Architettura di EIM
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  • So. Here’s a summary of the problems we’ve seen so far in providing a solid foundation for trusted BI. Data quality, disparate data, inconsistent terms, and traceability back to the source. How can organizations deal with these issues?, and in particular, what can Business Objects do to help?
  • Companies have systems that run the business. Companies also have BI requirements. Trusted data is a major obstacle to successful BI initiatives EIM help you bridge the gap, and deliver trusted information
  • Direct access is a traditional approach that many of our Crystal customers have used This approach has it’s challenges: performance, data integrity, difficulty of combined reporting from different operational systems, access to historical info for comparisons, trending, etc.
  • Next alternative is the addition of a semantic layer… commonly known as the BOBJ universe Simplifies the reporting process/shields the complexities, give meaningful business names, provides for calculation of measures, provide information filtering leveraging security profiles.
  • One trend is building a dedicated reporting environment: DWH/DM/etc. For performance, provide a broader view of the business by consolidating data from multiple operational systems, address data quality, store history, capture changes (provide for SCD). Data Integration (ETL) is approx 75% of the dev/maint of any DWH project and DI provides 5 to 15 TIMES better productivity than using procedural coding to provide this function. This also the process where you want to address data quality issues. DI (our ETL tool) provides data profiling as well as data validation and auditing capabilities to proactively manage data quality, before it gets into the reporting environment.
  • Usually considered a complementary solution, DF takes the approach of building a virtual DWH. Like direct access but hiding the complexity, providing data cleansing, delivers fast query performance, while minimizing the performance impact in the source system. (Provides Intelligent distributed query processing). Like a Super Universe on steroids. This virtual model is developed via a web based GUI, for ease of use, and fast development. Provides fast access, to any data in your enterprise, in real-time, quickly and easily. Agility vs DWH sol
  • Managing Data Quality is critical, whether from source systems or external sources, and often time you need to easily merge data together from these multiple sources. If users do not understand or trust the data, the project will not be successful! So in addition to the profiling, validation and auditing that comes in Data Integrator, we have an additional more robust Data Quality option. This is technology we acquired last year with our acquisition of First Logic, who was the market leader in this space.
  • It is helpful to have a centralized view of all the Metadata in your environment. Metadata Manager provides an automated way to capture your existing metadata where it resides and consolidate it together in one repository providing you a single, end to end view. It allows you insight into the relationships of objects, highlights the lineage of data, as well as the impacts of changes and ongoing development across your entire environment.
  • It is helpful to have a centralized view of all the Metadata in your environment. Metadata Manager provides an automated way to capture your existing metadata where it resides and consolidate it together in one repository providing you a single, end to end view. It allows you insight into the relationships of objects, highlights the lineage of data, as well as the impacts of changes and ongoing development across your entire environment.
  • So. Here’s a summary of the problems we’ve seen so far in providing a solid foundation for trusted BI. Data quality, disparate data, inconsistent terms, and traceability back to the source. How can organizations deal with these issues?, and in particular, what can Business Objects do to help?
  • Presentazione della Architettura di Enterprise Information Management Comunicando la capacità di IBM Information Management di: avere una visione integrata per rispondere in modo sinergico rispetto agli obiettivi dell’Information On Demand presentarsi con una offerta strutturata capace di rispondere efficacemente alle esigenze dei clienti

Architettura di EIM Presentation Transcript

  • 1. Architettura di Enterprise Information Management Brunello Bonanni IBM Italia S.p.A.
  • 2. 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
  • 3. 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..
  • 4. 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
  • 5. 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.
  • 6. 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.
  • 7. 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
      • Data services
  • 8. 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
  • 9. 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
  • 10. 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
  • 11. The Enterprise Information Management Role How To build EIM Architecture
  • 12. How To build EIM Architecture Inconsistent Data Disparate Data Poor Data Quality Business Process Platform & Application Portfolio No Traceability to Source
  • 13. 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
  • 14. 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
  • 15. 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
  • 16. 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
  • 17. 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
  • 18. 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
  • 19. 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
  • 20. 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
  • 21. Enterprise Information Management Architecture Business Process Platform & Application Portfolio
  • 22. 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 Custom Applications External Services Package Applications Business Services Repository Integrated Composition Technologies Business Process Composition Governance Layer Security Layer
  • 23. 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
  • 24. EIM Architecture example
  • 25. EIM Architecture example
  • 26. EIM in Life Science Manufacturers Example Leverage Clinical Research Information Assets Gartner ID Number: G00138830
  • 27. 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
  • 28. EIM Adoption Model Moving from IM to EIM
  • 29. Gartner EIM Adoption Model Gartner ID Number: G00139111
  • 30. Essential Building Blocks of EIM Gartner ID Number: G00139111
  • 31. 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
  • 32. 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
  • 33. 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
  • 34. 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
  • 35.
    • 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
    Bibliography
  • 36.