article thumbnail

Data Governance: The Oft-Overlooked Pillar of Strong Data Quality

Dataversity

What are the most common causes of Data Quality issues? The conventional answer to that question includes problems like inaccurate data, duplicate data, or data containing missing values.

article thumbnail

Good Data Quality Is the Secret to Successful GenAI Implementation

Dataversity

So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Astera’s Guide to Insurance Data Quality and Governance

Astera

A strategic approach to data management is needed to meet these demands — particularly a greater focus on high data quality and robust governance to guarantee accuracy, security, and compliance. Adhering to robust governance frameworks allows insurers to ensure compliance with data privacy regulations.

article thumbnail

Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance

Dataversity

The post Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance appeared first on DATAVERSITY. They want to improve their decision making, shifting the process to be more quantitative and less based on gut and experience.

article thumbnail

How to Overcome the Pain Points of Your CRM

However, as a company, sales stack, and database grow, it becomes difficult to uphold structure and governance to keep a CRM up-to-date. Combatting low adoption rates and data quality. When used effectively, a CRM can be the lifeblood of your sales team – keeping everyone organized, efficient, and at peak productivity.

article thumbnail

The Cool Kids Corner: Data Quality Is Not a Fish You Can Catch 

Dataversity

This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking about Data Quality (DQ). Read last month’s column here.)

article thumbnail

Why Is Data Quality Still So Hard to Achieve?

Dataversity

In fact, it’s been more than three decades of innovation in this market, resulting in the development of thousands of data tools and a global data preparation tools market size that’s set […] The post Why Is Data Quality Still So Hard to Achieve? appeared first on DATAVERSITY.