Gain big value from Big Data - Govern the information

Transcription

1 Gain big value from Big Data - Govern the information Pawel Walczak HP Exstream Robert Lejnert (mental support) HP Software Big Data

2 Volume of data Human data Data Big Data shift Mobile apps System logs Data centers Compliance archives Internet of Things Sensors Social networking Photo sharing Wearable devices Technology gap Machine data Busines s data Time

3 Data is your most strategic asset Monetize Differentiate Personalize Monitor Meter Optimize Predict and more

4 but also your greatest risk Regulate Comply Control Secure Address Ensure

5 Optimizing the Big Data Balance Sheet Monetize Differentiate Personalize Monitor Meter Predict Assets Liabilities Regulate Comply Control Secure Address Ensure

6 Why HP Software Big Data? Our mission is to be the trusted partner for organizations to store, explore, govern, protect, and serve information and insights that fundamentally improve the outcomes of businesses, people, and the environment, while managing risk and meeting legal obligations.

7 From Big Data to Smart Data Eliminate what is not important Better manage what is important Lower compliancebased risk Automate as much as possible

8 Adaptive Intelligence + Big Data Critical to effectively address all 3 forms of data Annual Growth ~100% ~10% Machine Data Sensors; Web logs; App logs; event monitors; security and intelligence systems. 90% of Information Business Data ERP; CRM; EDW 10% of Information Human Information , social media, documents and records, video, audio, and images

9 search The next shift in computing Analytics move to center..of everything! Today Analytic Capabilities Tomorrow Business Applications Business Applications centered Information analytics centered search Business Applications Analytic Applications search Analytic Capabilities Analytic Capabilities Business Applications search Business Applications Search

10 Act on 100% of your information Increase Efficiency Increase Productivity Reduce Cost Increase Revenue Find Enrich Analyze 2D/3D clustering, Acoustic signature, Active matching, Agents, Alerting, Auto language detection, Auto query guidance, Boolean & legacy, Operations, Breaking news clustering, Categorization, Collaboration, Community, Concept highlighting, Concept-query, Summarization, Conceptual retrieval, Context summarization, Cross-modal suggest, 500+ Dynamic high-roi, n-dimensional, powerful, Taxonomy automated generation, Dynamic functions XML, and Consumption, services Exact phrase matching, Expertise location, Explicit profiling, Face recognition, Field modulation, Frame analysis, Fuzzy matching, Hot clustering, Hyperlinking, Image analysis, Image association, Implicit profiling, Keyword search, Mail object identification, Melody classification, Melody identification, Metadata recognition, Natural language retrieval, Object identification, Object recognition, Ontology generation, Parametric refinement, Phrase spotting, Proper name identification, Query by example, Real-time aggregation, Routing, Scene detection, Script alignment, Sentiment analysis, Sound matching, Speaker identification, Speaker recognition, Spectographic analysis, Spell checking, Tag reconciliation, Transcription, Video analysis, Voice printing, Word spotting, Work groups, XML tagging. Enterprise External and Cloud IDO NOSQL NEWS PORTALS FORUMS BLOGS and more and more Language independent Act on 100% of your information L Language independent Language independent Act Social media Video Audio Mobile Documents Texts Customer communications Transactional data IOT Image s Search engine

11 IDOL: the OS for human information Only IDOL can handle the continuum of human information Single processing layer for all data Continuous learning ability Superior speed, scalability, and simplicity Built in security and compliance functionality More than 400 seamless data connectors Supporting file types Language independent Process data in-memory, in-time, & inplace Ability to understand meaning makes IDOL totally unique in the market

12 Why is processing human information different? Human information is diverse: text, audio, video, social Information is dynamic Information is complicated Meaning is relative Ideas don t match - they have distance Keywords and metadata do not solve this problem. The processing and retrieval of human information must be automated. My grandma makes the best apple pie. Apple will begin selling the unlocked iphone 5 in the US tomorrow. Celebrity Gwyneth Paltrow kicked off the holiday season with a day of shopping with Apple and Moses.

13 IDOL operating human information Easy to use analytics for business users Native data enrichment Concept clouds & maps Clusters Hot, Breaking, Spectrographs People, places, companies Social, credit card #s, etc. Sentiment Other eduction Social media attributes twitter # tags, followers etc Discover related concepts robust query handling Drill down and analyze - trends, geogrpahies, segments Discover what you don t know - trends and segments > 400 data connectors to collect your data Scalable across languages & documents Enterprise-grade Agent/support notes CRM databases Live chat Blogs Forums Websites File Systems & SharePoint Social media Mainstream news Call recordings Language & industryagnostic (statistical algorithms vs NLP) In-memory indexing (Fast!!) Secure (cloud & on-prem) Worflows, roles & permissions Engagement Alerts, automation

14 Managing risk and meeting governance requirements Access & understand Organize & control Leverage & take action Unstructured enterprise data repositories Address business & operational objectives Structured enterprise data repositories Cloud-based repositories Mobile & social media Offsite or removable data repositories Data Common policy framework Enterprise Content Management Enterprise Search & Collaboration Address legal & compliance objectives Information Archiving ediscovery Address information management objectives Backup & Recovery Disaster Recovery Legacy Data Cleanup Legal Holds Records Management Business Resiliency Long-Term Retention Administer data in place or in a consolidated repository

15 HP SW BigData family, powered by IDOL Information Management & Governance Information Optimization Data Protection Information Archiving ediscovery Enterprise Content Mgmt Exstream Marketing Optimization Unified Information & Analytics Server Data Protection Virtual Server Data Protection Remote & Branch Office Data Protection Endpoint Device Data Protection Compliance Storage Optimization Database Archiving Policy Management Supervision Litigation Readiness Policy Management Legal Hold Policy-Driven Info Mgmt Legal Content Mgmt Business Process Mgmt Document Mgmt Records Mgmt Workflow Automation Legacy Clean Up Customer Communication Mgmt Aurasma Augmented Reality Digital Experience Mgmt Web Optimization Search Engine Marketing Marketing Analytics Contact Center Mgmt Rich Media Mgmt Voice of the Customer Video Surveillance Big Data Analytics Enterprise Search Knowledge Mgmt Content Access & Extraction Software Cloud IDOL the OS for human information Hybrid OEM

16 WorkSite The Electronic Project / Matter File Unify information in context, for enhanced productivity and service delivery Unified digital project files Metadata and security inheritance OCR and search File Sharing Cloud Access from any device, anywhere Web portal for partner access Full mobility client Mobile cloud file synch and share Secure, automated, comprehensive Security, audit trails - cloud and on-premises Notifications for edits and new documents Scanning Fully integrated with RM, BPM, capture Extranet Repository Mobile Secure Digital document 16 Copyright 2014 Autonomy Inc., an HP Company. All rights reserved. Other trademarks are registered trademarks and the properties of their respective owners.

17 HP ControlPoint Gaining control over all enterprise content Approach 18 Identify, classify, assess content for value & risk Ability to take action for cost /risk reduction, better compliance Consistent, automated policy driven approach across multiple repositories Benefits Reduce Information footprint for cost & efficiency Improve ediscovery Readiness Protect and secure sensitive information (e.g. PII, PHI) Automate Records Classification Improve compliance and defensible disposition Offerings Legacy Data Cleanup Assessment Service Information Governance for SharePoint Copyright 2014 Autonomy Inc., an HP Company. All rights reserved. Other trademarks are registered trademarks and the properties of their respective owners. Regulatory Record Keeping for Dodd-Frank Compliance HP RM Sensitive HP Control Point IDOL Integration Framework Exchange SharePoint File SharesRepositories Transitory Content Content Inprocess Finalized Content Dark Data

18 Protecting today s enterprise Traditional backup and recovery remains architected for the past Offsite Archive File System Exchange System Collaboration Big Data Tablets Critical Applications Private Cloud Multi-tier Apps (Hadoop) Remote Offices Servers Network Storage Storage Arrays Internal Devices Virtual Environments Multimedia Transactional data Imagery Video Machine Data Social Smart Phones End-point Devices Disaster Recovery Site Business Assurance and Traditional Workloads But Protecting Big Data at Scale is a Challenge So is Mobility HP has solutions Only HP Offers Integrated Solutions for Protection at Scale Only HP Offers Centralized Protection with Integrated Analytics for Data-Driven Decision Making

19 HP Data Protector software Rethinking backup and recovery for the modern data center HP StoreOnce Federated Deduplication Breakthrough Scalability and Performance Enterprise Application Protection Comprehensive Virtual Environment Support Extensive 3 rd party device support Enhanced Automated Disaster Recovery Data Protector 20

20 HP Consolidated Archive Solving business issues Unified information archiving Mitigate risk with access to virtually all data types and repositories ensures defensible policy management Intelligent data insight Gain rich data visibility and knowledge to understand its value Storage optimization - Comprehensive data lifecycle and storage management help reduce the overall storage footprint Advanced search and analytics Respond more quickly with efficient identification of critical, responsive data End-to-end platform - Integration with the HP Information Governance Portfolio to ensure complete data management and total value 21

21 HP Consolidated Archive - Features Archive device support: HP Storeall, Cloud, EMC Centera, NetAPP, Hitachi, NTFS, etc. Supports Journal or mailbox capture for Notes, Exchange, GroupWise Retention management set by user/group, content type or folder User/group management support for LDAP directory services and IDOL Community server Unified UI for administration across all archiving tasks Web-based archive search HP CAmail Integration with IDOL platform (including connectors for additional content type) Focus on , File and SharePoint Archiving

22 Leading solutions across industries Gartner Magic Quadrant Information Archiving Gartner Magic Quadrant ediscovery Forrester Wave Enterprise Content Management Gartner Magic Quadrant Customer Communications Management Forrester Wave Marketing Optimization HP Autonomy HP Autonomy Leader Leader Leader Leader Leader HP has particular strengths in the areas of records management, information governance, and ediscovery, drawing on solid technology from both the HP and Autonomy product teams. - Forrester

23 The Era of smart data has arrived A unified data analysis for all Information Wisdom Big Data Knowledge Information Smart Data DATA For the first time in the IT industry, there is a fundamental shift from the T to the I : information management is the new source of competitive advantage.

24 HP Software Big Data Team (CEE): Channel: Izabela Sokolowska-Nowak Sales: Tomas Vyhlidko Presales: Robert Lejnert

25 Thank you