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(1)

Gain big value from Big Data

-Govern the information

Pawel Walczak

(2)

Time

V

olume

of data

Data

Technology

gap

Human

data

Machine

data

Busines

s data

Big Data

shift

Mobile apps

System logs

Data centers

Compliance

archives

Internet of Things

Sensors

Social networking

Photo sharing

Wearable devices

(3)

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

Regulate

Comply

Control

Secure

Address

Ensure

Assets

Liabilities

(6)

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

Lower

compliance-based risk

Automate as

much as

possible

Better manage

what is

important

(8)

Adaptive Intelligence + Big Data

Human Information

Machine Data

Sensors;

Web logs;

App logs;

event

monitors;

security

and

intelligence

systems.

Business

Data

ERP; CRM;

EDW

10% of Information

90% of Information

Annual

Growth

~100%

~10%

email,

social

media,

documents

and

records,

video,

audio, and

images

(9)

Analytics move to center…..of everything!

The next shift in computing

Analytic

Capabilities

Business

Applications

Analytic

Capabilities

Analytic

Capabilities

Today

Business Applications

centered

Search

Business

Applications

Analytic

Applications

Business

Applications

Business

Applications

Tomorrow

Information analytics

centered

search

search

s

earc

h

s

earc

h

(10)

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, Dynamic n-dimensional, Taxonomy generation, Dynamic XML, Consumption, 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….

Analyze

Enrich

Find

Act

Act on 100% of your information

Reduce

Cost

Increase

Efficiency

Increase

Productivity

Increase

Revenue

Transactional

data

IOT

Search

engine

Image

s

Social

media

Video

Audio

Mobile

Documents

Texts

Customer

Email

communications

Language independent

Language independent

Language independent

NEWS

FORUMS

BLOGS

…and more

Enterprise

External and Cloud

NOSQL

PORTALS

EMAIL

…and more

Act on 100% of your

information

IDO

L

(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 1000+ file types

• Language independent

• Process data memory, time, &

in-place

• 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.

“Celebrity Gwyneth Paltrow kicked

off the holiday season with a day

of shopping with

Apple

and

Moses.”

Apple will

begin selling the

unlocked iPhone 5 in the US

tomorrow.”

“My grandma makes the best

(13)

Easy to use analytics for business users

IDOL – operating human information

• People, places,

companies

• Social, credit card #s,

etc.

• Sentiment

• Other eduction

• Social media attributes –

twitter # tags, followers

etc

Native data enrichment

• Discover related concepts –

robust query handling

• Drill down and analyze

-trends, geogrpahies,

segments

Concept clouds & maps

Discover what you

don’t know

-trends and

segments

Clusters – Hot, Breaking,

Spectrographs

• Email

• Agent/support notes

• CRM databases

• Live chat

• Blogs

• Forums

• Websites

• File Systems & SharePoint

• Social media

• Mainstream news

• Call recordings

> 400 data connectors to collect

your data

• Language &

industry-agnostic (statistical

algorithms vs NLP)

• In-memory indexing

(Fast!!)

Scalable across languages & documents

• Secure (cloud & on-prem)

• Worflows, roles &

permissions

• Engagement

• Alerts, automation

(14)

Managing risk and meeting governance requirements

Access & understand

Unstructured enterprise

data repositories

Structured enterprise

data repositories

Cloud-based

repositories

Data

Mobile & social media

Offsite or removable

data repositories

Common policy framework

Organize & control

Leverage & take action

Address business &

operational objectives

Enterprise Content

Management

Enterprise Search &

Collaboration

Legacy Data

Cleanup

Legal Holds

Information Archiving

Records

Management

eDiscovery

Address legal &

compliance objectives

Backup & Recovery

Disaster Recovery

Address information

management objectives

Business Resiliency

Long-Term Retention

(15)

HP SW BigData family, powered by IDOL

IDOL the OS

Compliance

Storage Optimization

Database Archiving

Policy Management

Supervision

Policy-Driven Info Mgmt

Legal Content Mgmt

Business Process Mgmt

Document Mgmt

Records Mgmt

Workflow Automation

Legacy Clean Up

Server Data Protection

Virtual Server Data

Protection

Remote & Branch

Office Data Protection

Endpoint Device

Data Protection

Enterprise

Content Mgmt

Information

Archiving

Data

Protection

Digital Experience

Mgmt

Web Optimization

Search Engine

Marketing

Marketing Analytics

Contact Center Mgmt

Rich Media Mgmt

Marketing

Optimization

Unified Information

& Analytics

Voice of the Customer

Video Surveillance

Big Data Analytics

Enterprise Search

Knowledge Mgmt

Content Access

& Extraction

Information Management & Governance

Information Optimization

Hybrid

OEM

Software

Cloud

for human

information

eDiscovery

Litigation Readiness

Policy Management

Legal Hold

Exstream

Customer

Communication

Mgmt

Aurasma

Augmented

Reality

(16)

Copyright © 2014 Autonomy Inc., an HP Company. All rights reserved. Other trademarks are registered trademarks and the properties of their respective owners.

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

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

• Fully integrated with RM, BPM, capture

Extranet

Mobile

File Sharing

Scanning

eMail

Cloud

Digital

document

Secure

Repository

(17)

HP ControlPoint

Gaining control over all enterprise content

• Approach

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

IDOL Integration Framework

HP Control Point

File Shares

Exchange

SharePoint

HP RM

Repositories

Finalized Content

“Sensitive”

Content

“In-process”

Dark Data

Transitory Content

(18)

Only HP Offers Centralized Protection with Integrated Analytics for Data-Driven Decision

Making

Traditional backup and recovery remains architected for the past

Protecting today’s enterprise

Collaboration

Multimedia

File System

Private Cloud

Exchange System

Storage Arrays

Network Storage

Big Data

(Hadoop)

Virtual

Environments

Internal Devices

Servers

Critical Applications

Remote Offices

Business Assurance and

Traditional Workloads

But Protecting Big Data at Scale is a

Challenge

Smart Phones

Tablets

End-point Devices

So is

Mobility

Disaster Recovery Site

Imagery

Transactional

data

Multi-tier Apps

Offsite Archive

HP has solutions

Only HP Offers Integrated Solutions for Protection at

Scale

Machine

Data

Video

(19)

Rethinking backup and recovery for the modern data center

HP Data Protector software

• HP StoreOnce™ Federated Deduplication

• Breakthrough Scalability and Performance

• Enterprise Application Protection

• Comprehensive Virtual Environment Support

• Extensive 3

rd

party device support

(20)

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

21

HP Consolidated Archive

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)

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)

(22)

Forrester

Wave

Enterprise Content

Management

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

Leading solutions across industries

Magic Quadrant

eDiscovery

Gartner

Leader

Wave

Marketing Optimization

Forrester

Leader

Leader

Gartner

Magic Quadrant

Information Archiving

HP Autonomy

HP Autonomy

Magic Quadrant

Customer

Communications

Management

Gartner

Leader

(23)

A unified data analysis for all Information

The Era of smart data has arrived

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

Wisdom

Knowledge

Information

DATA

Big

Data

Smart

Data

(24)

HP Software Big Data Team (CEE):

Channel: Izabela Sokolowska-Nowak

[email protected]

Sales: Tomas Vyhlidko

[email protected]

(25)

References

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