IBM y el gobierno y análisis de datos no estructurados
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Transcript of IBM y el gobierno y análisis de datos no estructurados
Gobierno y análisis de datos no estructurados
Gregorio Gómez Amor
Director Enterprise Content Management
IBM España, Portugal, Grecia e Israel
Real Academia Española 13 Junio 2014
Agenda09:30 ¿Cómo hacer que mi información cumpla con las normativas vigentes?
Gregorio Gómez Amor, Director Enterprise Content Management, IBM España, Portugal, Grecia e Israel
09:40 Gobierno del dato no estructurado: tendencias, retos y soluciones inteligentes
Dr. Donald Macfarlane, JD, PhD
Information Lifecycle Governance: Legal, Regulatory and Compliance Solution Consultant
10:10 Propuesta de valor y estrategia de IBM para Information Lifecycle Governance
Carlos García Sanz, Vendedor especialista soluciones ECM, IBM
10:40 Demostración práctica
Hector Casals Méndez, Técnico especialista ECM, Information Lifecycle Governance , IBM
11:00 Analítica del dato no estructurado - Enfoque y soluciones
Francisco Izquierdo Catalán, Técnico especialista en gestión de analítica de la información, IBM
11:25 Conclusiones y cierre
11:30 Cóctel
12:15 Visita guiada a la Real Academia Españoa
¿Cómo hacer que mi información cumpla con las normativas vigentes?
¿Tiene ficheros y ficheros compartidos que sabe que no se han usado durante años
y que le gustaría limpiar? A lo mejor consecuencia de una fusión o adquisición que
están consumiendo infraestructura y que pueden suponer un riesgo para su empresa.
¿Cuánta información de este tipo cree que puede tener?
¿Cuánta información no estructurada cree que puede tener en ficheros, páginas web
de colaboración y emails?
¿Tienen archivos de correo o conjuntos de datos que se han quedado de actividades
de migración de datos?
¿Están hoy estos conjuntos de datos y ficheros en un proceso de e-discovery?
¿Qué cantidad de sus datos cree que está duplicada?
Gobierno del dato no estructurado: tendencias, retos y soluciones inteligentes
Dr. Donald Macfarlane, JD, PhDInformation Lifecycle Governance: Legal, Regulatory and Compliance Solution Consultant
Enterprise Big Data Dilemma
Data capacity in enterprises is growing at 40% to 60% year over year due to a number of factors, including an explosion in unstructured data, such as email and documents that have to be stored due to regulatory requirements that continue to evolve and change.
Gartner
Source: Gartner
For many organizations, improving information economics is vital
$4M
per petabyte to store
$18K
per gigabytein eDiscovery
>40%
annual data growth budget growth
1%
Rising information volumes, costs and risks, as well as declining values and budgets
Information value declines over time, but cost and risk do not; rising volume puts tremendous economic pressure on legal, business and IT
Cost
Risk
Value Cost-to-Value Gap
Risk-to-Value Gap
1 Source: Big data: The next frontier for innovation, competition, and productivity McKinsey & Company, 2011 Study2 CGOC 2012 Summit Survey3 Gartner e-discovery Report
• Information volume doubles every 18-24 months in most organizations
• 90% of the world’s information was created in the last 2 years1
• It costs $18,000 to do e-discovery on 1 gigabyte3
• e-discovery consumes as much as half of litigation budget
• It costs $4 million to store 1 petabyte of data
• Data storage will consume 20% of most IT budgets
Typical organization dynamics: 1% of data is on litigation hold and 5% is subject to regulatory obligation25% has current business value68% of data is debris that should be disposed – its cost and risk exceed its value2
Do Nothing Scenario and Changes to European Law
Exponential information growth
Outpaces IT budget
Outpaces risk control systems and processes
Quantity and accessibility increase discovery risk and total litigation cost exposure
Accessibility, reliability and utility undermine decision processes
Integrity and accessibility compromise financial reporting
Reliability, integrity and accessibility impact business performance
Data
Risk
Litigation Cost
Reliability
Outpaces business system capacity and compromises accessibility in key business processes, litigation discovery
Right to be forgotten - Judgment in Case C-131/12, Google Spain SL, Google
Inc. v Agencia Española de Protección de Datos, Mario Costeja González
Banks fined record €1.71bn by EC over rate-fixing cartel scandal
Data volume is exploding—but IT budgets are flat
or only slightly increasing.
•IT staffing is not expected to increase proportionally
•70% of IT spending is keeping the business running
The value of information is not aligned with the
cost of managing the information.
The business environment is becoming more
complex, with more regulations, more rules—
and more litigation.
Over retention introduces IT burden and
increases risk.
The effect of uncontrolled growth
Data growth affects multiple stakeholders
Director of IT
• Pressured to simplify environment
• Has large storage spend—and it is
growing
• Sees backup and system
maintenance windows shrinking
• Needs more hardware (and more
frequent) refreshes to maintain
performance
• Needs to redirect staff to support
legal requests
• Not clear about what data is
important and what can be deleted
Flat budget, limited
resources and unreal
data growth
General counsel
• Sees tremendous risk in over
retention
• Depends on IT for initial collection,
which takes time and often needs
multiple passes
• Not confident that all data is
collected and properly placed on
hold (local archive files etc)
• Sees cost of external review
rocketing
• Worries about lack of control on
information sharing: data loss
prevention through email, privacy,
Sensitive Personal Information
Growing volume of
litigation and more
regulations than ever
Business user
• Does not know or understand rules
for data management and sharing
• Frustrated by quotas and creates
“workarounds”
– Saves important work to local
PST files
– Sometimes sends important
information to private email
account for “safekeeping”
• Wants simple access to his or her
data—without additional steps or
tools
More work and no time
to deal with manual
processes
Information Lifecycle Governance to realize defensible disposal
IGRM Information
Lifecycle Governance
RIM
LEGALPRIVACY
AND SECURITY
BUSINESS
IT
ILG
hub
AnalyticsDiscovery
Disposal
ArchivingRetention
Apply transparency to legal and business obligations and to policies for data that is managed by value
Automatically apply retention schedules and legal holds on data to consistently dispose of unnecessary structured and unstructured data
Plan and execute “demandcontrols” across a data sourceportfolio and environment
Curb storage growth and achieve steady-state capacity through disposal and virtualization
Lower IT cost and risk: governance and disposal
Ask yourself and your clients can you:
RIM
LEGALPRIVACY
AND SECURITY
BUSINESS
IT
ILG
hub
AnalyticsDiscovery
Disposal
ArchivingRetention
Archive email files, application dataand social content based on its business value
Retain, hold and dispose of archived content efficiently
Govern structured and unstructured archives with unified policy management and automation
Deduplicate and compress data to reduce storage space and cost
Lower IT cost: value-based archiving
Ask yourself and your clients can you:
RIM
LEGALPRIVACY
AND SECURITY
BUSINESS
IT
ILG
hub
AnalyticsDiscovery
Disposal
ArchivingRetention
Search, retrieve and share content of value across teams, processes and projects
Find patterns, insights and structure in aged or loosely organized unstructured data
Eliminate manual mail box and file cleanup in “at capacity” situations
Get fast access to unstructured and application data
Manage big data, not bad data
Gain business value: information availability and analytics
Ask yourself and your clients can you:
RIM
LEGALPRIVACY
AND SECURITY
BUSINESS
IT
ILG
hub
AnalyticsDiscovery
Disposal
ArchivingRetention
Control global taxonomy and retention schedules for all information
Coordinate a retention program across business units, records liaisons and legal more efficiently
Manage records in disparate systems in a centralized manner
Syndicate and enforce retention schedules for structured and unstructured records and information
Lower retention cost and risk: records and information management
Ask yourself and your clients can you:
RIM
LEGALPRIVACY
AND SECURITY
BUSINESS
IT
ILG
hub
AnalyticsDiscovery
Disposal
ArchivingRetention
Issue and automate legal holds with precision across people and systems with data
Collect, cull and assess evidence and control costs
Manage custodians, collections and data source obligations in concert with IT
Lower legal risk: rigorous, efficient electronic discovery
Ask yourself and your clients can you:
RIM
LEGALPRIVACY
AND SECURITY
BUSINESS
IT
ILG
hub
AnalyticsDiscovery
Disposal
ArchivingRetention
Financial Services Health Care Other VerticalsEnergy
You are not alone, these companies chose to act
CIOCIO
Summary - important to enable both Hard and Soft Savings
as you structure a program and assess potential savings
Hard Savings Soft Savings
Dollars that fall directly to the bottomline• Easiest to relate too and capture
• Examples:– Storage reduction– Server reduction– Software license reduction– Reduction in offsite storage costs (i.e.Iron Mountain)– Hosting fee reductions– People costs: reduction in force basedon clear efficiencies– Ediscovery vendor cost reductions
• Potential savings that require additionalwork in order to achieve hard savings
• Examples:– Process efficiencies: must enactadditional measures to implementprocess efficiencies– Time related to searching for andsecuring documents– Time related to recreating historic facts– Reduction of risk meeting litigation andcompliance obligations– People costs: reduction in personnelrelated to process or managementefficiencies (requires actual reallocationof personnel to a different cost center)
Source: CGOC Summit 2014, Information at Work
Carlos García Sanz
Vendedor Especialista Soluciones IBM ECM
Information Lifecycle Governance (ILG)Propuesta de valor y estrategia de IBM
Agenda
Problemática actual
Soluciones ILG y valor aportado
Casos de referencia
Acerca de IBM
Agenda
Problemática actual
Soluciones ILG y valor aportado
Casos de referencia
Acerca de IBM
Enormes volúmenes de información
Tasa a la que el volumen de información se duplica
Proporción de la información retenida innecesariamente
18-24 meses
El 90% de la información de
todo el mundo se ha creado
en los 2 últimos años
69%
Información de una organización que no tiene valor de negocio ni obligación
legal o corporativa de retención
Source: IDC Digital
Universe, "Extracting
Value from Chaos”
Source: CGOC Summit
Survey
Información retenida indefinidamente
69%
Valor de negocio
Eliminación de datos innecesarios = Reducción de coste y riesgo
25%
Retención legal 1%
Registro normativo, regulatorio 5%
SOURCE: A Modern Governance Strategy for Data Disposal, cioinsight.com, by Lorrie Luellig, 2012
Información sin
obligación ni valor =
datos innecesarios
Estrategia de gobierno de la información a seguir
”The best way to reduce the
amount of data —delete it.“ —Sheila ChildsResearch VP, Gartner
Agenda
Problemática actual
Soluciones ILG y valor aportado
Casos de referencia
Acerca de IBM
Soluciones de Information Lifecycle Governance
Legacy Data
Cleanup
Value-based
Archiving
eDiscovery
Management
Records &
Retention
Management
Defensible
Disposal
Legacy Data Cleanup
Legacy Data
Cleanup
Policy Assessment and Compliance
Indexa y analiza los datos visualmente, en su localización nativa, para borrarlos o moverlos posteriormente
Desktop & Mobile Data Collector
Extiende la gestión a los dispositivos de los empleados
Coste de almacenar, administrar y realizar backups de 1 PB de datos
3 M€ anuales
Value-Based Archiving
Content Collectors
Archivado de Email, File Systems, Connections, SharePoint y SAP
Content Classification
Automáticamente categoriza y organiza el contenido
Volúmenes de datos creciendo 20-50% anual, mucho más rápido que los
presupuestos de ITValue-based
Archiving
eDiscovery Management
Atlas eDiscovery Process Management
Gestiona las retenciones legales y los procesos de recogida de información
eDiscovery Manager & Analyzer
Filtra, descarta y etiqueta los datos recogidos
Coste eDiscovery sobre 1GB 13 k€
Coste recolección, descarte y revisión información por caso legal 2 M€
eDiscovery
Management
Record & Retention Management
Global Retention Policy & Schedule Management
Gestiona los plazos globales de retención y la taxonomía de los registros
Enterprise Records
Automatiza su captura, retención, eliminación
Política de retención centralizada tanto para datos no estructurados como para
datos estructurados (IBM Optim)Records &
Retention
Management
Information Economics Solution Set
Defensible Disposal
Defensible
Disposal
Agenda
Problemática actual
Soluciones ILG y valor aportado
Casos de referencia
Acerca de IBM
BlueCross BlueShield of Tennessee reduce costes de litigación
ahorrando hasta $1 millón por caso
Novartis AG incrementa por 10 la capacidad de eliminación
defendible de datos
Agenda
Problemática actual
Soluciones ILG y valor aportado
Casos de referencia
Acerca de IBM
Acerca de IBM
Líder consistente en los ‘ECM Magic Quadrants’ de Gartner
Vendor con la mayor cuota en el mercado –IDC Market Research
Innovación: 20 laboratorios, 8 países
ILG no un silo, sino integrado en el portfolio de IBM ECM (60+ offerings)
Verdadera escala empresarial de datos (PB) con indexado y búsqueda
Infraestructura (IaaS), servicios, consultoría y soporte técnico
GRACIAS
www.ibm.com/ilg
www.ibm.com/software/es/ecm