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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

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How to Build a Data Quality Strategy to Get Executive Buy-In

Octopai

Which sales strategies bring in the most customers, or the most loyal customers, or the highest revenue? When business users complain that they can’t get good enough data to make these types of calls wisely, that’s a big problem. going to convince top-level management that adopting a data quality strategy pays big dividends?

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How Data Ethics Supports Governance & Monetisation

Alation

And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens. In other words, ethics and governance aren’t just about mitigating risk; with the right approach, they can boost profits, productivity, and ROI. What’s your data strategy?

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The state of data quality in 2020

O'Reilly on Data

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

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The Benefits Of Doing A Data Maturity Assessment

Anmut

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. Understanding your data landscape Data maturity assessments help organisations understand the strengths and weaknesses of their data, across different business areas and geographies.

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Data Maturity Models | Measure The Health Of Your Data

Anmut

Anmut’s own clients estimate that poor data quality and availability causes at least 16% additional cost per year. Worse still, these organisations’ competitors are actually pouring twice as many resources into creating value from their data assets, giving them a massive advantage.

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Digital Transformation Examples: How Data Is Transforming the Hospitality Industry

erwin

The rate at which organizations have adopted data-driven strategies means there are a wealth of digital transformation examples for organizations to draw from. ROI doesn’t meet expectations, the customer experience isn’t quite right , and data gets exposed or mishandled. It is a strategy.