Many organizations are pursuing Big Data projects that solve old problems with new solutions and help them reduce costs. Cost reductions are typically driven by decreased development effort using developer-friendly technologies, cost-efficient software and commodity hardware. A Tier 1 bank is saving $40 million over 5 years by migrating its reference data management application off of legacy relational technology. A global company in the travel industry is reducing infrastructure costs by orders of magnitude using commodity, scale-out hardware in conjunction with leading open-source software. Considerations for Decision Makers: In this webinar, you will learn how different Software Licensing Models can impact the Big Data technology selection process.

1. Thriving With Big Data
Part 4
Save Money

2. 2
• Thriving With Big Data
• 5 Parts, ~15 min each
– Build Apps You Couldn’t Build Before (July 16th)
– Adapt in a Competitive Market (July 23rd)
– Make Customers Happy (July 30th)
– Save Money (August 6th)
– Considerations for Decision Makers (August 13th)
• Fun, lively discussion + QA Session
• Customer examples + considerations
About This Series

3. 3
• Considerations for Big Data and Customer Satisfaction
– Developer Appeal: Who wants to use it?
– General Purpose vs. Niche: Leverage your investment
• Customer Stories
– MetLife delivers 360-degree view of 100M+ customers
– The Guardian gets the right content to its readers in real time
Last Time (Part 3): Make Customers
Happy

4. 4
• Considerations for Saving Money
• Customer Stories
• Takeaways
Part 4: Save Money

5. 5
Proprietary Cloud Open-Source
Consideration – Software Licensing
Model

6. 6
Consideration – Hardware
Architectures
Then: Scale Up Now: Scale Out
Price
Scale
Price
Scale

7. 7
• Saves $40M over 5 yrs
• Time-to-analysts from
36 hours to 10 minutes
• No regulatory penalties
• Fewer systems
• Up-to-date data
Example: Tier 1 Investment Bank
Reference Data Mgt.

8. 8
• Saves 50% on development costs
• Saves 67% on storage
• Gets to market 4x faster
Example: Telefonica

9. 9
• Reduces infrastructure
costs by orders of
magnitude
• Stored data in many places,
formats with RDBMS
• Consolidated and migrated
to commodity storage with
MongoDB
Example: Global Travel Company

10. 10
• Software Licensing Model
– Cost efficiency
– Flexibility and openness
• Hardware
– Scalability
– Capacity planning
• Reducing Costs
– Mitigate major sunk costs
– Look at the entire picture – software, hardware, dev/admin
Takeaways

11. 11
• Tuesday, August 13th 10:00AM PDT / 1:00PM EDT / 5:00PM
UTC
• Review of Considerations for Decision Makers
– Online vs. Offline Big Data
– Community
– Agility
– Developer Appeal
– General Purpose vs. Niche
– Software Licensing Models
– Hardware Architectures
Part 5: Considerations