Building Smart Cities: The Data-Driven Way (Created For The Big 5 Construct 2016 Conference)

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    built for a presentation given at


  • Songdo

  • Songdo The future city of South Korea


    GPS-enabled traffic management

    Waste management

  • THE PROBLEM The problems of 2030 will be different from the

    problems of today.

  • Cities will need

    E-governance management

    Energy management

    Mobility management

    Waste management

    Water management

    Tele-education, tele-medicine, etc.

  • Some cities have already started

    Santander, Spain

    12,500 GPRS and RFID sensors; cut energy costs by 25%

    Copenhagen, Denmark

    Using real-time traffic data, personal GPS data, and weather data

    Finland (Enevo Ltd)

    Optimize waste collection routes using sensors; 50% cost reduction

    Dubuque, IA

    Smart water pilot by using smart metering; 6.6% savings

  • Any smart-city solution will have these four pillars

    Citizens Technology


  • Citizens lie at the heart of all these issues.


    A platform for government and citizens to come together and

    solve problems that matter.

  • Step 1: Turn local citizens into human sensors collecting data

  • Healthcare



    Water and sanitation



    Step 2: Turn government data into useful information

  • Citizen Government

    Analysis Platform

    Step 3: Connect the two using a common platform

  • THE OUTCOME All information is in one place.

    Everyone can find answers to their questions in various forms.

  • Query specific data

  • Track projects and generate specific reports

  • Find the healthiest route home in seconds

    Air Quality: 4.3

    Air Quality: 3.2

    Air Quality: 3.7

  • Allocate the budget where it is most needed

  • Close the loop with citizen feedback.

    Let us know whether this visualization was helpful for you.

    Give your feedback


    How this platform can help the construction industry

  • Using data to ensure that projects are delivered on time.


    Data from the site every day to understand project progress

    GPS track of the supplies to sites

    Sensors to help you understand machine status

    Quick reports at any given point

  • How do I plan for a project holistically?2

    Add open data for demographics, health, economics, etc.

    Layer with your own internal data

    Layer that data with weather data

    Understand the terrain & geography of the site

  • Understanding external factors to a project

    Getting a hold of the current business situation

    Predicting weather- related risks

    Planning for geographic constraints

    How do I plan for a project holistically?2

  • Predicting risks for your business3

    Time delays

    Resource shortages

    Financial risks

    Unplanned weather changes

    Cost-benefit mismatches

    Growth obstacles


    These steps can immediately boost current business.

  • Start small to get big data

    Use easy-to-use data collection systems to track what happens on construction sites every day.

    Track employee performance

    Resource utilization

    Machine status

  • Know your business environment

    Use existing data sources to understand what kind of potential or challenges your geography holds.



    Labor requirements

    Raw material availability

  • Track your business

    Understand the nuances of your business by making data from each department talk to each other.

    Project velocities

    Fund-consumption rates

    Funds utilization by geography

    Manpower-machine ratios


    Applications of a centralized data platform

  • Mapping public infrastructure issues to help mayor/local administrators allocate resources effectively

    21.5 million rupees allocated to fixing streetlights in Ranchi


  • Understanding where to invest in agriculture using 30+ open data sets2

  • Placing $95 IOT sensors on auto rickshaws to measure air quality3

  • Understanding where to open new LPG centers by understanding the market potential and social need of each village


  • 150+ Organizations

    7+ Countries

    40 million Primary data points

    1 billion Secondary data points

  • Thank You!