Enterprise Information Management
from Strategy to Implementation

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by Mike Ferguson download a PDF brochure Download Event Brochure


This new three-day in-depth seminar is intended for data architects, chief data officers, master data management professionals, content management professionals, database administrators, big data professionals, data integration developers, and compliance managers who are responsible for Enterprise Information Management (EIM).

The seminar takes a detailed look at the business problems caused by poorly managed information including inconsistent identifiers, data names and policies, poor data quality, poor information protection, and piecemeal project oriented approaches to data integration. It looks at reference data, master data, transaction data, metrics, Big Data and unstructured content (e.g. documents, email etc.). It looks at the requirements that need to be met for a company to confidently be able to define, govern, manage and share trusted high quality information across operational and analytic applications and processes. It addition it addresses the issues of managing data in a hybrid Cloud Computing and on-premise environment.

Having understood the requirements, you will learn what should be in an EIM strategy and what you need in terms of people, processes, methodologies, and technologies to bring your data under control. In addition we will look at how to introduce governance into different Information Management disciplines including:

  • Data naming
  • Enterprise metadata management
  • Data modelling
  • Data relationship discovery
  • Data profiling
  • Data cleaning
  • Data integration (including data virtualisation)
  • Data provisioning
  • Enterprise content management

Finally you will learn how to implement EIM to get your data under control, improve its quality, its integrity and provision commonly understood, trusted information to wherever it is needed in the enterprise including master and reference data management systems, Big Data platforms, Data Warehouses, transaction processing systems, and Cloud based applications.

Main Topics

  • An Introduction to Enterprise Information Management
  • Types of data in the enterprise and types of systems
  • Defining a strategy for Enterprise Information Management
  • Defining policies, processes and disciplines for EIM
  • A methodology for EIM implementation
  • EIM implementation Methodology – from data definition to data provisioning
  • EIM implementation – Implementing a Master and reference data management system
  • Transitioning to Enterprise MDM – The Change Management Process
  • EIM implementation – Managin, governing and provisioning Big Data and Data Warehouse
  • EIM implementation – Information audit and protection