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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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Data Maturity Models | Measure The Health Of Your Data

Anmut

This ultimately allows for more effective goal-setting, with targets determined according to both your data maturity right now and the desired stage you want to attain in the future. Why do we need data maturity models? A data maturity model helps your company measure its data and business health.

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The steep cost of a poor data management strategy

CIO Business Intelligence

Without it, businesses incur steep costs, but the downside, or costs, are often unclear because calculating data management’s return on investment (ROI), or upside, is a murky exercise. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents.

Strategy 106
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How IBM process mining unleashed new efficiencies in BoB-Cardif Life

IBM Big Data Hub

The office sought a practical solution for process optimization and automation to address the aforementioned issues. While optimizing management mechanisms for cost reduction, efficiency enhancement, and risk mitigation. With goal of achieving cross-departmental and cross-system business process collaboration to reshape and optimize.

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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. The Active Data Ratio metric determines the percentage of datasets that deliver value.

Metrics 130
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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

Armed with BI-based prowess, these organizations are a testament to the benefits of using online data analysis to enhance your organization’s processes and strategies. 1) Too expensive and hard to justify the ROI of BI. They also need these tools to generate a true ROI. 4) Businesses aren’t measuring the right indicators.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

Or even better: “Which marketing campaign that I did this quarter got the best ROI, and how can I replicate its success?”. These key questions to ask when analyzing data can define your next strategy in developing your company. As Data Dan reminded us, “did the best” is too vague to be useful. Giving the most ROI?

IT 317