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

Email

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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