I will mainly presenting my experience of UX/UI in big data analytics in last 10 years in Guavus company (Big data analytics firms). Key points: 1. Big data – What, Who, Why 2. Our real examples of Big data applications 3. Our UX/UI learning in last10 Years in Big data space 4. How to Simplify – Big data problems 5. Key skills you need to enter in Big data space as UX/UI 6. Future in Big data analytics

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By: Paramjit Jolly
UX in Big Data Analytics
Senior Manager Engineering

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Agenda

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What is Big data
Four V’S of Big data
• Volume
• Variety
• Velocity
• Veracity

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Who creates Big data

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Who creates Big data
Current State
Big data

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Why - UX in Big data
UX is the bridge between big data
analytics and the end user.

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Our real world examples of Big data applications

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Network Load Advisor

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Load Advisor - Demo

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LiveOps

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LiveOps - Demo

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Our Leanings in Big data space

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Timeline of Guavus Big data analytics - UI

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Key points for UX in our view

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Key points for UX in our view

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Key points for UX in our view

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Key points for UX in our view

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Key points for UX in our view
Timezone
DST

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Key points for UX in our view

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How to simplify Big data Problems

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Focus on decision

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Summarize, don’t hide

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Use domain specific terms

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Don’t sacrifice everything for simplicity
Simple
Complex

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Big data queries can’t be fast always

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Big data queries can’t be fast always

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Real time data

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How to enter in Big data space as UX/UI
My Last 6 Months
Experience of Hiring
UX people

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How to enter in Big data space as UX/UI

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Future in Big data analytics for UX/UI

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Future of Big data
• Earlier prediction was 9 ZB in 2020
• Prediction increased by 5X (44 ZB)

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Future of Big data

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Future of UX in Big data analytics

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