come fare business con i big data in concreto

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

HP SoftwareBig Data platform vision and strategyGuido PezzinHP Software Big [email protected]

SOFTWARE INNOVATION CONFERENCECome cambia la natura del business delle aziende e l’industria del software

Milano, 25 Maggio 2015


Data is your organization’s most strategic asset...but how do you unleash that value?

Monetize

Differentiate

Personalize

Monitor

Meter

Optimize

Predict

Explore

Serve

Act

How toturn

yourdata

intoan

asset?


It takes a Big Data platform to “cash in” your data assets

• Only .5% of data in the average organization is tagged and analyzed

• Information silos - everywhere

• Tools for finding and understanding information, tied to origin and format

• Queries take too long and are too rigid,difficult to uncover opportunities, patterns or unexpected threats

Siloed data challenge• Ad hoc discovery—find what’s in the data without

pre-structuring

• Ubiquitous but secure data access

• Real time data collection and analysis, any format, any data source

• An extensible platform to harness100% of your data, on-premise, in the cloud

Big Data platform answer


Vision: Deliver the industry’s best Big Data platform.

Mission: Capture the hearts and minds of developers and enterprises, by enabling them to harness100% of their data to create actionable insights, products and services that create value, delight consumers and enrich lives.

Offering: An extensible platform that combines the best of Vertica, IDOL and Hadoop to acquire, explore, serve and act upon information at scale and speed, on-premise, and in the cloud.

How: Platform. Team. Customer Experience. Execution.

HP Big Data platform vision


Powered by the industry’s leading Big Data engines

“Analysis at the speed of business”

HP Vertica Analytics Platform: Purpose-built analytics platform to manage petabytes of data at massive scale with blazing-fast analytics

How it works: Columnar architecture with intelligent data compression, built-in analytic functions, and open integration to meet analytic use cases

Key advantage: Extremely accessible technology to manage and analyze massive volumes of data in seconds, not weeks

Spectrum of use cases: Network QoS, supply chain optimization, ecommerce analysis, sensor data analytics, customer analytics

Vertica

“Structure and insight from chaos”

HP IDOL: Information platform for processing free text, audio, video, image and “create” structured data

How it works: Probabilistic modeling and pattern-matching to understand concepts in information in context

Key advantage: Analyze diverse forms of unstructured information to probe and explore data

Spectrum of use cases: Information governance, eDiscovery, knowledge management, insider trading

IDOL

Understand& analyze

100% of your information

from any source, with

extreme speed and scale


Big Data Platform

Extensible Big Data platform —on premise & in the cloud

Big Data on Hadoop

Robust solution use cases


• Promotional Testing

• Claims Analyses

• Patient Records Analyses

• Clinical data Analyses

• Fraud Monitoring

• Financial Tracking

• Tick data back-testing

• Behavior Analytics

• Click Stream Analyses

• Network Analyses

• Customer Analytics

• Compliance Testing

• Loyalty Analysis

• Campaign Management

Hundreds of customers finding answers


Communications, Media, & EntertainmentIndustry Priorities

• Understand subscriber behavior

• Develop new services and applications

• Manage and optimize networks and devices

• Plan network capacity and equipment

• Analyze large volumes of data – Call Detail Records (CDRs), network, machine data

• Enhance customer satisfaction, retention, and profitability

Segments Served

• Communications Service Providers

• Mobile & Wireless

• Cable and Broadcasting

• Representative Use Cases

• Customer Behavior Analytics

• Churn Analytics

• Transaction Analytics

• Network/Operation Analysis

• Fraud Detection

• Clickstream Analytics

• M2M/Sensor Data Analytics


Financial Services• Industry Priorities

• Analyze fast-growing, rapidly changingdata volumes

• Make key decisions in real time

• Maximize asset performance

• Minimize risk

• Enhance compliance

• Segments Served

• Banking

• Investment

• Trading

• Insurance

• Repr Use Cases

• Trend Analytics

• Portfolio Simulation

• Valuation Modeling

• Compliance and Risk Management

• Tick Data Back Testing

• Fraud Detection and Prevention

Challenge

• Respond rapidly to regulatory inquiries and know account access details in real time

• Correlate data between disparate systems to diagnose security breaches

• Gain deeper knowledge of customers and social trends to improve marketing campaign effectiveness

Solution• HP HAVEn: Hadoop, HP IDOL, HP Vertica, HP Enterprise Security

Result

• 2500x faster response to complex audit and fraud queries

• 97% less OPEX on responding to complex security audit and ad-hoc fraud queries

• 28% TCO advantage compared to nearest alternative solution


Improved Customer Loyalty for Banks

•40-80x faster and 5% of the overall cost of legacy platform

•90% reduction in operational overhead

•ROI in three months

• Increased revenue, resulting from more merchants participating in rewards programs

• “HP Vertica enables us to fine-tune and personalize offers, and we are providing this service at hyper-speed.”

• - Scott Grimes, CEO, Cardlytics


Interactive

User Behavior AnalyticsUser Experience Personalization

Churn and Revenue AnalyticsEngagement AnalyticsClickstream Analytics

Customer AnalyticsA/B Testing


BlaBlaCarImproving a ride-sharing community marketplaceChallenge

• Marketing campaigns and web experience for 10M+ members in 12 countries limited by infrequent and slow data analysis

Solution

• HP Vertica Analytics Platform, Cloudera Distributed Hadoop, Tableau & Data Science Studio

Expected result

• Optimized performance of CRM campaigns: program development improved experience for 2M customers per month

• Refined targeted marketing by integrating social media and predicting customer behavior through pattern recognition


Beijing Future Advertising delivers precision sports marketing intelligenceHP Haven empowers the next generation multi-media campaign evaluation system

Business Need HP Solution Client Outcome

• Enable advertisers to maximize ROI with precision marketing by significantly accelerating the provision of high value insights from advertising campaign results, through real-time video capture and automated data analysis

Software

• HP VideoLogger

• HP Image Server/DAH

• VLC + SQL Server

• HP IDOL

• Decreases data classification and processing times from ten days to minutes

• Improves the effectiveness of video retrieval

• Automates data collection and analysis

• Reduces resource allocation and improves working efficiency through automated data processing

• Lowers costs by eliminating data replication and reducing storage demands

• Generates timely reports to ensure data integrity

• Uncovers actionable insights and increases advertiser satisfaction and ROI


Use Cases – Proving the value of VerticaUse Case Examples Customers

EDW Offload • Drive down the cost of enterprise data warehouses (Oracle and Teradata), dramatically reduce footprint (10-30x data per server), and infinitely and easily scale

Customer Analytics

• Improve effectiveness of Web properties and increase conversions and sales

• Target individuals for upsells and cross-sells based on actual purchase patterns

• Understand how customers use different banking programs to develop targeted campaigns that increase

customer satisfaction, increase profits, and reduce churn

Sensor Data Analytics

• Proactively manage maintenance, improve reliability, reduce unplanned service work

• Offer drivers better rates based on driving behavior with usage-based insurance

• Offer competitive differentiation and improve retention with smart metering

OperationsAnalytics

• Optimize business and reduce expenses by identifying costs, revenue leakage

• Better segment customers to provide more targeted marketing spend

• Improve operational efficiencies by predicting capacity issues

Patient Analytics • Optimize processes to speed delivery of care and eliminate waste and error

• Predict healthcare and utilization costs and track comparative benchmarks

• Improve effectiveness of health systems, drive deeper insights into their systems and patient treatments and improve effectiveness of physicians and hospitals they support

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 6/4/201515 © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

HP Haven Big Data platform

“An enterprise is only as strongas its foundation.”

Cash in your data assets today!

come fare business con i big data in concreto

Technology

petabytes of data

data source

structured data

data assets

information platform

cloud big data platform

sensor data analytics

hp big data platform