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Deriving Analytic Insights from Machine Data and IoT sensors

Recorded on November 3rd, 2016

Hadoop and The Internet of Things has enabled data driven companies to leverage new data sources and apply new analytical techniques in creative ways that provide competitive advantage. Beyond clickstream data, companies are finding transformational insights stemming from machine data and telemetry that are radically improving operational efficiencies and yielding new actionable customer insights.

During this webinar we will:

  • Discuss real world case studies from the field across a variety of verticals
  • Describe the strategies, architectures, and results achieved by Fortune 500 organisations
  • Outline the best practices on how to improve your operational efficiency


  • Hi! You mentioned that 80% of the analytics work flow consists in data cleaning, feature engineering, dimensionality reduction etc. before building the predictive model itself.
    One of the commonly used tools in the engineering for this purpose is Matlab.
    Was this tool part of the ecosystem?
    Thank you!

    • Hi Barbu, Thanks for your question. We don’t typically see MatLab used in the data cleansing process. It’s generally a combination of Hadoop and ETL tools transforming and cleansing data either as part of the loading process or once it has landed within the platform. John

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