THE ANALYTICS OF THINGS BERN 10TH OF MAY 2016 MICHAEL PROBST

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Transcription:

THE ANALYTICS BERN 10TH OF MAY 2016 MICHAEL PROBST C opyr i ght 2013, SAS Institute Inc. All r ights r eserved.

Is there a problem? Is there a solution? Is there a prediction?

Smart Cities and Homes Connected Customer Communications Surveillance Connected Car/ Transportation Energy I OFnternet Things Building Management Agriculture M2M & Wireless Sensor Network Manufacturing C o p y r ig ht 201 5, SAS In sti tute In c. Al l r ig hts r ese rve d. Healthcare Retail

IOT ANALYTICS AS A KEY ENABLER IoT creates a big data problem that analytics must solve transform huge volumes of data into a small quantity of usable/actionable information. - Peter Middleton, Gartner - Peter Middleton, Gartner

THE IOT PROMISE Efficiencies New Value Quality of Life Early Warnings New Business Models C o p y r ig ht 201 5, SAS In sti tute In c. Al l r ig hts r ese rve d.

Io T THE IOT PROMISE B I G DATA High Velocity Complex Large Analytics Efficiencies New Value Quality of Life Early Warnings New Business Models C o p y r ig ht 201 5, SAS In sti tute In c. Al l r ig hts r ese rve d.

IO T THE IOT PROMISE B I G DATA High Velocity Complex Large Analytics Act Efficiencies New Value Quality of Life Early Warnings New Business Models Sense Understand Act C o p y r ig ht 201 5, SAS In sti tute In c. Al l r ig hts r ese rve d.

INTERNET INTELLIGENCE FOR THE CONNECTED WORLD Connected Retailer Connected Service Connected Cities Connected Energy A national US retailer is using analytical software from SAS to better understand and enhance its customers' shopping experience, while helping to increase the retailer's overall profitability. Improving service operations through predictive maintenance. SAS IoT Analytics provides a global healthcare manufacturer with new insights that proactively identify equipment issues, positively impacting customer satisfaction and service profitability. SAS IoT Analytics quickly detect and alert of leaks and abnormal water usage, providing the city and their citizens valuable information that help them use water more wisely. Improving profitability and customer service by leveraging data from smart meters, applying SAS IoT Analytics, to more accurately predict both short and long term demand.

INTERNET CHALLENGES Technology (Integration) Security (Risks!) Analytics (3V) Challenges Use Case development

INTERNET SENSORS bar Humidity Frequency V/A/Ω Wind/Speed Lat/Lng Sensors C/F Lumen on/off open/closed db G km/h mph

INTERNET EVENT OR CONSTANT MEASURING on/off Event

INTERNET EVENT OR CONSTANT MEASURING bar Permanent stream of data

INTERNET ACTUATORS bar on/off Actuator V/A/Ω Switch Regulate pressure Regulate current/voltage/resistance...

ANALYTICS DATA STREAMS AND ANALYTICS Sensor Peer to Peer (direct M2M) Actuator Other actions (eg. API Call) Complex rules Dashboard Operator Datastore (eg. Hadoop) SAS/Analytics Data Scientist Enterprise Data Streaming Analytics Realtime Decisions

ANALYTICS IOT CAPABILITIES Where to go with the all the data? Hadoop How to monitor the data streams? Explorative Visualisation How to accelerate the data analysis? In-Memory Analytics How to improve the data analysis? Machine Learning How to manage models effectively? Model Management Analyse and act close to the sensor and actuator? Event Stream Processing scale Find/explore accelerate dynamizie manage act

ANALYTICS IOT STRATEGY DATA DRIVEN APPROACH Sensor Datastore (z.b. Hadoop) Enterprise Data Streaming Analy tics SAS/Analy tics Realtime Decisions Actuator Other actions (eg. API Call) Collect Easy data access Enrich Hadoop based data management Collaboration Engineer Data Scientist Exploration Analytics Fast and scalable in-memory technology

ANALYTICS ANALYTICS LIFECYLCE Innovation Regulated Data Science Interactive Prepare Implement Automated Governed Iterative New data Explore Discovery Ask Deployment Act Robust Actions Fail Fast Decisions Experiments Leading Edge Model Evaluate Consistent Deep Learning Documented Data

Deploy ANALYTICS IOT ANALYTICS LIFECYCLE SENSE UNDERSTAND - ACT Data Data Storage f ETL Deploy Alerts / Reports/ Decisioning IoT Data Intelligent Filter / Transform Streaming Model Execution Company Confidential - For Internal Use Only

ANALYTICS FROM THE LAB TO THE FACTORY Innovation Regulated Data Science Interactive Iterative New data Fail Fast Explore Prepare Exploration Analysis Discovery Fast model development Quick validation Ask Implement Model Deployment Performance Management Stream-Processing Deployment Decisions and actions Act Automated Governed Robust Actions Decisions Experiments Leading Edge Deep Learning Model IoT Analytics Lab Evaluate IoT Analytics Factory Consistent Documented Identify and evaluate Operationalize

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