Data Governance Data Quality Metadata ROI 
datapine
SEPTEMBER 29, 2022
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.
CDW Research Hub
MAY 29, 2019
Data governance helps organizations manage their information and answer questions about business performance, allowing them to better understand data, and govern it to mitigate compliance risks and empower information stakeholders. Checklist: Building an Enterprise Data Governance Program.
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O'Reilly on Data
FEBRUARY 11, 2020
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.
AWS Big Data
MARCH 7, 2023
Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.
Alation
MARCH 11, 2022
This begins with a fundamental shift around how people see data as well as their own relationship to it. First thing: Data is a powerful asset. Consider it now, too, as a product, which, if used correctly and by the right people, can provide real ROI. These are your new data producers. So where do people factor in?
erwin
OCTOBER 29, 2020
Automating data governance is key to addressing the exponentially growing volume and variety of data. Data readiness is everything. Data readiness depends on automation to create the data pipeline. We asked participants to “talk to us about data value chain bottlenecks.”
Alation
MARCH 21, 2023
What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.
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