Catch the Big Data Wave

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Presented by

Catch the Big Data WaveMartyn Crew, Founder and CEO

Snap Poll

Do you have any big data initiatives underway?

Yes No Planned Not sure

Agenda

What is Big Data? Why is it Important to Your Customers? The Big Data Ecosphere Who’s Making Money from Big Data? Big Data isn’t always BIG Q&A

What is big data? The 3 Vs

Volume

New sources e.g. web logs, social media

Saving more data at raw level for better analysis

Velocity

Variety

Presented by

Why is big data important to your customers?

Consultants vs. real world

The McKinsey View Save everything Bring in the data

scientists (or McKinsey consultants)

Look for correlations – find transformation nuggets of data

Consultants vs. real world

The Real World View Save what makes sense Save more of it because more

data = better trend analysis Analyze it faster Cross-reference existing data

e.g. CRM data with new data sources such as social media to gain more insight

Customer view

Big data - more and better BI

Have all your information at your fingertips

Unify all your analytical time horizons

Enable more powerful business applications e.g.

customer experience optimization

Enable faster answers using interactive analysis,

modeling or unstructured data

Presented by

Big Data …… Big (Marketing) Problem

Poll Question

Who do you thinks owns big data for most of your customers?

CEO CIO CFO CMO Don’t know

Who owns big data?

16

•Social media analytics

•Social CRM

•Brand monitoring

•Sentiment analysis

•Marketing campaign optimization

•Customer experience management

•CRM next best action

•Customer churn mitigation

•Loyalty & promotions analysis

•Behavioral analytics

•Influencer analysis

•Ad placement optimization

•Financial risk analysis

•Supply chain optimization

•Defect tracking

•Device monitoring

•Root cause analysis•IT log analysis

•Event analytics

•Network analytics

•BI

•DW

•ETL

•Advanced analytics

•Data science

•Content optimization

•Compliance monitoring

Presented by

Big Data Ecosphere and Customer’s Options

Big data ecosphere - Wikibon

Source: Wikibon 2012

Big Data today - Ventana

October 24, 2012

Emerging big data options

Scalable, easy to get going

Highly functional Becomes prohibitively

expensive Public vs.

Private

Distributed low cost storage solution

Big data = Hadoop for many companies

A collection of open source technologies

Many flavors

Cloud

Presented by

Who’s Making Money from Big Data?

Breakdown by sector - Wikibon

Wikibon , 2012

Breakdown by category - Gartner

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One More Thought…

Big isn’t always BIG

“Big to me” or “medium data” Big is relative Big data may only be about

one V e.g. variety Big is whatever customers

don’t have systems, skills,money or time to handle

Presented by

How do you make moneyfrom big data?

7 Steps…

1. Talk to your customers

2. Develop value proposition and messaging

3. Test with customers e.g. survey, interviews

4. Refine message

5. Develop roadmap

6. Align product to messaging

7. Talk to your customers

About Bootstrap

100% high-tech focused Content, content, content Deep technical and product marketing

experience in all things data related Customers include Actian, AsterData,

Informatica, Jaspersoft, Kickfire, Lenovo, Metric Insights and Treasure Data

Questions?

martyn@bootstrap-mktg.com

800 595-4965

@bootstrapmktg

Q&AQ&A

Public Cloud

Public Scalable, easy to get goingHighly functionalBecomes prohibitively expensiveDominated by Amazon (AWS)Rackspace a strong contenderEmerging open source plays e.g. OpenStack

Private Cloud

Private VPN meets CloudAddresses security, privacy and cost concerns of public cloudLeading players Amazon, Cisco, IBM, Microsoft, Rackspace, VMwareChallengers – Eucalyptus, Nimbula

NoSQL Options

NOSQLNoSQL movement is emerging from open source worldNoSQL = Not Only SQLGood solution for web apps not so good for big data analytics