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Pre-Conference Data Analytics Workshops: Monday January 29, 2018

Everything You Need To Know To... Effectively Integrate Data Analytics Into Your Company And Predict Problems Before They Occur

'Data Analytics Is The Future Of Well Site Automation' - this is just one of the industry's many comments to authenticate the imminent direction operators are headed in.

Operators are actively carrying out data analytics, whether they realize it or not. Some of the larger operators are ahead of curve, and are plugging significant portions of their budgetary dollars into data analytics. And contrary to popular belief, smaller operators are in an easier position to utilize data than their larger counterparts. However, they are yet to realize it.

These specifically designed pre-conference workshops present excellent opportunities for operators, both large and small, to learn from Heads of Advanced Analytics, Platforms, Infrastructure And Machine Learning, as they deliver materials dedicated to issues crucial to the integration of data analytics into the entire corporate area.

MORNING WORKSHOP LED BY THINGWORX ANALYTICS: ANALYTICS PARADIGM > INTRODUCE DATA > LOGIC > INSIGHT CONCEPT

9:30Where Has Your Organization Succeeded And Failed In Regards To Analytics Projects?

  • What drove the failures
  • How did you proceed
  • Commonalities amongst tables in regards to challenges with analytics projects and innovation
  • IIoT context...data logic insight applied to Industrial settings,
  • Workshop: Where is organitzation in terms of IoT strategy? Projects? Successes / Failures?
  • What Changes is the context not the paradigm
  • BOTH ANALYTICS AND IoT are the same ...
  • Key concept- prevent hurdles previously faced by solving for a well-defined business problem - spent time upfront framing the analytics question which is the IoT question
  • Machine Learning in O&G
  • Workshop: How to frame IOT ANALYTICS QUESTIONS in context of O&G companies
  • Introduction To ThingWorx Analytics
  • It takes more than technology
  • Organizational Buy - In
  • Cultural Transforamtion
  • Power of Partnerships - one vendor is not going to be the sole answer to your problems when comes to Industrial Innovation
  • Allied
  • NVGA ish

Who should attend : Data Analysts, Data Scientists, Reservoir Engineers, Analytics & Advanced Analytics Professionals

Chris Joynt, Director of Business Development, ThingWorx Analytics

12:30 Question & Answer Session

12:40 Light Snacks & Refreshments Will Be Served

AFTERNOON WORKSHOP LED BY CODE EXPERT: INTELLIGENT ACTIONING WORKSHOP

1:30 Process Mining Workshop - Going Beyond Data Mining

  • Intro to Process Mining

This topic will cover the basics of what Process Mining is and why it is different than data mining. we will cover some examples of both and point out the similarities and difference.

  • Defining Business Process through data

The techniques used by process mining require an ability to see processes within datasets. This is a rather complex problem to solve and process patterns can be hard to pick out without the help of technology.

  • Model Development

A business process diagram represents how we do our work. With process mining technology we create process models from a dataset and show what actually happens in our systems, not just what we think we do.

  • Feedback Systems

Once we know more about how processes should work, we can monitor how they do work. We can then provide feedback to users on how to improve what they are doing in the systems.

  • Business Process Analysis

The ability to take questions about how or why a business process is working a certain way and answer those questions requires skill. Leveraging process mining technology not only makes this easier, it speeds up the investigative process.

Who should attend : Data Analysts, Data Scientists, Reservoir Engineers, Analytics & Advanced Analytics Professionals

Brian Darragh, Founder & CEO, Code Expert Canada

4:30 Question & Answer Session

4:40 Networking Drinks For All Workshop Attendees

Group Discount

E&P DISCOUNT

E&P

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