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

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2 Big Data nichts ist mehr wie es war Ulrich (Ulli) Pfeiffer Director and CT HP Software EMEA

3 Volume of data Information Gap Mobile apps System logs Data centers Compliance archives Internet of Things Industrie 4.0 Sensors Social networking Photo sharing Wearable devices Information Gap Human data Machine data Business data Time

4 The Big Data balance sheet Monetize Regulate Differentiate Comply Personalize Control Monitor Assets Liabilities Secure Meter Address Optimize Ensure Predict and more

5 The Big Data balance sheet Value * Serve Store Explore * * Protect Govern Liabilities * *

6 It takes a Big Data platform to cash in your data assets Siloed data challenge 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 Big Data platform answer 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

7 HP Haven Big Data platform HP applications Customer applications Developer applications Gain insight from 100% of your data Connect to a variety of machine, business, human data sources Analyze at volume and velocity of data Develop modern data-driven applications Haven Defined programming interfaces Analytics, context and categorization Scalable data stores Data connectors Premise Cloud Hadoop Social media Video Audio Texts Mobile Transactional Documents IT/OT Search data engine Images Records Compliance archives 7 5/7/2015

8 Powered by the industry s leading Big Data engines IDOL 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 Understand & analyze 100% of your information from any source, with extreme speed and scale Vertica 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

9 Industry-leading breadth & depth of capabilities Haven Big Data platform Contextual search Core big data business capabilities Access Explore Enrich Analyze Predict Serve Act And more... Data exploration Image/video analytics Accelerated analytics Geospatial analytics Sentiment analysis SQL on Hadoop Predictive analytics On-premise In the Cloud

10 Empowering the entire enterprise Data discovery to next-gen apps Transform data to knowledge Insight to see the unseen & optimize my business Business Analyst App Developer Data Scientist IT Professional Deliver data-driven next-gen apps and services Engage, enrich & harness 100% of my data

11 Big Data Platform Big Bets for FY 15 Extensible Big Data platform on premise & in the cloud Big Data on Hadoop Robust solution use cases

12 Industry Function Business-driven Use Cases Marketing Sales Customer Supply chain Risk mgmt. HR, IT Marketing effectiveness Brand awareness and advocates Social lead generation Sales optimization Integrated customer experience Support analysis Demand-supply planning Procurement analytics Systemic fraud models Compliance and risk Workforce optimization IT performance management Finance Government Telecom Manufacturing Energy Healthcare Fraud detection Anti-money laundering Risk management Law enforcement Counter terrorism Traffic flow optimization Broadcast monitoring Churn prevention Advertising optimization Supply chain optimization Defect tracking RFID Correlation Weather forecasting Natural resource exploration Drug development Scientific research Evidence-based medicine

13 Solution Roadmap Define business case Idea Align stakeholders Plan Phase Center of Expertise Source relevant input data Investment into technology & staff Build Phase (PoC) Utilize Big Data platform Integrate operational processes Maintain solution Run Phase Business Outcome

14 A local success story World Record Project Cape to Cape 2014 Fastest drive from Norway to South Africa km Lots of Big Data 19 countries 3 drivers less than 9 days Europe, Africa

15 Rekordjäger Rainer Zietlow

16 Wohin nach dem Essen? Ausstellung: Präsentationen: Transformation Experience Workshop: Cape-to-Cape HP Big Data Referenzarchitektur HP Big Data für die IT HP Software Technologie-Stack: HP Big Data Services 14:20-14:50 Uhr- Big Data Anwendungsfälle handfeste Demos Bernd Mußmann 15:20-15:50 Uhr - Der innovative HP Big Data Technologiestack und seine Einsatzgebiete Helmut Schmitt 16:00-16:30 Uhr - Big Data Infrastrukturen und Services für das datenorientierte Unternehmen Philipp Koik & Jochen Mohr 16:40-17:10 Uhr - Big Data as a Service Herangehensweisen und Beispiele Jens Scheffler Goals Understanding what Big Data is Defining customer s Big Data challenges Evaluating business and IT priorities Introducing HP Big Data solutions Building a Big Data transformation roadmap Customer Benefits Understand the benefits, scope, scale and critical success factors Leverage best practices Gain stakeholder commitment Establish a common understanding Participants C-level, senior staff/initiative owners (5-8 persons) 2-3 Sr. HP consultants, HP Sales

17 Thank You Copyright 2015 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.