World-Class Enterprise Information Management Training

• Understanding and Implementing Master Data Management   
  

  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 EWSolutions-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.
• Implementing Enterprise Data Management Through Effective Meta Data Management    
  

  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.
• Creating and Implementing an Enterprise Information Management Program   
  

  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.
• Fundamentals of Enterprise Information Management (EIM)   
  

  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.
• Data Modeling Workshop   
  

  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.
• Conceptual Data Modeling – Resisting the Urge to go Physical   
  

  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   
  

  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.
• Introduction to Enterprise Data Governance – Data Stewardship Training    
  

  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.
• Enterprise Data Stewardship & Governance: Full Lifecycle Roadmap   
  

  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 21^st 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.
  
  

  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 Dr. Anne Marie Smith, our Director of Education at AMSmith@EWSolutions.com or call her at 856.468.6194
• Data Modeling for Managers and Executives   
  

  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.