Introduction to mirror of america
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Introduction to Mirror of America. September 6 th 2012. Mike Warner CEO and Founder. [email protected] First in Class. Break through technology. AGENDA The Big Picture The pitch: MOA Metaverse The vision and experience: Mirror of America.

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Introduction to mirror of america

Introduction to Mirror of America

September 6th 2012


Mike warner ceo and founder

Mike WarnerCEO and Founder

[email protected]


First in class

First in Class.

Break through technology.


Agenda the big picture the pitch moa metaverse the vision and experience mirror of america

AGENDAThe Big PictureThe pitch: MOA MetaverseThe vision and experience:Mirror of America


Big data big information big knowledge

Big DataBig InformationBig Knowledge


Introduction to mirror of america

Data

“We are now at a point in time when the ability to receive, utilize, store, transform and transmit data, the lowest cognitive form, has expanded literally beyond comprehension.

Understanding and wisdom are largely forgotten as we are submersed in oceans of data and information.”

Dee Hock, Founder and CEO, Visa International


A cable to connect a laptop

A cable to connect a laptop…


Introduction to mirror of america

Models

One out of five products ever produced by humanity have been produced in the last ten years of human history.

The unthinkable complexity of our current global human enterprise is predicated on an information technology revolution that powers increasing coordination within the even vaster and unimaginable lattice of minds, machines and models that span and manage our global economic systems. The Economist


Big data hdmi mini cable

Big Data “HDMI mini cable”

“About 36,400,000 results (0.25 seconds)”


Introduction to mirror of america

Views

"Modern computers can process basic information much faster than any human brain. However, computers have yet to match the brain's remarkable ability to perceive and recognize patterns and make judgments.“

Gordon Fraser, Manager, CERN


Big information

Big Information

“About 36,400,000 results (0.25conds)”


Big problem

Big Problem


Introduction to mirror of america

Views

Models

Data


Big knowledge

Big Knowledge


Product

Product


Place

Place


People

People


Happiness

Happiness


Introduction to mirror of america

Application Space Time Lens Objects Relations Attributes


The moa pitch

The MOA Pitch


Introduction to mirror of america

What the Retailer knows…Mondayand Tuesday are slow.$1M in revenue on $14K a month.Volume is key but barrier with big ticket.


Moa metaverse

MOA METAVERSE


Introduction to mirror of america

2012


Know thy business

Know thy Business


Agile real time intelligence

Agile Real-Time Intelligence


How many people visited moa last month

What percent are browsers vs. buyers?

What is your revenue vs. price sq. ft. at MOA?

What percentage made it to the third level?

How many people are here now?

How many people visited MOA last month?

What are the correlation clusters?

Are products positioned in optimal location?

How many products are there in your store?

How can brick and mortar reclaim market share?

Is performance driven by MOA or my team?


Hdmi mini

HDMI Mini


Introduction to mirror of america

One (not 36 million) results.All the dataAll the modelsAll the viewsPositioned in larger model spacePosition on floorRelations between productsAnalytic positionCreate new view – NO PROGRAMMING


The pitch

The Pitch

An interactive, multi-user, data analytics oriented “Mall of America Metaverse.”

  • Initial Target Audience is MOA Key retailers

  • Explore, define and demonstrate “The Possible”

  • Generate Revenue with MOA SAAS offering.

    Go live in Q4 2012


Introduction to mirror of america

Start with a

Quantum4D

data fed

persistent

domain model.

Enter a subset of data and export space to Google Earth..

Zoom in to click on

specific vessels in real-time.

Map results in geographic space.

  • Connect workspaces to Google Earth

  • Compare trends across different time and geographic scales

  • See patterns that might otherwise be lost in static snapshots.

Here corporate trade finance is compared to shipping stats.

A second import adds a model that shows relations for high correlation in branch/ATM revenue.

A third import let’s you add mobile and point of sales trends.


Introduction to mirror of america

Multi-user, dynamic (historical to real-time) flow of revenue and customers.MOA/Q4D has dedicated DB for each client. Adds benchmarks and demographic data


Where is everyone where are the problems multiple moa use cases

Where is everyone?Where are the problems?Multiple MOA use cases…

  • Security

  • Cleaning

  • Lounge management


Foundation for new frontier

Foundation for new frontier.


Mirror of america

MIRROR OF AMERICA


Introduction to mirror of america

2013


Unique experience know thy self

Unique Experience: Know thy Self


Unique insight know thy community

Unique Insight: Know thy Community


Virtual self and community themes

Virtual Self and Community Themes

  • Blogs

  • Fan sites

  • Content interaction

  • Content navigation

  • Content organization

  • Social media

  • Location data

  • Multiform factor

  • Media types

  • Decision pathways

  • Massively multi-user


Physical space and form factors

Physical Space and Form Factors

  • Mobile Phone

  • iPad

  • Video displays

  • Interactive Walls

  • Tony Romas’ touch table

  • RFID

  • Sensors

  • Holographic displays

  • Multi-user Haptic interfaces

  • Bridging the big picture with the world around me

  • Text page

  • Tags

  • Video feeds

  • Swarm media

  • Ratings

  • Co-presence

  • Anonymous interest clusters


Introduction to mirror of america

SpaceTimeLensObjectsRelations Attributes


Collaborative visual interactive knowledge empowers most daily activities

Collaborative visual interactive knowledge empowers most daily activities.

Fasteraccess to deeperinsights through an interface optimized for digital media (not paper).

  • Explore

  • Unfold networks, trends, and anomalies hidden in data.

  • Uncover unknown unknowns.

  • Model

  • Create easy to navigate models of complex systems.

  • Quick access to sophisticated results, from correlations to risk models.

  • Monitor

  • Define triggering events in all or any of your analytical spaces.

  • Get an alert and direct access to significant event spaces.

  • Analyze

  • Visually analyze multiple variables in a three dimensional space.

  • Apply and visualize statistical analysis and create scenarios on the fly.

  • Report

  • Easily generate a variety of output; from a static chart to a dynamic animation.

  • Publish findings online as portals to make data and insights easily accessible.

  • Manage

  • Integrate multiple data feeds, databases and spreadsheet sources.

  • Organize data in a way that is meaningful to you and experts.


Super user quick install like itunes for knowledge

Super-User | quick install; like iTunes for knowledge

Navigate/Share insights

  • Super-user client (Java)

  • Cloud/data center schemas

  • Solid product ready for market

Build universes of insight.

  • Drag, drop, map & animate views

  • Pivot (reuse) entities and data

  • Fuse data from multiple sources

Page | 54


Web foundation fast prototype to publish no programming

Web Foundation | Fast prototype to publish – no programming.

Publish universes of insight

Drag, drop, map & publish

Persistent position in larger model

Ad hoc interlinking of models

Page | 55


Us total overview

US Total Overview

Feature Highlights

  • Create & display data aggregations

  • Compare 3+ variables in one view.

  • Animation reveals trends

    Federated Data

  • Internal (ATM + Public Data)

  • Federal Reserve (examples)

    • Coincidence Economic Index

    • Employment

    • Non-Farm Payrolls


California county comps

California County Comps

Feature Highlights

  • Rotate 3D chart rooms

  • Drill down from higher scales

  • On demand insights

    Federated Data

  • Internal (ATM + Public Data)

  • Federal Reserve (examples)

    • Demographic profiles

    • Income profiles

    • Share of market


Statewide atm monitoring

Statewide ATM Monitoring

  • Feature Highlights

  • Different View Configurations

  • Dashboard Building

  • Federated Data

  • Internal (ATM + data)

  • Local demographics data

Export to display and animate in Google Earth


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