Openlab Workshop on Data Analytics 16 th November 2012

Motivation Openlab Workshop on Data Analytics2

Motivation  40% of major decisions are based on “gut instinct” and not on facts. -Accenture Openlab Workshop on Data Analytics3 “The unexamined decision isn’t worth making”“The unexamined life isn’t worth living” -Socrates

Objectives  Analytics Use cases Engineering Information Technology Beams  Main challenges on Data Analytics  Analytics techniques, approaches and technologies Openlab Workshop on Data Analytics4

Objectives: Analytics Uses Cases  Engineering  LHC post-mortem  Control system health  Predictive maintenance for control devices  Vibration analysis  Power cut analysis  Electrical consumption  Beams  Control logs analysis  Information Technology  Suspicious event detection  IT Monitoring Openlab Workshop on Data Analytics5

Objectives: Analytics Challenges Openlab Workshop on Data Analytics6 Different data sources and nature: Structured, Semi-structured, Unstructured Big Volume, Diversity and Velocity Different Analytics use cases Different Analytics Technologies Different data representations Decision Making Support Decision Performance Feedback

Objectives: Analytics Technologies  Advance Analytics  Information Discovery  In-Database Analytics  Logs Analysis  Advance Visualization  Reporting and Dashboards  etc. Openlab Workshop on Data Analytics7

Agenda Openlab Workshop on Data Analytics8

Agenda Openlab Workshop on Data Analytics9

Agenda Openlab Workshop on Data Analytics10