OPT Linkage

Why did you choose this data analytics technique? And how confident are you that it can support data-driven business decisions?

These are two fundamental questions every data analytics learner and practitioner should ask before applying any analytics technique.

As an active contributor to the Data Analytics community in Myanmar, I had the opportunity to share a 2-hour Applied Data Analytics Workshop on Objective–Problem–Technique (OPT) Linkage on 11 October 2026.

The workshop focused on bridging the gap between data analytics techniques and real business needs. The workshop covered how to:

• Identify business objectives and related problems.

• Select suitable analytics techniques to address those problems.

• Prioritize problems based on potential business impact.

• Use a ready-to-use Excel template to develop a Data Analytics Problem Register for practical application.

My key message: Don't start with the data and technique. Start with the business objective, identify the problem, and then choose the appropriate data analytics technique.

OPT Linkage helps learners and practitioners connect business needs, problem identification, and analytics techniques in a structured and practical way—laying the foundation for more purposeful, business-focused analytics projects.