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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. 10) Data Quality Solutions: Key Attributes.

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Data Landscape – Navigating The Data Jungle

Anmut

We could give many answers, but they all centre on the same root cause: most data leaders focus on flashy technology and symptomatic fixes instead of approaching data transformation in a way that addresses the root causes of data problems and leads to tangible results and business success. It doesn’t have to be this way.

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Bringing MMM to 21st Century with Machine Learning and Automation?

DataRobot Blog

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. When this contribution is put against the marketing spend in the particular channel, it produces a reading on the highly coveted return on investment (ROI).

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How Treating Data As An Asset Benefits Your Business

Anmut

Now we’d like to discuss how you can start extracting maximum value from your data by taking a closer look at what data asset management looks like in practice. Data asset management is a holistic approach to managing your data assets. Data transformation is a marathon, not a sprint.

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Database vs. Data Warehouse: What’s the Difference?

Jet Global

A data warehouse is typically used by companies with a high level of data diversity or analytical requirements. By utilizing data warehousing, businesses can better correlate data from disparate systems to inform end-to-end business decisions that take every factor into account.

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What Is Embedded Analytics?

Jet Global

Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. Return on Investment Now we bring it all together to calculate the ROI on embedded analytics. The formula looks like this: ($750k / $250k) = 3, so the ROI is 200 percent. cost reduction).

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Best Web Analytics 2.0 Tools: Quantitative, Qualitative, Life Saving!

Occam's Razor

If after rigorous analysis you have determined that you have evolved to a stage that you need a data warehouse then you are out of luck with Yahoo! If you can show ROI on a DW it would be a good use of your money to go with Omniture Discover, WebTrends Data Mart, Coremetrics Explore. and Google, get a paid solution. LivePerson.

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