SlideShare a Scribd company logo
1 of 100
Download to read offline
Better Local
Information
Find, Share and
Create Anything
The Problem
• Local information is fragmented
• It takes time to find things
• It’s even harder in different languages
Example
• Today there is no easy, unified way to
answer the questions:
• "What hospital should I go to?"
• "Which cafe nearby is nice?"
The Solution
• Make it easier to find, share and
create local information
Not An Original Idea
• “By making it their mission to
organize their specific community’s
information and making it accessible
online, libraries can strive to create
hyper-local resources that get more
granular and detailed.”
http://goo.gl/rxD2Y
Refining The Concept
• Local information changes all the time
• Tracking this data is a challenge that
technology can address
• Actually, technology can do it better
than a library
How?
• Use “Open Data” as a foundation
• Combine this with other information
• Have one portal to access everything
More Specifically
• Use data from OpenStreetMap,
Wikipedia and other resources to
provide a foundation
• Build a base directory from this
• Have a front-end that allows people to
find, create and share information on
top of this
A Converged Portal
Places Events Classified Jobs Deals
Social Rating
Foundation
• LAMP Stack
• PostgreSQL/PostGIS/Osmosis
• Wordpress + Geo + Responsive plug-ins
• WPML + Types/Views/CRED/ACCESS
New Code Script # 1
• Pull places from OpenStreetMap data
• Write a Wordpress post in custom
taxonomy for each place
• Allow automatic updates of
information from OpenStreetMap
• Return updates in directory listings to
OpenStreetMap upstream
New Code Script # 2
• Pull data from Wiki(pedia)(travel)
• Write a Wordpress post in custom
taxonomy for each entry
• Allow automatic updates of
information from Wiki(pedia)(travel)
• Return updates in directory listings to
Wiki(pedia)(travel) upstream
Social Links
• Allow each custom post to easily be
shared on major networks
• Allow each custom post to record
ratings and accept reviews
• Where possible, also display ratings
and reviews from other sources
Ultimate Goal
• Reduce the distance between people
and local information to zero
Technical Goal
• Make an improved Open Source
foundation for local information
resources, with a particular focus on
delivery to all devices and multi-
language services
Hacking Team
• Shane Coughlan
• Kana Fukuma
• (remote servers donated by German
and Italian researchers and local
government)
First Hacking Schedule
• 17th, 9am to 5pm
• 18th, 10am to 3pm
• 19th, 9am to 5pm
• 20th, 9am to 12pm
Who Pays The Bills?
Digital Economics
• The digital economy accounts for 2.3
trillion USD (4.1%) of the G20 GDP
• Global value is estimated at 16 trillion
USD in 2013
• It is about 13.8% of global sales
http://goo.gl/p1edk
Same Old, Same Old
• The digital economy is based on
normal economic theory
• Supply and demand is the key to
understanding pricing
• The price settles where the quantity
demanded equals the quantity
supplied (economic equilibrium)
Reviewing That
http://goo.gl/aCK9R
The Nutshell
• The most basic case is that a new
digital service appears
• There is supply at a certain level,
there is demand at a certain level
• This determines a price that allows
supply to continue and meet demand
Digital vs Analogue
• One question is how digital sales work
in markets with traditional analogue
sales
• Another is how digital approaches
become the new normal
• In other words, how does “digital”
work?
In Other Words...
• Digital services often disrupt
analogue services
• This disruption can reduce prices or
change distribution/sales methods
• When this happens there is an
adjustment to the pricing equilibrium
in a service area
Case Study: Music
• For the best part of 100 years people
purchased music in physical
(analogue) formats
• Computers and the Internet
introduced digital music, but in the
early days people did not purchase
these services
An Impossible Sale
• Ten years ago analogue music sales
were the norm
• Digital stores had no traction
• Piracy accounted for almost half of
content, and reduced the average
consumer spend from $126 to $100
http://goo.gl/4Ba8f
Then Came iTunes
• Apple introduced a digital store in
2003
• They had the goal of becoming the

go-to place for music
• The idea was to be easy and elegant,
and to make music more accessible
iTunes Benchmark
http://goo.gl/JxPM0
Flipping The Market
• By 2006, Apple had 88% of the US
digital download market
• By 2009, iTunes accounted for 70% of
global digital music sales
• By 2011, digital sales passed analogue
sales with 8.4% growth vs 5% decline
http://goo.gl/py7XA
http://goo.gl/IRwZF
Digital Sales Work
• Apple showed that if you make it easy,
people will buy digital content
• The same goes for renewals: Hearst
Magazine get 70% conversion rates
• This is the opposite of the traditional
problem of sales and re-subscription
http://goo.gl/zVCP5
Let’s Go Deeper
Winning Case Studies
• Google - Good idea, good delivery
• Facebook - Good idea, good delivery
• LinkedIn - Good idea, good delivery
Google
• Google has 88.8% of the search
market
• Its services are focused on helping
people (the users) find things easily
• Google watches what people do, and
sends them custom advertising
http://goo.gl/fDycJ
Google’s Money
• Google introduced adverts in 2000
• These now generate over 96% of
revenue, or around 37.5 billion USD
• What’s smart is how Google expanded
advertising using technology
http://goo.gl/NRQgs
Doing Something New
• Google allows traditional click-
through adverts and cheap “per view”
brand awareness adverts under the
name AdWords
• It also displays ads on third-party
sites under the name AdSense
• 70% of advertising revenue comes
from AdWords, the rest from AdSense
http://goo.gl/NRQgs
Making Magic
• The flexibility of AdWords and
AdSense combined with the personal
knowledge of Google user search
allows businesses to focus spending
• This is completely automatic
Facebook
• Facebook has 61.46% of the social
network market
• It helps connect people and makes it
easy to share information
• To make money it shows users custom
advertising
http://goo.gl/JbexH
Facebooks’s Money
• Facebook generates 86% of revenue
from advertising, over 1 billion USD
per quarter
• They are now exploring new income
streams like inter-user “Gifts”
http://goo.gl/o4Re4
Doing Something Better
• Facebook has the same basic approach
as Friendster and MySpace had
• However, Facebook is focused like a
laser on a great user experience
• This keeps users engaged and growing
(up 28% year-over-year to 584 million
active per month in Q3 2012)
http://goo.gl/o4Re4
Facebook’s Shares
• Facebook has a dual-class share
structure
• Mark Zuckerberg has 10 votes for
every other shareholder’s single
ballot
• This allows the company to follow a
vision instead of chasing quarters
http://goo.gl/As63f
Making Magic
• The relatively stable (and growing)
user-base means that Facebook can
deliver targeted adverts to a massive
audience
• These adverts are easy for any person
or business to purchase, even to the
extent of “promoting” personal posts
LinkedIn
• LinkedIn is a “professional”
networking tool with 187 million
users
• It helps connect professionals
• To make money it sells subscriptions,
hiring solutions and marketing
solutions
http://goo.gl/YYgEJ
LinkedIn’s Money
• LinkedIn has three sources behind its
1 billion USD revenue stream
http://goo.gl/29eNz
Doing Something Smart
• LinkedIn focuses on helping
professionals network with each
other, and on providing services to
support careers
• By avoiding distractions it
differentiates itself from general
social networks
Making Magic
• LinkedIn has a low barrier to entry,
but charges both professionals and
businesses for advanced services
• It has 81% revenue growth year-over-
year across its products
• Last year subscriptions increased
79%, hiring solutions increased 90%,
and marketing solutions 68%
http://goo.gl/OIJKr
Summary
• A good idea combined with good
delivery leads to success in the digital
economy
• People like simplicity, convenience
and affordability
• This is pretty basic economic theory
Going Local
Little Local Economics
• Local engagement is key to SME
success
• 49% of SME’s report local outreach
brings new customers, 22% say it has
good targeting, 16% say it brings
repeat custom, and 14% feel it is a
direct return on investment
http://goo.gl/YTTbG
Big Local Economics
• Local engagement is key to large
business growth too
• Local search in the US is estimated to
outpace the overall market by 12.1%,
and local display by 16.2% between
2011 and 2016
http://goo.gl/kR98G
Local And Mobile
• 40% of mobile searches are for local
information
• 70% of mobile advertising will be local
by 2015
• 88% of local advertising will target
mobile by 2016
http://goo.gl/O2erN
The Big Question
• In the US around 100 billion USD is
spent yearly on local advertising
• The online market is estimated to be
worth 15.5 billion USD by 2013
• How are digital companies trying to
break into the market?
http://goo.gl/RC20F
Case Studies
• Yelp - Good idea, bad delivery
• Foursquare - Bad idea, bad delivery
• GroupOn - Almost good idea, bad
delivery
Yelp
• Yelp is a user-generated local review
website that gets 91.4% of revenue
from advertising
• 76.8% of advertising is from
“featured” local business
• The rest is traditional advertising
http://goo.gl/vUz13
Yelp’s Big Idea
• Yelp depends on the “network effect”
• “Our platform helps people find great local businesses to meet
their everyday needs. As more people use our platform, more of
them write reviews. Each review that a user contributes helps
expand the breadth and depth of the content on our platform, in
turn drawing in more consumers.”
http://goo.gl/vUz13
Yelp’s Approach
• Yelp has a “bowling pin” strategy
• “Yelp enters a new market and begins creating profiles for local
businesses (what they call ‘claimed business locations’). Users
then begin to write reviews, which in turn spurs user adoption
and more reviews, creating a snowball effect until Yelp becomes
the definitive guide to local businesses in their market. At this
point, Yelp can pitch itself as a cost-effective advertising platform
for local businesses.”
http://goo.gl/vUz13
Yelp Results
• Yelp has seen a yearly growth of 64%
in reviews, 67% in users, 97% in
business listings and 118% in
advertisers
• However, their sale model is staff
intensive and not profitable yet
http://goo.gl/vUz13
How Big Is The Problem?
• During the first nine months of 2011,
Yelp had $58 million revenue and a
net loss of $7.6 million
• Actually, the S-1 filing from that time
shows they had not made a profit in
three years
http://goo.gl/OVICG
Why Is That?
• User reviews alone do not give a
sustainable comparative advantage
• Just selling local advertising is an
expensive proposition
• Yelp faces big strategic threats
http://goo.gl/vUz13
And Yet...
• US local businesses spent $133.2
billion on advertising in 2010, $19.6
billion of it online
• 95% of all consumer spending is local
• As local advertising continues to
migrate online, the dominant local
review provider will do very well
http://goo.gl/Fe7Cx
Potential vs Reality
• The basic proposition of providing
local services is good
• However, the single service model
(and the offered service of local
advertising) is not scaling effectively
• Yelp needs to refocus on higher value
sales with a lower marginal cost per
transaction
Foursquare
• Foursquare is a “location-based” social
tool that gets 100% of revenue from
advertising
• These “promoted updates” are offers
tied to locations
Foursquare’s Big Idea
• Location-based services allow
targeted engagement for businesses
Foursquare’s Approach
• People “check-in” to places
• Companies can send messages about
deals or products
Foursquare’s Results
• Since introducing “promoted updates”
in 2012, Foursquare generated 2
million USD in revenue
• However, this missed investor
expectations and company projections
http://goo.gl/zjjw3
How Big Is The Problem?
• Only 8 million out of 25 million
customers use the service monthly
• New features like “Explore” have
failed to increase engagement
http://goo.gl/OVICG
Why Is That?
• User check-ins alone do not give a
sustainable comparative advantage
• Just selling promoted updates is not a
good enough money-maker
• Foursquare faces big strategic threats
Potential vs Reality
• The basic proposition of location-
based services is too shallow
• It’s not enough to hold users, and
promoted updates therefore cannot
generate enough revenue
• The Foursquare service is being
replaced by Facebook, Yelp and Google
GroupOn
• GroupOn is a daily-deal website that
gets its revenue from businesses
offering the deals
• These deals depend on a certain
number signing up
• They are usually discretionary items
http://goo.gl/AjG1x
GroupOn’s Big Idea
• Sell growth to businesses, sell a cheap
new experience to customers
GroupOn’s Approach
• Companies offer discounts
• People sign up to learn about deals
• GroupOn mails people the latest offers
GroupOn’s Results
• At the end of 2012 GroupOn saw
active customers increasing almost
37%
• However, gross billings per active
customer declined by 21%
http://goo.gl/DbWFV
How Big Is The Problem?
• Some numbers suggest only 1% of
GroupOn users become regular
customers
• They also say GroupOn business
churn rate is up to 90%

http://goo.gl/NMN3q
Why Is That?
• Dramatically altering Supply and
Demand with massive discounts
breaks the cost/benefit equation
• The customer has a bad experience
• The business has a bad experience

http://goo.gl/KkYYi
Potential vs Reality
• The basic proposition of selling growth
makes sense
• However, the first model of deep
discounts below fixed costs hurt small
businesses and customers
• The focus on massive discounts on
discretionary items is not the future
of discount vouchers
What’s A Good Coupon?
• Something that matches your market
requirements regarding expansion
• Something that matches your math
about fixed costs
• Something that encourages people to
indulge (just a little)
When The Dust Settles
• Looking at these examples we can see
a demand for local services but a
problem with business models
• It seems like no one has found the
right solution yet
Starting At Zero
• The users are the community
• The community is the product
The Big Question
• What parts of the community could be
commercialized to create stable
revenue?
Dealing With That
• Many digital companies initially focus
on gaining users with free services
• These users become the product
• After a certain point, premium
services are introduced on top of the
free services
Revenue Model # 1
• Provide a low cost way for commercial
services to be discovered
• These could be businesses, events,
jobs or special offers
• The “featured” items are layered over
the Open Data foundation
Why Is That Useful?
• Businesses currently invest in
analogue and digital advertising
• In Japan the cost of this advertising is
often high, and the services are
extremely fragmented
Example
• A company might pay Living Paper
50,000 yen for advertising in one
issue
• They might run coupons through
GroupOn at 50% cost on the sticker
price
• They might also seek placement in
Hot Pepper listings or coupons
Consequence
• Businesses are spending a lot of
money to reach their audience
• Each individual effort has a high cost
of conversion
• In short, the investment versus the
return is high
Historical Reasons
• Japanese sales are traditionally done
person to person, even with low value
items
• There is a very high cost of conversion
in this approach
• This model reduces the potential to
scale and refine returns
Lack Of Evolution
• Interestingly, this approach has been
carried over to the digital era
• Japanese companies still have high
fixed costs and inefficient sales models
• Yet international companies like
Amazon and Apple are operating in
Japan with modern models
Conclusion
• There is no evidence that the
Japanese consumer dislikes simple,
efficient services
• They frequent companies that reduce
costs by having automated, indirect
sales
• The problem is lack of innovation in
local service provision
Solution
• By providing a converged data
approach, it may be possible to reduce
the cost of conversion
• Each individual outreach effort will
have a dramatically lower cost, and
will benefit from being linked to every
other outreach effort
Put Another Way
• It is possible to slot into existing
spending habits and dramatically
lower costs compared to competitors
• The fundamental concept would be to
offer a lower unit cost to a bigger
market
The Problem
• Many companies are doing essentially
the same thing — digitally connecting
local businesses with their consumers
• This is a commodity environment
with severe downward pressure on
prices
http://goo.gl/vCSgg
The Proviso
• The local market in Japan is way
behind the curve
• There is still an opportunity here for
local advertising revenue
• It’s just not enough to sustain a
business on its own
Revenue Model # 2
• Stack several related services
• This can insulate the company from
market changes while adding depth to
its services
Sales Concepts
• Cross-selling of related services
• Continual up-selling of each individual
service
Cross-Selling
• Cross-selling of related services allows
each individual service to be cheap,
but the potential for sales to be high
Up-Selling
• Up-selling improved versions of each
individual service allows the same
product to be sold to the same people
many times
But What Services?
• The core proposition is to find, share
and create local information
• Combined with cross-selling and up-
selling, it suggests a family of inter-
related business services
Digging Into The Idea
• Local outreach still sounds promising
• This could be premium listings,
event or deal exposure (aka ads)
• However, acting as a provider of
digital services is also interesting
• Offering web presence, taking
bookings, running a store-front
Stacking Subscriptions
• Conceptually, stacked services could
be offered as subscriptions
• This would be a “phone bill” approach
to business services
Nutshell Time Again
• The core idea would be to sell multiple
inter-linked services at reasonable
per-unit prices on a subscription basis
• The subscriptions and distributed
income would help insulate the
company from market shocks
Challenges
• There is a certain level of complexity
in offering any one service
• Great care needs to be taken to ensure
complexity does not overwhelm the
business
• At the same time, the selected
services need to have a clear path to
profitability
Next Steps
• In the context of the market, and in
the context of the known digital
economy, discuss which services can
create a sustainable stacked offering
• Assess the feasibility of applying that
to the technology being developed
• Determine if the technology and the
economics work well together

More Related Content

What's hot

Reading Room Singapore presentation to Henley / Brunel MBA Singapore Alumni b...
Reading Room Singapore presentation to Henley / Brunel MBA Singapore Alumni b...Reading Room Singapore presentation to Henley / Brunel MBA Singapore Alumni b...
Reading Room Singapore presentation to Henley / Brunel MBA Singapore Alumni b...Reading Room Singapore
 
NRF Exhibitor Big !deas: Retail's Big Show 2016 Presentation
NRF Exhibitor Big !deas: Retail's Big Show 2016 Presentation NRF Exhibitor Big !deas: Retail's Big Show 2016 Presentation
NRF Exhibitor Big !deas: Retail's Big Show 2016 Presentation Deborah Weinswig
 
Dgr look book-webinar-10-13-16-finaldeck
Dgr look book-webinar-10-13-16-finaldeckDgr look book-webinar-10-13-16-finaldeck
Dgr look book-webinar-10-13-16-finaldeckG3 Communications
 
Digital IR Communications
Digital IR CommunicationsDigital IR Communications
Digital IR CommunicationsComprend
 
Digital IR Communications
Digital IR CommunicationsDigital IR Communications
Digital IR CommunicationsComprend
 
The Future of Digital Retail - Asia Retail Congress 2016
The Future of Digital Retail  - Asia Retail Congress 2016The Future of Digital Retail  - Asia Retail Congress 2016
The Future of Digital Retail - Asia Retail Congress 2016Deborah Weinswig
 
13926 digital marketing_insights
13926 digital marketing_insights13926 digital marketing_insights
13926 digital marketing_insightsThomas Postclic
 
Local Media Association Native Advertising
Local Media Association Native AdvertisingLocal Media Association Native Advertising
Local Media Association Native AdvertisingLocal Media Association
 
NYU Integrated Marketing Campaign Project. Client: The Economist
NYU Integrated Marketing Campaign Project. Client: The EconomistNYU Integrated Marketing Campaign Project. Client: The Economist
NYU Integrated Marketing Campaign Project. Client: The EconomistPatty Yunen Latour
 
Internet Marketing Trends 2007
Internet Marketing Trends 2007Internet Marketing Trends 2007
Internet Marketing Trends 2007Linda Girard
 
The Future of DIGITAL Retail
The Future of DIGITAL RetailThe Future of DIGITAL Retail
The Future of DIGITAL RetailDeborah Weinswig
 
Five Things to Know in 2009
Five Things to Know in 2009Five Things to Know in 2009
Five Things to Know in 2009Dennis O'Neil
 

What's hot (14)

Reading Room Singapore presentation to Henley / Brunel MBA Singapore Alumni b...
Reading Room Singapore presentation to Henley / Brunel MBA Singapore Alumni b...Reading Room Singapore presentation to Henley / Brunel MBA Singapore Alumni b...
Reading Room Singapore presentation to Henley / Brunel MBA Singapore Alumni b...
 
Trends in cm versie 1
Trends in cm versie 1Trends in cm versie 1
Trends in cm versie 1
 
NRF Exhibitor Big !deas: Retail's Big Show 2016 Presentation
NRF Exhibitor Big !deas: Retail's Big Show 2016 Presentation NRF Exhibitor Big !deas: Retail's Big Show 2016 Presentation
NRF Exhibitor Big !deas: Retail's Big Show 2016 Presentation
 
Dgr look book-webinar-10-13-16-finaldeck
Dgr look book-webinar-10-13-16-finaldeckDgr look book-webinar-10-13-16-finaldeck
Dgr look book-webinar-10-13-16-finaldeck
 
Digital IR Communications
Digital IR CommunicationsDigital IR Communications
Digital IR Communications
 
Digital IR Communications
Digital IR CommunicationsDigital IR Communications
Digital IR Communications
 
How Digital News is Consumed
How Digital News is ConsumedHow Digital News is Consumed
How Digital News is Consumed
 
The Future of Digital Retail - Asia Retail Congress 2016
The Future of Digital Retail  - Asia Retail Congress 2016The Future of Digital Retail  - Asia Retail Congress 2016
The Future of Digital Retail - Asia Retail Congress 2016
 
13926 digital marketing_insights
13926 digital marketing_insights13926 digital marketing_insights
13926 digital marketing_insights
 
Local Media Association Native Advertising
Local Media Association Native AdvertisingLocal Media Association Native Advertising
Local Media Association Native Advertising
 
NYU Integrated Marketing Campaign Project. Client: The Economist
NYU Integrated Marketing Campaign Project. Client: The EconomistNYU Integrated Marketing Campaign Project. Client: The Economist
NYU Integrated Marketing Campaign Project. Client: The Economist
 
Internet Marketing Trends 2007
Internet Marketing Trends 2007Internet Marketing Trends 2007
Internet Marketing Trends 2007
 
The Future of DIGITAL Retail
The Future of DIGITAL RetailThe Future of DIGITAL Retail
The Future of DIGITAL Retail
 
Five Things to Know in 2009
Five Things to Know in 2009Five Things to Know in 2009
Five Things to Know in 2009
 

Viewers also liked

부천휴게텔≪다솜넷≫동탄오피≪부평건마,부천오피방
부천휴게텔≪다솜넷≫동탄오피≪부평건마,부천오피방부천휴게텔≪다솜넷≫동탄오피≪부평건마,부천오피방
부천휴게텔≪다솜넷≫동탄오피≪부평건마,부천오피방dasom49
 
La bendición que nadie quiere!
La bendición que nadie quiere!La bendición que nadie quiere!
La bendición que nadie quiere!Argentina
 
Participant Agenda
Participant AgendaParticipant Agenda
Participant AgendaDaniel Gold
 
Certificate-57051-1310
Certificate-57051-1310Certificate-57051-1310
Certificate-57051-1310sadaf safi
 
Get Certificate - Cybrary Cybrary
Get Certificate - Cybrary CybraryGet Certificate - Cybrary Cybrary
Get Certificate - Cybrary Cybrarysadaf safi
 
Tim Brown Certificate NQF level 4
Tim Brown Certificate NQF level 4Tim Brown Certificate NQF level 4
Tim Brown Certificate NQF level 4Tim Brown
 
Como recibir el Bautismo del Espíritu Santo - Gordon Lindsay
Como recibir el Bautismo del Espíritu Santo - Gordon LindsayComo recibir el Bautismo del Espíritu Santo - Gordon Lindsay
Como recibir el Bautismo del Espíritu Santo - Gordon LindsayHelio Colombe
 
Cumpliendo la tarea mision invasion 2017
Cumpliendo la tarea mision invasion 2017Cumpliendo la tarea mision invasion 2017
Cumpliendo la tarea mision invasion 2017IBE Callao
 

Viewers also liked (15)

Equipotential earthing
Equipotential earthingEquipotential earthing
Equipotential earthing
 
부천휴게텔≪다솜넷≫동탄오피≪부평건마,부천오피방
부천휴게텔≪다솜넷≫동탄오피≪부평건마,부천오피방부천휴게텔≪다솜넷≫동탄오피≪부평건마,부천오피방
부천휴게텔≪다솜넷≫동탄오피≪부평건마,부천오피방
 
Power Mapping 1
Power Mapping 1Power Mapping 1
Power Mapping 1
 
La bendición que nadie quiere!
La bendición que nadie quiere!La bendición que nadie quiere!
La bendición que nadie quiere!
 
Participant Agenda
Participant AgendaParticipant Agenda
Participant Agenda
 
Pitching Prep
Pitching PrepPitching Prep
Pitching Prep
 
Certificate-57051-1310
Certificate-57051-1310Certificate-57051-1310
Certificate-57051-1310
 
Sakura
SakuraSakura
Sakura
 
Profibus project management, design and component selection andy smith
Profibus project management, design and component selection   andy smithProfibus project management, design and component selection   andy smith
Profibus project management, design and component selection andy smith
 
Get Certificate - Cybrary Cybrary
Get Certificate - Cybrary CybraryGet Certificate - Cybrary Cybrary
Get Certificate - Cybrary Cybrary
 
Redundancy
RedundancyRedundancy
Redundancy
 
Tim Brown Certificate NQF level 4
Tim Brown Certificate NQF level 4Tim Brown Certificate NQF level 4
Tim Brown Certificate NQF level 4
 
Como recibir el Bautismo del Espíritu Santo - Gordon Lindsay
Como recibir el Bautismo del Espíritu Santo - Gordon LindsayComo recibir el Bautismo del Espíritu Santo - Gordon Lindsay
Como recibir el Bautismo del Espíritu Santo - Gordon Lindsay
 
Cumpliendo la tarea mision invasion 2017
Cumpliendo la tarea mision invasion 2017Cumpliendo la tarea mision invasion 2017
Cumpliendo la tarea mision invasion 2017
 
Z-Scope*7 EN
Z-Scope*7 ENZ-Scope*7 EN
Z-Scope*7 EN
 

Similar to Find and share local information easily

Online communication trends
Online communication trendsOnline communication trends
Online communication trendsDavid Phillips
 
Tech trends in fundraising special olympics
Tech trends in fundraising special olympicsTech trends in fundraising special olympics
Tech trends in fundraising special olympicsTina Arnoldi, MA, LPC
 
November 3 tactics to ensure next sale is around the corner
November 3 tactics to ensure next sale is around the cornerNovember 3 tactics to ensure next sale is around the corner
November 3 tactics to ensure next sale is around the cornerCole Information
 
Workshop on create slides 17.07.14.pptx (2)
Workshop on create slides 17.07.14.pptx (2)Workshop on create slides 17.07.14.pptx (2)
Workshop on create slides 17.07.14.pptx (2)Ernact Create
 
Websites for donations and sponsorship
Websites for donations and sponsorshipWebsites for donations and sponsorship
Websites for donations and sponsorshipAndrew Killen
 
How to Insert your Library into the mobile sharing economy
How to Insert your Library into the mobile sharing economyHow to Insert your Library into the mobile sharing economy
How to Insert your Library into the mobile sharing economyJustin Denton
 
AFP Summer Institute 2012, Charleston, SC
AFP Summer Institute 2012, Charleston, SCAFP Summer Institute 2012, Charleston, SC
AFP Summer Institute 2012, Charleston, SCTina Arnoldi, MA, LPC
 
Dorian Marketing Group Powerpoint
Dorian Marketing Group PowerpointDorian Marketing Group Powerpoint
Dorian Marketing Group Powerpointdavedoor
 
Engaging Your Audience Through Online Technologies: Session 2
Engaging Your Audience Through Online Technologies: Session 2Engaging Your Audience Through Online Technologies: Session 2
Engaging Your Audience Through Online Technologies: Session 2HRMM
 
Print for Profit - Digital for Growth
Print for Profit - Digital for GrowthPrint for Profit - Digital for Growth
Print for Profit - Digital for GrowthRhapsody
 
3 Ways to Pump up Your Social Media Efforts
3 Ways to Pump up Your Social Media Efforts3 Ways to Pump up Your Social Media Efforts
3 Ways to Pump up Your Social Media EffortsCole Information
 
Level Seven - Big data in interactive marketing
Level Seven - Big data in interactive marketingLevel Seven - Big data in interactive marketing
Level Seven - Big data in interactive marketingDoug Denton
 
Technology in the consumer world
Technology in the consumer worldTechnology in the consumer world
Technology in the consumer worldKarenMcBride13
 
HOW CONSUMERS USE DIGITAL TECHNOLOGY AND ITS IMPACT ON THEIR LIVES
HOW CONSUMERS USE DIGITAL TECHNOLOGY AND ITS IMPACT ON THEIR LIVESHOW CONSUMERS USE DIGITAL TECHNOLOGY AND ITS IMPACT ON THEIR LIVES
HOW CONSUMERS USE DIGITAL TECHNOLOGY AND ITS IMPACT ON THEIR LIVESCeriseUpham
 
Meaford pl board keynote
Meaford pl board keynoteMeaford pl board keynote
Meaford pl board keynoteStephen Abram
 

Similar to Find and share local information easily (20)

Online communication trends
Online communication trendsOnline communication trends
Online communication trends
 
Tech Trends in Fundraising
Tech Trends in Fundraising Tech Trends in Fundraising
Tech Trends in Fundraising
 
Tech trends in fundraising special olympics
Tech trends in fundraising special olympicsTech trends in fundraising special olympics
Tech trends in fundraising special olympics
 
November 3 tactics to ensure next sale is around the corner
November 3 tactics to ensure next sale is around the cornerNovember 3 tactics to ensure next sale is around the corner
November 3 tactics to ensure next sale is around the corner
 
Zinngrabe
ZinngrabeZinngrabe
Zinngrabe
 
Social Media Strategy for Business [Mini Course] SMMU.com
Social Media Strategy for Business [Mini Course] SMMU.comSocial Media Strategy for Business [Mini Course] SMMU.com
Social Media Strategy for Business [Mini Course] SMMU.com
 
Workshop on create slides 17.07.14.pptx (2)
Workshop on create slides 17.07.14.pptx (2)Workshop on create slides 17.07.14.pptx (2)
Workshop on create slides 17.07.14.pptx (2)
 
Websites for donations and sponsorship
Websites for donations and sponsorshipWebsites for donations and sponsorship
Websites for donations and sponsorship
 
How to Insert your Library into the mobile sharing economy
How to Insert your Library into the mobile sharing economyHow to Insert your Library into the mobile sharing economy
How to Insert your Library into the mobile sharing economy
 
AFP Summer Institute 2012, Charleston, SC
AFP Summer Institute 2012, Charleston, SCAFP Summer Institute 2012, Charleston, SC
AFP Summer Institute 2012, Charleston, SC
 
Dorian Marketing Group Powerpoint
Dorian Marketing Group PowerpointDorian Marketing Group Powerpoint
Dorian Marketing Group Powerpoint
 
Data for Social Good
Data for Social GoodData for Social Good
Data for Social Good
 
Engaging Your Audience Through Online Technologies: Session 2
Engaging Your Audience Through Online Technologies: Session 2Engaging Your Audience Through Online Technologies: Session 2
Engaging Your Audience Through Online Technologies: Session 2
 
Print for Profit - Digital for Growth
Print for Profit - Digital for GrowthPrint for Profit - Digital for Growth
Print for Profit - Digital for Growth
 
3 Ways to Pump up Your Social Media Efforts
3 Ways to Pump up Your Social Media Efforts3 Ways to Pump up Your Social Media Efforts
3 Ways to Pump up Your Social Media Efforts
 
Level Seven - Big data in interactive marketing
Level Seven - Big data in interactive marketingLevel Seven - Big data in interactive marketing
Level Seven - Big data in interactive marketing
 
Technology in the consumer world
Technology in the consumer worldTechnology in the consumer world
Technology in the consumer world
 
Yahoo
YahooYahoo
Yahoo
 
HOW CONSUMERS USE DIGITAL TECHNOLOGY AND ITS IMPACT ON THEIR LIVES
HOW CONSUMERS USE DIGITAL TECHNOLOGY AND ITS IMPACT ON THEIR LIVESHOW CONSUMERS USE DIGITAL TECHNOLOGY AND ITS IMPACT ON THEIR LIVES
HOW CONSUMERS USE DIGITAL TECHNOLOGY AND ITS IMPACT ON THEIR LIVES
 
Meaford pl board keynote
Meaford pl board keynoteMeaford pl board keynote
Meaford pl board keynote
 

More from Shane Coughlan

OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full Recording
OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full RecordingOpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full Recording
OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full RecordingShane Coughlan
 
OpenChain AI Study Group - Europe and Asia Recap - 2024-04-11 - Full Recording
OpenChain AI Study Group - Europe and Asia Recap - 2024-04-11 - Full RecordingOpenChain AI Study Group - Europe and Asia Recap - 2024-04-11 - Full Recording
OpenChain AI Study Group - Europe and Asia Recap - 2024-04-11 - Full RecordingShane Coughlan
 
OpenChain Monthly Meeting North America and Asia - 2024-03-19
OpenChain Monthly Meeting North America and Asia - 2024-03-19OpenChain Monthly Meeting North America and Asia - 2024-03-19
OpenChain Monthly Meeting North America and Asia - 2024-03-19Shane Coughlan
 
OpenChain Webinar: Universal CVSS Calculator
OpenChain Webinar: Universal CVSS CalculatorOpenChain Webinar: Universal CVSS Calculator
OpenChain Webinar: Universal CVSS CalculatorShane Coughlan
 
openEuler Community Overview - a presentation showing the current scale
openEuler Community Overview - a presentation showing the current scaleopenEuler Community Overview - a presentation showing the current scale
openEuler Community Overview - a presentation showing the current scaleShane Coughlan
 
OpenChain AI Study Group - North America and Europe - 2024-02-20
OpenChain AI Study Group - North America and Europe - 2024-02-20OpenChain AI Study Group - North America and Europe - 2024-02-20
OpenChain AI Study Group - North America and Europe - 2024-02-20Shane Coughlan
 
AI Study Group North America - Europe 2024-02-06
AI Study Group North America - Europe 2024-02-06AI Study Group North America - Europe 2024-02-06
AI Study Group North America - Europe 2024-02-06Shane Coughlan
 
OpenChain Monthly North America / Europe Call - 2024-02-06
OpenChain Monthly North America / Europe Call - 2024-02-06OpenChain Monthly North America / Europe Call - 2024-02-06
OpenChain Monthly North America / Europe Call - 2024-02-06Shane Coughlan
 
OpenChain Export Control Work Group 2024-01-09
OpenChain Export Control Work Group 2024-01-09OpenChain Export Control Work Group 2024-01-09
OpenChain Export Control Work Group 2024-01-09Shane Coughlan
 
OpenChain Legal Work Group - 2024-01-17
OpenChain Legal Work Group -  2024-01-17OpenChain Legal Work Group -  2024-01-17
OpenChain Legal Work Group - 2024-01-17Shane Coughlan
 
Openchain AI Study Group 2024-01-23.pptx
Openchain AI Study Group 2024-01-23.pptxOpenchain AI Study Group 2024-01-23.pptx
Openchain AI Study Group 2024-01-23.pptxShane Coughlan
 
OpenChain Webinar #58 - FOSS License Management through aliens4friends in Ecl...
OpenChain Webinar #58 - FOSS License Management through aliens4friends in Ecl...OpenChain Webinar #58 - FOSS License Management through aliens4friends in Ecl...
OpenChain Webinar #58 - FOSS License Management through aliens4friends in Ecl...Shane Coughlan
 
Maturity Models - Open Compliance Summit 2023
Maturity Models - Open Compliance Summit 2023Maturity Models - Open Compliance Summit 2023
Maturity Models - Open Compliance Summit 2023Shane Coughlan
 
OpenChain Annual Report 2023 - Key Metrics Slides
OpenChain Annual Report 2023 - Key Metrics SlidesOpenChain Annual Report 2023 - Key Metrics Slides
OpenChain Annual Report 2023 - Key Metrics SlidesShane Coughlan
 
OpenChain Webinar 57 - The Open Source Initiative - 2023-11-27
OpenChain Webinar 57 - The Open Source Initiative - 2023-11-27OpenChain Webinar 57 - The Open Source Initiative - 2023-11-27
OpenChain Webinar 57 - The Open Source Initiative - 2023-11-27Shane Coughlan
 
FOSSLight Community Day 2023-11-30
FOSSLight Community Day 2023-11-30FOSSLight Community Day 2023-11-30
FOSSLight Community Day 2023-11-30Shane Coughlan
 
OpenChain Webinar #56: Generative AI and Your Code
OpenChain Webinar #56: Generative AI and Your CodeOpenChain Webinar #56: Generative AI and Your Code
OpenChain Webinar #56: Generative AI and Your CodeShane Coughlan
 
From One Standard to a Family - Taiwan Work Group - 2023-08-15.pptx
From One Standard to a Family - Taiwan Work Group - 2023-08-15.pptxFrom One Standard to a Family - Taiwan Work Group - 2023-08-15.pptx
From One Standard to a Family - Taiwan Work Group - 2023-08-15.pptxShane Coughlan
 
OpenChain Japan Work Group Meeting #28 - 2023-07-11
OpenChain Japan Work Group Meeting #28 - 2023-07-11OpenChain Japan Work Group Meeting #28 - 2023-07-11
OpenChain Japan Work Group Meeting #28 - 2023-07-11Shane Coughlan
 
OpenChain Legal Work Group - 2023-06-29
OpenChain Legal Work Group - 2023-06-29OpenChain Legal Work Group - 2023-06-29
OpenChain Legal Work Group - 2023-06-29Shane Coughlan
 

More from Shane Coughlan (20)

OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full Recording
OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full RecordingOpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full Recording
OpenChain Education Work Group Monthly Meeting - 2024-04-10 - Full Recording
 
OpenChain AI Study Group - Europe and Asia Recap - 2024-04-11 - Full Recording
OpenChain AI Study Group - Europe and Asia Recap - 2024-04-11 - Full RecordingOpenChain AI Study Group - Europe and Asia Recap - 2024-04-11 - Full Recording
OpenChain AI Study Group - Europe and Asia Recap - 2024-04-11 - Full Recording
 
OpenChain Monthly Meeting North America and Asia - 2024-03-19
OpenChain Monthly Meeting North America and Asia - 2024-03-19OpenChain Monthly Meeting North America and Asia - 2024-03-19
OpenChain Monthly Meeting North America and Asia - 2024-03-19
 
OpenChain Webinar: Universal CVSS Calculator
OpenChain Webinar: Universal CVSS CalculatorOpenChain Webinar: Universal CVSS Calculator
OpenChain Webinar: Universal CVSS Calculator
 
openEuler Community Overview - a presentation showing the current scale
openEuler Community Overview - a presentation showing the current scaleopenEuler Community Overview - a presentation showing the current scale
openEuler Community Overview - a presentation showing the current scale
 
OpenChain AI Study Group - North America and Europe - 2024-02-20
OpenChain AI Study Group - North America and Europe - 2024-02-20OpenChain AI Study Group - North America and Europe - 2024-02-20
OpenChain AI Study Group - North America and Europe - 2024-02-20
 
AI Study Group North America - Europe 2024-02-06
AI Study Group North America - Europe 2024-02-06AI Study Group North America - Europe 2024-02-06
AI Study Group North America - Europe 2024-02-06
 
OpenChain Monthly North America / Europe Call - 2024-02-06
OpenChain Monthly North America / Europe Call - 2024-02-06OpenChain Monthly North America / Europe Call - 2024-02-06
OpenChain Monthly North America / Europe Call - 2024-02-06
 
OpenChain Export Control Work Group 2024-01-09
OpenChain Export Control Work Group 2024-01-09OpenChain Export Control Work Group 2024-01-09
OpenChain Export Control Work Group 2024-01-09
 
OpenChain Legal Work Group - 2024-01-17
OpenChain Legal Work Group -  2024-01-17OpenChain Legal Work Group -  2024-01-17
OpenChain Legal Work Group - 2024-01-17
 
Openchain AI Study Group 2024-01-23.pptx
Openchain AI Study Group 2024-01-23.pptxOpenchain AI Study Group 2024-01-23.pptx
Openchain AI Study Group 2024-01-23.pptx
 
OpenChain Webinar #58 - FOSS License Management through aliens4friends in Ecl...
OpenChain Webinar #58 - FOSS License Management through aliens4friends in Ecl...OpenChain Webinar #58 - FOSS License Management through aliens4friends in Ecl...
OpenChain Webinar #58 - FOSS License Management through aliens4friends in Ecl...
 
Maturity Models - Open Compliance Summit 2023
Maturity Models - Open Compliance Summit 2023Maturity Models - Open Compliance Summit 2023
Maturity Models - Open Compliance Summit 2023
 
OpenChain Annual Report 2023 - Key Metrics Slides
OpenChain Annual Report 2023 - Key Metrics SlidesOpenChain Annual Report 2023 - Key Metrics Slides
OpenChain Annual Report 2023 - Key Metrics Slides
 
OpenChain Webinar 57 - The Open Source Initiative - 2023-11-27
OpenChain Webinar 57 - The Open Source Initiative - 2023-11-27OpenChain Webinar 57 - The Open Source Initiative - 2023-11-27
OpenChain Webinar 57 - The Open Source Initiative - 2023-11-27
 
FOSSLight Community Day 2023-11-30
FOSSLight Community Day 2023-11-30FOSSLight Community Day 2023-11-30
FOSSLight Community Day 2023-11-30
 
OpenChain Webinar #56: Generative AI and Your Code
OpenChain Webinar #56: Generative AI and Your CodeOpenChain Webinar #56: Generative AI and Your Code
OpenChain Webinar #56: Generative AI and Your Code
 
From One Standard to a Family - Taiwan Work Group - 2023-08-15.pptx
From One Standard to a Family - Taiwan Work Group - 2023-08-15.pptxFrom One Standard to a Family - Taiwan Work Group - 2023-08-15.pptx
From One Standard to a Family - Taiwan Work Group - 2023-08-15.pptx
 
OpenChain Japan Work Group Meeting #28 - 2023-07-11
OpenChain Japan Work Group Meeting #28 - 2023-07-11OpenChain Japan Work Group Meeting #28 - 2023-07-11
OpenChain Japan Work Group Meeting #28 - 2023-07-11
 
OpenChain Legal Work Group - 2023-06-29
OpenChain Legal Work Group - 2023-06-29OpenChain Legal Work Group - 2023-06-29
OpenChain Legal Work Group - 2023-06-29
 

Recently uploaded

Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfBoston Institute of Analytics
 
Top 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In QueensTop 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In Queensdataanalyticsqueen03
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort servicejennyeacort
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Cathrine Wilhelmsen
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...Boston Institute of Analytics
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryJeremy Anderson
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 217djon017
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Colleen Farrelly
 
Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Seán Kennedy
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhijennyeacort
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...Amil Baba Dawood bangali
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdfHuman37
 
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...Boston Institute of Analytics
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDRafezzaman
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Boston Institute of Analytics
 
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024Timothy Spann
 
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxmodul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxaleedritatuxx
 
ASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel CanterASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel Cantervoginip
 

Recently uploaded (20)

Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
Top 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In QueensTop 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In Queens
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data Story
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024Generative AI for Social Good at Open Data Science East 2024
Generative AI for Social Good at Open Data Science East 2024
 
Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf
 
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
 
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
 
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxmodul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
 
ASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel CanterASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel Canter
 

Find and share local information easily

  • 2. The Problem • Local information is fragmented • It takes time to find things • It’s even harder in different languages
  • 3. Example • Today there is no easy, unified way to answer the questions: • "What hospital should I go to?" • "Which cafe nearby is nice?"
  • 4. The Solution • Make it easier to find, share and create local information
  • 5. Not An Original Idea • “By making it their mission to organize their specific community’s information and making it accessible online, libraries can strive to create hyper-local resources that get more granular and detailed.” http://goo.gl/rxD2Y
  • 6. Refining The Concept • Local information changes all the time • Tracking this data is a challenge that technology can address • Actually, technology can do it better than a library
  • 7. How? • Use “Open Data” as a foundation • Combine this with other information • Have one portal to access everything
  • 8. More Specifically • Use data from OpenStreetMap, Wikipedia and other resources to provide a foundation • Build a base directory from this • Have a front-end that allows people to find, create and share information on top of this
  • 9. A Converged Portal Places Events Classified Jobs Deals Social Rating
  • 10. Foundation • LAMP Stack • PostgreSQL/PostGIS/Osmosis • Wordpress + Geo + Responsive plug-ins • WPML + Types/Views/CRED/ACCESS
  • 11. New Code Script # 1 • Pull places from OpenStreetMap data • Write a Wordpress post in custom taxonomy for each place • Allow automatic updates of information from OpenStreetMap • Return updates in directory listings to OpenStreetMap upstream
  • 12. New Code Script # 2 • Pull data from Wiki(pedia)(travel) • Write a Wordpress post in custom taxonomy for each entry • Allow automatic updates of information from Wiki(pedia)(travel) • Return updates in directory listings to Wiki(pedia)(travel) upstream
  • 13. Social Links • Allow each custom post to easily be shared on major networks • Allow each custom post to record ratings and accept reviews • Where possible, also display ratings and reviews from other sources
  • 14. Ultimate Goal • Reduce the distance between people and local information to zero
  • 15. Technical Goal • Make an improved Open Source foundation for local information resources, with a particular focus on delivery to all devices and multi- language services
  • 16. Hacking Team • Shane Coughlan • Kana Fukuma • (remote servers donated by German and Italian researchers and local government)
  • 17. First Hacking Schedule • 17th, 9am to 5pm • 18th, 10am to 3pm • 19th, 9am to 5pm • 20th, 9am to 12pm
  • 18. Who Pays The Bills?
  • 19. Digital Economics • The digital economy accounts for 2.3 trillion USD (4.1%) of the G20 GDP • Global value is estimated at 16 trillion USD in 2013 • It is about 13.8% of global sales http://goo.gl/p1edk
  • 20. Same Old, Same Old • The digital economy is based on normal economic theory • Supply and demand is the key to understanding pricing • The price settles where the quantity demanded equals the quantity supplied (economic equilibrium)
  • 22. The Nutshell • The most basic case is that a new digital service appears • There is supply at a certain level, there is demand at a certain level • This determines a price that allows supply to continue and meet demand
  • 23. Digital vs Analogue • One question is how digital sales work in markets with traditional analogue sales • Another is how digital approaches become the new normal • In other words, how does “digital” work?
  • 24. In Other Words... • Digital services often disrupt analogue services • This disruption can reduce prices or change distribution/sales methods • When this happens there is an adjustment to the pricing equilibrium in a service area
  • 25. Case Study: Music • For the best part of 100 years people purchased music in physical (analogue) formats • Computers and the Internet introduced digital music, but in the early days people did not purchase these services
  • 26. An Impossible Sale • Ten years ago analogue music sales were the norm • Digital stores had no traction • Piracy accounted for almost half of content, and reduced the average consumer spend from $126 to $100 http://goo.gl/4Ba8f
  • 27. Then Came iTunes • Apple introduced a digital store in 2003 • They had the goal of becoming the
 go-to place for music • The idea was to be easy and elegant, and to make music more accessible
  • 29. Flipping The Market • By 2006, Apple had 88% of the US digital download market • By 2009, iTunes accounted for 70% of global digital music sales • By 2011, digital sales passed analogue sales with 8.4% growth vs 5% decline http://goo.gl/py7XA http://goo.gl/IRwZF
  • 30. Digital Sales Work • Apple showed that if you make it easy, people will buy digital content • The same goes for renewals: Hearst Magazine get 70% conversion rates • This is the opposite of the traditional problem of sales and re-subscription http://goo.gl/zVCP5
  • 32. Winning Case Studies • Google - Good idea, good delivery • Facebook - Good idea, good delivery • LinkedIn - Good idea, good delivery
  • 33. Google • Google has 88.8% of the search market • Its services are focused on helping people (the users) find things easily • Google watches what people do, and sends them custom advertising http://goo.gl/fDycJ
  • 34. Google’s Money • Google introduced adverts in 2000 • These now generate over 96% of revenue, or around 37.5 billion USD • What’s smart is how Google expanded advertising using technology http://goo.gl/NRQgs
  • 35. Doing Something New • Google allows traditional click- through adverts and cheap “per view” brand awareness adverts under the name AdWords • It also displays ads on third-party sites under the name AdSense • 70% of advertising revenue comes from AdWords, the rest from AdSense http://goo.gl/NRQgs
  • 36. Making Magic • The flexibility of AdWords and AdSense combined with the personal knowledge of Google user search allows businesses to focus spending • This is completely automatic
  • 37. Facebook • Facebook has 61.46% of the social network market • It helps connect people and makes it easy to share information • To make money it shows users custom advertising http://goo.gl/JbexH
  • 38. Facebooks’s Money • Facebook generates 86% of revenue from advertising, over 1 billion USD per quarter • They are now exploring new income streams like inter-user “Gifts” http://goo.gl/o4Re4
  • 39. Doing Something Better • Facebook has the same basic approach as Friendster and MySpace had • However, Facebook is focused like a laser on a great user experience • This keeps users engaged and growing (up 28% year-over-year to 584 million active per month in Q3 2012) http://goo.gl/o4Re4
  • 40. Facebook’s Shares • Facebook has a dual-class share structure • Mark Zuckerberg has 10 votes for every other shareholder’s single ballot • This allows the company to follow a vision instead of chasing quarters http://goo.gl/As63f
  • 41. Making Magic • The relatively stable (and growing) user-base means that Facebook can deliver targeted adverts to a massive audience • These adverts are easy for any person or business to purchase, even to the extent of “promoting” personal posts
  • 42. LinkedIn • LinkedIn is a “professional” networking tool with 187 million users • It helps connect professionals • To make money it sells subscriptions, hiring solutions and marketing solutions http://goo.gl/YYgEJ
  • 43. LinkedIn’s Money • LinkedIn has three sources behind its 1 billion USD revenue stream http://goo.gl/29eNz
  • 44. Doing Something Smart • LinkedIn focuses on helping professionals network with each other, and on providing services to support careers • By avoiding distractions it differentiates itself from general social networks
  • 45. Making Magic • LinkedIn has a low barrier to entry, but charges both professionals and businesses for advanced services • It has 81% revenue growth year-over- year across its products • Last year subscriptions increased 79%, hiring solutions increased 90%, and marketing solutions 68% http://goo.gl/OIJKr
  • 46. Summary • A good idea combined with good delivery leads to success in the digital economy • People like simplicity, convenience and affordability • This is pretty basic economic theory
  • 48. Little Local Economics • Local engagement is key to SME success • 49% of SME’s report local outreach brings new customers, 22% say it has good targeting, 16% say it brings repeat custom, and 14% feel it is a direct return on investment http://goo.gl/YTTbG
  • 49. Big Local Economics • Local engagement is key to large business growth too • Local search in the US is estimated to outpace the overall market by 12.1%, and local display by 16.2% between 2011 and 2016 http://goo.gl/kR98G
  • 50. Local And Mobile • 40% of mobile searches are for local information • 70% of mobile advertising will be local by 2015 • 88% of local advertising will target mobile by 2016 http://goo.gl/O2erN
  • 51. The Big Question • In the US around 100 billion USD is spent yearly on local advertising • The online market is estimated to be worth 15.5 billion USD by 2013 • How are digital companies trying to break into the market? http://goo.gl/RC20F
  • 52. Case Studies • Yelp - Good idea, bad delivery • Foursquare - Bad idea, bad delivery • GroupOn - Almost good idea, bad delivery
  • 53. Yelp • Yelp is a user-generated local review website that gets 91.4% of revenue from advertising • 76.8% of advertising is from “featured” local business • The rest is traditional advertising http://goo.gl/vUz13
  • 54. Yelp’s Big Idea • Yelp depends on the “network effect” • “Our platform helps people find great local businesses to meet their everyday needs. As more people use our platform, more of them write reviews. Each review that a user contributes helps expand the breadth and depth of the content on our platform, in turn drawing in more consumers.” http://goo.gl/vUz13
  • 55. Yelp’s Approach • Yelp has a “bowling pin” strategy • “Yelp enters a new market and begins creating profiles for local businesses (what they call ‘claimed business locations’). Users then begin to write reviews, which in turn spurs user adoption and more reviews, creating a snowball effect until Yelp becomes the definitive guide to local businesses in their market. At this point, Yelp can pitch itself as a cost-effective advertising platform for local businesses.” http://goo.gl/vUz13
  • 56. Yelp Results • Yelp has seen a yearly growth of 64% in reviews, 67% in users, 97% in business listings and 118% in advertisers • However, their sale model is staff intensive and not profitable yet http://goo.gl/vUz13
  • 57. How Big Is The Problem? • During the first nine months of 2011, Yelp had $58 million revenue and a net loss of $7.6 million • Actually, the S-1 filing from that time shows they had not made a profit in three years http://goo.gl/OVICG
  • 58. Why Is That? • User reviews alone do not give a sustainable comparative advantage • Just selling local advertising is an expensive proposition • Yelp faces big strategic threats http://goo.gl/vUz13
  • 59. And Yet... • US local businesses spent $133.2 billion on advertising in 2010, $19.6 billion of it online • 95% of all consumer spending is local • As local advertising continues to migrate online, the dominant local review provider will do very well http://goo.gl/Fe7Cx
  • 60. Potential vs Reality • The basic proposition of providing local services is good • However, the single service model (and the offered service of local advertising) is not scaling effectively • Yelp needs to refocus on higher value sales with a lower marginal cost per transaction
  • 61. Foursquare • Foursquare is a “location-based” social tool that gets 100% of revenue from advertising • These “promoted updates” are offers tied to locations
  • 62. Foursquare’s Big Idea • Location-based services allow targeted engagement for businesses
  • 63. Foursquare’s Approach • People “check-in” to places • Companies can send messages about deals or products
  • 64. Foursquare’s Results • Since introducing “promoted updates” in 2012, Foursquare generated 2 million USD in revenue • However, this missed investor expectations and company projections http://goo.gl/zjjw3
  • 65. How Big Is The Problem? • Only 8 million out of 25 million customers use the service monthly • New features like “Explore” have failed to increase engagement http://goo.gl/OVICG
  • 66. Why Is That? • User check-ins alone do not give a sustainable comparative advantage • Just selling promoted updates is not a good enough money-maker • Foursquare faces big strategic threats
  • 67. Potential vs Reality • The basic proposition of location- based services is too shallow • It’s not enough to hold users, and promoted updates therefore cannot generate enough revenue • The Foursquare service is being replaced by Facebook, Yelp and Google
  • 68. GroupOn • GroupOn is a daily-deal website that gets its revenue from businesses offering the deals • These deals depend on a certain number signing up • They are usually discretionary items http://goo.gl/AjG1x
  • 69. GroupOn’s Big Idea • Sell growth to businesses, sell a cheap new experience to customers
  • 70. GroupOn’s Approach • Companies offer discounts • People sign up to learn about deals • GroupOn mails people the latest offers
  • 71. GroupOn’s Results • At the end of 2012 GroupOn saw active customers increasing almost 37% • However, gross billings per active customer declined by 21% http://goo.gl/DbWFV
  • 72. How Big Is The Problem? • Some numbers suggest only 1% of GroupOn users become regular customers • They also say GroupOn business churn rate is up to 90%
 http://goo.gl/NMN3q
  • 73. Why Is That? • Dramatically altering Supply and Demand with massive discounts breaks the cost/benefit equation • The customer has a bad experience • The business has a bad experience
 http://goo.gl/KkYYi
  • 74. Potential vs Reality • The basic proposition of selling growth makes sense • However, the first model of deep discounts below fixed costs hurt small businesses and customers • The focus on massive discounts on discretionary items is not the future of discount vouchers
  • 75. What’s A Good Coupon? • Something that matches your market requirements regarding expansion • Something that matches your math about fixed costs • Something that encourages people to indulge (just a little)
  • 76. When The Dust Settles • Looking at these examples we can see a demand for local services but a problem with business models • It seems like no one has found the right solution yet
  • 77. Starting At Zero • The users are the community • The community is the product
  • 78. The Big Question • What parts of the community could be commercialized to create stable revenue?
  • 79. Dealing With That • Many digital companies initially focus on gaining users with free services • These users become the product • After a certain point, premium services are introduced on top of the free services
  • 80. Revenue Model # 1 • Provide a low cost way for commercial services to be discovered • These could be businesses, events, jobs or special offers • The “featured” items are layered over the Open Data foundation
  • 81. Why Is That Useful? • Businesses currently invest in analogue and digital advertising • In Japan the cost of this advertising is often high, and the services are extremely fragmented
  • 82. Example • A company might pay Living Paper 50,000 yen for advertising in one issue • They might run coupons through GroupOn at 50% cost on the sticker price • They might also seek placement in Hot Pepper listings or coupons
  • 83. Consequence • Businesses are spending a lot of money to reach their audience • Each individual effort has a high cost of conversion • In short, the investment versus the return is high
  • 84. Historical Reasons • Japanese sales are traditionally done person to person, even with low value items • There is a very high cost of conversion in this approach • This model reduces the potential to scale and refine returns
  • 85. Lack Of Evolution • Interestingly, this approach has been carried over to the digital era • Japanese companies still have high fixed costs and inefficient sales models • Yet international companies like Amazon and Apple are operating in Japan with modern models
  • 86. Conclusion • There is no evidence that the Japanese consumer dislikes simple, efficient services • They frequent companies that reduce costs by having automated, indirect sales • The problem is lack of innovation in local service provision
  • 87. Solution • By providing a converged data approach, it may be possible to reduce the cost of conversion • Each individual outreach effort will have a dramatically lower cost, and will benefit from being linked to every other outreach effort
  • 88. Put Another Way • It is possible to slot into existing spending habits and dramatically lower costs compared to competitors • The fundamental concept would be to offer a lower unit cost to a bigger market
  • 89. The Problem • Many companies are doing essentially the same thing — digitally connecting local businesses with their consumers • This is a commodity environment with severe downward pressure on prices http://goo.gl/vCSgg
  • 90. The Proviso • The local market in Japan is way behind the curve • There is still an opportunity here for local advertising revenue • It’s just not enough to sustain a business on its own
  • 91. Revenue Model # 2 • Stack several related services • This can insulate the company from market changes while adding depth to its services
  • 92. Sales Concepts • Cross-selling of related services • Continual up-selling of each individual service
  • 93. Cross-Selling • Cross-selling of related services allows each individual service to be cheap, but the potential for sales to be high
  • 94. Up-Selling • Up-selling improved versions of each individual service allows the same product to be sold to the same people many times
  • 95. But What Services? • The core proposition is to find, share and create local information • Combined with cross-selling and up- selling, it suggests a family of inter- related business services
  • 96. Digging Into The Idea • Local outreach still sounds promising • This could be premium listings, event or deal exposure (aka ads) • However, acting as a provider of digital services is also interesting • Offering web presence, taking bookings, running a store-front
  • 97. Stacking Subscriptions • Conceptually, stacked services could be offered as subscriptions • This would be a “phone bill” approach to business services
  • 98. Nutshell Time Again • The core idea would be to sell multiple inter-linked services at reasonable per-unit prices on a subscription basis • The subscriptions and distributed income would help insulate the company from market shocks
  • 99. Challenges • There is a certain level of complexity in offering any one service • Great care needs to be taken to ensure complexity does not overwhelm the business • At the same time, the selected services need to have a clear path to profitability
  • 100. Next Steps • In the context of the market, and in the context of the known digital economy, discuss which services can create a sustainable stacked offering • Assess the feasibility of applying that to the technology being developed • Determine if the technology and the economics work well together