Todd Lloyd – Senior Director, DataSift

@ToddRLloyd

todd.lloyd@datasift.com

Welcome to theSocial Revolution

#SDWK13

Agenda

Social Data and the

Enterprise

The DataSift Platform and

Value

Use Cases and Examples

Welcome to the Social

Revolution

2.5 Billion People

67% of Internet Users on Social Networks.

#sdwk13

Source: IDC, Mary Meeker KPCB

Data

Share

d (

Zett

ab

yte

s )

9x Growth in Shared Content in 5 years

3.2Bn Facebook Likes

500M Tweets

100M Instagram Photos

250M Tumblr Posts

200M Bitly Clicks

70M+ Blogs, Forums

The Long Tail – Ravelry.com

3.2 Million Users

#sdwk13

Creating a wealth of data outside your enterprise

#sdwk13

- Jack Welch, Former CEO, GE

There are only two sources of competitive advantage: the ability to learn more about our customers faster than the competition and the ability to turn that learning into action faster than the competition

Vast, Real-time Data Volumes

Problem: Social Data is Big Data Integrating into

each social network

Integrating Social with other

data

Extracting insights from text

Filtering out the noise

Anatomy of a Single Tweet

Companies starting by listeningEarly days – try to understand what is going on

Simple tools to search

for brand #keywordsEngage & Respond

Report back

#sdwk13

Enterprise Proliferation of Social

Average Enterprise has

178 Social Account13 Departments

Actively Engaged in Social Media

#sdwk13

Social Data

Business Data

Social Data is not an Island.Need to integrate business data to see whole picture

Research

Marketing & Sales

Customer Service

Product Development

Customer Feedback

Competitive Campaigns

Customer Sentiment

Customer Interests

Customer Intent

integrating Transactions with

Interactions

Customers

Purchases#Social

Engagement

Interests

Insid

e yo

ur b

usines

s

Outsid

e yo

ur b

usines

s

Opinions

Analytics Revolution

#sdwk13

10 Steps to Extracting Value from Social Data

1. Aggregate 2. Structure 3. Enrich 4. Filter 5. Deliver 6. Integrate7. Analyze8. Visualize 9. Share 10. Act

DataSift does this

Google does this

Tableau does this

You do this!#sdwk13

We Enrich Social Data with up-to 400 data items

We do this 15,000 times / second

Gender Age Range HometownInterests

Filter to extract relevant Social Data

Create Sophisticated Filters with 1,000s of criteria

Social Apps Social Apps Enterprise Platforms

Deliver it for analysis and action

We make it easy to get started with Social

Capturing data from hundreds of sources

Real time data

Historical data

Compliant and at scale

DataSift Powers the Social EcosystemDataSift + Tableau for Visual Social

Analytics

Integrate Business Data with

Social Data

Leverage your BI Platform for

Social Insights

DataSift powers 100s of Businesses

What are common use cases?

Objective Description Common Outcomes

FeedbackListen to what people are saying about

your company, products or services

Improve Company reputation, service, products, morale and reach by understanding sentiment and trending topics across category

UnderstandUnderstand your customers, their

interest, activities and events

Improve Customer engagement, promotion, positioning, pipeline and association by

understanding customers better

Benchmark Assess your Industry and competition

Improve Competitive advantage by understanding competitors, industry and

trends

OperationalUse social data to improve impact on

business objectives

Improve Effectiveness on business results by measuring social activity impact on key

business metrics

Predictive

Predict events/outcomes to optimize decision making and resource

management

Improve Efficiency, resource utilization and decision making by using social data response

as predictor for events and outcomes

http://www.nypost.com/p/news/business/no_sachs_appeal_fji8rAnH1UkZtMUFDQZfXL

Feedback to Improve Products & ServiceNet Promoter Score across 37 Product-

Lines

150 Metrics influence Social Advocacy

Score

Product-Teams Proactively Respond to

Issues

Understand your market for AdvertisingWhat sites are most shared on Twitter by 18-24yr old Brazilians

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

Ask.fm a fast-emerging destination for 18-24 yr olds in Brazil

#sdwk13

Understand Burberry’s Social Followers

Industry BenchmarkAirline Social Responsiveness to Customer

Issues

Operational - Click-traffic+SocialHow did Dove Campaign go viral?

USAFacebook Mobile37% of Traffic

USAFacebook Web

USADirect Traffic

USAUpworthy.com

USATwitter

UK

BR CA

GR

NL

Predictive Models based on Social Signals

Correlate Box Office Revenues with Social Interest & Intent.

PredictivePlayer popularity drives demand= Optimize Supply Chain

Platform For The Social Economy

Our Vision: Make Social Data Core to the Enterprise

Increasingly, the most valuable data for your business sits outside your organization, not inside it.

Big Social Data Insight will become a key basis for competition.

DataSift will be the leading customer & marketing data delivery platform to help companies respond to this

opportunity.#sdwk13