SlideShare uma empresa Scribd logo
1 de 73
Baixar para ler offline
Using big data in
product design
Executive Director
Jesper N. Pedersen
​ The challenge – is Big data a Big thing?
​ Danish Innovation approach
1.  Product innovation
2.  New online services
3.  Smart city
​ Lessons learned
Agenda
​ Jesper Nørding Pedersen.
​ Executive director & Partner
Advice
jesper.p@adviceas.dk
Wo we are
Some of our clients
​ Big data is like teenage sex
​ Everybody is talking about it
​ Everyone says that they are doing it
​ Nobody has really tried it
The hype
The reality – we have the powerTransistor count
Year
And we can now
understand the world
by algorithm
But to use data
we have to
understand our
perspective.
What are we
looking at, and
what are we
trying to solve?
© shaunaxton.com
Inefficient use of
ressources
(96% of the time, cars
stand still)
© https://www.flickr.com/photos/dfataustralianaid/16815302096/
Provide better
health care
Be more
effective
Create new
experiences?
The data points are increasing.
Internet of things is changing
our understanding of the real
world
13
Benefits
Creating an
overview of
own data
sources
Optimization
by combining
own and
external data
Data driven
innovation
Expanded
business
areas
Typical effects
Productivity
profits
Customer
segmentation
Inventory optimization
Better pricing
opportunities
Additional
sales
New services
Faster product
development
Intelligent concepts
Selling data
New businesses
Figure 2: Benefits related to big data and data driven business development. Source: IRIS Group
14
How is Denmark
facing this
challenge?
Denmark
6millionpeople
EUmembersince1972
Thehappiestpeopleintheworld
Because of our size
we are dependent on
exports and
innovation
© World Economic Forum
Information Technology Index 2015
© World Economic Forum
Information Technology Index 2015
Danish
innovation
approach
20th century
product
innovation
+ Hardware
Engineering
20th century
product
innovation
+ design
20th century
product innovation
+ User Experience
So, if innovation is based
on big data.
How do we compeed in
2020?
23
Two kinds of business in Denmark
•  Start-ups (2 types)
•  Analysis and Consulting Companies
•  Innovative start-ups who has had success with the use of (public) data.
•  Larger Corporations
•  With existing large scale Business Intelligence departments, such as
Vestas, Lego, Grundfoss, Mærsk, etc..
Front-runners
Source: Danish Business Authority report (2013); Potentials and Barriers of Big Data in Business Development.
24
4 Main drivers
Data & Technology
New business
models
Accelerating competition
Digitization Data driven business
development
Figure 1: Big Data and datadriven business development – the most important drivers. Source: IRIS Group
Government as enabler:
Free open core data
26
Public data is great business
Net provenue
Free open data
Private sector
Government sector
27
People Business
Property
Adresses,
roads, areas
Maps &
geolocation
Core data v.1
Three main areas of big
data innovation
Product design
New online services
Smart city
Danish product innovation
case
Product innovation based on structured and
non-structured data on online usageLEGO
12.000
Employees
13 %
Revenue growth 2014
Source: LEGO Group Annual Report 2014
more than:
130Countries
case
LEGO
INTENTION à ATTENTION
ABILITY TO CHANGE
AWARENESS
•  Social networks
•  Lego.com online
community
•  Special LEGO user
groups (55.000 members)
•  Interaction with lead users
•  Online Sentiment Analysis
•  LEGO Universe (online
gaming)
case Using big data to choose location of major
windmill sites & bringing data and insights to
the windmill owners.VESTAS
Courtesy of Vestas Wind Systems A/S
47.000
wind turbines
70
countries
90 mio
MWh pr year
33
Vestas invested in the super computer
FIRESTORM, which gather data from:
•  35.000 public weather stations world wide
•  More than 150 different parameters every 6th hour
•  Individual wind turbine’s performance (SCADA)
•  Production charts
•  Event and alarm notifications
•  Performance and power curve reports
•  Point of common coupling measurements
Case: Vestas
Data sources
From big data
to big business
case An app that enables users to measure wind speed at
their location. The app uses a plug-in wind meter, with
sensors that makes 40.000 measurements per second.Vaavud – design to collect data
case An app that enables users to measure wind speed at
their location. The app uses a plug-in wind meter, with
sensors that makes 40.000 measurements per second.Vaavud
37
•  The data is produced by the users and every
measurement is shared via the app
•  Data from build in barometers in most newer
smartphones
•  Creates a high-resolution local weather forecast
Data sources
case An app that enables users to measure wind speed at
their location. The app uses a plug-in wind meter, with
sensors that makes 40.000 measurements per second.Vaavud
case
Novo Nordisk - Indonesia
Preventing diabetes
Public-private partnership between Ministry of Health,
Malaysia, pharma-company Novo Nordisk, University of
Witwatersrand in Johannesburg, University of
Southampton, Steno Diabetes Centre in Denmark – and
Advice
JOM Mama
Preventing diabetes
in young couples by
helping them to a
healthier llifestyle.
After a visit to the
nurse the couple
downloads an app
with daily challenges
Nurses are able
to monitor use of
app between
visits and can
make necessary
motivational calls
Scientists get
access to data
from app and
nurses’ journals
in order to
analyse
behavioral
patterns
New online services
case
commercial web portal using public open data to create
new ways of buy/sell real estate.Boliga.dk
•  Residences demurrage
•  Price changes
•  The geographical outline
•  A number of general trends in the
housing market
•  What is for sale or has been
offered / sold in a given area and
at what prices
•  Prices similar homes have been
sold for
Filtering options:
•  Districts
•  Characteristics
•  Prices
Statistics on:
•  Average prices per m2
•  Biggest price changes
•  Most and least expensive real
estates within a certain area
42
•  Collects data from real estates on the market
•  Collaboration with regular estate agencies
•  Automation of data collection
•  Public Innovation Service (OIS)
Case: Boliga.dk
How?
43
•  The open data source “Building and Housing
Register” (BBR) which is offered by the Public
Innovation Service (OIS).
•  Covers: Area, Location, Use, Installations, Water and drainage conditions,
kitchen facilities, wall- and roof materials, annual rent, etc.
•  Estate agencies own data about price and price
changes, how long the item has been on the
market, etc.
Case: Boliga.dk
Data sources
case
commercial web portal using public open data to create
new ways of buy/sell real estate.Boliga.dk
case
commercial web portal using public open data to create
new ways of buy/sell real estate.Boliga.dk
46
Potential types of public open data in the future
•  Pollution
•  School ratings
•  Crime statistics
•  Risk analysis’s (eg. water damage reports)
Case: Boliga.dk
Possibilities
case NemHandel is an open e-business framework which
allows businesses to send standardised electronic
invoices directly from their PC via the internet in a secure
and reliable fashion.NemHandel (EasyTrade)
48
•  Replaces less cost-effective solutions, such as
paper invoices.
•  Reduce administrative burdens
•  Connectivity across Europe
•  Based on experience with NemHandel Denmark has played an active role
in the design, development and implementation of OpenPEPPOL (Pan-
European Public Procurement Online)
Effective invoice system
49
•  Legislation & cooperation with business
organisations
•  Reduce administrative burdens
•  More than 28 % of Danish Businesses uses
NemHandel (2013)
•  Connectivity across Europe
•  Based on experience with NemHandel Denmark has played an active role
in the design, development and implementation of OpenPEPPOL (Pan-
European Public Procurement Online)
Mandatory e-invoicing
50
NHR (NemHandelRegister / EasyTradeRegister)
is a data base of all NemHandel registered
recipients.
Case: Rejseplanen.dk
Data source
case MinBilDinBil is a car renting company, that allows private
people to rent their cars to other private people. Uses
open data for business development, marketing, etc.MinBilDinBil (MyCarYourCar)
52
•  Mortorregistret (Danish Vehicle Register)
•  Statistics Denmark
Data set from the municipality of Copenhagen:
•  The Copenhagen Map
•  Copenhagen Data
Case: Rejseplanen.dk
Data sources
Smart cities
case Aarhus is the second largest city in Denmark. The
municipality has released a lot of different open data sets
to improve the city.Open Data Aarhus
case The map shows how well the traffic is flowing right now. It
is based on data from OpenStreetMap and real-time
traffic data taken from the www.odaa.dkAarhus
case
Traffic intensity in relation to recreational areas. Made
with open data from odaa.dkAarhus
case Odense is the third largest city in Denmark. The
municipality has released a lot of different open data sets
to improve the city.Odense DataPlatform
case
Web service that tells how many parking lots there are,
and how many of them are vacant.Public parking lots
case
Web service that tells how many parking lots there are,
and how many of them are vacant.Public parking lots
case
App that uses open data to help users find the nearest
public lavatory facility.Public Lavatory
case
Copenhagen is the capital of Denmark and the
municipalities has also released a lot of open data sets.Copenhagen Data
case
Copenhagen has an automatic alarm system when it’s
not recommended to swim in the harbours.
Water Quality for outdoor
swimming
case
Copenhagen has an automatic alarm system when it’s
not recommended to swim in the harbours.
Water Quality for outdoor
swimming
Lessons learned:
Data driven
business
development
65
Research show big economical potentials in
strategic data driven business development
Companies that uses big data performs 5-6% better
by income than companies that do not use big
data.
McAfee og Brynjolfsson (2012); ”Big Data: The Management
Revolution” i Harvard Business Review
Big business
Source: Danish Business Authority report (2013); Potentials and Barriers of Big Data in Business Development.
66
Volume
The large and exponentially increasing amounts of data generated and stored every second of
businesses, citizens and authorities.
Velocity
The increasing speed in which data can be stored and analysed - partly because of developments
in computing power of large computers.
Variety
The increasing number of data sources that are available for businesses, which can be easily
collected and communicated through services such as broadband and mobile technologies. Data
come from computers in production, sensors, social media, customers, traffic on the company's
website, text files from the Internet, digital cameras, public data sources, etc.
Big Data - The 3 V’s
Source: Danish Business Authority report (2013); Potentials and Barriers of Big Data in Business Development.
67
Benefits
Creating an
overview of
own data
sources
Optimization
by combining
own and
external data
Data driven
innovation
Expanded
business
areas
Typical effects
Productivity
profits
Customer
segmentation
Inventory optimization
Better pricing
opportunities
Additional
sales
New services
Faster product
development
Intelligent concepts
Selling data
New businesses
Figure 2: Benefits related to big data and data driven business development. Source: IRIS Group
68
Just the beginning
For a few companies in Denmark the positive
effects of using big data is starting to show.
But the socio-economic benefits are still relatively
small.
Data driven business development is an important
factor to increase productivity.
Source: Danish Business Authority report (2013); Potentials and Barriers of Big Data in Business Development.
69
Potentials
0,7 %
yearly increase in
productivity in the
life science sector
McKinsey Global Institute (2011) ; ”Big data: The next frontier for innovation, competition and productivity”.
70
Potentials
up to:
50 %
reduction of production cost
in product development
McKinsey Global Institute (2011) ; ”Big data: The next frontier for innovation, competition and productivity”.
71
Barriers
Data
availability
Competences
Legislation
and security
Financial
ressources
Lack of
knowledge
Ø  Framework for big data
in existing companies
Ø  Terms and conditions
for new data-driven
start-ups
Figure 3: Figure of key barriers to exploitation and dissemination of big data and data-driven development . Source: IRIS Group
72
1.  Start a big data campaign
2.  Strengthen big data throughout the education
system.
3.  Better access to public data
4.  Safe and legal use of personal data
5.  Establish big data start-up programs
5 Recommendations
Source: Danish Business Authority report (2013); Potentials and Barriers of Big Data in Business Development.
​ Jesper Nørding Pedersen.
​ Executive director & Partner
Advice
jesper.p@adviceas.dk
Wo we are
Some of our clients

Mais conteúdo relacionado

Mais procurados

Digital and Green Transformation
Digital and Green Transformation Digital and Green Transformation
Digital and Green Transformation Soren Gigler
 
Open Data-Driven Innovation and Smart Cities_Open Data Business Model and Pat...
Open Data-Driven Innovation and Smart Cities_Open Data Business Model and Pat...Open Data-Driven Innovation and Smart Cities_Open Data Business Model and Pat...
Open Data-Driven Innovation and Smart Cities_Open Data Business Model and Pat...Fatemeh Ahmadi
 
Big data insights part i
Big data insights   part iBig data insights   part i
Big data insights part iRaji Gogulapati
 
Ec, Olavi Luotonen, Barcelona, 26 March 2010
Ec, Olavi Luotonen, Barcelona, 26 March 2010Ec, Olavi Luotonen, Barcelona, 26 March 2010
Ec, Olavi Luotonen, Barcelona, 26 March 2010Citilab Cornella
 
Ibm and open data final
Ibm and open data finalIbm and open data final
Ibm and open data finalloredanasales
 
Digital as an enabler for climate action
Digital as an enabler for climate actionDigital as an enabler for climate action
Digital as an enabler for climate actionSoren Gigler
 
Enabling the twin transition to a sustainable and digital economy
Enabling the twin transition to a sustainable and digital economy Enabling the twin transition to a sustainable and digital economy
Enabling the twin transition to a sustainable and digital economy Soren Gigler
 
151111 BASE ELN 151112 CIO Big Data Collaboration
151111 BASE ELN 151112 CIO Big Data Collaboration151111 BASE ELN 151112 CIO Big Data Collaboration
151111 BASE ELN 151112 CIO Big Data CollaborationDr. Bill Limond
 
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate Oomph! Recruitment
 
Paulo Canas Rodrigues - The role of Statistics in the Internet of Things - ...
Paulo Canas Rodrigues - The role of Statistics  in the  Internet of Things - ...Paulo Canas Rodrigues - The role of Statistics  in the  Internet of Things - ...
Paulo Canas Rodrigues - The role of Statistics in the Internet of Things - ...Mindtrek
 
Open data & the city, a democratisation of urban data
Open data & the city, a democratisation of urban dataOpen data & the city, a democratisation of urban data
Open data & the city, a democratisation of urban dataPRIME
 
HEC Digital Business. E-commerce
HEC Digital Business. E-commerceHEC Digital Business. E-commerce
HEC Digital Business. E-commerceAndré Blavier
 
How digital challenges are changing the role of media and publishing companie...
How digital challenges are changing the role of media and publishing companie...How digital challenges are changing the role of media and publishing companie...
How digital challenges are changing the role of media and publishing companie...Digibiz'09 Conference
 
Malaysia's Digital Economy: ICT
Malaysia's Digital Economy: ICTMalaysia's Digital Economy: ICT
Malaysia's Digital Economy: ICTZiaullah Mirza
 
Chris Gobby: Getting the most out of Data
Chris Gobby: Getting the most out of DataChris Gobby: Getting the most out of Data
Chris Gobby: Getting the most out of DataEdge Global Media Group
 
Collaboraton Across Digital Industries Competition - Maurizio Pilu, TSB
Collaboraton Across Digital Industries Competition - Maurizio Pilu, TSBCollaboraton Across Digital Industries Competition - Maurizio Pilu, TSB
Collaboraton Across Digital Industries Competition - Maurizio Pilu, TSBChinwag
 

Mais procurados (16)

Digital and Green Transformation
Digital and Green Transformation Digital and Green Transformation
Digital and Green Transformation
 
Open Data-Driven Innovation and Smart Cities_Open Data Business Model and Pat...
Open Data-Driven Innovation and Smart Cities_Open Data Business Model and Pat...Open Data-Driven Innovation and Smart Cities_Open Data Business Model and Pat...
Open Data-Driven Innovation and Smart Cities_Open Data Business Model and Pat...
 
Big data insights part i
Big data insights   part iBig data insights   part i
Big data insights part i
 
Ec, Olavi Luotonen, Barcelona, 26 March 2010
Ec, Olavi Luotonen, Barcelona, 26 March 2010Ec, Olavi Luotonen, Barcelona, 26 March 2010
Ec, Olavi Luotonen, Barcelona, 26 March 2010
 
Ibm and open data final
Ibm and open data finalIbm and open data final
Ibm and open data final
 
Digital as an enabler for climate action
Digital as an enabler for climate actionDigital as an enabler for climate action
Digital as an enabler for climate action
 
Enabling the twin transition to a sustainable and digital economy
Enabling the twin transition to a sustainable and digital economy Enabling the twin transition to a sustainable and digital economy
Enabling the twin transition to a sustainable and digital economy
 
151111 BASE ELN 151112 CIO Big Data Collaboration
151111 BASE ELN 151112 CIO Big Data Collaboration151111 BASE ELN 151112 CIO Big Data Collaboration
151111 BASE ELN 151112 CIO Big Data Collaboration
 
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
 
Paulo Canas Rodrigues - The role of Statistics in the Internet of Things - ...
Paulo Canas Rodrigues - The role of Statistics  in the  Internet of Things - ...Paulo Canas Rodrigues - The role of Statistics  in the  Internet of Things - ...
Paulo Canas Rodrigues - The role of Statistics in the Internet of Things - ...
 
Open data & the city, a democratisation of urban data
Open data & the city, a democratisation of urban dataOpen data & the city, a democratisation of urban data
Open data & the city, a democratisation of urban data
 
HEC Digital Business. E-commerce
HEC Digital Business. E-commerceHEC Digital Business. E-commerce
HEC Digital Business. E-commerce
 
How digital challenges are changing the role of media and publishing companie...
How digital challenges are changing the role of media and publishing companie...How digital challenges are changing the role of media and publishing companie...
How digital challenges are changing the role of media and publishing companie...
 
Malaysia's Digital Economy: ICT
Malaysia's Digital Economy: ICTMalaysia's Digital Economy: ICT
Malaysia's Digital Economy: ICT
 
Chris Gobby: Getting the most out of Data
Chris Gobby: Getting the most out of DataChris Gobby: Getting the most out of Data
Chris Gobby: Getting the most out of Data
 
Collaboraton Across Digital Industries Competition - Maurizio Pilu, TSB
Collaboraton Across Digital Industries Competition - Maurizio Pilu, TSBCollaboraton Across Digital Industries Competition - Maurizio Pilu, TSB
Collaboraton Across Digital Industries Competition - Maurizio Pilu, TSB
 

Destaque

Warc’s Toolkit 2016 Summary
Warc’s Toolkit 2016 SummaryWarc’s Toolkit 2016 Summary
Warc’s Toolkit 2016 SummaryFilipp Paster
 
How it was? Offf 2015
How it was? Offf 2015How it was? Offf 2015
How it was? Offf 2015SHISHKI
 
Barometer 2016: Social and economic performance of French digital business st...
Barometer 2016: Social and economic performance of French digital business st...Barometer 2016: Social and economic performance of French digital business st...
Barometer 2016: Social and economic performance of French digital business st...EY
 
9 Trends That Will Shape Digital Marketing in 2016
9 Trends That Will Shape Digital Marketing in 20169 Trends That Will Shape Digital Marketing in 2016
9 Trends That Will Shape Digital Marketing in 2016Webrepublic
 
How to write a business plan
How to write a business planHow to write a business plan
How to write a business planTony Osime
 
2017 Social Media & Content Marketing Predictions from 70 Marketing Leaders
2017 Social Media & Content Marketing Predictions from 70 Marketing Leaders 2017 Social Media & Content Marketing Predictions from 70 Marketing Leaders
2017 Social Media & Content Marketing Predictions from 70 Marketing Leaders Bryan Kramer
 
Top 22 Trends in Digital Marketing for 2017
Top 22 Trends in Digital Marketing for 2017Top 22 Trends in Digital Marketing for 2017
Top 22 Trends in Digital Marketing for 2017KEO Marketing Inc
 
Шаблон инвестиционной презентации ver. 1.3 (ФРИИ edition)
Шаблон инвестиционной презентации ver. 1.3 (ФРИИ edition)Шаблон инвестиционной презентации ver. 1.3 (ФРИИ edition)
Шаблон инвестиционной презентации ver. 1.3 (ФРИИ edition)Ilya Korolev
 
PSFK Future of Retail 2016 Summary Report
PSFK Future of Retail 2016 Summary ReportPSFK Future of Retail 2016 Summary Report
PSFK Future of Retail 2016 Summary ReportPSFK
 
Social Media Trends 2017
Social Media Trends 2017Social Media Trends 2017
Social Media Trends 2017Chris Baker
 
Fittr Pitch Deck
Fittr Pitch DeckFittr Pitch Deck
Fittr Pitch Decknolanperk
 
The Deck We Used to Raise $1M Seed Round
The Deck We Used to Raise $1M Seed RoundThe Deck We Used to Raise $1M Seed Round
The Deck We Used to Raise $1M Seed RoundBen Lang
 
Dwolla Startup Pitch Deck
Dwolla Startup Pitch DeckDwolla Startup Pitch Deck
Dwolla Startup Pitch DeckJoseph Hsieh
 
Digital Trends in 2017: Making Business Impact in a Changing World
Digital Trends in 2017: Making Business Impact in a Changing WorldDigital Trends in 2017: Making Business Impact in a Changing World
Digital Trends in 2017: Making Business Impact in a Changing WorldEdelman
 

Destaque (18)

Warc’s Toolkit 2016 Summary
Warc’s Toolkit 2016 SummaryWarc’s Toolkit 2016 Summary
Warc’s Toolkit 2016 Summary
 
How it was? Offf 2015
How it was? Offf 2015How it was? Offf 2015
How it was? Offf 2015
 
Sport1 digital marketing_summary_2016
Sport1 digital marketing_summary_2016Sport1 digital marketing_summary_2016
Sport1 digital marketing_summary_2016
 
Barometer 2016: Social and economic performance of French digital business st...
Barometer 2016: Social and economic performance of French digital business st...Barometer 2016: Social and economic performance of French digital business st...
Barometer 2016: Social and economic performance of French digital business st...
 
9 Trends That Will Shape Digital Marketing in 2016
9 Trends That Will Shape Digital Marketing in 20169 Trends That Will Shape Digital Marketing in 2016
9 Trends That Will Shape Digital Marketing in 2016
 
How to write a business plan
How to write a business planHow to write a business plan
How to write a business plan
 
2017 Social Media & Content Marketing Predictions from 70 Marketing Leaders
2017 Social Media & Content Marketing Predictions from 70 Marketing Leaders 2017 Social Media & Content Marketing Predictions from 70 Marketing Leaders
2017 Social Media & Content Marketing Predictions from 70 Marketing Leaders
 
Top 22 Trends in Digital Marketing for 2017
Top 22 Trends in Digital Marketing for 2017Top 22 Trends in Digital Marketing for 2017
Top 22 Trends in Digital Marketing for 2017
 
Шаблон инвестиционной презентации ver. 1.3 (ФРИИ edition)
Шаблон инвестиционной презентации ver. 1.3 (ФРИИ edition)Шаблон инвестиционной презентации ver. 1.3 (ФРИИ edition)
Шаблон инвестиционной презентации ver. 1.3 (ФРИИ edition)
 
PSFK Future of Retail 2016 Summary Report
PSFK Future of Retail 2016 Summary ReportPSFK Future of Retail 2016 Summary Report
PSFK Future of Retail 2016 Summary Report
 
Key Digital Trends for 2016
Key Digital Trends for 2016Key Digital Trends for 2016
Key Digital Trends for 2016
 
Social Media Trends 2017
Social Media Trends 2017Social Media Trends 2017
Social Media Trends 2017
 
Fittr Pitch Deck
Fittr Pitch DeckFittr Pitch Deck
Fittr Pitch Deck
 
The Deck We Used to Raise $1M Seed Round
The Deck We Used to Raise $1M Seed RoundThe Deck We Used to Raise $1M Seed Round
The Deck We Used to Raise $1M Seed Round
 
Dwolla Startup Pitch Deck
Dwolla Startup Pitch DeckDwolla Startup Pitch Deck
Dwolla Startup Pitch Deck
 
Manpacks
ManpacksManpacks
Manpacks
 
Digital Trends in 2017: Making Business Impact in a Changing World
Digital Trends in 2017: Making Business Impact in a Changing WorldDigital Trends in 2017: Making Business Impact in a Changing World
Digital Trends in 2017: Making Business Impact in a Changing World
 
Digital in 2017 Global Overview
Digital in 2017 Global OverviewDigital in 2017 Global Overview
Digital in 2017 Global Overview
 

Semelhante a Using Big Data for Product & Service Innovation

Ordnance Survey and Linked Data
Ordnance Survey and Linked Data Ordnance Survey and Linked Data
Ordnance Survey and Linked Data Talis Consulting
 
P. Struijs, Toward the Use of Big Data for European Statistics
P. Struijs, Toward the Use of Big Data for European StatisticsP. Struijs, Toward the Use of Big Data for European Statistics
P. Struijs, Toward the Use of Big Data for European StatisticsIstituto nazionale di statistica
 
Data-Driven Innovation & Competitive Advantage
Data-Driven Innovation & Competitive AdvantageData-Driven Innovation & Competitive Advantage
Data-Driven Innovation & Competitive AdvantageMartin De Saulles
 
Encuentro Aporta 2014 - Mesa 6 - Elisa Martín
Encuentro Aporta 2014 - Mesa 6 - Elisa MartínEncuentro Aporta 2014 - Mesa 6 - Elisa Martín
Encuentro Aporta 2014 - Mesa 6 - Elisa MartínDatos.gob.es
 
Smart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open DataSmart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open DataOpen Knowledge Belgium
 
Managing the Impact of COVID-19 Using Data Virtualization
Managing the Impact of COVID-19 Using Data VirtualizationManaging the Impact of COVID-19 Using Data Virtualization
Managing the Impact of COVID-19 Using Data VirtualizationDenodo
 
Building blocks for fair digital society
Building blocks for fair digital societyBuilding blocks for fair digital society
Building blocks for fair digital societySitra / Hyvinvointi
 
Smart Data Module 1 introduction to big and smart data
Smart Data Module 1 introduction to big and smart dataSmart Data Module 1 introduction to big and smart data
Smart Data Module 1 introduction to big and smart datacaniceconsulting
 
Business Transformation Agency
Business Transformation Agency Business Transformation Agency
Business Transformation Agency SOLA_Group
 
Peter Bjørn Larsen - Öresund Smart City Hub
Peter Bjørn Larsen - Öresund Smart City HubPeter Bjørn Larsen - Öresund Smart City Hub
Peter Bjørn Larsen - Öresund Smart City HubBigDataViz
 
100%Open - Autumn Union - feat. Department for Transport - "Digital Mobility:...
100%Open - Autumn Union - feat. Department for Transport - "Digital Mobility:...100%Open - Autumn Union - feat. Department for Transport - "Digital Mobility:...
100%Open - Autumn Union - feat. Department for Transport - "Digital Mobility:...David Simoes-Brown
 
D2-5_BIG DATA EmilianoAnzellotti_v2 [
D2-5_BIG DATA EmilianoAnzellotti_v2 [D2-5_BIG DATA EmilianoAnzellotti_v2 [
D2-5_BIG DATA EmilianoAnzellotti_v2 [Emiliano Anzellotti
 
Big Data Analytics in Transportation
Big Data Analytics in TransportationBig Data Analytics in Transportation
Big Data Analytics in TransportationRandeep Sudan
 
Europe rules – making the fair data economy flourish
Europe rules – making the fair data economy flourishEurope rules – making the fair data economy flourish
Europe rules – making the fair data economy flourishSitra / Hyvinvointi
 
National Big Data Analytics (BDA) Initiative - //bina/ 2014 conference
National Big Data Analytics (BDA) Initiative - //bina/ 2014 conferenceNational Big Data Analytics (BDA) Initiative - //bina/ 2014 conference
National Big Data Analytics (BDA) Initiative - //bina/ 2014 conferencePeter Kua
 
Software libre en la banca - Experiencias del grupo Santander con OSS
Software libre en la banca - Experiencias del grupo Santander con OSSSoftware libre en la banca - Experiencias del grupo Santander con OSS
Software libre en la banca - Experiencias del grupo Santander con OSSLibreCon
 

Semelhante a Using Big Data for Product & Service Innovation (20)

Ordnance Survey and Linked Data
Ordnance Survey and Linked Data Ordnance Survey and Linked Data
Ordnance Survey and Linked Data
 
P. Struijs, Toward the Use of Big Data for European Statistics
P. Struijs, Toward the Use of Big Data for European StatisticsP. Struijs, Toward the Use of Big Data for European Statistics
P. Struijs, Toward the Use of Big Data for European Statistics
 
Data-Driven Innovation & Competitive Advantage
Data-Driven Innovation & Competitive AdvantageData-Driven Innovation & Competitive Advantage
Data-Driven Innovation & Competitive Advantage
 
Encuentro Aporta 2014 - Mesa 6 - Elisa Martín
Encuentro Aporta 2014 - Mesa 6 - Elisa MartínEncuentro Aporta 2014 - Mesa 6 - Elisa Martín
Encuentro Aporta 2014 - Mesa 6 - Elisa Martín
 
Smart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open DataSmart Flanders: Tackling urban challenges through Open Data
Smart Flanders: Tackling urban challenges through Open Data
 
Point de vue n° 28 - english
Point de vue n° 28 - englishPoint de vue n° 28 - english
Point de vue n° 28 - english
 
Managing the Impact of COVID-19 Using Data Virtualization
Managing the Impact of COVID-19 Using Data VirtualizationManaging the Impact of COVID-19 Using Data Virtualization
Managing the Impact of COVID-19 Using Data Virtualization
 
Building blocks for fair digital society
Building blocks for fair digital societyBuilding blocks for fair digital society
Building blocks for fair digital society
 
Smart Data Module 1 introduction to big and smart data
Smart Data Module 1 introduction to big and smart dataSmart Data Module 1 introduction to big and smart data
Smart Data Module 1 introduction to big and smart data
 
Business Transformation Agency
Business Transformation Agency Business Transformation Agency
Business Transformation Agency
 
Peter Bjørn Larsen - Öresund Smart City Hub
Peter Bjørn Larsen - Öresund Smart City HubPeter Bjørn Larsen - Öresund Smart City Hub
Peter Bjørn Larsen - Öresund Smart City Hub
 
100%Open - Autumn Union - feat. Department for Transport - "Digital Mobility:...
100%Open - Autumn Union - feat. Department for Transport - "Digital Mobility:...100%Open - Autumn Union - feat. Department for Transport - "Digital Mobility:...
100%Open - Autumn Union - feat. Department for Transport - "Digital Mobility:...
 
D2-5_BIG DATA EmilianoAnzellotti_v2 [
D2-5_BIG DATA EmilianoAnzellotti_v2 [D2-5_BIG DATA EmilianoAnzellotti_v2 [
D2-5_BIG DATA EmilianoAnzellotti_v2 [
 
Big Data Analytics in Transportation
Big Data Analytics in TransportationBig Data Analytics in Transportation
Big Data Analytics in Transportation
 
Datapreneurs
DatapreneursDatapreneurs
Datapreneurs
 
Lessons from Canada’s First Open Data Exchange
Lessons from Canada’s First Open Data ExchangeLessons from Canada’s First Open Data Exchange
Lessons from Canada’s First Open Data Exchange
 
Europe rules – making the fair data economy flourish
Europe rules – making the fair data economy flourishEurope rules – making the fair data economy flourish
Europe rules – making the fair data economy flourish
 
National Big Data Analytics (BDA) Initiative - //bina/ 2014 conference
National Big Data Analytics (BDA) Initiative - //bina/ 2014 conferenceNational Big Data Analytics (BDA) Initiative - //bina/ 2014 conference
National Big Data Analytics (BDA) Initiative - //bina/ 2014 conference
 
Software libre en la banca - Experiencias del grupo Santander con OSS
Software libre en la banca - Experiencias del grupo Santander con OSSSoftware libre en la banca - Experiencias del grupo Santander con OSS
Software libre en la banca - Experiencias del grupo Santander con OSS
 
DISRUPT YOUR MINDSET TO WORK WITH BIG DATA
DISRUPT YOUR MINDSET TO WORK WITH BIG DATADISRUPT YOUR MINDSET TO WORK WITH BIG DATA
DISRUPT YOUR MINDSET TO WORK WITH BIG DATA
 

Using Big Data for Product & Service Innovation

  • 1. Using big data in product design Executive Director Jesper N. Pedersen
  • 2. ​ The challenge – is Big data a Big thing? ​ Danish Innovation approach 1.  Product innovation 2.  New online services 3.  Smart city ​ Lessons learned Agenda
  • 3. ​ Jesper Nørding Pedersen. ​ Executive director & Partner Advice jesper.p@adviceas.dk Wo we are Some of our clients
  • 4. ​ Big data is like teenage sex ​ Everybody is talking about it ​ Everyone says that they are doing it ​ Nobody has really tried it The hype
  • 5. The reality – we have the powerTransistor count Year
  • 6. And we can now understand the world by algorithm
  • 7. But to use data we have to understand our perspective. What are we looking at, and what are we trying to solve? © shaunaxton.com
  • 8. Inefficient use of ressources (96% of the time, cars stand still)
  • 12. The data points are increasing. Internet of things is changing our understanding of the real world
  • 13. 13 Benefits Creating an overview of own data sources Optimization by combining own and external data Data driven innovation Expanded business areas Typical effects Productivity profits Customer segmentation Inventory optimization Better pricing opportunities Additional sales New services Faster product development Intelligent concepts Selling data New businesses Figure 2: Benefits related to big data and data driven business development. Source: IRIS Group
  • 14. 14 How is Denmark facing this challenge?
  • 16. © World Economic Forum Information Technology Index 2015
  • 17. © World Economic Forum Information Technology Index 2015
  • 22. So, if innovation is based on big data. How do we compeed in 2020?
  • 23. 23 Two kinds of business in Denmark •  Start-ups (2 types) •  Analysis and Consulting Companies •  Innovative start-ups who has had success with the use of (public) data. •  Larger Corporations •  With existing large scale Business Intelligence departments, such as Vestas, Lego, Grundfoss, Mærsk, etc.. Front-runners Source: Danish Business Authority report (2013); Potentials and Barriers of Big Data in Business Development.
  • 24. 24 4 Main drivers Data & Technology New business models Accelerating competition Digitization Data driven business development Figure 1: Big Data and datadriven business development – the most important drivers. Source: IRIS Group
  • 25. Government as enabler: Free open core data
  • 26. 26 Public data is great business Net provenue Free open data Private sector Government sector
  • 28. Three main areas of big data innovation Product design New online services Smart city
  • 30. case Product innovation based on structured and non-structured data on online usageLEGO 12.000 Employees 13 % Revenue growth 2014 Source: LEGO Group Annual Report 2014 more than: 130Countries
  • 31. case LEGO INTENTION à ATTENTION ABILITY TO CHANGE AWARENESS •  Social networks •  Lego.com online community •  Special LEGO user groups (55.000 members) •  Interaction with lead users •  Online Sentiment Analysis •  LEGO Universe (online gaming)
  • 32. case Using big data to choose location of major windmill sites & bringing data and insights to the windmill owners.VESTAS Courtesy of Vestas Wind Systems A/S 47.000 wind turbines 70 countries 90 mio MWh pr year
  • 33. 33 Vestas invested in the super computer FIRESTORM, which gather data from: •  35.000 public weather stations world wide •  More than 150 different parameters every 6th hour •  Individual wind turbine’s performance (SCADA) •  Production charts •  Event and alarm notifications •  Performance and power curve reports •  Point of common coupling measurements Case: Vestas Data sources
  • 34. From big data to big business
  • 35. case An app that enables users to measure wind speed at their location. The app uses a plug-in wind meter, with sensors that makes 40.000 measurements per second.Vaavud – design to collect data
  • 36. case An app that enables users to measure wind speed at their location. The app uses a plug-in wind meter, with sensors that makes 40.000 measurements per second.Vaavud
  • 37. 37 •  The data is produced by the users and every measurement is shared via the app •  Data from build in barometers in most newer smartphones •  Creates a high-resolution local weather forecast Data sources
  • 38. case An app that enables users to measure wind speed at their location. The app uses a plug-in wind meter, with sensors that makes 40.000 measurements per second.Vaavud
  • 39. case Novo Nordisk - Indonesia Preventing diabetes Public-private partnership between Ministry of Health, Malaysia, pharma-company Novo Nordisk, University of Witwatersrand in Johannesburg, University of Southampton, Steno Diabetes Centre in Denmark – and Advice JOM Mama Preventing diabetes in young couples by helping them to a healthier llifestyle. After a visit to the nurse the couple downloads an app with daily challenges Nurses are able to monitor use of app between visits and can make necessary motivational calls Scientists get access to data from app and nurses’ journals in order to analyse behavioral patterns
  • 41. case commercial web portal using public open data to create new ways of buy/sell real estate.Boliga.dk •  Residences demurrage •  Price changes •  The geographical outline •  A number of general trends in the housing market •  What is for sale or has been offered / sold in a given area and at what prices •  Prices similar homes have been sold for Filtering options: •  Districts •  Characteristics •  Prices Statistics on: •  Average prices per m2 •  Biggest price changes •  Most and least expensive real estates within a certain area
  • 42. 42 •  Collects data from real estates on the market •  Collaboration with regular estate agencies •  Automation of data collection •  Public Innovation Service (OIS) Case: Boliga.dk How?
  • 43. 43 •  The open data source “Building and Housing Register” (BBR) which is offered by the Public Innovation Service (OIS). •  Covers: Area, Location, Use, Installations, Water and drainage conditions, kitchen facilities, wall- and roof materials, annual rent, etc. •  Estate agencies own data about price and price changes, how long the item has been on the market, etc. Case: Boliga.dk Data sources
  • 44. case commercial web portal using public open data to create new ways of buy/sell real estate.Boliga.dk
  • 45. case commercial web portal using public open data to create new ways of buy/sell real estate.Boliga.dk
  • 46. 46 Potential types of public open data in the future •  Pollution •  School ratings •  Crime statistics •  Risk analysis’s (eg. water damage reports) Case: Boliga.dk Possibilities
  • 47. case NemHandel is an open e-business framework which allows businesses to send standardised electronic invoices directly from their PC via the internet in a secure and reliable fashion.NemHandel (EasyTrade)
  • 48. 48 •  Replaces less cost-effective solutions, such as paper invoices. •  Reduce administrative burdens •  Connectivity across Europe •  Based on experience with NemHandel Denmark has played an active role in the design, development and implementation of OpenPEPPOL (Pan- European Public Procurement Online) Effective invoice system
  • 49. 49 •  Legislation & cooperation with business organisations •  Reduce administrative burdens •  More than 28 % of Danish Businesses uses NemHandel (2013) •  Connectivity across Europe •  Based on experience with NemHandel Denmark has played an active role in the design, development and implementation of OpenPEPPOL (Pan- European Public Procurement Online) Mandatory e-invoicing
  • 50. 50 NHR (NemHandelRegister / EasyTradeRegister) is a data base of all NemHandel registered recipients. Case: Rejseplanen.dk Data source
  • 51. case MinBilDinBil is a car renting company, that allows private people to rent their cars to other private people. Uses open data for business development, marketing, etc.MinBilDinBil (MyCarYourCar)
  • 52. 52 •  Mortorregistret (Danish Vehicle Register) •  Statistics Denmark Data set from the municipality of Copenhagen: •  The Copenhagen Map •  Copenhagen Data Case: Rejseplanen.dk Data sources
  • 54. case Aarhus is the second largest city in Denmark. The municipality has released a lot of different open data sets to improve the city.Open Data Aarhus
  • 55. case The map shows how well the traffic is flowing right now. It is based on data from OpenStreetMap and real-time traffic data taken from the www.odaa.dkAarhus
  • 56. case Traffic intensity in relation to recreational areas. Made with open data from odaa.dkAarhus
  • 57. case Odense is the third largest city in Denmark. The municipality has released a lot of different open data sets to improve the city.Odense DataPlatform
  • 58. case Web service that tells how many parking lots there are, and how many of them are vacant.Public parking lots
  • 59. case Web service that tells how many parking lots there are, and how many of them are vacant.Public parking lots
  • 60. case App that uses open data to help users find the nearest public lavatory facility.Public Lavatory
  • 61. case Copenhagen is the capital of Denmark and the municipalities has also released a lot of open data sets.Copenhagen Data
  • 62. case Copenhagen has an automatic alarm system when it’s not recommended to swim in the harbours. Water Quality for outdoor swimming
  • 63. case Copenhagen has an automatic alarm system when it’s not recommended to swim in the harbours. Water Quality for outdoor swimming
  • 65. 65 Research show big economical potentials in strategic data driven business development Companies that uses big data performs 5-6% better by income than companies that do not use big data. McAfee og Brynjolfsson (2012); ”Big Data: The Management Revolution” i Harvard Business Review Big business Source: Danish Business Authority report (2013); Potentials and Barriers of Big Data in Business Development.
  • 66. 66 Volume The large and exponentially increasing amounts of data generated and stored every second of businesses, citizens and authorities. Velocity The increasing speed in which data can be stored and analysed - partly because of developments in computing power of large computers. Variety The increasing number of data sources that are available for businesses, which can be easily collected and communicated through services such as broadband and mobile technologies. Data come from computers in production, sensors, social media, customers, traffic on the company's website, text files from the Internet, digital cameras, public data sources, etc. Big Data - The 3 V’s Source: Danish Business Authority report (2013); Potentials and Barriers of Big Data in Business Development.
  • 67. 67 Benefits Creating an overview of own data sources Optimization by combining own and external data Data driven innovation Expanded business areas Typical effects Productivity profits Customer segmentation Inventory optimization Better pricing opportunities Additional sales New services Faster product development Intelligent concepts Selling data New businesses Figure 2: Benefits related to big data and data driven business development. Source: IRIS Group
  • 68. 68 Just the beginning For a few companies in Denmark the positive effects of using big data is starting to show. But the socio-economic benefits are still relatively small. Data driven business development is an important factor to increase productivity. Source: Danish Business Authority report (2013); Potentials and Barriers of Big Data in Business Development.
  • 69. 69 Potentials 0,7 % yearly increase in productivity in the life science sector McKinsey Global Institute (2011) ; ”Big data: The next frontier for innovation, competition and productivity”.
  • 70. 70 Potentials up to: 50 % reduction of production cost in product development McKinsey Global Institute (2011) ; ”Big data: The next frontier for innovation, competition and productivity”.
  • 71. 71 Barriers Data availability Competences Legislation and security Financial ressources Lack of knowledge Ø  Framework for big data in existing companies Ø  Terms and conditions for new data-driven start-ups Figure 3: Figure of key barriers to exploitation and dissemination of big data and data-driven development . Source: IRIS Group
  • 72. 72 1.  Start a big data campaign 2.  Strengthen big data throughout the education system. 3.  Better access to public data 4.  Safe and legal use of personal data 5.  Establish big data start-up programs 5 Recommendations Source: Danish Business Authority report (2013); Potentials and Barriers of Big Data in Business Development.
  • 73. ​ Jesper Nørding Pedersen. ​ Executive director & Partner Advice jesper.p@adviceas.dk Wo we are Some of our clients