NEVADA | PROFESSIONAL EXPERIENCE

Program Professional Framework

Professional Business Analytics & Data Analysis – Strategy and Decision Making

Program Overview

Strategic choices about investment, pricing, capacity and service design are increasingly expected to rest on evidence rather than intuition. This programme connects analytics to strategy: descriptive, diagnostic, predictive and prescriptive analytics, framing decision problems, forecasting and scenario modelling, optimisation and decision trees, risk and uncertainty analysis, and building an analytics-driven culture. Participants apply these methods to strategic cases relevant to Gulf organisations pursuing diversification and transformation programmes.

Learning Outcomes

✓Classify business questions into descriptive, diagnostic, predictive and prescriptive analytics needs.
✓Structure a strategic decision with options, criteria, uncertainties and required data.
✓Build a scenario model that tests strategic options against alternative market assumptions.
✓Apply decision trees and expected value analysis to a decision under uncertainty.
✓Use linear optimisation to allocate limited resources across competing initiatives.
✓Recommend an analytics operating model and priorities for an organisation.

Target Audience

Strategy and planning managers
Senior business and data analysts
Finance and investment analysts
Transformation office and PMO leaders

Detailed Program Modules

01Analytics and Strategy

The four types of analytics
Analytics in the strategic planning cycle
Analytics maturity assessment

02Framing Decision Problems

Decision statements and options
Criteria, constraints and stakeholders
Identifying critical data

03Forecasting and Scenarios

Demand and trend forecasting
Scenario planning with quantitative models
Sensitivity and break-even analysis

04Decision Analysis Under Uncertainty

Decision trees and expected value
Monte Carlo simulation basics
Risk-adjusted comparison of options

05Prescriptive Analytics

Linear programming and resource allocation
Portfolio prioritisation
Interpreting optimisation results

06Building an Analytics-Driven Organisation

Analytics operating models
Data literacy and decision culture
Measuring the value of analytics

Training Methodology

Interactive expert-led sessions grounded in workplace examples

Case studies and practical exercises drawn from the region

Group workshops with peer review of decisions and deliverables

Formative feedback against clear performance criteria

Applied Project & Assessment

Applied Project

Participants analyse a strategic decision for a Gulf organisation, such as expanding a service channel or selecting investment projects, using scenario modelling, a decision tree and an optimisation model, and present a recommendation to a mock executive committee.

Assessment

Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.

University Certificate & International Accreditation

Professional Certificate accredited by Twintech International University College of Technology in Professional Business Analytics & Data Analysis – Strategy and Decision Making

International accreditation: American Association of Innovation (AAI)