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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

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Big Data Paves The Way For Fantastic New Social Listening Tools

Smart Data Collective

Social media monitoring involves collecting data and is quantifiable. For example, it hones in on metrics in social media like retweets, engagement rates, mention, and story completions. million in Series B in 2010, and was quickly acquired by Twitter for $40 million in 2011.

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Here’s Why Automation For Data Lakes Could Be Important

Smart Data Collective

Sometimes they did, sometimes they didn’t, but the overall feeling when it came to Big Data was still positive because of the potential it had for delivering insights to the business world. The Thrust for Data Lake Creation.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. Last, we’ll provide a case study of how xRR can be used to measure improvements in a data-labeling platform.

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The Definitive Guide To (8) Competitive Intelligence Data Sources!

Occam's Razor

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? These toolbars also collect limited information about the browsing behavior of the customers who use them, including the pages visited, the search terms used, perhaps even time spent on each page, and so forth. 6: Self-reported Data.

Metrics 123
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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 263
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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. What metrics are used to evaluate success?