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Big Data Paves The Way For Fantastic New Social Listening Tools

Smart Data Collective

Big data is playing a more important role than ever in fine-tuning the relationship between customers and brands. The Complex Role Between Big Data and Social Listening Tools. Social media monitoring involves collecting data and is quantifiable. Big Data Makes Social Listening More Viable than Ever.

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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.

Metrics 156
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The Role of Cookies in Analytics and Privacy Issues they Raise

Smart Data Collective

There are a lot of issues in big data that warrant discussion. It is important to be aware of the different online data analytics metrics and tools used to track people online, since they shape the direction of big data technology. It is interesting how one word – cookies can mean different things.

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Here’s Why Automation For Data Lakes Could Be Important

Smart Data Collective

These massive storage pools of data are among the most non-traditional methods of data storage around and they came about as companies raced to embrace the trend of Big Data Analytics which was sweeping the world in the early 2010s. The Thrust for Data Lake Creation. Big Data is, well…big.

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

datapine

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

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Fact-based Decision-making

Peter James Thomas

Again see Using BI to drive improvements in data quality for further details. Pertinence and fidelity of metrics developed from Data. Here we get past issues with data itself (or how it is handled and moved around) and instead consider how it is used. There are often compromises to be made in defining metrics.

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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

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? There are essentially four types encountered: image/video, audio, text, and structured data. Who builds their models?