Big Data, Analytics & FM: From Lady GaGa to Workplace Management

Nancy Johnson Sanquist, IFMA Fellow, AIA AssociateManhattan Software, a Trimble Company

Data to Information to Knowledge to Wisdom

Agenda

• Introduction to NJS and Trimble Navigation• Introduction to Big Data and Analytics • Case Studies from Lady GaGa to Workplace• Future of Big Data and Analytics for FM and RE

4 | World Leading Real Estate & Facilities Management Software

Mar

ket P

lann

ing

Sup

ply

and

Dem

and

Pla

nnin

g

Cap

ital A

sset

Pla

nnin

g

Fina

ncia

l Man

agem

ent

Acq

uisi

tions

& D

ispo

sals

Leas

e M

anag

emen

t

Pro

ject

Man

agem

ent

Spa

ce P

lann

ing

&

Man

agem

ent

Ope

ratio

ns &

Mai

nten

ance

Sus

tain

abili

ty

Spa

ce S

ched

ulin

g

Ass

et M

anag

emen

t

Manhattan Functional Spectrum

ERP ERPERP

IWMS

CAFM

Specialist Systems / Point Solutions

FinSystems ProjectsLease 

Admin. O&MCADPAMGIS Excel ReserveCAP SRS AMS

Manhattan Real Estate Life Cycle

ERP

5 | World Leading Real Estate & Facilities Management Software

6 | World Leading Real Estate & Facilities Management Software

Gartner IWMS Magic Quadrant 2013-14

Lifecycle solutions

CONCEPT ENGINEERING & DESIGN ESTIMATING PROJECT

PLANNING CONSTRUCT OPERATE

Re-engineering levers:▪Provide real-time information for key stakeholders▪Connect field (actual) to the office (plan)▪Enable measurement of on-site progress to overall plan▪Streamline and integrate workflow processes▪Exchange data from construction phase to operate and manage phase▪Optimize building portfolio with analytics

Folie 7

7 We should consistently use plan, design, build,operateRagnar Wessman;

8 This workflow picture is consistent with other Trimble material (AG etc).Ragnar Wessman;

9 The text is too specific and does not work for all customer groups, I think.Ragnar Wessman;

The RE Life-Cycle

Trimble

My Analytics Background

Thomas Davenport

John Serri

1.

2.

3.

4.

It‘s all about the data

The Accelerating Pace of Innovation!!! 

Pre Industrial 

~750 years 

Industrial Period/Post War

Space Age

~200 years 

EarlyInformation AgeMainframe

PC~20 years

Internet , DNA,E‐commerceSmart Phones~20 years Information Revolution 

Phase 3?~ Last 3 years Trends:

SaaSMobility / APPS / DevicesBig Data / Analytics

Information Explosion!Exponential Volumes, New Connections, More sources

2014

2010

1990

19701750

Google(1999)

Information:Big Data & Analytics

PHYSICALPHYSICAL

VIRTUALVIRTUAL

Increase performance and innovation

Reduce costs

AssetsAssets

Mobile Devices

Internet of Everything

Nexus of Forces (Gartner)

+PlacesPlaces

Sustainable, Resilient, Agile, Schedulable

Mobility

Goodbye to…my guts tell me….

Big Data & Analytics

Welcome BIG DATA and ANALYTICS

The Sexiest Job in the 21st c.

Definition

“Using new technologies and methods to manipulate unprecedented amounts of data to provide more timely, precise, insightful and predictive information for business decisions and actions”

Robert MorrisonLead Faculty IIACo-Author with Tom Davenport

Analytics at Work

+ Visual, Variable, Veracity

Analytics 1.0

Analytics 2.0

In this changing world …

• Deep data mining has hit the music business• Meet Troy Carter of AtomFactory who created the

concept of Little Monsters• Mined the 31m Twitter & 51m Facebook followers

& ticket sales for big data• Created more targeted social media platform and

cut out middle men

The Queen of the Data Scientists: Lady GaGa

Big Data Disrupts Disaster Relief

Data and Analytics Questions

Are you asking the right questions?

… and are you asking the questions right?

Are you getting the right answers?

… are you ready for the next development?

We are all now data scientists

Data Curator

Analytics 3.0

Less well-known queen…

• Meet Dr. Pamela Peele, CAO of Univ. of Pittsburgh‘s Medical Center

• Background in gaming, economics and healthcare• Fired existing financial analysts and created big data and

analytics centralized organization (federated model)• Created a knowledge factory with team of epidemiologists,

physicians, physicists & math.• Plant foreman is industrial engineer• Most important member of team: JOURNALIST

Federated Model for Enterprise Analytics

No Mickey Mouse Analytics

Meet Mark Shafer, SVP of Revenue & Profit Management; head of Disney’s ‘data army’

120 analysts (30 w/PhDs) for business big data analysis in federated model

Able to take analytics work done in the cruise industry and apply it to a Broadway dynamic pricing model

Top grossing show due to secret algorithm

The Quantified Workplace

Buildings:   HVAC, Electrical and Mechanical SystemsPerformance for BMSBadging, RFID, Video, SecurityLAN/WIFI usage/position locationUtilization/presenceSensorsOperations & maintenanceBIM dataWellnessTCO

People: Movement/locationInteractions/behaviourHealth & wellnessPerformance

Economic:    Real‐time pricingReal‐time supply and demandMarket dataSite location analysis

It’s all about the DATA

The Digital Workplace

Internet of Things

BIM Big Data

People in the Workplace

NEW DEVELOPER, NEW WELLNESS STANDARD for ALL WORKPLACES

Why does FM & RE care?

From Basement Bob To Data Darrell

The Digital Worker

Sara H. Steinbauer, PMP

• Managing Director of Information Services at NELSON

• Focused on delivering technical expertise, industry knowledge and information solutions to drive high performance portfolios

• Big data and analytics specialties include:

• BIM in FM for As-Built Lifecycle Management

• Digital Visualization Services & Revit Content Creation

• Data Analytics and Visualization Solutions supporting service delivery excellence

Data Scientist for FM

Sara H. Steinbauer, DL

“Data gives me the power to make better decisions and take action with confidence.”

I

data

Vita KanData Manager, Global Real Estate,Motorola Solutions Inc.

18 years in software development, systems engineering and solutions architecture.

4 years with Motorola Solutions Real Estate team focusing on real estate data management tools, software solutions and data analytics.

Analytics Philosophy:

• More data available to more people at a faster pace became a norm for business landscape.

• Ability to make strategic business decisions with confidence comes with quality data, effective processes, and smart platform.

Meet another RE Analyst

Aspects of Data Analysis

Transactions Strategic Planning

Occupancy Planning

Facility Management

103

2

1

1215

11

2

2576

RenewalDisposit…Relocat…Acquisit…

ExpirationRenew…

Disposit…Internal

Completed

0

5.000.000

10.000.000

15.000.000Operating costs and utility trends

Space and Occupancy metrics

Transactions and lease costs

Portfolio analysis

Location Analytics

Capital Asset Planning

Mobile IntelligenceSite ViewerSite Viewer

Benefits• Untethered access• Full security• Real‐time Information• Flexible interrogation• Seamless move from reports to updates

Benefits• Untethered access• Full security• Real‐time Information• Flexible interrogation• Seamless move from reports to updates

Interactive Visualization

Benefits• Graphical Insights• Flexible Queries• Layers of Information

Benefits• Graphical Insights• Flexible Queries• Layers of Information

CAD‐based InterrogationCAD‐based Interrogation

Supply & Demand Analysis

Interactive Visualization

Benefits• Graphical Insights• Flexible Queries• Layers of Information

Benefits• Graphical Insights• Flexible Queries• Layers of Information

GIS‐based InterrogationGIS‐based Interrogation

Utilization Analysis

Energy Analysis

RE & Workplace Analytics

56

• Insight by Building, Region, City– Improved Performance Against 

Benchmarks– Real time measurements of  Facility 

Usage – Occupant Feedback on Facility– By Building, City. Region– TCO trends and comparisons– Reactive and Preventative Trends

• Actions– Reduce TCO in Building– Improve User Satisfaction– Improve Maintenance Programs– Reduce Response Time– Improve  Sustainability 

• Challenges– Unavailability of Data Talent– Data completeness and Quality –

Lack of Standards– Voluminous Information– Large Solution Space

Sources

Help DeskEmail

Help DeskEmail

SensorsSensors

Benchmarking Services

Benchmarking Services

FEMAWeatherFEMA

Weather

Utilities Utilities 

Twitter, Facebook,Google 

Twitter, Facebook,Google 

OA&MSystemOA&MSystem

TCO, Sustainability Occupancy Insights

TCO, Sustainability Occupancy Insights

TCO Forecasts/ Targets

TCO Forecasts/ Targets

SustainabilityForecast and

Targets

SustainabilityForecast and

Targets

SolutionsSolutions

RE & Workplace Analytics

What does analytics mean to Sara & Vita?

Data Completeness: Know your buildings and costs

Data Analysis: Know your occupancy and vacancy, allocate cost based on SFT, manage lease events

Data based decisions: Know your poor and strong performers, utilize market trends and “what if” scenarios, understand company trends and growth opportunities

Data based strategy:Know your metrics and benchmarks,  make strategic decisions to optimize utilization and cost, streamline mergers and acquisitions, 

Facility Management

Projects Management

Occupancy Planning

Lease Administration

Vendor Management

Strategic Planning

Communications

Report with confidence

Plan with confidence

Forecast with confidence

Optimize with confidence

Future of Analytics for FM/RE

FM: Third Wave of BIMBIM Transformation from a Multi-dimensional Model to the Business Database for Building Assets

Project Tango

Project Tango

Operate: Smart Assets

Use: Smart

Workplaces

Share:Smart Cities

Operations

Workforce

PopulationUrban FM

FM and Urban Analytics

City of Antwerp: event facilities

• Selection & reservation servicesfor all citizens and organizations

• Approx 1000 facilities• Public, enterprise, private

Resilience planning…

Neighborhood Analytics

Quantified Community

Network Analysis

Street Analytics

Transportation Analytics

People Analytics

Person of InterestTV Show

Digital & Physical Workplace

Who defines workplace analytics? Who controls it? Who owns it?

FM CRE

HR IT

DataWorkplaceStrategist

SPACE

Work Practice

Space Organization

Finance Technology

Building Analytics 3.0

Next Steps• Today – Start Thinking about what to do in your organization• Monday Morning November 24

- Inventory existing and potential sources of Big Data relevantto your real estate and FM activities

• Next 90 Days- Establish a ‘data scientist’ tiger team to consult with the

C-level and business units on Big Data and advancedanalytics opportunities

- Identify at least one analytic idea from outside our industry to adopt and adapt

• Next 12 Months- Refocus investments and resources away from traditional

reporting and toward diagnostic, predictive and prescriptive analytics

- Establish methods for quantifying information’s potential and accurate value to the business

Dankeshon!!!