What is Big Data Analytics
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The document discusses big data analytics. It defines big data analytics as extracting value from large volumes of a wide variety of data by analyzing it to reveal patterns, trends and associations. This analysis can help companies gain competitive advantages by using the insights for applications like predictive analytics, risk analysis, recommendation systems, and more. It notes that while big data analytics can provide opportunities, it also presents challenges due to its technical complexity. It proposes a big data analytics suite that would make these tools more accessible to businesses.
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What is Big Data Analytics
- 1. What is Big Data Analytics? Guy Harrison Executive Director, R&D Information Management 1 Confidential Software Group
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- 8. What is Big Data? Value Competitive or Collective advantage Variety Volume Structured Unstructured Human Generated Machine Generated Terabytes Petabytes Exabytes Zetabytes Velocity User populations x Transaction rates x Machine data 8 Confidential Software Group
- 10. Fed by cloud, social and mobile 10 Confidential Software Group
- 14. The instrumented human Compass Camera Mike/earphones Heads up display Emotion/Attention monitor • • • • • • Bluetooth Personal Area Network 3G/WiFi Wide Area Network GPS • Storage • • 14 Confidential • • • Pulse, temp monitor Silent alarms Pedometer, sleep monitoring Software Group
- 16. Big Data Analytics More Data Smarter Algorithms Operational Integration Competitive Advantage 16 Confidential Software Group
- 17. Social Media Demographics Online Systems Marketing Automation Dynamic Pricing 17 Confidential Big Data Analytic Algorithms Business Intelligence Customer Acquisition Personalization Customer Retention Software Group
- 18. Big Data Analytics Big Data Analytics AKA Data Science Collective Intelligence Machine Learning Programs that use inputs from “crowds’ to seem intelligent Programs that evolve with “experience” Predictive Analytics Programs that extrapolate from existing data into the future 18 Confidential Software Group
- 27. Search Optimization Advertising • Targeting • Tailoring Game optimization Recommendation Systems Big Data Analytics Medical • Risk analysis • Diagnosis • Prognosis Security • Vulnerability • Penetration Detection Fraud Detection Predictive Analytics • Churn • Defaults 27 Software Group
- 28. Big Data Analytics is HARD! • Machine learning, collective intelligence, Hadoop, predictive analytics, R, Weka, Mahout, are HARD • Small-medium businesses need help to compete • Data scientists to the rescue? 28 Software Group
- 30. We need a Big Data Analytics Suite Kitenga Analytics Suite 30 Confidential Software Group
Notas do Editor
- Insanely popular – literally millions of users