Klarheit
Data Management & Analytics

Data Visualisation and Storytelling with Data

Data Visualisation and Storytelling with Data gives participants the practical skills and confidence to perform at a higher level in data management & analytics.

5 daysClassroomOnlineIn House
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Overview

Delivered by practitioners with direct experience in data management & analytics, Data Visualisation and Storytelling with Data focuses on practical capability rather than theory alone. Delegates work through realistic scenarios that mirror the decisions and pressures they face in their own roles.

The result is a cohort of professionals equipped to lead, influence and deliver stronger outcomes in data management & analytics across their organisations.

Course objectives

  • Formulate metrics and KPIs to track progress in data management & analytics.
  • Lead initiatives that strengthen data management & analytics across a team or organisation.
  • Strengthen stakeholder engagement and communication around data management & analytics.
  • Develop the tools and templates needed to support data management & analytics in practice.
  • Assess risk and compliance considerations relevant to data management & analytics.
  • Evaluate current approaches to data management & analytics and identify areas for improvement.
  • Build a personal action plan for applying Data Visualisation and Storytelling with Data back at work.

Who should attend

  • Graduates and early career professionals entering data management & analytics
  • Cross functional team members collaborating on data management & analytics projects
  • Professionals transitioning into data management & analytics focused roles
  • HR and learning and development professionals supporting data management & analytics initiatives
  • Consultants and advisors specialising in data management & analytics
  • Senior executives shaping organisational strategy around data management & analytics

Course outline

Module 1: Foundations of Data Management & Analytics

  • Consider the ethical dimensions of decisions made in data management & analytics
  • Draft key performance indicators to monitor progress
  • Assess the resourcing and budget implications of proposed changes

Module 2: Risk, Governance and Compliance

  • Explore the regulatory and compliance landscape relevant to data management & analytics
  • Discuss current trends and the future direction of data management & analytics
  • Evaluate the strengths and weaknesses of common data management & analytics models
  • Practice giving and receiving structured peer feedback
  • Review recent research and thought leadership shaping data management & analytics

Module 3: Core Principles and Frameworks in Data Management & Analytics

  • Interpret data and metrics used to track data management & analytics performance
  • Unpack a short reading and relate it back to daily practice
  • Review a checklist of quick wins to apply immediately after the course
  • Review key concepts and terminology used in data management & analytics

Module 4: Tools and Techniques for Data Management & Analytics

  • Translate strategic goals into a practical implementation timeline
  • Identify common pitfalls and how to avoid them
  • Break into syndicate groups to work through a realistic case study
  • Review sample templates and adapt them for your own organisation
  • Build a personal action plan for immediate use

Module 5: Action Planning and Implementation

  • Role play a difficult conversation relevant to data management & analytics
  • Identify early warning signs of common project or process failures
  • Diagnose a workplace scenario and propose a course of action
  • Set measurable goals and success criteria for the weeks ahead

Training methodology

  • Includes hands on exercises, group work and peer to peer learning.
  • Delivered through a blend of expert facilitation, structured input and interactive discussion.
  • Reinforced with real world case studies drawn from relevant industries and regions.
  • Uses practical templates, checklists and tools that delegates can apply immediately.

Accreditation

Delegates who complete Data Visualisation and Storytelling with Data 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.

JohannesburgNext
11 Nov 2026 to 15 Nov 2026
USD 3,691Register
Victoria Falls
12 Feb 2027 to 16 Feb 2027
USD 3,232Register
Harare
11 Apr 2027 to 15 Apr 2027
USD 3,791Register
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Course

Data Visualisation and Storytelling with Data

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