Bootstrap Big Data Webinar
- 1. Catch the Big Data Wave Please tell us briefly what you are hoping to learn from this webinar, so that we can better tailor our presentation to our audience. You may use the Q&A box to communicate with us. Please send your correspondence to All Panelists.
- 2. Presented by Catch the Big Data Wave Martyn Crew, Founder and CEO
- 3. Snap Poll Do you have any big data initiatives underway? Yes No Planned Not sure
- 4. 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
- 5. What is big data? The 3 Vs
- 6. Volume New sources e.g. web logs, social media Saving more data at raw level for better analysis
- 7. Velocity
- 8. Variety
- 9. Presented by Why is big data important to your customers?
- 10. 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
- 11. 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
- 12. Customer view
- 13. 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
- 14. Presented by Big Data … … Big (Marketing) Problem
- 15. Poll Question Who do you thinks owns big data for most of your customers? CEO CIO CFO CMO Don’t know
- 16. 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
- 17. Presented by Big Data Ecosphere and Customer’s Options
- 18. Big data ecosphere - Wikibon Source: Wikibon 2012
- 19. Big Data today - Ventana October 24, 2012
- 20. 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
- 21. Presented by Who’s Making Money from Big Data?
- 22. Breakdown by sector - Wikibon Wikibon , 2012
- 23. Breakdown by category - Gartner
- 24. Presented by One More Thought…
- 25. 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
- 26. Presented by How do you make money from big data?
- 27. 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
- 28. 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
- 30. Public Cloud Public Scalable, easy to get going Highly functional Becomes prohibitively expensive Dominated by Amazon (AWS) Rackspace a strong contender Emerging open source plays e.g. OpenStack
- 31. Private Cloud Private VPN meets Cloud Addresses security, privacy and cost concerns of public cloud Leading players Amazon, Cisco, IBM, Microsoft, Rackspace, VMware Challengers – Eucalyptus, Nimbula
- 32. NoSQL Options NOSQL NoSQL movement is emerging from open source world NoSQL = Not Only SQL Good solution for web apps not so good for big data analytics