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

DataRobot Blog

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). ROI gives a standard interpretation of whether a marketing activity was profitable and to compare efficiency across media channels or campaigns. When can you give us the ROI?”.

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How SafeGraph built a reliable, efficient, and user-friendly Apache Spark platform with Amazon EMR on Amazon EKS

AWS Big Data

We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. Their costs were climbing.

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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. Mongoose Metrics ~ ifbyphone.

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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. Cubes are a great way for non-technical users to access data and report on because of the way they are structured: the heavy lifting is already done through pre-calculation. Download Now.

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What Is Embedded Analytics?

Jet Global

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. 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).