, 2022
5 Pillars of Effective Data Management

5 Pillars of Effective Data Management

Enterprises today are relying more than ever on having good data with which to work. Critical business decisions, from an organization’s strategic direction to the details of its everyday...

Authors Photo Precisely Editor | Data Quality | May 13, 2022
Data Quality - 4 Metrics to Monitor

Data Quality: 4 Metrics to Monitor

Artificial intelligence and advanced analytics will be significant drivers of competitive advantage in the coming decade. The volume of available data has skyrocketed in recent years, made possible...

Authors Photo Precisely Editor | Data Quality | April 29, 2022
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