High-Performance Analytics in the Real World
#SeizeTheData#HighPerformanceAnalytics
Jeff Healey, Director of Product Marketing
HPE SW Big Data
No Compromises, No Limits with HPE Vertica
Discover cures Extend life expectancy Improve customer
experience
Create a greener planet Deliver better, smarter
products
Use Case: Deriving Maximum Value from Your Enterprise Data Warehouse
Drive Down Cost with Vertica
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 4/12/20164 © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
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Challenge
Deploy cost-effective analytics platform to run workloads that support strategic business decisions
SolutionHPE Vertica
Five-Year Cumulative Benefits
• $63.38m benefit
• ROI of 657% and pay back in 4 months
• Improved performance at 2% the cost of legacy solution
• 140% improvement in data compression
• 97% reduction in time needed to run complex queries
• 20% productivity gain for data warehousing team
Changing the Economics of the EDW with Big Data
Use Case: Customer Analytics Customer Insights with Vertica
• Online and Mobile – Improve
effectiveness of Web properties
and increase conversions, sales
• Retail – Target individuals for
upsells and cross-sells based
on actual purchase patterns
• Financial Services – Know
how customers use different
banking programs to develop
targeted campaigns that
increase customer satisfaction,
increase profits, and reduce
churn
Who is Criteo?
Criteo is the biggest tech company
you’ve never heard of.
Criteo: what we do
Criteo is a Performance Advertising Company
We drive conversions for our advertisers across multiple channels
Banner Ads
Mobile
Search
We pay for displays, charge for traffic to our advertisers and optimize for conversions
With a 90% retention rate, our clients love us!
Criteo: data scale
– 3 Billion ads served per day
– 50 Billion events logged per day
– 25 TB generated per day
Scale of the Analytics Stack at Criteo
25+ TB ingested / day
1000+ jobs / day
5+PB
UnderManagement
100+ Analysts
200+ Engineers
1000+Sales and Ops
SupercellMobile gaming company leads with creativity supported by data
Challenge
– Adopt real-time gaming data analytics platform
Solution
– HPE Vertica Analytics Platform
Result
– Queries reduced from two to four hours to minutes or seconds
– Solution successfully met cloud deployment requirement
– Expanded data capacity from a few months to whole lifetime of data
– Analytics improved customer service by augmenting player support
Otkritie BankCustomer analytics for the financial industry
Challenge
– Needed fast analytics and a data warehouse to provide continuous load of operational data across Russia, from all lines of business
Solution
– HPE Vertica Analytics Platform
– + SAP BO BI Suite, Oracle GoldenGate, Easy Loader
Result
– Same-day monitoring of risk strategy execution for lending process, improves control over risk strategy efficiency
– Operational monitoring for consumer lending KPIs, provides understanding of actual variances for business process and actual conversion rates in customer funnel
– Allows “breakthrough thinking,” new strategies for event reporting and abnormalities monitoring
Use Case: Operations AnalyticsFrom Big Data to Knowledge with Vertica
• Optimize business and reduce
expenses by identifying costs
and revenue leakages
• Better segment customers to
provide more targeted
marketing spend with insight to
predict churn, cross-sell
opportunities, and quality of
customer experience & value
• Improve operational
efficiencies by predicting
capacity issues and impact of a
new service launch
KDDI HPE Vertica delivers real-time analysis of huge data volumes
Challenge
– Maintain and improve good customer service by speeding up analysis of increasing volumes of call data
Solution
– HPE Vertica Analytics Platform
Result
– Reduces database search time from three minutes to just ten seconds for significantly faster resolution of service problems
– Enables 24x7 high-speed data loading, compression rate up to 90%
– Supports rapid identification and resolution of service problems; improves customer service and helps KDDI be more competitive
Lancope, Inc.Operations analytics in network security
Challenge
– Sales to larger enterprise customers required scalable, high-performance solution to keep up with increasing data volume
Solution
– HPE Vertica Analytics Platform
Result
– Gains capacity to scale its StealthWatch FlowCollector to capture up to 120,000 flows per second, aids system in processing three million flows per second
– Provides platform for company to sell to larger enterprise customers
Use Case: Health Care AnalyticsDeliver Improved Health Care with Vertica
• Optimize processes to speed
delivery of care and eliminate
waste and error
• Predict healthcare and
utilization costs and track
comparative benchmarks for
hundreds of quality measures,
including Medicare requirements
• Improve effectiveness of health
systems, drive deeper insights
into their systems and patient
treatments and improve
effectiveness of physicians and
hospitals they support
Cerner CorporationHPE Vertica helps to optimize health information solutions
Challenge
– Improve efficiency and quality of patient care with better productivity of clinician users
Solution
– Cerner Millennium health care platform
– HPE Vertica Analytics Platform
– Hadoop
Result
– 6,000% faster analysis of timers helps Cerner gain insight into how physicians and others use Millennium and make suggestions about using it more efficiently so users become more efficient physicians
– Rapid analysis of 2 million alerts daily enables Cerner to know what will happen, then head off problems before they happen
Human genome sequencing and medical research centers in New York
Diagnose disease and develop more effective treatments for patients
Challenge
– Scalable platform to handle 16 TB of data output per day
– Solution must be cost-efficient and support cutting-edge research
Solution
– HPE Vertica Analytics Platform
Result
– Ability to house output from deployment of Illimina HiSeq X Ten genome sequencing appliances
– Functionality to support the enormous amounts of data sequencers generate
– Query speed to correlate output for time-sensitive reporting
– Cost-savings with software that runs on off-the-shelf hardware
Use Case #5: Sensor Data AnalyticsUnlocking the Massive Potential of Sensor Data with Vertica
• Predictive Maintenance –
Proactively manage
maintenance, improve reliability,
reduce unplanned service work,
and mitigate risk
• Usage-Based Insurance –
Offer drivers better rates based
on their actual driving behavior
• Smart Metering – Establish
competitive differentiation and
improve retention by enabling
customers to monitor and view
consumption
Eesti EnergiaEnterprise data warehouse modernization in energy & utilities
Challenge
– Slow data loading was inhibiting timely reporting and market trading
– Too much time spent on database and query optimization
Solution
– HPE Vertica Analytics Platform
Result
– Data load times faster than competitors, complex queries 25 times faster with HPE Vertica – more timely marketplace interaction
– With pricing and consumption data more rapidly available, traders can make a better decision and find better values
– Move to smart metering is generating massive amounts of automatically reported data. HPE Vertica can handle increased demands for loading and querying with ease
Nimble StorageFlash solutions company maximizes operational data; realizes $2.31 million annually
Challenge
– Perform analytics on more than 1.5 petabytes of customer product and performance metadata to fine-tune and continue leading-edge product development and evolution
Solution
– HPE Vertica
– HPE Software Professional Services
Result
– Attain approximately $2.31 million annually in benefits: greater revenue, unnecessary IT hardware costs, and increased employee productivity including 50% gain for data scientists
– Provide a 447% return on investment (ROI) over a projected five-year period with payback period of 6.8 months
– Avoid cost of 100 servers over three years with reduction of data volume
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Thank you
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