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BentoGarcia Digital Research | Social data

Date post: 14-Jun-2015
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“Social Data: más allá de un like”, casos reales de uso del Social Data para descubrir tendencias, insights y patrones de conducta.
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SOCIAL DATA , Más allá de un © 2013 The Valley Digital Business School www.thevalley.es 1
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Page 1: BentoGarcia Digital Research | Social data

SOCIAL DATA , Más allá de un

© 2013 The Valley Digital Business School www.thevalley.es 1

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2 © 2013 The Valley Digital Business School www.thevalley.es

“EVERYTHING IS OBVIOUS WHEN YOU KNOW WHY”

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3 © 2013 The Valley Digital Business School www.thevalley.es

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© 2012 The Valley Digital Business School www.thevalley.es 5

SOCIAL DATA ,Más allá de un

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6 © 2013 The Valley Digital Business School www.thevalley.es

EL ser SOCIAL es intrínseco en el ser humano. Durante miles de años, el ser humano ha sido social

Lo que esta cambiando es la MANERA en como nos socializamos.

Y este cambio esta siendo producido por la TECNOLOGIA

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7 © 2013 The Valley Digital Business School www.thevalley.es

PLAZA DE SAN PEDRO, ROMA.

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8 © 2013 The Valley Digital Business School www.thevalley.es

PLAZA DE SAN PEDRO, ROMA.

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9

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© 2013 The Valley Digital Business School www.thevalley.es

EL SOCIAL DATA ESTA ESTALLANDO

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10 © 2013 The Valley Digital Business School www.thevalley.es

DURANTE LOS 2 ULTIMOS AÑOS SE HA GENERADO EL 90% DE LOS DATOS DE LA HISTORIA DE LA HUMANIDAD

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Source: IDC, Mary Meeker KPCB

Data

Share

d (

Ze

tta

byte

s )

9x ha crecido el Shared Content

3.2Bn Facebook Likes

500M Tweets

100M Instagram Photos

250M Tumblr Posts

200M Bitly Clicks

70M+ Blogs, Forums

0

2

4

6

8

2009 2010 2011 2012 2013E 2014E 2015E

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12 © 2013 The Valley Digital Business School www.thevalley.es

SOLO EL 1% ESTA SIENDO ANALIZADO

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Hay un mar de oportunidades ante nosotros

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14 © 2013 The Valley Digital Business School www.thevalley.es

QUE NO SE ESTAN APROVECHANDO HASTA AHORA…

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- Jack Welch, Former CEO, GE

Sólo hay dos fuentes de

ventaja competitiva: La

habilidad de aprender de

nuestros consumidores antes

que la competencia y la

habilidad de convertir ese

conocimiento en acción antes

que nuestra competencia

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Inmensos volumenes

de información en

real-time

Problema 1:

Social Data es Big Data Integración de diferentes

redes sociales

Integrar Social Data con

otros datos

Extraer insights de

textos e imágenes

Filtrar el ruido

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Anatomía de Tweet

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Que se puede enriquecer con 400 datos más

Gender

Age Range

Hometown

Interests

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Y que hay que filtrar para extraer información

relevante

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Problema 2:

Social Data NO es

cuantitativo

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Social Media Data

no es

Web Analytics

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No son datos

cuantitatívos

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Son datos

cualitatívos

en una escala

cuantitatíva

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No es “Social Media”

es “Social Media Data”

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Se necesita

“Social Science”

no

“Media Monitoring”

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Es

“Etnografía Digital”

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Necesitamos nuevas medidas más allá del

keyword tracking, tales como:

-Audience mapping

-Content difussion

-Social simulations

-Social conectedness

-Social modularity

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Es

“Etnografía Digital”

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Para entender COMPORTAMIENTOS, TENDENCIAS Y

PREFERENCIAS

• Political Research (preferencias y futuros

comportamientos)

• Marketing Research (actitudes y preferencias de

compra)

• Customer Segmentation (patrones de conducta)

• Y otros research que tengan que ver con

comportamientos, preferencias y/o actitudes

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Companies starting by listening Desde hace años llevamos intentando analizar esto

Herramientas simples

que seguian kw

Marca/Competencia

Seguimiento Manual

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© 2012 The Valley Digital Business School www.thevalley.es 31

8.523

4.251

109

285

316

71 / 45.842 V

26 / 22.047 VL

SIEMPRE CUANTITATIVO

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TENEMOS QUE PASAR…

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…DE LO EVIDENTE

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HURACAN SANDY

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HURACAN SANDY

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AL CONOCIMIENTO

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HURACAN SANDY

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HAY QUE USAR TODAS LAS DIMENSIONES DEL SOCIAL MEDIA

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ANALIZAR LA CERCANIA

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Física&Moda

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ANALIZAR LA VELOCIDAD

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Entender el mercado en realtime

¿Qué sites están siendo más shared en Twitter por los brasileños entre

18-24 años el 15 de Junio del 2.013?

June 15th 2013 - 24-hour snapshot of links shared on Twitter based on Demographic Profiles

0 1,750 3,500 5,250 7,000

Tumblr

Facebook

Instagram

Ask.fm

YouTube

FourSquare

Twitter

Bitly

Unfollowers.me

Whrt.it

Male Female

Ask.fm es una nueva

tendencia para los jovenes

brasileños

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DESCUBRIR PATRONES DE CONDUCTA

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'Social fMRI' app from MIT can predict

its users’ behaviour –source

Niemanlab.org

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47 © 2013 The Valley Digital Business School www.thevalley.es

SEGMENTAR Y PROFILING

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50 © 2013 The Valley Digital Business School www.thevalley.es

CORRELACIONAR Y PREDECIR

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Modelo Predictivo basado

en Social Signals

Correlaciona ingresos en

taquilla con Social Interest

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DESCUBRIR INSIGHTS

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CASE STUDY 1: VIDEOS VIRALES

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CASE STUDY 2: DATING SITES

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Se analizaron 36.000 imágenes

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Y se correlacionaron con los resultados

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Mirada de flirteo sin sonreir, esa es la ganadora

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Las mujeres prefieren que no haya contacto visual

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Parece ser que esta mirada produce misterio

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Decisión importante, ¿Sólo cara…?

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Los hombres quieren ver el plano completo

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En segundo lugar, mostrar abs

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Sólo afecta la edad, a más joven más abs

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Sorprendentemente, da igual…

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Parece que lo importante es captar el interes

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No es fácil analizar esta cantidad de data

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Los porcentajes son demoledores

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MUCHAS GRACIAS A…

• www.gnip.com

• www.datashift.com

• www.facegroup.com

• www.outliers.es

• www.bitly.com

• www.foursquare.com

• www.okcupid.com

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Me gustaría despedirme con una canción…

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