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How Big is your Data? What’s Big Data All About then? Tony Porritt

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Presentation on theme: "How Big is your Data? What’s Big Data All About then? Tony Porritt"— Presentation transcript:

1 How Big is your Data? What’s Big Data All About then? Tony Porritt
Manager, Applications & Infrastructure, Teesside Site

2 Tony Porritt 1997 – ICI Petrochemicals 1999 – Huntsman Petrochemicals 2007 – SABIC Petrochemicals (~20 years on Wilton Site) “The IT guy”

3 Buzzword Bingo

4 What is Big Data?

5 Question… Do you have Big Data?

6 Those selling Big Data Analytics say YES!
OF COURSE YOU DO!!! Those selling Big Data Analytics say YES!

7 AND YOU’RE MISSING OUT ON ALL THIS STUFF!!!

8 Let’s consider a definition – (Wikipedia to the rescue)
Big data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. There are five dimensions to big data known as Volume, Variety, Velocity and the recently added Veracity and Value.

9 Africa A BIG DATA EXAMPLE Home to 1 Billion Mobile Phones
2009 – Sproxil set up to fight counterfeit drugs market. Home to 90% of the world’s malaria cases. Non-profit organisation Malaria No More needed to track malaria cases Took Sproxil drug data to infer spread. Working with Google to couple this with climate data, migration of people etc. to model malaria spread better.

10 A REAL LIFE EXAMPLE FROM SABIC
BIG DATA A REAL LIFE EXAMPLE FROM SABIC

11 A PROBLEM WE FACED Five packing rings per cylinder Many cylinders Which cylinder needs replacing in the overhaul?

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13 BIG Data Analysis at SABIC

14 Big Data Analysis at SABIC

15 Logical Progression of Techniques
Data Mining Combining existing data sets to create new data sets useful for another function. Big Data Show me “unknown correlations” “Every time x happens, y happens” Predictive Analytics Given a model & live data, what is going to happen next? Machine Learning What is “normal” / “abnormal” Look at input, flag “abnormal” states

16 A WISE MAN ONCE SAID… (TIME FOR A QUOTE)

17 Thank you To select different Thank You options, go to HOME tab and click Layout button.

18 Support Slides

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20 Volume - Data Historian / SCADA / DCS
Do I have Big Data? Volume - Data Historian / SCADA / DCS Variety - Purchases / Production / Sales / Incidents Velocity - Real-time / Labs / Monthly Sales Veracity - Quality of data Variability - Consistency

21 The 5C Model for Manufacturing


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