Dr. Connie Brett

Internet of Everything (IoE): Unlocking an Analytical Goldmine

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Data Monetization

Customer Engagement

Optimized Operations

Threat Minimization

Organizational Effectiveness

Source: Cisco Consulting Services primary research, 2013

IoE Opportunity Areas: Data + Analytics

$6.4 T

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Mike O'Callaghan–Pat Tillman Memorial Bridge

Business Outcomes

Enablers

connecting things people

chan

ging

pr

oces

s collecting data

anal

ysis

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actions

25,000+ ft •  Things (devices) provide large volumes of real-time data

10,000 ft •  Analytics produce information based on data from the things

Ground Truth •  We need Actionable Insights for business value realization

IoE, Analytics and Insights

Analytics

insights

people

things

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Let’s Look at an Example

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What’s the state of my

empire?

ATM not

working

Sorry for the inconvenience

All good

Fine

Umm …

ATMs are down in

SF

Why are they down?

Not sure

Day 1

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Let’s use IoE

We need to know sooner

We’ll build a dashboard

Here’s some data

from sensors

We’ll crunch it offline and

aggregate results

Day 2

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What’s the state of my

empire?

How does that data

help?

We built this

dashboard

Not sure

Are any ATMs down?

The average uptime for our

network is 247,365 mins

Day 3

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Mike O'Callaghan–Pat Tillman Memorial Bridge

Business Outcomes

Enablers

things

people proc

ess

data

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Build a mechanism to connect relevant data from devices and things to business outcomes 1

Model and visualize cause-effect relationships across IT & Business layers in near real-time

2

Enable rapid root cause analysis of IT issues that affect the business 3

Goals

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Development Scenario: A large retailer with 100s of stores globally

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Volume Types Status Data Variety Data Velocity Business Value??

SENSORS

DAT

A

VIS

UA

LIZA

TIO

N Static &

Highly Aggregated Dashboards

Delayed Insights from

Traditional Processing

Challenges

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Aggregations Analytics Business Rule Applications Filtering

Continual Analysis

Engine

Alerts & Events

x x

Data and Workflow

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•  Data Visualization as part of analytics communication is paramount to value realization from analytics

•  Humans understand and process visual information differently from numeric and text data

•  Dashboards have been the go-to visualization for analytics in the past •  Used to present lots of information, however often end up unfocused and cluttered/distracting •  Users must link different dashboard items (charts/data/feeds) together mentally •  Visual information may look related but is not (for instance when viewing a compound graph) •  Users are expected to figure out themselves how to take value and actions from the dashboard •  Often there are little to no real-time analytics presented on dashboards

Dashboards and IoE

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•  Consider the Audience •  What actions would/should/might they take from the information presented •  How can we make the intepretation clear, concise and presentable

•  Consider the Data •  Is device data really the only relevant data? •  How should data be presented so that only the relevant information is shown?

•  Consider the Analytics •  Support the Audience with the correct data to address the use case •  Support Insights from the data that can be acted upon

How do we tackle this problem?

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Aggregations Analytics Business Rule Applications Filtering

Continual Analysis

Engine

Alerts & Events

data driven visualization

mongo connector

Data and Workflow

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Business Layers

Device Data Business Rules

Visualization

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RULES ENGINE connects CONCRETE EVENTS with BUSINESS HIERARCHIES

Ingest Events &

Alerts

Run Rules

Propagate effect through tree using Color to indicate severity

of effect > >

Cause-Effect Visualization

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Architecture Overview

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Live Demo

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ATM not

working Sorry for the

inconvenience. We are aware of the issue and are working to resolve it. In the meanwhile, the nearest working

ATM is just one block from your current

location.

Day 4

> ATM 1 DOWN for 3 mins

ATM 5 UP (nearest)

What’s the state of my

empire?

We have current data on an outage of a few

ATMs in SF. Customers are being redirected to nearby ATMs. We know the issue is localized and

therefore impact to business is minimal.

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LIGHTWEIGHT

EASILY CUSTOMIZED

LOW MAINTENANCE

We are embedding the Causality Framework in our Connected Analytics Products and Solutions

Causality Framework

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Q&A

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