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How to Implement a Data Quality Framework

Dataversity

They have the data they need, but due to the presence of intolerable defects, they cannot use it as needed. These defects – also called Data Quality issues – must be fetched and fixed so that data can be used for successful business […].

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Which Data Quality Issues Are Plaguing Data Engineers Today?

Dataversity

We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues?

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Data Quality Dimensions Are Crucial for AI

Dataversity

Since the data from such processes is growing, data controls may not be strong enough to ensure the data is qualitative. That’s where Data Quality dimensions come into play. […]. The post Data Quality Dimensions Are Crucial for AI appeared first on DATAVERSITY.

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How to Assess Data Quality Readiness for Modern Data Pipelines

Dataversity

The key to being truly data-driven is having access to accurate, complete, and reliable data. In fact, Gartner recently found that organizations believe […] The post How to Assess Data Quality Readiness for Modern Data Pipelines appeared first on DATAVERSITY.

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How to Overcome the Pain Points of Your CRM

Leveraging research and commentary from industry analysts, this eBook explores how your sales team can get back valuable time by overcoming some pain points with your CRM, such as low adoption rates, integrations, and data quality.

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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.

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Optimizing Data Quality to Navigate Economic Turbulence 

Dataversity

These initiatives may provide companies with short-term reprieve during times of disruption, […] The post Optimizing Data Quality to Navigate Economic Turbulence appeared first on DATAVERSITY.

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How to Overcome the Pain Points of Your CRM

Combatting low adoption rates and data quality. Leveraging leading industry research from industry analysts, this eBook explores how your sales team can gain back valuable time with the following: Conquering the most difficult pain points in your CRM. Leading integrations that fit directly into your CRM and workflow.

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Forrester Research Report: How Sales and Marketing Intelligence Drive Improved Business Outcomes

Those implementing a B2B sales and marketing intelligence solution reported that they have realized 35% more leads in their pipeline and 45% higher-quality leads leading to higher revenue and growth. B2B organizations struggle with bad data. More organizations are investing in B2B sales and marketing intelligence solutions.

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.

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Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions. Download this eBook and gain an understanding of the impact of data management on your company’s ROI.