Data is the new oil. Clive Humby Who are we? Multidisciplinary - - PowerPoint PPT Presentation

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Data is the new oil. Clive Humby Who are we? Multidisciplinary - - PowerPoint PPT Presentation

Data is the new oil. Clive Humby Who are we? Multidisciplinary Team Data Scientists Data Engineers Database Engineers Machine Learning Engineers Multidisciplinary Backgrounds Data Science Business


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“Data is the new oil”.

Clive Humby

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Who are we?

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Multidisciplinary Team

  • Data Scientists
  • Data Engineers
  • Database Engineers
  • Machine Learning Engineers
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Multidisciplinary Backgrounds

  • Data Science
  • Business Intelligence
  • Engineering
  • Economics
  • Database Architecture
  • Software Development
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Our Mission

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Provide to our customers high quality solutions in Big Data, Data Engineering and Data Science in

  • rder to boost their business while giving support

to efficient strategic decision making.

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Our Vision

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To be an innovative company from whom people feel proud of being part of and to be a reference in quality in the IT market.

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Our Values

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  • Collaborative people
  • Innovation culture
  • Analytical mind
  • People success
  • Quality
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Our experience

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Data Science Projects

  • Text Mining/Text Analytics/Chat Bot
  • Data/Big Data Analytics and Predictive Models
  • Computer Vision and Image Detection
  • Anomaly/Fraud Detection
  • Clustering and Recommendation software
  • IoT Systems with Time Series Analysis
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Some projects we have done:

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IT Operations Industry

  • Prediction for ticket dispatch
  • Classification of ticket text closure
  • Worked hours anomaly detection
  • Server resources anomaly detection
  • Root cause detection with change/incident

correlation

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Health Industry

  • Classification of cancer images for skin cancer

type identification

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Software Industry

  • Log analytics with anomaly detection
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Finance Industry

  • Fraud detection on transactions
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Energy Industry

  • IoT system with prediction, simulation and

anomaly detection

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How can we help your business? (in six steps)

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Step 1: Spotting a pain

  • You identify a problem.

It could be something you would like to improve profit or reduce expenses.

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Step 2: Gathering data

  • You provide data about the issue.

It could be data about employees, sales, products or everything else.

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Step 3: Preparing data

  • We clean, standardize, normalize and remove

missing/wrong data in order to avoid misunderstandings.

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Step 4: Drilling data

  • We understand the data, apply analytic technics
  • n it and suggest a strategy to extract valuable

insights for your business.

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Step 5: Creating a solution

  • We develop a model or a bot that best suits your

problem.

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Step 6: Deploying the solution

  • We deploy the final solution that provides

predictions/insights for your business.

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The end.