Klarheit
Data Management & Analytics

Data Governance and Master Data Management

Data Governance and Master Data Management combines proven frameworks with hands on practice to strengthen capability in data management & analytics.

3 daysClassroomOnline
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Overview

Data Governance and Master Data Management responds to a clear need across digital transformation & innovation, for professionals who can apply sound data management & analytics practice under real world conditions. The programme is structured to build capability step by step, from foundational concepts through to applied practice.

By the end of the programme, participants will have the confidence and practical grounding to take on greater responsibility for data management & analytics within their organisation.

Course objectives

  • Analyse case studies to draw out lessons relevant to data management & analytics.
  • Design practical plans that put data management & analytics frameworks into action.
  • Strengthen stakeholder engagement and communication around data management & analytics.
  • Evaluate current approaches to data management & analytics and identify areas for improvement.
  • Coordinate cross functional efforts that depend on strong data management & analytics.
  • Assess risk and compliance considerations relevant to data management & analytics.

Who should attend

  • Senior executives shaping organisational strategy around data management & analytics
  • Officers and coordinators working directly in data management & analytics
  • Managers and team leaders responsible for data management & analytics
  • Consultants and advisors specialising in data management & analytics
  • Department heads overseeing data management & analytics functions
  • Graduates and early career professionals entering data management & analytics

Course outline

Module 1: Foundations of Data Management & Analytics

  • Assess the resourcing and budget implications of proposed changes
  • Capture lessons learned and share them with the wider group
  • Compare approaches used across different organisations

Module 2: Risk, Governance and Compliance

  • Close with a personal commitment to three specific actions
  • Identify early warning signs of common project or process failures
  • Examine real world case studies and lessons learned

Module 3: Planning and Implementation

  • Practice giving and receiving structured peer feedback
  • Break into syndicate groups to work through a realistic case study
  • Diagnose a workplace scenario and propose a course of action
  • Receive facilitator feedback on individual and group work
  • Walk through a step by step implementation checklist

Module 4: Tools and Techniques for Data Management & Analytics

  • Role play a difficult conversation relevant to data management & analytics
  • Discuss how data management & analytics varies across different sectors and regions
  • Consider the ethical dimensions of decisions made in data management & analytics
  • Benchmark current practice against recognised industry standards

Module 5: Technology and Innovation in Data Management & Analytics

  • Work through practical exercises and small group discussion
  • Prioritise competing demands using a simple decision framework
  • Identify common pitfalls and how to avoid them
  • Build a personal action plan for immediate use

Module 6: Core Principles and Frameworks in Data Management & Analytics

  • Review sample templates and adapt them for your own organisation
  • Map stakeholder needs and expectations for data management & analytics initiatives
  • Review key concepts and terminology used in data management & analytics
  • Apply frameworks to a live workplace scenario
  • Discuss current trends and the future direction of data management & analytics

Module 7: Action Planning and Implementation

  • Analyse a real organisational setback and extract the lessons learned
  • Interpret data and metrics used to track data management & analytics performance
  • Unpack a short reading and relate it back to daily practice
  • Explore the regulatory and compliance landscape relevant to data management & analytics

Training methodology

  • Encourages active participation through scenario based problem solving.
  • Delivered through a blend of expert facilitation, structured input and interactive discussion.
  • Facilitated by practitioners with direct industry experience in the subject area.
  • Uses practical templates, checklists and tools that delegates can apply immediately.

Accreditation

Delegates who complete Data Governance and Master Data Management receive a Klarheit Certificate of Completion, recognising the hours of training undertaken and the topics covered. Certificates are issued at the close of the programme and can be used to support continuing professional development records.

Schedule

Upcoming sessions

Choose the city, date and delivery mode that works best for you or your team.

Live OnlineNext
9 May 2027 to 11 May 2027
USD 1,740Register
Johannesburg
22 May 2027 to 24 May 2027
USD 2,543Register
Victoria Falls
25 Jul 2027 to 27 Jul 2027
USD 2,451Register
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Course

Data Governance and Master Data Management

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