Klarheit
Data Management & Analytics

Data Analytics for Business Decision Making

A focused, practitioner led programme that builds real capability in data management & analytics through Data Analytics for Business Decision Making.

5 daysClassroomOnlineIn House
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Overview

Data Analytics for Business Decision Making has been developed to give participants a clear, structured grounding in data management & analytics. Drawing on established frameworks and current industry practice, the programme helps delegates make sense of complex material and apply it with confidence.

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

  • Design practical plans that put data management & analytics frameworks into action.
  • Coordinate cross functional efforts that depend on strong data management & analytics.
  • Formulate metrics and KPIs to track progress in data management & analytics.
  • Develop the tools and templates needed to support data management & analytics in practice.
  • Review emerging trends shaping the future of data management & analytics.
  • Lead initiatives that strengthen data management & analytics across a team or organisation.
  • Apply core data management & analytics principles and best practice to real workplace challenges.
  • 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
  • Professionals transitioning into data management & analytics focused roles
  • HR and learning and development professionals supporting data management & analytics initiatives
  • Graduates and early career professionals entering data management & analytics

Course outline

Module 1: Foundations of Data Management & Analytics

  • Map out a communication plan for engaging key stakeholders
  • Interpret data and metrics used to track data management & analytics performance
  • Capture lessons learned and share them with the wider group
  • Review sample templates and adapt them for your own organisation
  • Work through a short simulation exercise in pairs

Module 2: Technology and Innovation in Data Management & Analytics

  • Receive facilitator feedback on individual and group work
  • Discuss current trends and the future direction of data management & analytics
  • Analyse a real organisational setback and extract the lessons learned
  • Test assumptions through a structured risk assessment exercise
  • Benchmark current practice against recognised industry standards

Module 3: Data, Metrics and Performance Measurement

  • Break into syndicate groups to work through a realistic case study
  • Consider the ethical dimensions of decisions made in data management & analytics
  • Work through practical exercises and small group discussion
  • Map stakeholder needs and expectations for data management & analytics initiatives
  • Consider how technology is reshaping data management & analytics in practice

Module 4: Stakeholder Engagement and Communication

  • Set measurable goals and success criteria for the weeks ahead
  • Unpack a short reading and relate it back to daily practice
  • Review a checklist of quick wins to apply immediately after the course
  • Role play a difficult conversation relevant to data management & analytics

Module 5: Risk, Governance and Compliance

  • Identify early warning signs of common project or process failures
  • Examine real world case studies and lessons learned
  • Prioritise competing demands using a simple decision framework

Module 6: Action Planning and Implementation

  • Compare approaches used across different organisations
  • Translate strategic goals into a practical implementation timeline
  • Explore the regulatory and compliance landscape relevant to data management & analytics

Training methodology

  • Concludes with individual action planning to embed learning back at work.
  • Includes hands on exercises, group work and peer to peer learning.
  • Encourages active participation through scenario based problem solving.
  • Delivered through a blend of expert facilitation, structured input and interactive discussion.

Accreditation

Delegates who complete Data Analytics for Business Decision Making 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.

Victoria FallsNext
10 Nov 2026 to 14 Nov 2026
USD 3,330Register
Live Online
18 Mar 2027 to 22 Mar 2027
USD 3,150Register
Harare
19 Apr 2027 to 23 Apr 2027
USD 3,187Register
Johannesburg
25 Jul 2027 to 29 Jul 2027
USD 3,260Register
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Course

Data Analytics for Business Decision Making

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