Architettura di EIM

Architettura di Enterprise Information Management

Brunello Bonanni

IBM Italia S.p.A.

Agenda

Enterprise Information Management Meaning

Gartner EIM Architecture

Il Ruolo dell’Enterprise Information management

The Enterprise Information Management Role

The EIM and the market proposition

EIM Adoption Model

Bibilography

Old fashion definitions

Enterprise information management is the name for the field that combines business intelligence (BI) and

enterprise content management (ECM).

Enterprise information management (EIM) takes these two approaches to managing information one step further, in that it

approaches the information management discussion from an enterprise perspective.

Where BI and ECM respectively manage structured and unstructured information, EIM does not make this rather "technical" distinction.

It approaches the management of information from the perspective of enterprise information strategy, based on the needs of information workers.

ECM and BI in a sense choose a denominationalised approach, since they only cover part of the information within an organization. This results in a lack of available information during decision making processes, market analysis or procedure definition..

Defining Enterprise Information Management

Enterprise information management (EIM) is an integrative discipline for structuring, describing and governing information assets, regardless of organizational and technological boundaries, to

improve operational efficiency, promote transparency and enable business insight.

Source: Gartner - Definition Clarifies the Role of Enterprise Information Management - ID Number: G00143330

EIM Definition Components and Objectives (1/2)

"EIM is an integrative discipline…" EIM brings together technology, business and organizational disciplines to exploit

information as a strategic asset and to overcome existing information "silos." EIM contains a set of essential building blocks, which are implemented as a coordinated,

ongoing program with a defined budget, charter, project plan and resource commitment. It is a process pursued on a continual basis, rather than as a project constructed and

implemented with a defined beginning and end.

"…for structuring, describing and governing information assets…" EIM provides organized, consistent, secure and accessible content to those individuals

who are empowered with the authority, accountability and decision rights for the proper control and oversight of enterprise assets.

EIM Definition Components and Objectives (2/2)

"…regardless of organizational and technological boundaries…“ EIM spans described (also known as structured) and undescribed (also known as semi-

structured or unstructured) content sources, inside and outside the organization. EIM supports IT mandates for flexibility, adaptability and productivity. It addresses current and anticipated information barriers, and it delivers the continuous

and action-oriented flow of information required for agile enterprises.

"…to improve operational efficiency, promote transparency and enable business insight." EIM eliminates redundancy in data and processes, enables the lineage of information

assets across the applications portfolio and establishes the common information infrastructure required to support business intelligence and performance management initiatives in using and analyzing information assets and metrics.

EIM Reference Architecture

Source: Gartner 2005 - ID Number G00143330Gartner Group - EIM Reference Architecture – Essential Building Block for Enterprise Information Management

It is a standards-based open platform that consists: Closed-loop information flows for master data and converged content

Metadata management and semantic reconciliation

Data services

Continuous, Closed Loop Information Flows

The struggle to ensure that information can flow seamlessly and continuously across boundaries remains a significant barrier to business strategy execution.

Historically, each application maintained its own data store to support local performance, persistence and processing requirements.

This complicated business integration objectives because each application maintained its own "version of the truth."

EIM infrastructure

Metadata Management and Semantic Reconciliation Layer

Metadata management pervades the EIM reference architecture.

Metadata is the business and technical byproducts and artifacts of application development and integration efforts.

It is scattered throughout the organization in unmanaged file folders, disparate databases, spreadsheets, local desktops and even desk drawers.

EIM brings an organized approach to metadata management, enabling the optimization, abstraction and semantic reconciliation of all disparate metadata to support reuse, consistency, integrity and share ability of enterprise information assets.

EIM infrastructure

Business Process Platform&

Application Portfolio

Data Services Layer

Data services format, standardize, distribute and provide access to information across the organization.

Most organizations apply a variety of overlapping data integration tools and techniques to distribute, cleanse, transform and profile information assets across the enterprise.

Therefore, a goal of the EIM program is to coordinate, standardize and consolidate the use of these technologies.

EIM infrastructure

The Enterprise Information Management Role

How To build EIM Architecture



How To build EIM Architecture

Inconsistent Data

Disparate Data

Poor Data Quality

No

Traceab

ility to S

ou

rce

EIM Architecture Building in progress

How do you effectively “bridge the gap” between your disparate data and your Business Process and Application Portfolio needs?




A “traditional” approach that has practical benefits is transactional reporting, but it is limited for ad hoc queries when directly accessing source systems.




A more flexible approach is adding a semantic layer to simplify the understanding of source data.

Semantic Layer




A data warehouse provides a consolidated and historical view of your data.

Semantic Layer

Data Consolidation




Data federation (also known as EII) provides real-time integration of disparate data.

Semantic Layer

Data Consolidation

DataFederation




Semantic Layer

DataConsolidation

DataFederation

Data Quality

Data Quality

Data consistency, accuracy, confidence, and trust delivered through enterprise data quality.




Semantic Layer

DataConsolidation

Data Federation

Data Quality

Data Quality

Understand the usage and relationships of data – where it comes from and how it is defined.



Met

adat

a &

Lif

ecyc

le M

anag

emen

t


Semantic Layer

DataConsolidation

Data Federation

Data Quality

Data Quality

Sec

uri

ty a

nd

Acc

ess

Man

agem

ent

Maintain Security Control and User Access Traceability



Met

adat

a &

Lif

ecyc

le M

anag

emen

t

Enterprise Information Management Architecture



EIM Reference Architecture

Product Master Data

Asset Master Data

External Data Sources

Across Structured, Semi-Structured and Unstructured Content

Across Transactional, Operational and Analytical Sources

Enterprise Data

Warehouse

Customer Master Data

• Models • Standards• Schemas • Repositories • Search• Business Rules • Classification

Metadata Management and Semantic Reconciliation

Data Services• Data Transformation• Content Integration

• Data Access• Data Quality

• Data Stewardship• Data sourcing

• Data Movement• Data Enrichment

Customer Data Integration

Product Content & Data Management

Business Intelligence Applications

Enterprise Content Management

CustomApplications

External Services

PackageApplications

Business Services Repository

Integrated Composition Technologies

Business Process Composition

Go

ve

rnan

ce

La

yer

Go

ve

rnan

ce

La

yer

Se

curi

ty L

ay

erS

ecu

rity

La

yer

EIM Architecture Example

Better BusinessOutcomes

Establish accurate, trusted information for a single version of

the truth, managed over time

Leverage information to better understand and optimize

business performance

An efficient and solid foundation for managing data and content

over its lifecycle

Customer & Product Profitability

Workforce Optimization

Dynamic Supply Chain Multi-Channel

Marketing

Financial Risk Insight

Business Optimization

Flexible Architecture for Leveraging Existing Investments

Other Information & Application Sources

EIM Architecture example

EIM in Life Science Manufacturers ExampleLeverage Clinical Research Information Assets

Gartner ID Number: G00138830

Information on Demand FrameworkIn

form

ati

on

Se

rvic

es

IntegratedTechnologies

Provisioning (Solution Hosting / Outsourcing)

Go

ve

rna

nc

e

Str

ate

gy

(V

isio

n,

Ro

ad

ma

p,

Pro

cess

De

sig

n,

Org

De

sig

n)

Others..abc…DB2 xyz…

Heterogeneous Processes, Applications & Information

Business EnablingServices

Risk & ComplianceManagement

Business Analysis& Discovery

Knowledge Worker Productivity

Business Performance &

Process Management

Master Data Management

Business Resilience

System Mgmt & Maintenance

Systems Integration& Testing

InfrastructureStrategy & Planning

Se

cu

rity

& P

riv

ac

y

Analysis & Discovery Services

Master Data Services

Information Integration Services

Data Services

Content Services

Process Innovation

EIM Adoption Model

Moving from IM to EIM

Gartner EIM Adoption Model


Essential Building Blocks of EIM


Garner EIM Characteristics

Characteristics Definition

Information Value How well are information-related costs (costs to obtain, generate, maintain and access information) and information-related benefits (gains on process and function performance, revenue and margin contribution) balanced?

Information-Centric Roles How well do technical and business roles incorporate information-related responsibilities? Who’s involved, and where are they positioned in the organization?

Policies and Procedures How robust and enforceable is information governance? How well do accountabilities cascade across the organization?

Life Cycle Practices How well do infrastructure and operations contribute to or detract from information management and accessibility? How well are information-centric activities embedded into the system development life cycle?

Tools and Technologies How well is information organized to support enterprise processes? How well does the information infrastructure support business performance?

Quality Measures How well are measures, such as data quality, adopted and practiced across the information supply chain?


Eight Essential Steps to Enable EIM (1/2) Validate the vision

Confirm that accurate, consistent, secure and transparent information flowing among the partners in the clinical trials network supports the life science manufacturer's corporate vision.

Establish the strategic commitment to EIM Make sure that EIM is operationalized as a program that includes projects, budgets, personnel and

governance processes. The EIM program needs a defined charter, organization and resource plan so that it can integrate multiple work streams of activity.

Determine how to handle information governance EIM governance should address the development, maintenance, communication and enforcement

of information management policies and procedures. There are multiple governance structures — centralized, decentralized, council and competency center — the pros and cons of which will be discussed in future research. Governance also includes the selection of appropriate CDISC standards and a plan to convert from internal data formats to industry standards.

Design the EIM organization Key capabilities include study-level modeling; metadata management and semantic reconciliation;

clinical data quality and management; implementation of technology infrastructure data services layer; infrastructure for continuous flows between analytical, operational and transactional systems; knowledge of industry standards; and EIM program administration (including budgeting, resource management, education and project tracking).


Eight Essential Steps to Enable EIM (2/2) Create new roles to support EIM processes

One role is information stewardship, which addresses compliance requirements for the increased accountability and transparency of information across the organization. Other important processes are model management and process improvement support.

Define the EIM infrastructure technology components These will include tools for protocol design, document management, data quality,

analysis and warehousing, along with metadata management and preparation of regulatory submissions.

Re-evaluate and redesign information architecture taking into account the separation of master data from the business applications:

Establish a dialogue about recognition of master data, metadata, non-master data and how a new design for information architecture will lead to a change in the way that business processes and analytics are developed.

Craft metrics that will reveal EIM's impact on study performance Potential measures include time (for example, faster study startup because of reuse of

case report forms and database design or time from last subject completed to database lock), cost (such as data entry expense), quality (such as reduction in the number of queries on incoming data or protocol violations) and value (such as the ability to perform cross-trials analyses)


Enterprise information management (EIM) is an integrative discipline for structuring, describing and governing

information assets

1

You can effectively “bridge the gap” between your disparate data and your Business Process and Application Portfolio

with an EIM Architecture based on Building Blocks2

Enabling the EIM architecture in your Enterprise is a step by step process

3

Summary

1. Introducing Enterprise Information Management (EIM) – By Rob Rohloff – BusinessObjects

2. Reference Architecture – By Larry Gosselin – GBS IBM

3. A Solid Enterprise Information Management Strategy Demands an Information Access Platform – By Whit Andrews, Rita E. Knox – Gartner

4. EIM Reference Architecture: An Essential Building Block for Enterprise Information Management – By David Newman – Gartner

5. Federal Enterprise Architecture - Chief Information Officer Council

6. An Enterprise Data Management Overview – By Michael F. Jennings - EW Solutions

7. Enterprise Information Management for Government – By Richard G. Harris - Gartner

8. Enterprise Information Architecture – By Paul Sturlis - The Data Administration Newsletter

9. Enterprise Information Management Helps Life Science Manufacturers Leverage Clinical Research Information Assets By C.Rozwell, D.Newman – Gartner

10. Information architecture essentials, Part 2: Managing enterprise information By - Benjamin Lieberman, Ph.D. - IBM

Bibliography

Architettura di EIM

Technology

Transcript of Architettura di EIM