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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..
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 G00143330 Gartner 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
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."
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.
The Enterprise Information Management Role How To build EIM Architecture
How To build EIM Architecture Inconsistent Data Disparate Data Poor Data Quality Business Process Platform & Application Portfolio No Traceability to Source
EIM Architecture Building in progress How do you effectively “bridge the gap” between your disparate data and your Business Process and Application Portfolio needs? Business Process Platform & Application Portfolio
EIM Architecture Building in progress A “traditional” approach that has practical benefits is transactional reporting, but it is limited for ad hoc queries when directly accessing source systems. Business Process Platform & Application Portfolio
EIM Architecture Building in progress Semantic Layer A more flexible approach is adding a semantic layer to simplify the understanding of source data. Business Process Platform & Application Portfolio
EIM Architecture Building in progress Semantic Layer Data Consolidation A data warehouse provides a consolidated and historical view of your data. Business Process Platform & Application Portfolio
EIM Architecture Building in progress Semantic Layer Data Consolidation Data Federation Data federation (also known as EII) provides real-time integration of disparate data. Business Process Platform & Application Portfolio
EIM Architecture Building in progress Semantic Layer Data Consolidation Data Federation Data Quality Data Quality Data consistency, accuracy, confidence, and trust delivered through enterprise data quality. Business Process Platform & Application Portfolio
EIM Architecture Building in progress Semantic Layer Data Consolidation Data Federation Data Quality Data Quality Understand the usage and relationships of data – where it comes from and how it is defined. Business Process Platform & Application Portfolio Metadata & Lifecycle Management
EIM Architecture Building in progress Semantic Layer Data Consolidation Data Federation Data Quality Data Quality Security and Access Management Maintain Security Control and User Access Traceability Business Process Platform & Application Portfolio Metadata & Lifecycle Management
Enterprise Information Management Architecture Business Process Platform & Application Portfolio
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
Metadata Management and Semantic Reconciliation Data Services
Customer Data Integration Product Content & Data Management Business Intelligence Applications Enterprise Content Management Custom Applications External Services Package Applications Business Services Repository Integrated Composition Technologies Business Process Composition Governance Layer Security Layer
EIM Architecture Example Better Business Outcomes 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 Other Information & Application Sources Flexible Architecture for Leveraging Existing Investments
EIM Architecture example
EIM Architecture example
EIM in Life Science Manufacturers Example Leverage Clinical Research Information Assets Gartner ID Number: G00138830
Information on Demand Framework Information Services Integrated Technologies Provisioning (Solution Hosting / Outsourcing) Governance Strategy (Vision, Roadmap, Process Design, Org Design) Others.. abc… DB2 xyz… Heterogeneous Processes, Applications & Information Business Enabling Services Risk & Compliance Management Business Analysis & Discovery Knowledge Worker Productivity Business Performance & Process Management Master Data Management Business Resilience System Mgmt & Maintenance Systems Integration & Testing Infrastructure Strategy & Planning Security & Privacy 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 Gartner ID Number: G00139111
Essential Building Blocks of EIM Gartner ID Number: G00139111
Garner EIM Characteristics Gartner ID Number: G00139111 How well are measures, such as data quality, adopted and practiced across the information supply chain? Quality Measures How well is information organized to support enterprise processes? How well does the information infrastructure support business performance? Tools and Technologies 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? Life Cycle Practices How robust and enforceable is information governance? How well do accountabilities cascade across the organization? Policies and Procedures How well do technical and business roles incorporate information-related responsibilities? Who’s involved, and where are they positioned in the organization? Information-Centric Roles 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 Value Definition Characteristics
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).
Gartner ID Number: G00138830
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)
Gartner ID Number: G00138830
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 Blocks 2 Enabling the EIM architecture in your Enterprise is a step by step process 3 Summary
Introducing Enterprise Information Management (EIM) – By Rob Rohloff – BusinessObjects
Reference Architecture – By Larry Gosselin – GBS IBM
A Solid Enterprise Information Management Strategy Demands an Information Access Platform – By Whit Andrews, Rita E. Knox – Gartner
EIM Reference Architecture: An Essential Building Block for Enterprise Information Management – By David Newman – Gartner
Federal Enterprise Architecture - Chief Information Officer Council
An Enterprise Data Management Overview – By Michael F. Jennings - EW Solutions
Enterprise Information Management for Government – By Richard G. Harris - Gartner
Enterprise Information Architecture – By Paul Sturlis - The Data Administration Newsletter
Enterprise Information Management Helps Life Science Manufacturers Leverage Clinical Research Information Assets By C.Rozwell, D.Newman – Gartner
Information architecture essentials, Part 2: Managing enterprise information By - Benjamin Lieberman, Ph.D. - IBM