This document introduces social data day London and discusses the growth of social media. It notes that 1.7 billion people are on social networks, representing 67% of internet users. Social media engagement occupies 13 minutes of every UK internet hour. The document discusses how social media has fueled a data and analytics revolution by creating vast amounts of user data and interactions outside of traditional business silos. It frames social media data as big, fast, complex and unstructured. Examples are given of companies using social listening and analytics to improve marketing, product development and customer loyalty. The challenges of analyzing social media data due to its scale, noise and lack of structure are also mentioned.
5. 32M Facebook users in UK
1 in 6 people in UK on Twitter
78% of European Internet Users on
Facebook
13mins of every UK Internet hour is Social
6. Data Shared (Zettabytes )
Social Revolution is a
Data Revolution
9x Growth in Shared Content in 5 years
3.2Bn Facebook Likes
500M Tweets
100M Instagram Photos
Source: IDC, Mary Meeker KPCB
250M Tumblr Posts
200M Bitly Clicks
70M+ Blogs, Forums
7. Fueling an Analytics Revolution
Customers
from
Transactions to
Interactions
Purchases
#Social
Interests
Profiles
Engagement
Opinions
9. Big Questions
What are the opportunities (and challenges) ?
What kind of skillsets and tools are required ?
Where would you start ?
Why start now.
10. Agenda
14:00 - Introduction – Rob Easton, Head of Enterprise Cloud Platform UK
Sales, Google
14:10 - Welcome to the Social Revolution - Tim Barker, Chief Product
Officer, DataSift
14:30 – Big Conversation Challenges are Big Data Opportunities – Rishi
Kumar, Director of Analytics, Unilever
14:55 - Panel Discussion: Social Data in Business
15:40 - Break
15:55 - Google and Big Data - Brad Kilshaw, Head of Enterprise Cloud Platform
Partners, Google
16:15 - Using Social Analytics for Insight - Andy Cotgreave, Social Media
Head, Tableau
16:35 - Wrap up discussion / Q&A
11. Welcome to the Social Economy
Tim Barker, Chief Product Officer
DataSift, @timbarker
12. Social went mainstream
1 in 4 people on planet
22% of all time online
>75,000 items
of public social data every
second
14. Early Days: Try to Understand Whatby Happening
is listening
Companies starting
Simple tools to search
for brand #keywords
Engage & Respond
Report back
15. Today - Companies are mining
social data to make better
decisions
World’s 3rd largest retailer
Social Signals drive Advertising
and store inventory
Most successful pre-Christmas
shopping week in the company’s
history
16. Twitter has become the high-speed news
network:
1 Tweet. $10Bn in value.
17. Analyzing Social is not like any other
business data.
Big &
Fast
Complex &
Unstructured
Noisy
18. Social Data is complex & unstructured
A Single Tweet can contain 120+ data items
19. “It’s impossible to overstress
“It’s not information overload.
this: filter failure.” - Clay Shirky.
It’s 80% of the work in any
data project is in cleaning the
data.” - DJ Patil, former LinkedIn Chief Scientist
20. We enable companies to operationalize
their social analytics
Real Time + Historic
21. We partner with
social networks to
consume their public
data in real-time and
historically.
We provide
enterprises with an
advanced social data
mining platform to
extract data for
analysis.
22. What does social data look like?
We do this
You do this
#DigitalMarketingShow
23. What can Social Data tell you?
a. Known Knowns
b. Known Unknowns
c. Unknown Unknowns
25. Dell uses Social to Improve Products
Increased Customer Loyalty by 39%
38,000 Social posts every day on
Dell
Measure Net Promoter Score
across 37 Product-Lines
150 Metrics influence Social
Advocacy Score
Product-Teams Proactively
Respond to Issues
#sdwk13
26. Brands use Social to Identify Opinion Makers
Influencer Modeling in HD
Identify conversations
around a focused topic
Track key topics and
influencers that are leading
and influencing
25
#sdwk13