Course Code: EIMDS

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Enterprise Information Management for Data Stewards



Overview

In the last 5 years, after stock markets collapsed around the world, Corporate Governance has become centre stage. A vital aspect of Corporate Governance is information governance. It is, and always has been crucial for us to have reliable and appropriate information to make good transparent business decisions and take action.

To address these governance requirements, organisations have established new employment portfolios and structures like the Chief Data Officer (CDO) and Information Governance Council, to plan and control the information governance people, processes and technologies.

However, it has become clear that IT cannot address this requirement on its own and neither can one centralized governance structure! This is why organisations need Information Stewardship!

The Data Steward is a position of responsibility, located within various divisions of the business organisation and is key to ensure the value of information assets and to achieve the required level of trust, on which business leaders can base their decisions and actions.

Corporate compliance is not going to get any easier! Compliance cannot be automated; we need to govern our information to achieve proactive compliance. To do this we require high-levels of information stewardship to look after the invisible data and data management processes and the enterprise information assets will be trusted.

A good start in the journey of achieving trusted information is the training of the people involved. This course provides a perfect platform for obtaining the necessary foundational data steward skills and if required, for the DAMA CDMP Associate Certification.

Purpose

The purpose of this course is to enable the Data Steward to play an active and leading role in the management of information within his or her area of stewardship.

We will ensure that the Data Steward can communicate the business information requirements or the impact of information defects to the other Data Management roles in the organisation. Once the information needs have been communicated, the Data Steward plays an advisory role in activities that are required to deliver and operationalise the information requirements.

We set out to ensure that the Data Steward understands his or her involvement in all the data management principles and how to conduct the appropriate activities to achieve the targeted level of information governance maturity.

Outcomes

The most important outcome of this course is to provide Data Stewards with practical knowledge and understanding, so that they are able to be actively part of the organisation’s enterprise information management. Data Stewards need the capability of applying this knowledge to the data assets for which they are responsible.

Delegates will benefit from a multi-faceted approach to achieve the required outcome level. There will be assessments based on:
  • Practical Work
  • Daily Test Exams
  • And if requested, the internationally recognised DAMA CDMP Associate Certification

On course completion, delegates will have capability in:

  • Data life-cycle management

    • Explain the life-cycle definition of all the governed data assets
  • Data Governance

    • Create accepted Business Terminology within the Business Glossary
    • Create Data Sharing agreements to govern information asset usage
    • Create Business & Risk classifications for business data
    • Assign data ownership and stewardship
    • Analyse, Create and Manage Information Needs and Issues Requests
    • Evaluate the information needs and its compliance with policies and regulations
  • Data Architecture

    • Communicate Information needs to data architects in a meaningful away to ensure that the appropriate architecture models can be developed
    • Explain, review and approve the related architectural models
    • Align resultant architectural models with other business models
  • Meta-data

    • Analyse the meta-data that is a result of the information need
    • Data flow and lineage of the data assets
    • From creation to disposal
    • Data definitions and transformation of the data assets
      • Explain the value of operational meta-data in monitoring the use of your business data 
    • Reference and Master Data

      • Communicate the information needs with respect to reference and master data
      • Create reference data as part of the business terminology definition where there is no 3rd Party reference data available
      • Create Master Data Business Keys that will be used to performed Master Data matching
      • Evaluate the data coming from different data sources to establish an authoritative source for each data element defined with the Master Data domain
    • Data Development

      • Communicate the information needs with respect to data development
      • Explain, review and approve the resultant physical data models that will store the information assets
    • Data Operations

      • Communicate the information needs with respect to data operations
      • Create the business continuity requirements for the data assets
      • Review and approve the resultant operational model for the data and data products
    • Data Security

      • Communicate the information needs with respect to data security
      • Audit access and usage of data assets
      • Review and approve the data security model for the data assets
    • Data Warehousing and Business Intelligence

      • Communicate the information needs with respect to data warehousing and business intelligence
      • Review and approve the related DW & BI models
      • Review the information that is derived and reported on to ensure that the intelligence can be trusted
      • Be able to “Watermark” (Certify) the information produced
    • Document and Content

      • Communicate the information needs with respect to document and content management
      • Review and approve the Document and Content models
      • Audit the Index, Search and Retrieval of records that are related to the information need
    • Data Quality

      • Create and Communicate the data quality information needs
      • Review and approve the resultant data quality models that were developed to address the information needs
      • Analyse and Monitor data quality assessments of the information
      • Perform a root cause analysis of data quality defects that exceed the defined data quality expectations
      • Appraise the impact of data quality issues found in the information
    Course Content

    The course is based on ensuring knowledge and understanding of all the DAMA knowledge areas set out in the DMBoK and is structured to work through all the data management activities that the Data Steward will be required to perform in order to successfully operate as a Data steward achieve the outcomes listed here We will take a detailed look at the various activities involved in defining and managing new information requirements and ensure active capability with performance in these areas:

    • Data life-cycle management
    • Data Governance
    • Data Architecture
    • Data Quality
    • Reference and Master Data
    • Data Development
    • Data Operations
    • Data Security
    • Data Warehousing and Business Intelligence
    • Document and Content Management
    • Meta-data
    Delivery Method

    Instructor-led

    Course duration is 4 days exclusive of the certification exam. The internationally recognised certification, will include exam prep training and exam in 1 day.


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