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At this installment of the SLTN meetup, we're looking at impressive, useful insights big data can provide, and the tools and techniques for finding them.

Rich Caudle, Director of Developer Relations at DataSift

Rich is a developer by trade with 15 years of experience at the coal face, delivering projects everywhere from banks, to agencies to startups. After briefly dipping his toes in sales and marketing, he now focuses on helping developers build projects based on unstructured data analysis. Rich's passion is connecting technology with the reality of delivering innovative projects.

Analyse & Understand Conversations on Social Networks, Forums, Reviews.. Well Anywhere!

Everyone wants to understand their audience and customers - but is counting the number of retweets your latest campaign any more than a vanity metric? How would you like to understand what people are actually saying not just on social channels, but in forums, reviews, to your support team, in fact anywhere people talk to you or about your brand and products.

In this talk Rich will show you how to do exactly this consistently across all channels using the DataSift platform. The result is a complete understanding of what your audience is saying wherever they're talking.

Louis Fernandes, Director, Sales & Market Development at SAS

Louis is expert in understanding how data can drive business solutions across the board - marketing campaigns, risk management, cost savings, efficiency. He has been applying data analytics effectively for clients ranging from Disney to Gucci to Microsoft.

Turning Data into Action

Big Data: Myths and Misconceptions - there's a danger that the term "Big Data" ends up doing more harm than good as it follows the well-documented Gartner Hype Cycle trajectory into the "trough or disillusionment."

The Role of Analytics: I'll discuss what it really is, the difference between it, Business Intelligence and Data Visualisation, and why business executives need to sit up and take note.

D.I.K.W.: Turning the sea of data into actionable insight and competitive business advantage

Analytics in Action: a few examples covering:

  • Retail and Customer Intelligence

  • FMCG/Manufacturing and Demand Forecasting

  • Oil & Gas and Predictive Asset Maintenance

  • Financial Services and Fraud & Risk

  • Pharmaceuticals and Drug Development

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