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Sfogliare il Web: dagli obiettivi alla generazione di Digital Insight

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Page 1: From Big Data to Relevant Data

1Duepuntozero Research srl Intellectual PropertyDuepuntozero Research srl Intellectual Property

From BIG data to RELEVANT data

SMW Milan, 21 Febbraio 2013

Page 2: From Big Data to Relevant Data

2Duepuntozero Research srl Intellectual Property

The content of this presentation is our

intellectual property, as it borned from several hours

(years actually)of brainwork.

You can use it as you like, but please mention

Duepuntozero Researchas a source.

It’s

Page 3: From Big Data to Relevant Data

3Duepuntozero Research srl Intellectual Property

Chi siamo

Nati nel luglio 2008, quando Facebook contava in Italia meno di 600 mila iscritti (oggi ne ha oltre 20 milioni)

Dal marzo 2010 acquisita da DOXA, il primo istituto di ricerca nato in Italia nel 1947, oggi divenuto centro nevralgico di eccellenze italiane in ambito digital marketing

Preferred partner di Insites Consulting, leader internazionale di digital research e co-creation

We love digital opportunities

We know how to do things in

research

We deliver insightful digital

meanings

We work at global level

Page 4: From Big Data to Relevant Data

4Duepuntozero Research srl Intellectual Property

Page 5: From Big Data to Relevant Data

5Duepuntozero Research srl Intellectual Property

Big Data: tanti, veloci, fluidi, eterogenei

Page 6: From Big Data to Relevant Data

6Duepuntozero Research srl Intellectual Property

L’approccio ai Big Data

man

man

man

man

man

manman

man

man

man

man

man

woman

womanwoman

womanwoman

woman

womancarcar

car

van

cartaxi

taxi

taxi

taxi taxi

Page 7: From Big Data to Relevant Data

7Duepuntozero Research srl Intellectual Property

L’approccio ai Big Data

Le persone vanno da sole, per andare insieme scelgono lo stesso sesso

Page 8: From Big Data to Relevant Data

8Duepuntozero Research srl Intellectual Property

L’approccio ai Big Data

I flussi e percorsi delle persone seguono una logica, pur bizzarra…

Page 9: From Big Data to Relevant Data

9Duepuntozero Research srl Intellectual Property

L’approccio ai Big Data

Il posto di guida è a destra, quindi il verso di marcia è a sinistra

Page 10: From Big Data to Relevant Data

10Duepuntozero Research srl Intellectual Property

L’approccio ai Big Data

Gli scooter vengono guidati solo da uomini; le donne non guidano scooter

Page 11: From Big Data to Relevant Data

11Duepuntozero Research srl Intellectual Property

Voi cosa scegliereste?

A. Uno scooter per donne?

B. Accessori per scooter (bauli porta oggetti)?

Page 12: From Big Data to Relevant Data

12Duepuntozero Research srl Intellectual Property

Diversi utilizzi dei behavioral data

FYA FYIFYS

(For Your Action)(For Your Info)

(For Your Strategy)

classification correlation insights

Page 13: From Big Data to Relevant Data

13Duepuntozero Research srl Intellectual Property

I diversi mood verso i big data

Agency Client Researcher Big Data Specialist

Page 14: From Big Data to Relevant Data

14Duepuntozero Research srl Intellectual Property

I Big Data nel digitale: Big Social Data

28 milioni di utenti

81% iscritti e attivi sui Social Network

49% iscritti a

Forum

15% Blogger

Italia 2.0 Duepuntozero ResearchWave Settembre 2012 (1.500 casi) Utenti settimanali 18+

o in egual misura uomini e donneo la fascia di età più presente: 35-44

anni

o postano almeno settimanalmente 62% o visitano tutti i giorni 50%

o lo aggiornano almeno settimanalmente:

11%o seguono uno o più blogger con continuità:

27%o Sia giovani che adulti, uomini e

donneo Visitano spesso Yahoo! Answers 21%

Page 15: From Big Data to Relevant Data

15Duepuntozero Research srl Intellectual Property

Il web è come una cipolla!

Ciò che è scritto

Dove è scritto

Da chi è scritto

Perché è scritto

Page 16: From Big Data to Relevant Data

16Duepuntozero Research srl Intellectual Property

From Big Data to Relevant Data

Page 17: From Big Data to Relevant Data

17Duepuntozero Research srl Intellectual Property

Come si sfoglia una cipolla (senza piangere)?

1. Si parte dagli obiettivi

2. Si definisce l’architettura della SocialMediaAnalysis

3. Si identificano le tecniche di analisi

4. Si sceglie il crawler

5. Si studiano le modalità di delivery

6. Si generano consumer insights

Page 18: From Big Data to Relevant Data

18Duepuntozero Research srl Intellectual Property

Si parte dagli obiettivi

Page 19: From Big Data to Relevant Data

19Duepuntozero Research srl Intellectual Property

Si parte dagli obiettivi

Consumer Insights

Product & R&D

MKTG & Communica-

tion

Customer Care

Loyalty&Sales

Internal Communica-

tion

Recruitment & Employer Branding

Brand/Corpo-rate reputation

External Rela-tion

Social Media Scope

Co-creation for innovation

Corporate Blogs,

community of employee

Company climate and reputation

SMMktg and offline adv integration

Insight generation, needs and

trends

Digital PR, blog activation,

ambassadors

Intangible assets,

reputation

Answers and problem solvingSocial Sales,

gamification, loyalty

Page 20: From Big Data to Relevant Data

20Duepuntozero Research srl Intellectual Property

Si definisce l’architettura della SMA

ObiettiviStrumenti

AzioniRuoli

DeliveryResponsabilità

Page 21: From Big Data to Relevant Data

21Duepuntozero Research srl Intellectual Property

Si identificano le tecniche di analisi

descrittive

interpretative

Analisi del contenuto

Analisi dei trend

Analisi Netnografica

Analisi degli influencers

Analisi testuale

Analisi valoriale

Analisi semiotica

Analisi motivazionale

Digital Insigths

Page 22: From Big Data to Relevant Data

22Duepuntozero Research srl Intellectual Property

Si sceglie il crawler

Page 23: From Big Data to Relevant Data

23Duepuntozero Research srl Intellectual Property

Si studiano le modalità di delivery

Page 24: From Big Data to Relevant Data

24Duepuntozero Research srl Intellectual Property

In termini pratici…

Page 25: From Big Data to Relevant Data

25Duepuntozero Research srl Intellectual Property

Dai Big Data ai Relevant DataI processi di rilevazione automatica e on-going

… and many more

3- Delivery

Page 26: From Big Data to Relevant Data

26Duepuntozero Research srl Intellectual Property

I relevant Data per la Ricerca/Digital InsightIl metodo Online Conversation Monitor

Page 27: From Big Data to Relevant Data

27Duepuntozero Research srl Intellectual Property

La metodologia di sampling per l’approfondimento di analisi di ricerca

Tipo di fonte

News Blog

Forum

Social Network …

Aggregatori

Portali tematici

Sell&Buy

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28Duepuntozero Research srl Intellectual Property

La metodologia di sampling per l’approfondimento di analisi di ricerca

Importanza Emittente

News

Page 29: From Big Data to Relevant Data

29Duepuntozero Research srl Intellectual Property

La metodologia di sampling per l’approfondimento di analisi di ricerca

Attività e Viralità

News

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30Duepuntozero Research srl Intellectual Property

La metodologia di sampling per l’approfondimento di analisi di ricerca

News

Topic

Page 31: From Big Data to Relevant Data

31Duepuntozero Research srl Intellectual Property

Il modello di classificazione dei contenuti

Page 32: From Big Data to Relevant Data

32Duepuntozero Research srl Intellectual Property

User Generated Book Campari

Online Conversation MonitorTM

Klout Score: 63

A proposito di Comunicazione User Generated…

Page 33: From Big Data to Relevant Data

33Duepuntozero Research srl Intellectual Property

A proposito di sentiment

contenuto

tonocontesto

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34Duepuntozero Research srl Intellectual Property

Le analisi

Page 35: From Big Data to Relevant Data

35Duepuntozero Research srl Intellectual Property

Il delivery

Page 36: From Big Data to Relevant Data

36Duepuntozero Research srl Intellectual Property

… ma il vero delivery è il Digital Insight!

Consumer understandin

g

Marketing & Communication

Digital Strategy

Digital Reputation

Page 37: From Big Data to Relevant Data

SENTIMENT FOR BUSINESS

Pepe Moder

PIRELLI DIGITAL FOR SOCIAL MEDIA WEEK

Page 38: From Big Data to Relevant Data

BUSINESS Efficiency and effectiveness are the key factors for any digital funnel

ECOMMERCE Continuous improvement based on feedbacks daily collected on the spot all over the net

MARKETING You can collect precious insights and anticipate market needs. On the other side, you can prevent slippery problems.

BRAND There is often a huge distance between what do we think about ourselves and what our customers perceive

R&D Your customers are the best beta testers of what you sell

WHY SHOULD WE MEASURE SENTIMENT?

Page 39: From Big Data to Relevant Data

THE STAKEHOLDERS IMPACT

• Commercial• Communincation• Marketing

Strategic goals

• Owned• Earned• Paid

Actions

• Rational data: traffic• Qualitative data: sentiment

Analitycs measurement

• Business analisys impact• Budget allocation• Strategic plan

Stakeholders deck

Page 40: From Big Data to Relevant Data

Analitycs Manager• Fully dedicated

resource

2.0 RESEARCH• Responsible for

ITA / DE / BR / FR

ATTENTION US• In charge for the

english universe

MONITORING PLATFORMS• TRACX• RADIAN 6

WHO DOES WHAT

Page 41: From Big Data to Relevant Data

• Rules the analitycs platform• Constantly measures all the kpis related to any digital project

and proposes corrective interventions• Support the agencies to achieve their delivery• Is respnsible of the molthly reports• Gives a help to read the data

• Ideal profile: 35 y.o., at least 3 years prevous experience in similar position and from 6 to 8 years digital experience. Previous experience in the platform industry is preferrable (Clarabridge, Google, etc.).

ANALITYCS MANAGER PROFILE

Page 42: From Big Data to Relevant Data

THE BIG PICTURE

PeriodicalReports

Dashboard

Project Optimization

Traffic data(web sites)

Analytics Platform

Personal Data(CRM)

Sales Data(Sales)

Digital ADV Data(Media Center)

Behavioral Data(Social Media)

Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing the digital ecosystem

Page 43: From Big Data to Relevant Data

GEOGRAPHICAL COVERAGE

DATAHOMOGENEITY

SOURCES INTEGRATION

HISTORICAL ANALISYS

INTERNAL SENSITIVITY

WORK IN PROGRESS

Page 44: From Big Data to Relevant Data

Thank you ;-)Pepe Moder

Digital Director – Pirelli

My mail: [email protected]

My Skype: Imaginars

My Facebook: pepe.moder

My twitter: pepe_moeder

My Blog: www.intranos.info

PIRELLI DIGITAL FOR SOCIAL MEDIA WEEK

Page 45: From Big Data to Relevant Data

45Duepuntozero Research srl Intellectual Property

Grazie!

How to deal with Big Social Data?

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