improving decison making with layers

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With all of the killer apps, data, incredible visualization and different devices out there in the consumer space, why we aren’t making more/faster progress in adopting some of them in the companies where we work? This presentation explores this question in more detail though a story and several examples and then offer some ideas for how you might be able to break this logjam and get some new decision making tools into your organizations.

TRANSCRIPT

ImprovingYour BI Roadmapwith Layers

Chris CurranPartner & CTO

4.6 billion

The Internet of Things

The Internet of Things

Common Space

Where’s a good place to eat sushi nearby?

How long will my flightbe delayed?

“Why Can’t I Get It On My iPhone?”

Copenhagen

Tallinn, Estonia

Changing of the GuardStockholm

Michelangelo’s The Crouching BoySt. Petersburg, Russia

4 hour train

Should we send the tour group to Moscow?

Business Decision

GoalsBe Safe

Manage RiskHappy Customers

InputsFire Status

Weather & WindsGovernment, NGO Advisories

Past ExperiencesCurrent Passenger Health

Recent Tour Operator Experiences

Image shared by mooney47 via Flikr

WeatherUnderground

Bloomberg, CNN, etc.

Russian Government

Russian Travel Forums

Google Maps as a Mental Model

What if….

WeatherTrain RoutesAdvisoriesToursOur Excursions

Fire Status

48hrs

And, What if….

Layers

Activity LevelHealth ProfileSatisfactionTours 48hrs

Decks OtherDeck PlanDecks 5-7

Mountain ViewMoscow OR

What are Layers?

A visual information system that combines

public and proprietary tools to present relevant

information in-context to decision makers

Why Layers?

Traditional Thinking

Starts with the Data

Requires Translation

Data Warehouses and Marts

Driven by large projects and enterprise-class systems

Layers Thinking

Starts with the Decision

Information In-Context

Data-driven Mashups

Rapid & Iterative; “permanent beta”

Who “Gets” Layers?

• Military• Scientists• Photoshop• Gaming• Marketers• Web 2.0

Entrepreneurs

PakReport.comPowered by Ushahidi

Demand EstimatorDiamond Management & Technology Consultants

Center for Future BankingMIT Media Lab

Interactive Floor PlanWestin Times Square

New York Nearest Subway iPhone App

2007 Ford FocusSalvage: $1,235

+

+

+

Hood: $875

Lamp: $320

Bmpr: $515

Body Shops

Policy Details

Claim Details

Curran, Christopher

+

Auto Claims AR Mock-Up

Pulse Social Media Sentiment AnalysisDiamond Management & Technology Consultants

3 Things You Can Do

1. Find a Layers Candidate

Low High

Decision Frequency

Low

High

StrategicImportance

Automate

Excel orLayers ??

Canned Reports +

People

2. Experiment

3. Build a Layer or Two

Dashboard Application

View

Application Library

TwitterWord Bank

Controller

Facebook Blogs Analytics

Twitter Facebook Blogs Digg

Web Browser

Digg

Application User Interface

User Inputs

Feeds (Hash)Sentiment Analysis (Counts)

User Inputs (keyword)

Feeds (JSON)Sentiment Analysis (Counts)

User Inputs (keyword)

HTTP Request

Feeds (JSON)

Input/Response structure remains the same or each data source

Test Words (Array)

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1. Decisions , not data

2. Push more data in-context

3. Triage your projects

4. Build a “layers” prototype

Summary

The Design of Designby Frederick Brooks

Change by Designby Tim Brown

Daemonby Daniel Suarez

cbcurran

chris.curran@diamondconsultants.com

CIO Dashboard Blogwww.ciodashboard.com

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