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World-Class Enterprise Information Management Training

  • Introduction to Enterprise Data Governance   link arrow

    Data and information are critical assets of any organization, and should be considered as valuable a resource as buildings, employees and products. For a company to gain a significant competitive advantage, it must focus on managing and using its data effectively. Data stewardship and the governance of information assets are essential parts of any relevant information systems strategy for the 21st century. Moreover, without a successful data stewardship and governance program it is impossible to properly implement an enterprise master data management effort or any enterprise spanning activity.

  • Data Stewardship Training    link arrow

    Data and information are critical assets of any organization, and should be considered as valuable a resource as buildings, employees and products. For a company to gain a significant competitive advantage, it must focus on managing and using its data effectively. For those chosen to serve as a data steward, an understanding of governance and a thorough grounding in the concepts and activities of a data steward are essential to success.

    This course combines an overview of enterprise data governance with the practical and proven practices and techniques used by successful data stewards. Formulated for business as well technical data stewards, the course is conducted as a workshop where students learn the concepts in data stewardship and apply them in a case study approach. Data Stewardship Training is essential for any data steward, and can be the catalyst for a successful data stewardship function.

  • Enterprise Data Stewardship & Governance: Full Lifecycle Roadmap   link arrow

    Data and information are critical assets of any organization, and should be considered as valuable a resource as buildings, employees and products. For a company to gain a significant competitive advantage, it must focus on managing and using its data effectively. Data stewardship and the governance of information assets are essential parts of any relevant information systems strategy for the 21st century.

    Moreover, without a successful data stewardship and governance program it is impossible to properly implement an enterprise master data management effort or any enterprise spanning activity. Enterprise Data Stewardship & Governance is intended for data stewards and data governance professionals, data administrators and business analysts.

  • Developing a Strategy for Data Governance and Stewardship    link arrow

    Data stewardship and the governance of information assets are essential parts of any relevant information systems strategy so the organization can manage their information. This requires a strategy for governance and stewardship - a strategy most organizations do not currently have.

    This seminar will offer a methodology for creating and implementing a strategy for a data governance and stewardship program whether as part of an enterprise information management initiative or as a separate effort. The attendee will gain an understanding of the importance of data governance, the role of stewardship in a governance program, the various types of data and metadata to be governed, and a plan for instituting a data governance program within their organization. Each attendee will create a governance and stewardship strategy for their organization through workshops during the course.

  • Data Modeling for Managers and Executives   link arrow

    This course is designed to teach managers and executives about the process of logical data modeling and demonstrate the methods their analysts will use to model the data needed by a project or the enterprise. This interactive course provides a combination of lecture and small workshop exercises using a continuing case study that allows the student to grasp and practice the concepts of logical data modeling. It blends basic data modeling activities and concepts with the enterprise view of business data needs.

  • Conceptual Data Modeling – Resisting the Urge to go Physical   link arrow

    This seminar will demonstrate the problems caused by starting the data modeling process with a physical or logical model, and how following a phased data modeling approach, starting with a Conceptual Data Model (CDM), will result in systems which meet business expectations for quality data and information. Conceptual Data Models, as part of the requirements gathering phase, will help set better expectations, identify resource requirements, and reduce costs because of the business understanding the CDM provides to IT and business. When proper entities and relationships are identified at the start of the project, costly mistakes are avoided in downstream models and implemented systems. This course will teach the participant how to develop and use CDM’s in the context of a phased modeling approach. This EWSolutions-certified class is workshop focused since design concepts are best learned from doing. The course workshops are oriented to solving problems that you have in your current projects. These exercises allow you to learn how the concepts are applied and how to develop skills in all phases of modeling for all types of systems.

  • ER Studio Data Modeling / Repository Development   link arrow

    This seminar provides an overview of data modeling and meta data management, along with training in the data modeling product, ER Studio, from Embarcadero Technologies. ER Studio enables data modelers and database analysts to create, understand, and manage all database designs within an enterprise. ER Studio has strong logical design capabilities, the ability to manage logical-to-physical models, reverse engineer database structures into logical design, and provides robust meta data management support and reporting capabilities.

    In addition to data modeling and database design, this course includes an overview of meta data management concepts and shows how to use ER Studio as a basic meta data repository.

  • Data Modeling Workshop   link arrow

    Data modeling provides a vehicle for users and information professionals throughout the organization to work together to clearly and consistently articulate business rules and requirements. Building data models allows an organization to identify the important data needed for business purposes, without regard to a specific application or implementation. Application data models should follow an integrated approach to information architecture and data model development that leads to stable, flexible and reusable database designs, and to the eventual creation of an enterprise data model.

    This course takes each aspect of data modeling – conceptual, logical, physical, dimensional and enterprise – and in a workshop format allows the students to develop a full modeling portfolio. While concentrating on the logical and physical forms of modeling, the course gives the students a complete view of the concepts, practices, tools and techniques for creating and maintaining all forms of an enterprise’s data models.

  • Enterprise Data Model Development    link arrow

    Enterprise data modeling is the set of activities that enables an organization to identify, categorize and define their data assets. An enterprise data model provides the structure around which most data-oriented decisions can be made, including the evaluation of packaged applications, the re-engineering of legacy systems, the development of a data warehouse or other decision support environment.

    This course is designed to teach students how to locate, define and represent the data needed by the enterprise. This interactive course provides a combination of lecture and small workshop exercises using a continuing case study that allows the student to grasp and practice the concepts of data modeling on an enterprise scale. It blends basic data modeling activities and concepts with the enterprise view of business data needs. It can be presented using a particular modeling tool or can be taught independent of any modeling tool.

  • Fundamentals of Enterprise Information Management (EIM)   link arrow

    This is a comprehensive overview of enterprise information management (EIM), and its use in achieving business objectives. The purpose of this course is to take attendees with little to no background in EIM to a functional understanding of business objectives tied to ROI, project management, architecture, critical success factors, risk factors, design, process, and tools.

    This course is presented is a straight-forward, non-technical manner. It assumes that attendees have no prior knowledge of EIM concepts or implementations. This course is founded on the practical experiences of real-world implementations of EIM projects. This seminar provides an understanding of the critical prerequisites for successful, profitable, and extendable EIM implementations.

  • Implementing Enterprise Data Management Through Effective Meta Data Management    link arrow

    Almost every large government agency or Global 2000 company is struggling to properly manage their enterprise’s data and its architecture and management. This difficulty is the direct result of the highly distributed, disjoined and overly expensive IT environments which currently exist throughout our industry. This situation has triggered the reemergence of corporations looking to establish truly proactive Enterprise Data Management organizations.

    This course will look to move enterprise data management theory into a practical set of steps (roadmap) to achieving true value from your enterprise data management initiative. Moreover, it will present the specific meta data inputs and outputs that are required for each of the most common enterprise data management focus areas. In addition, data governance and stewardship approaches and structures will be presented for each of these areas.

  • Enterprise Information Management: Full Life-Cycle Guide   link arrow

    “The Top Rated Course at the 2010 DAMA/Wilshire Enterprise Data World Conference”

    Many organizations today have begun to realize that the data and information they create every day are valuable enterprise assets. Those with accessible and higher quality information will make more informed and more effective business decisions. This is true for all organizations since all enterprises need quality information to guide their decision-making and to provide optimum service to their customers.

    This course will provide a practical roadmap for designing and implementing an enterprise data management initiative. This includes identifying the specific steps that are required for aligning each of the most common enterprise data management focus areas. Workshops will include data governance and stewardship approaches and structures for each of these areas and students will develop a plan for their organization to achieve the goals of EIM implementation.

  • Understanding and Implementing Master Data Management   link arrow

    Master data is a collection of key objects, around which the business processes of an enterprise can be modeled and analyzed. Master data can include structured data elements, such as commonly used entities, attributes, hierarchy definitions, and some unstructured data elements such as business rules. Sharing data and relating it to other data is also a challenge when the organization does not know its master data and the meta data associated with master data, and does not understand the relationship between meta data and information intelligence. This course will provide you with concepts, techniques and approaches to building a master data management program for your organization, and will provide a plan for implementing master data management throughout your enterprise. This ICCP-certified course is a workshop since concepts are assimilated easier when they are practiced. The workshop is built around actual case studies of an organization interested in developing and implementing a master data management program.

  • Information Managment Project Management   link arrow

    Information management (IM) projects present a unique set of management challenges compared to traditional information system projects. Enterprise Information Management (EIM) is the set of business processes, disciplines and practices used to manage the information created from an organization’s data as an enterprise asset. Full organizational commitment to managing information as an enterprise asset requires the establishment of enterprise policies and the development of a support environment shared by the organization. All IM/EIM projects require that the project management techniques are aligned with the EIM concepts chosen for implementation.

    This course uses a project management training approach to allow students to employ their project management skills within an EIM program. Using an actual case study, students will learn how EIM concepts and project management practices can serve as the foundation for a successful EIM implementation.

  • Enterprise Data Architecture   link arrow

    Data, information and information systems are critical assets of any organization. Enterprise data architecture guides the effective use of these assets to achieve strategic goals and objectives. Enterprise data architecture is a set of master blueprints used to align information assets and IT programs with business strategy and to guide the integration, quality improvement and effective delivery of data. Enterprise data architecture is part of the overall and complete enterprise architecture. Enterprise architecture is an essential management tool.

    This course outlines the enterprise data architecture principles and practices and shows students how to develop their skills as an enterprise data architect. Course workshops are designed to demonstrate the concepts and allow students to practice the application of techniques and processes to develop an organization’s data architecture.

  • Fundamentals of Records Management   link arrow

    This course introduces the student to the concepts, tools and techniques needed to manage all forms of records and documents. This course examines the techniques and practices that enable records managers to administer the lifecycle of a record, including concepts of adequate and proper documentation, disposition of records and documents at the end of their effective lives, and resources for support of the records management process. The course explains how managing records and information supports the organization and improves enterprise information management effectiveness.

  • Data Quality Management – Concepts and Implementation   link arrow

    Data and information are critical assets of any organization, and should be considered as valuable a resource as buildings, employees and products. For a company to gain a significant competitive advantage, it must focus on managing the quality of its data. Data quality management is essential to ensuring the viability of data and information.

  • Semantic Data Web – Concepts and Implementation   link arrow

    Although the Semantic Web has sparked considerable attention, there is much confusion around what the Semantic Web represents, what its value is, and how it is achieved. Internet, Enterprise, and Desktop Search is extensively relied upon to find information. However, it is limited to keywords or indexing of the actual text – if a searcher does not know the actual words used in the source document, he or she may not be able to find the information desired, or they may retrieve a mountain of irrelevant information. The Semantic Web (Web 2.0 or 3.0) can enable much more sophisticated information discovery and usage. Advances in information management are working to enable the development of the semantic web. It is important for IT Managers, Enterprise Architects, Data Architects, Data Modelers, DBA’s, Application Developers, and others to understand the Semantic Web and how they can help the enterprise be more effective and efficient by leveraging these technologies. Semantic Web technologies aren’t limited to finding information in web pages – a robust implementation of the semantic web will include databases, meta data repositories, and unstructured data sources. This course will describe what the Semantic Web is and the technologies and standards involved. It will explain all the concepts of this capability and show the benefits: improving integration with ontologies, improving machine actionability, and identify appropriate applications for Semantic Web usage.

    To learn more about how EWSolutions can provide our World-Class Training for your company or to request a quote, please feel free to contact David Marco, our Director of Education at DMarco@EWSolutions.com.