the business of big data - mj flood...

© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

The Business of Big Data:Revenue generation, defensibility and operational efficiencyDavid Kemp

HP Software Solutions

5th June 2015

© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.2

AGENDA

• Understanding the size and complexity of Big Data

• Getting our arms round the data

• Records Management

• Surveillance

• Defensibility

• Q & A


19 of the top 25

FT Financial Institutions

HP is powering the world’s leading firms for risk management and regulatory compliance

10of the top 10

Global Banks

77of the top 100

Global Law Firms

http://www.sgcib.com/

http://www.sgcib.com/


Flight 276Tokyo/LHR260 Passengers

Building 5418120m

23.155.6926ºC / 72

Traffic Monitor

12.945.156.26

Jen Shitohara125.421.484.12

Yun Kim125.421.484.12

Shibuya Sta.Crossing

Shibuya Sta.Crossing

Building 259780m 23.155.69

27ºC / 73

Advertorial Lighting BracketStatus: OFF


Enterprise data growthCosts of managing data

1,820 TB of data created

Every 60 seconds…

YouTube

Viber

Qzone

Amazon Web Services

GoGrid

Rackspace

LimeLight

Jive Software

salesforce.com

Xactly

Paint.NET

Business

Education

Entertainment

Games

Lifestyle

Music

Navigation

News

Photo & Video

Productivity

Reference

Social networking

Sport

Travel

Utilities

Workbrain

SuccessFactors

Taleo

Workday

Finance

box.net

Facebook

LinkedIn

TripIt

Pinterest

Zynga

Zynga

Baidu

Twitter

Twitter

Yammer

Atlassian

Atlassian

MobilieIronSmugMug

SmugMug

Atlassian

Amazon

AmazoniHandy

PingMe

PingMe

Associatedcontent

Flickr

Snapfish

Answers.com

Tumblr.

Urban

Scribd.Pandora

MobileFrame.com

Mixi

CYworld

Renren

Xing

Yandex

Yandex

Heroku

RightScale

New Relic

AppFog

BromiumSplunk

CloudSigma

cloudability

kaggle

nebula

Parse

ScaleXtreme

SolidFire

Zillabyte

dotCloud

BeyondCore

Mozy

Fring Toggl

MailChimp

Hootsuite

Foursquare

buzzd

Dragon Diction

SuperCam

UPS Mobile

Fed Ex Mobile

Scanner Pro

DocuSign

HP ePrint

iSchedule

Khan Academy

BrainPOP

myHomework

Cookie Doodle

Ah! Fasion Girl

PaperHost

SLI Systems

NetSuite

OpSource

Joyent

Hosting.com

Tata Communications

Datapipe

PPM

Alterian

Hyland

NetDocuments

NetReach

OpenText

Xerox

Google

Microsoft

IntraLinks

Qvidian

Sage

SugarCRM

Volusion

Zoho

Adobe

Avid

Corel

Microsoft

Serif

Yahoo

CyberShift

Saba

Softscape

Sonar6

Ariba

Yahoo!

Quadrem

Elemica

Kinaxis

CCC

DCC

SCMADP VirtualEdge

Cornerstone onDemand

CyberShift

KenexaSaba

Softscape

Sonar6

Workscape

Exact Online

FinancialForce.com

IntacctNetSuite

Plex Systems

Quickbooks

eBay

MRM

Claim processing

Payroll

Sales tracking & marketing

CommissionsDatabase

ERP

CRM

SCM

HCM

HCM

PLM

HP

EMC

Cost management

Order entry

Product configurator

Bills of materialEngineering

Inventory

Manufacturing projects

Quality control

SAP

Cash management

Accounts receivableFixed assetsCosting

Billing

Time and Expense

Activity managementTraining

Time & attendance

Rostering

Service

Data warehousing

The InternetGigabytes

Client/serverMegabytes

IBM

Unisys

Burroughs

Hitachi

NECBull

Fijitsu

Mainframe Kilobytes

Mobile, social, Big Data & the cloud

Zettabytes

TCO for unstructured data varies between $4/GB to $100/GB annually, but $25GB is a good rule of thumb*

*Source: ESG White Paper – The Cost of Managing Unstructured Data, May 2014

The volume, velocity and breadth of channels often overwhelms Information Management strategies leading to dark data

Storage costs are visible, soft costs such as opportunity & risk costs are less so, but no less real…


Video surveillance

Wire tapping

Internet of ThingsFacebook likes

Tweets

DronesOnline shopping Search queries Tweets

RBMS Social sentiment

CRM

Web logs

User clickstreams

Business data feedsMobile

SMS/MMS

User generated content

Apps YouTube

Service logs

The Era of ‘human information’

http://www.washingtonpost.com/business/technology/xbox-one-size-fits-all--post-buzz/2013/05/28/f7faa302-c7ca-11e2-8da7-d274bc611a47_video.html

http://www.washingtonpost.com/business/technology/xbox-one-size-fits-all--post-buzz/2013/05/28/f7faa302-c7ca-11e2-8da7-d274bc611a47_video.html


What is Human Information

Information that is created by people and understood by people


Why is human information different?

• Human Information is made up of ideas, is diverse and has context

• Human information is diverse: text, audio, video, social

• Human Information is not static – it’s dynamic and lives everywhere.

• Information is complicated

• Meaning is relative and has a context

• Ideas don’t match - they have distance

Social data is “human information” which is fundamentally different

Mercury is the patron god of financial gain, commerce, eloquence luck, trickery and thieves; he is also the guide of souls to the underworld

A heavy metal, mercury, is toxic and can cause diseases including Hunter-Russell syndrome

“This slow rate, combined with mercury's nearness to the sun, causes a daytime temperature of more than 400 °C.


Strong Information & Weak InformationKey Words are small amounts of very strong information without

context

“Mercury”

Is it a planet? Is it a car?Is it an element?


“A heavy element and the only metal that is liquid at standard conditions for

temperature and pressure with the symbol Hg and atomic number 80,

commonly known as quicksilver”

With high certainty; its an element!

Strong Information & Weak Information

Larger amounts of weaker information is what humans refer to as “context”


Insight from 100% of the data

Data is exploding but traditional data technologies impose limits - We need connected intelligence

Structureddata

Humaninformation

Machine data

Connected

Intelligenc

e


The different flavors of information

Inte

rna

l

UnstructuredStructured

Ex

tern

al

High Velocity

Enterprise

"Dark Data"

Web logs

Email

Contracts

Reports

Social Media

Data

Facebook,

LinkedIn

Twitter, Tumblr

Communities,

Blogs

Commercial

Data

Credit BureausBusiness

Information

Mobile Payments

Market Research

Operational

DataTransactions

Monitoring

SensorMeter’s, RFID,

GPS

Census

Weather

Geoinformation

Open Data

Public

Data


Blending every data source

OperationalEnterprise

"Dark Data"

Public Commercial

Social Media

Economic

Population

Email

Contracts

Mobile

Weather

Transactions

Monitoring

Sensor

Sentiment

Network

Industry

Correlations and patterns from disparate, linked data sources yield the greatest insights and transformative opportunities.

Reports


Big Data Investments Continue to Rise

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

2012 2013 2014

Investments in Big Data Technology

Don't know

No plans

Plan within 2yrs

Plan within 1yr

Yes

Q01. Has your organization already invested in technology specifically designed to address the big data challenge?

n=302n=473 n=720

58% 64% 73%

Percentage

investing or

planning


Need for an automated Comprehension Engine

• Volumes too vast

• Ideas too complex

• Confused by multiple language

• Data formats too diverse

• Data in federated silos eg. UBS / Airframe Manufacturer


Mathematical Algorithm solutions

• Leverages long standing mathematical principles

• Forms an understanding of all content

• Conceptual and keyword

• Detects patterns and relationships

• Enables automation – audio/video analysis, sentiment analysis, automatic hyperlinking, 500+ others functions


Personalization from

forms/questionnaires,

geodemographic

profiling

Aggregate content,

tag & categorizeHypertext links to

similar content

Searching for

information

E-mailing information

to relevant recipients

Reformatting for multi-

channel delivery, e.g.

PDF to XML

Answering customer

inquiries via a helpdesk

Manual ProcessesNotes

News

Feeds

Email

Internet

Database

Files

Document

Management

XML

Information Theoryand Bayesian

Inference

Integration

ThroughUnderstanding

Audio/ Media

Aggregation

Automatic

categorization

Hyperlinking

Profiling

Personalization

Collaboration

Delivery

Retrieval

Routing

Alerting

Process Automation

Understanding/Automation Removes Manual ProcessesCorporate Fraud management automated


HP Intelligent Data Operating Layer (IDOL)

The Operating System for human information

Connect

Understand

Over 500 functions to derive actionable insights

Act & Automate

the meaning, concepts and key attributes in all types of information, including docs, emails, databases, social media, rich media…

Access virtually any source of information400 Connectors and 1000+ file types

Secure

Dynamic

Over 500 functions to derive actionable insights

Act & Automate

Continuous learning ability &Language Independent

Superior speed, scalability, and simplicityBuilt in security & compliance functionality

𝑃 𝜃 𝑥 =𝑃 𝑥 𝜃 𝑃 𝜃

𝜃′∈𝛩𝑃 𝑥 𝜃′ 𝑃 𝜃′

𝐻 = −

𝑖

𝑝𝑖 log2 𝑝𝑖

Ability to understand meaning makes us unique in the market


Store, explore, govern, protect & serve

SolutionsPlatform

HP Software Big Data business group portfolio

Compliance

Litigation Readiness

Storage Optimization

Database Archiving

eDiscovery

Supervision

Legal Hold

Enterprise Search& Analytics

Vertica Big Data Analytics

Media Intelligence

Video Surveillance

IDOL & IDOL on Demand

Knowledge Mgmt.

Content Access& Extraction

Records Mgmt.

Legal Content Mgmt.

Business Process Mgmt.

Document Mgmt.

Records Mgmt.

Legacy Clean Up

Server Data Protection

Virtual Machine Data Protection

Remote & BranchOffice Data Protection

Endpoint DeviceData Protection

Cloud Data Protection

EnterpriseContent Mgmt.

Archiving &eDiscovery

DataProtection

Cloud Security


Analytics & Data Management



HP Information Governance Framework

Explosion of data

New, structured and unstructured data

types to manage

Data everywhere

Mobile, virtual, cloud joins physical.

67% of users have three or more

computing platforms

Real-time access

Always-on applications and users.

Business continuity moves to forefront

Increased requirements

Escalating industry and government

regulations. Litigation increasingly

involving ESI

Tri

gg

ers

Improve value Mitigate risk Reduce cost

Dri

vers

HP Information Governance Outcomes

Business

Efficiency

Business

Insight &

Innovation

Risk &

Complianc

e

Legal

Obligation

IT

Efficiency

CREATE, SHARE, DELIVER EXPLORE, ANALYZE SECURE, PRESERVE HOLD, DISCOVER STORE, PROTECT

Triggers & Drivers


Images

HP Information Governance Framework

Big Data

Systems of Business

Systems of Engagement

Systems of Insight

HUMANDATA

BUSINESSSYSTEMS

MASCHINE ANDSENSOR DATA

SOCIALMEDIA

Systems of Control

Unified Information Governance

Audio

Social Media

Mobile

Machine and sensor data

Email

Documents

Audio

TransactionalData

Unified Information Governance


Improve customer relationship

Extend life expectancy

Deliver better, smarter products

Ensure governance & compliance

Protect and save lives

How can we make Big Data matter?


Use Cases


HP IDOL 10.x delivers significant KPI improvements

0%

25%

50%

75%

100%A

ero

spac

e -…

Air

craf

t…

Bio

scie

nce

Go

v't

-…

Go

v't

- D

ept…

Law

…

Law

…

Leg

al -

KLA

Leg

al -

…

Med

ia -

…

Med

ia -

El…

Med

ia -

EW

…

Mig

rati

on

to

…

eCo

mm

erce

…

Ser

vice

s -…

Ser

vice

s -…

Efficiency

Additionally, companies using HP IDOL 10 see revenue increases and cost reductions

GSK – up to 1000% SY – up to 600%


British Ministry of Defence: Control Point * Largest global project for the handling of information containedin Sharepoints

* 400,000 users, +1billion documents (25K+ sites)

* A single search tool across all SharePoints

* Complete integration of a Records Management solution with the application of military security rules

* Replacement of the integral SharePoint search engine with the IDOL search facility

Search now based on concept and experience

Greatly increased performance and evolution of the platform


Stanford Children’s Health

• Ranked #1 in Northern California by U.S. News &

World Report survey of Best Children’s Hospitals

• Six centers of excellence - brain & behavior, cancer,

heart, pregnancy & newborn, pulmonary and

transplant.

• Building the country’s most technologically advanced,

family-friendly and environmentally sustainable

hospital for children and pregnant moms, to open in

December 2016.

Challenges:

• Quality and clinical effectiveness research

on ~115K patients, ~390K encounters,

~3M documents

• Diverse data types (structured and

unstructured) across data silos involved

• Time constraints vs extensive search

scope


Social Media Analytics at speed of business

NASCAR’s digital command center

powered by HP Haven

• Live monitoring of audience’s social

media interactions

• Real-time data analysis to uncover

broadcast content enhancement

opportunities

• Take immediate actions to capture fast

breaking incidents (e.g. auto parts

from crash landed in audience stands)

to deliver rich viewing experience

Click here to view customer testimonial in YouTube

https://www.youtube.com/watch?v=2gltOlBGWFw

http://www.google.com/url?sa=i&rct=j&q=NASCAR+logo&source=images&cd=&cad=rja&docid=UD8cWsQDCZWA8M&tbnid=aPwNfqPaMPH3qM:&ved=0CAUQjRw&url=http://thefamouslogos.com/?p=319&ei=kW2RUf-XH6GoiALwpIHIBA&bvm=bv.46340616,bs.1,d.cGE&psig=AFQjCNHzpaWZBPSUmxaFpQv073IkA36ofg&ust=1368571656959130

http://www.google.com/url?sa=i&rct=j&q=NASCAR+logo&source=images&cd=&cad=rja&docid=UD8cWsQDCZWA8M&tbnid=aPwNfqPaMPH3qM:&ved=0CAUQjRw&url=http://thefamouslogos.com/?p=319&ei=kW2RUf-XH6GoiALwpIHIBA&bvm=bv.46340616,bs.1,d.cGE&psig=AFQjCNHzpaWZBPSUmxaFpQv073IkA36ofg&ust=1368571656959130

https://www.youtube.com/watch?v=UOt0dt2nkys

https://www.youtube.com/watch?v=2gltOlBGWFw


NASCAR Demonstration


Operational Efficiency / Records Management


State of Most OrganizationsGRC — state of the organization

Source: Open Compliance & Ethics Group


Current State – Dark Data is Everywhere

Time

Operational Data

Redundant / Obsolete

Trivial

Time

Data volume

Business relevance

CostRisk

Data

volu

me


Potential Architecture for enhanced Corporate Fraud management

Connector Framework

Email

IM Voice

Understand Meaning

Classification

Govern

Records Management

DatabaseArchiving

Compliance Policy Authority

Front OfficeCompliance

Record

Files

Archive

ReviewManage Report

Unstructured

Application

Scan/Fax

Structured


UK Parliament - UK Democracy Live Service

Search Topic or word spoken on audio/video coverage

• Speech Recognition,

• Transcript generation and alignment,

• Indexing,

• Search

http://www.bbc.co.uk/democracylive/

http://www.bbc.co.uk/democracylive/


HP Safe Cities Solution in action – Auckland Transport

• Deployment Environment -

• Ingest data from 2,000+ CCTV cameras in Auckland

• View network of road and environmental sensors

• Social media trending, broadcast monitoring, and real time web news

• Scene analysis and license plate recognition

This is a rolling (up to 3 year) roadmap and is subject to change without notice

Improving public safety by detecting high-risk activities and investigating threats

– Results:

- Improve safety for pedestrians, cyclists and motorists;

- Optimise traffic flows through the City of Auckland;

- Tackle inefficiencies by creating a single unified layer across all data silos;

- Gather statistical information for analysis and transport planning;

- Be predictive instead of reactive;

- Enforce traffic laws and reduce violations;

- Generate new revenue streams.

HP and Autonomy Confidential © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.38

Corporate Governance challenges


• Corporate Governance monitoring and enforcement

• Social media monitoring - internal & external where permitted

• Ability to freeze data across a complex IT legacy architecture

• Cross-media visibility and comprehension

• De-duplication, clustering and synthesis of mass data

• Necessity to respect national and international data privacy standards

• Fast and effective response to the Business eg. “De-risking strategies”

Internal challenges


External increasing regulatory powers: EMEARule / Regulation A/K/A Summary

Bribery Act 2011 BA UK Worldwide sanctions by UK Serious Fraud Office – including fines and jail for condoning senior management

Spanish Criminal Code anti-Bribery Law 13 March 2014

SBL Worldwide sanctions by Spanish courts now with jurisdiction outside Spain for allegations against a Spanish citizen / habitual Spanish resident, employee of Spanish firm

EU Competition Law ECL Anti-trust raid, investigation, sanctions with Spanish Police support for suspected anti-competitive behavior bay Spanish entities – with sanctions up to 10% of annual sales.

Market Abuse Directive updated April 2014 – effective June 2014

MAD Aligns MAD with Markets in Financial Instruments Directive includes market manipulation of spot commodity contracts, market abuse in Algorithmic & High Frequency Trading and Insider Information planning breach

European Markets Infrastructure Regulation

EMIR Governance of OTC derivatives for timely risk mitigation, reconciliation and reporting etc updated May 2014

Data Protection Regulation –approved 11 March 2014 by EU Parliament

DPR Update of the 1995 Regulation requiring higher standards of data privacy, the right to be forgotten as well as new corporate enforcement in the light of reasonably justified compliance breach – expected effective 2015

FCA Dealing Room Audio Records Management November 20122

DRAR Mandatory capture of all mobile device traffic effecting trades on UK dealing floors and retention for 3 years – so “Constructive Knowledge” of content

Basel III – introduction 2014-2018 BaselIII

Capital adequacy, stress testing and market liquidity risk priorities including additional capital buffers and increase in minimum leverage rate


• Regulators have heightened demands

• Regulations based on what something MEANS

• Complexity of information increasing

– Multichannel

– Audio

– Social Media

• Clear trend to regulate, investigate,

and govern interactions as opposed

to just documents

• The Regulators have the investigative tools needed

Compliance

EMIR, Dodd-Frank, MiFID, Bribery Act, FATCA, EU Anti-trust etc……..


EU Parliament & Council Draft 4th Directive on

money-laundering and terrorist financing: April

2015

(19) New technologies provide time-effective and cost-effective solutions to businesses and to customers and should therefore be taken into account when evaluating risk. The competent authorities and obliged entities should be proactive in combating new and innovative ways of money laundering.


Major trends transforming Information Governance

Content explosionTraditional processes break down in an era of content explosion and rich formats

1How can I exert control to meet compliance requirements AND make use of information to improve productivity and inform better decisions?

SharePointGoverning, capturing, managing while preserving collaboration

3 How do I manage for control, compliance and cost and leverage my investment at the same time?

Compliance pressuresNew regulation increasing cost and risk requiringmanaged retention, defensible disposition

2How do I comply with new regulations cost effectively and keep and maintain information in a secure repository as required?

ChallengeIndustry trends

Structured Content as a RecordRows and columns as records4

How can my repository capture and manage structured content in support of application retirement and records requirements?


Building blocks of a sound defensive systemPolicy driven management of all enterprise data

Establish clear control for creating, accessing, retaining and disposing of information

Meet compliance, regulatory and organizational requirements

Manage for cost


Technical building blocks appropriate to defence

Connectivity – can you even technically access what data exists across a complex IT architecture?

Records Management – what timely visibility do you have of historic and real-time data?

Data complexity – how do you deal with volumes, languages and audio / visual / alphanumeric data?

Understanding – how do you rapidly identify the key issues from mass data?

Policy standards – how can these be practically enforced?

Forensics – who’s talking to who / message chains / “triangulation” / Clustering results for Early Case Assessment

Corporate Fraud monitoring

What technical components are required for effective surveillance?:

• Social Media Data Handling (Facebook, LinkedIn & Twitter)

• Message Sampling

• Pre-review

• User Administration

• Workflows (Route and edit communications)

• Notifications Administration (Scheduled reporting)

• Case Administration (Create customised cases)

• Custom Reporting


Defensibility: Supervision & Litigation

preparedness


Limitations of the Human Firewall!

Supervision – Traditional approachBusiness Need:

• Ensure supervision and oversight of electronic communications

Traditional Shortcomings:

• Inability to process and monitor large volumes of communications

• Lack of access to all data content and sources for investigation

• Unacceptable amount of false positives

Business Impact:

• Non-compliance with oversight requirements

• Higher costs to review communications

Social Media Video Audio

Transactional Data Documents

Email Texts Mobile

IT/OTImagesSearch Engine

Supervision – with Digital Safe and Consolidated Archive

Business Need:

• Ensure supervision and oversight of electronic communications

Advantages:

• Ability to process the messaging volumes of the largest companies

• Access to virtually data types and sources

• Deployed and supported by industry experts

• Used by top compliance departments

• Combined supervision and surveillance

• Proof of communication supervision

• Business and regulatory reporting / retention

Business Benefits:

• Meet all oversight requirements

• Increase data scalability

• Reduce risk

IM Voice

Email Social Media

Supervision

Scanned messages captured by policy and sent to the database for review

SurveillanceArchived messages indexed and available for investigations

HP Supervisor

Empowering Compliance

Audit and Reporting Platform

Self-service

Automated provisioning

Full ‘tech-free’ administration

Sampling

Any message type at any percentage and

direction

Risk-based intelligence by group/division

Supervision

Over 80 configurable filters

Reduce irrelevant noise by 40+%

Surveillance

Intelligent searching of all archived

messages

‘eDiscovery’ for compliance officers

Subject matter expertise

Custom designed systems

Custom-built risk filters

Supervisor - Use CasesKey Drivers for solution Key Benefits of solution

Accessing Archived Content • Instant access to content in time-sensitive situations

Performing Risk-Based Sampling • Granularity provides relevant data

Scan Communications for Risk • Policy-based searching provides targeted results

Perform Ad Hoc Search Investigations • Instant investigatory search access across configurable data storage range

Utilize Customized Reporting For Proof of Review and Productivity

• Customizable and relevant reporting provides accurateand concrete data needed for regulators and management

Met Police monitors social media to enhance intelligence and security• Objective• Better understand and use social media during London

Olympics to improve police operations

• Determine new community influencers and gather early insight into relevant issues

• Create more effective community engagement and derive accurate analysis of social media sentiment

• Solution• Process 2.3M+ tweets/day (3.3M during Opening

Ceremony)• Ingest feeds from 22 sources, with an emphasis on

international, national and local news feeds and local blogs

• Track community news updates

• Results• Identified a connection between two

intelligence targets that had not been known previously

• Ensured proportionate and appropriate operational response to highly-sensitive community events

• Identified several, unknown, potential witnesses to a fatal stabbing

• Forwarded-on local tweets concerning community incidents, and responded to erroneous tweets

• Helped build a glossary terms to be used to cross-search data

http://www.google.com/url?sa=i&source=images&cd=&cad=rja&docid=OfaQdJ_jlvehlM&tbnid=ITHgmNVF0jvH1M:&ved=0CAgQjRwwAA&url=http://blogs.scientificamerican.com/plugged-in/2012/08/13/sustainability-gold-for-the-2012-london-olympics/&ei=HNPtUbjeGOG9yAGG3oGQAw&psig=AFQjCNExmG2hXwfikQfdSuM2sJXbh_JpHQ&ust=1374626972447428

http://www.google.com/url?sa=i&source=images&cd=&cad=rja&docid=OfaQdJ_jlvehlM&tbnid=ITHgmNVF0jvH1M:&ved=0CAgQjRwwAA&url=http://blogs.scientificamerican.com/plugged-in/2012/08/13/sustainability-gold-for-the-2012-london-olympics/&ei=HNPtUbjeGOG9yAGG3oGQAw&psig=AFQjCNExmG2hXwfikQfdSuM2sJXbh_JpHQ&ust=1374626972447428

Sparky GuardianAs kids and social media become

increasingly inseparable, parents have a

daunting task of mitigating the risk of

cyberbullying in the face of massive data

volumes. Early detection of damaging

behaviors is critical. Sparky uses sentiment

analysis and conceptual search powered

by HP IDOL OnDemand to identify

aggression, violence or harassment

happening in kids' social networks. So,

parents can help nurture a positive climate

for kids to enjoy and flourish in social

media

Mapped security

• Fully integrated Kerberos authentication together with Secure Socket Layer (SSL) encryption across all transactions

• Compliance with all major Security Standards, including US DoD5015.2, UK TNA2002, Australia’s VERS, ISO 15489

• Full-range of customizable security functionality:

• Discretionary access control (ACL based)

• Mandatory access control (Based on metadata)

• Kerberized access to IDOL

• SSO authentication using Windows Active Directory

Single supplier to US

Department of Homeland

Security

Department of Homeland Security - Requires

extremely precise handling of foreign languages,

including Chinese and Arabic

Open V – China’s largest online video website

Stop Terrorists Identify patterns in vast

amounts of data to

anticipate terrorist

activities

Case Study: German Bank LIBOR fixing

• Challenge: In 6 months be able to answer BAFIN questions arising from a LIBOR fixing investigation

• Requirements:

• Data Volume: 1.18 TB – some 20 million in E-mail and Bloomberg chat format

• Custodians to examine: 27-30

• Licences for bank legal: 20

• Location: UK, Germany, USA

• Solution: Software as a Service = HP Autonomy hosted delivery = HP eDiscovery

• Electronic Data Discovery – ingestion & culling

• Early Case Assessment: Analysis, MBC Coding, classification – Weeks 6-12

• Document Review: Weeks 7-23

• Document production for Regulators: Weeks 10-24


Forensic Solution deliverables

Copyright © 2012 Autonomy Inc., an HP Company. All rights reserved. Other trademarks are registered trademarks and the properties of their respective owners.61 Copyright © 2013 HP Autonomy. All rights reserved. Other trademarks are registered trademarks and the properties of their respective owners.

Corporate Fraud forensic challenges

• Timeframes are often very tight

• Must locate, access and manage all enterprise data, often across silos

• Review and automated analysis of forensically-captured digital-device data.

• Unique Rich and Social Media Processing, including Audio

• Potential issue of multi-party and multilingual cases

• Must avoid risk and costs associated with handing off client data between systems

• Evidential supporting information

Copyright © 2012 Autonomy Inc., an HP Company. All rights reserved. Other trademarks are registered trademarks and the properties of their respective owners.62 Copyright © 2013 HP Autonomy. All rights reserved. Other trademarks are registered trademarks and the properties of their respective owners.

Unique capabilities:

- One platform

- Process 1000 data formats across silos, including audio

- 100+ languages

- Applying Legal Hold effectively

- Avoiding tipping off

- Document meaning and conceptual query

- Clustering, Link Maps, Message tracer

- Auto-Categorization, bulk coding

- Coding (quality check) and speed tagging

Corporate Fraud usage of eDiscovery platforms


The legal hold challenge

All companies must comply

• Common law and civil procedures

• FRCP, CPR

Increasing risk and costs

• Identify, preserve, collect, monitor, track

• Tougher sanctions for failure to comply

Few are prepared

• Most still use manual methods and spreadsheets…

• Vast amounts of data including email, PSTs, audio, social media and video files

“The courts have a right to expect that litigants and counsel will take the necessary steps to ensure that relevant records are preserved when litigation is reasonably anticipated…”


Autonomy Legal Hold: notification, preservation and collection

Manages the complete legal hold lifecycle

• Notifications and Interviews through to preservation, collection, release and disposition

• Systemized, repeatable and auditable process

• The first and only solution to preserve and collect from laptops offline.

• The only policy-based preservation and collection for legal holds across enterprise data sources

• Preserve-in-place

• Disposition and relief notification

– Release holds upon termination of matter

– Resume normal document retention/destruction policy


Dramatically accelerate the most-costly component of eDiscovery

Document review

Increase efficiency by understanding meaningUtilize IDOL’s conceptual technologies to efficiently understand document meaning regardless of type or language

Accelerate review with predictive technologyLeverage advanced analytics that improve review speed, the # of documents to review and increase accuracy

Match the right workflow to each unique matterAvoid being forced into one single workflow for every legal matter with a wide range of Technology-Assisted Review alternatives


Technology-assisted review

Technology-assisted review• Automatically generate Work Product Analytics to

accelerate document culling and review

• Accomplish what was once impossible: reviews that are both less expensive and more accurate

Advanced analytics• Establish a defensible, auditable search process

• Quickly develop case strategy and rapidly cull documents for review

• Better preparation and strategy for “Meet and Confer”


JPMCJPMC needed to comply with government requirements and manage structured and unstructured data in the systems of acquired financial institutions

Chose Autonomy’s end-to-end platform for our secure long-term archive environment that supports legal hold and sophisticated eDiscovery operations

ChallengeSecure, index, analyze, collect, archive, and hold all data types that could be relevant to regulators and litigants

• Locate and collect data from 71,000 work stations and file servers and 2,500 backup tapes• Effectively pre-cull and deduplicate 500TB of data• Complete the initial processing of 10,000 priority workstations within 30 days• Process over 2.8TB every 24 hours for 180 days by December 31, 2009

ROIBuilt a defensible, end-to-end solution including Digital Safe, Autonomy Legal Hold, ECA, and Introspect

• Experienced over 50% savings over historical costs with automated analytical tools


Matheson Ormsby PrenticeInternational and financial legal firm based in Ireland

* CHALLENGE: During litigation surrounding the Bernie Madoff investment scandal, MOP found that their legacy eDiscovery suite could not handle the scale of information required for the case

SOLUTION: Implemented HP Autonomy eDiscovery solution in place – one of the first law firms to do so – without the need to migrate their existing data stores

* Implemented Autonomy Early Case Assessment

* Installed Autonomy WorkSite (document management)

EXECUTION: MOP chose to run a proof of concept, comparing manual review against review using Autonomy’s software, for 2,000 faxes.

• Manual review took 2 weeks

• Autonomy’s solution took 2 hours


Challenge: Although losing €4.2bn in trading – was Jerome Kerviel acting alone? He produced email traffic to imply that he was part of a team within the Bank’s Trading Floor.

Issue

How to prove whether such a team existed or whether Kerviel was inventing the email traffic?

Sanction:

Client and investor reputational credibility & extended time before resolution

Regulatory sanctions as to effective corporate governance

Technical issues:

Volume data in unstructured email format

Date in varieties of format – audio, visual and alphanumeric

Multiple external sources also to be accessed

All to be analysed at speed

Solution – provided to the Bank in New York:

Management in Place connectivity to diverse sources – proving he sent the emails to himself – so alone.

Collation, indexing, communications web. De-duplication and cluster via E Discovery solution

Apply Meaning Based Computing engine for Early Case Assessment

Societe Generale – Rogue Trader


Challenge: Prove to the Obama administration that their testimony as to state of knowledge about the rig construction and operation was correct

Sanction: US$26 billion collateral at stake if they could not rapidly verify their evidence in 3 months

Technical issues:

Volume data going back 5 years

Date in varieties of format – Audio, Visual & Alphanumeric

Potential multiple language complexity

Diverse IT architecture within BP

Multiple external sources to be accessed

All to be analysed and cross-checked at speed

Solution:

Management in Place connectivity to diverse sources

Collation, Indexing, communications web, de-duplication and cluster

Apply Meaning Based Computing engine for Early Case Assessment

Worksite Document Management for workflow

BP – Gulf of Mexico


Forensic Solution deliverables

Demonstration


Autonomy eDiscovery Solutions:

• Introspect

• Electronic Documents Discovery

• Early Case Assessment

• Legal Document Management

• Records Management

• Business Process Management

Regulator capabilities: The Serious Fraud Office

Autonomy from cradle to court, encompassing the complete EDRM lifecycle for the SFO

30 TB of seized ESI, collate, process, sift, cull and legally review

3 Months – a full deployment

1,000 different file formats from over 400 different repositories

“ The most immediate result of implementing Autonomy technology has been to reduce the time taken to get information from a hard drive from two to three weeks to three hours.”

Josh Ellis, CIO, Serious Fraud Office


Conclusions• Human firewall is finite – technical support is

highly advisable

• The Regulators know technology is available –so sheer volume of data or cost of investment decreasingly acceptable

• Sound anti-corruption policy requires access to universal corporate records

• Data interrogation has to be automated

• Surveillance and monitoring by engines are possible

• In-house swift Compliance forensics can be justified as to cost, financial and reputational

• If you don’t engage, then tooled-up Regulators can


Q&AContact UsDavid Kemp

EMEA Business Development Manager

Hewlett-Packard Ltd

[email protected]

+44 (0) 7867 558 680