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Enterprise Information Management. SOA Brown Bag #2. Sam Ceccola – SOA Architect. November 17, 2010. Agenda. What is EIM? EIM, SOA and SOE? EIM Key Characteristics Enterprise Information Model EIM Concepts Layered Architecture Data Virtualization Information Understanding

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Enterprise information management l.jpg

Enterprise Information Management

SOA Brown Bag #2

Sam Ceccola – SOA Architect

November 17, 2010

Agenda l.jpg

  • What is EIM?

  • EIM, SOA and SOE?

  • EIM Key Characteristics

  • Enterprise Information Model

  • EIM Concepts

    • Layered Architecture

    • Data Virtualization

    • Information Understanding

    • Information Analytics

    • Dissemination

    • Information Governance

  • Challenges of implementing EIM

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Data, Data Everywhere

Over the past 5 years, the amount of data we have has grown 10x…

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What is Enterprise Information Management?

  • EIM is a combination of Real-Time Business Intelligence, Traditional Business Intelligence and Enterprise Content Management

    • Business Intelligence is computer based techniques for turning data into wisdom

  • EIM provides virtualization and integration of Enterprise Data, utilizing both structured and non-structured data

  • EIM provides an Enterprise environment for a user to Discover, Manage, Understand, Analyze and Disseminate the information created by the Enterprise

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What is the relationship with EIM and SOE?

A Service Oriented Enterprise (SOE) is an organization whose business processes and IT infrastructure are integrated across the entire enterprise to deliver on-demand services to customers, partners and suppliers

  • Enterprise Information Management leverages a SOE environment by utilizing the following characteristics and technologies:

  • Data Virtualization

  • Real time and non real-time business intelligence

  • Model-driven

  • Enable architectural transparency (e.g., what, where, why, cost, relationships, etc.)

  • Treat rules, policies and processes as “first class citizens”

  • Automate Service Governance

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EIM Key Characteristics

  • Enterprise Information Model

  • Standards Based

  • Data Virtualization

    • Event Driven

    • Decision Support

    • Trend Analysis

  • Advanced analytics techniques

  • Link Analysis

  • Multi-Dimensional Analysis

  • Application of real and near real time collection techniques

  • Application of a common model & structure (Bottom up Modeling

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Enterprise Information Model

Is a representation of concepts, relationships, constraints, rules and operations to specify information

Semantics for an enterprise.

Representation in today’s technology utilizes a model known as an ontology

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What is in an Ontology?

  • Individuals: instances or objects (the basic or "ground level" objects)

  • Classes: sets, collections, concepts

  • Attributes: aspects, properties, features, characteristics

  • Relations: ways in which classes and individuals, can be related to one another]

  • Function terms: complex structures formed from certain relations that can be used in place of an individual term in a statement

  • Restrictions: formally stated descriptions of what must be true in order for some assertion to be accepted as input

  • Rules: statements in the form of an if-then (antecedent-consequent) sentence that describe the logical inferences that can be drawn from an assertion in a particular form

  • Axioms: assertions (including rules) in a logical form that together comprise the overall theory that the ontology describes in its domain of application

  • Events: the changing of attributes or relations

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EIM and Information Modeling

  • EIM allows for two types of Information Modeling

    • Top Down – a model is created from an analysis effort

    • Bottom Up – the system implies a model based on word meanings

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EIM Concepts

  • Layered Architecture

  • Data Virtualization

  • Information Understanding

  • Information Analytics

  • Dissemination

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EIM Concepts: Layered Architecture

Access Controls

Services Infrastructure


Context / Time

Static / Dynamic

Smart Phone



Client UI


Information Analytics

DData Virtualization

(No data duplication necessary)

Publish \ Subscribe



Business Data

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EIM Concepts: Data Virtualization

  • Concept for the ability to create a virtual data warehouse that can:

    • Consume and publish data from the stove pipes in near real time, hence solving the latency issue

    • Never permanently store the data to disk. Data is in flight, not at rest, which solves the multiple location issue

    • Provide a multi dimensional model to bring the data together, therefore solving the relationship issue

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EIM Concepts: Information Understanding

The ability to apply the information consumed from the enterprise to be applied to the model and domain in order to gain an understanding of information contextual meaning.

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EIM Concepts: Information Analytics


Once we understand information…How do we turn it into information?

EIM allows us to apply context such as relationships, time, space, geography, dollars etc.

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EIM Concepts: Dissemination

  • The ability to disseminate information and analysis of information in a timely fashion to a prescribed set of users

  • Dissemination can occur in many forms, portal, alerts, RSS, SMS etc.

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EIM Concepts: Information Governance

The need for information governance is driven by:

  • Security

  • PII

  • Other information privacy policies, perceptions and standards







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Challenges of Implementing EIM

  • Lack of Transparency

  • Lack of control

  • Security

  • Service level