Utilizing Business Intelligence in Problem-Solving and Decision-Making

$5500.00

Utilizing Business Intelligence in Problem-Solving & Decision-Making

5-Day Professional Training Course | BIPM5001

KSA · GCC · Africa


Course Overview

This intensive 5-day training programme on Business Intelligence in Problem-Solving and Decision-Making equips professionals with the analytical frameworks, data visualisation tools, and evidence-based decision methodologies needed to transform raw data into actionable organisational insight. As Saudi Arabia accelerates its Vision 2030 digital transformation agenda, GCC governments invest heavily in smart city and data infrastructure, and African economies embrace data-driven governance and business growth, the ability to harness Business Intelligence (BI) has become a defining executive competency. This course bridges the gap between data availability and decision quality — enabling participants to lead smarter, faster, and with greater confidence across complex regional environments.

Keywords: Business Intelligence Training Saudi Arabia | Data-Driven Decision Making Course GCC | BI and Analytics Africa | Problem-Solving with Data Riyadh · Dubai · Nairobi · Cairo


Course Information

Course Code

BIPM5001

Duration

5 Days (40 Contact Hours)

Delivery Mode

Classroom · Virtual · In-House

Language

English (Arabic support available)

Markets

KSA, UAE, Qatar, Kuwait, Bahrain, Oman, Egypt, Nigeria, Kenya, Ghana

CPD Credits

40 Hours

Certification

Certificate of Completion · IIBA & DAMA-aligned


Target Audience

This course is designed for professionals who use data and information to solve problems, support decisions, or drive organisational performance:

  • Business analysts and strategy officers

  • Data analysts and reporting specialists transitioning to BI roles

  • Operations and performance management professionals

  • Senior managers and department heads making evidence-based decisions

  • IT and digital transformation leaders implementing BI platforms

  • Government and public sector planning officers in KSA and GCC

  • Finance, commercial, and supply chain professionals across Africa

  • Consultants and advisors supporting data-driven organisational change


Learning Outcomes

Upon successful completion, participants will be able to:

  • Apply structured problem-solving frameworks to complex organisational challenges using BI tools

  • Design and interpret dashboards, scorecards, and data visualisations for decision support

  • Use analytical techniques including root cause analysis, trend analysis, and predictive modelling

  • Evaluate and select appropriate BI platforms and tools for their organisational context

  • Build a data-informed decision-making culture within their teams and organisations

  • Apply BI methodologies within the regulatory, digital, and market contexts of KSA, GCC, and Africa


Learning Methods

Method

Description

Instructor-Led Sessions

Expert facilitation covering BI concepts, analytical frameworks, and regional digital strategy

Tool Demonstrations

Live walkthroughs of Power BI, Tableau, and Excel-based analytical dashboards

Data Workshops

Hands-on exercises using real and simulated datasets from regional industries

Problem-Solving Simulations

Structured case challenges requiring participants to diagnose problems and recommend data-driven solutions

Dashboard Design Lab

Participants build a functional BI dashboard relevant to their own sector

Capstone Presentation

Teams present a complete BI-powered problem analysis and decision recommendation on Day 5


5-Day Programme Outline

Day 1 — Foundations of Business Intelligence & the Data-Driven Organisation

  1. What is Business Intelligence? Scope, evolution, and strategic value in modern organisations

  2. The BI ecosystem: data sources, data warehouses, ETL processes, and reporting layers

  3. From data to decisions: the intelligence pyramid — data, information, knowledge, wisdom

  4. Building a data-driven culture: leadership, governance, and change management

  5. BI in the regional context: Saudi Arabia's National Data Management Office (NDMO), UAE Data Economy Strategy, and Africa's data governance landscape

  6. Overview of leading BI platforms: Power BI, Tableau, Qlik, and open-source alternatives


Day 2 — Structured Problem-Solving with Data

  1. Problem definition and framing: the importance of asking the right question

  2. Structured problem-solving frameworks: Design Thinking, DMAIC (Six Sigma), and the McKinsey Problem-Solving approach

  3. Root cause analysis tools: Fishbone (Ishikawa) diagrams, 5 Whys, and Pareto analysis

  4. Hypothesis-driven analysis: structuring investigations for speed and clarity

  5. Data collection strategies: primary vs. secondary data, surveys, operational systems, and open data sources in GCC and Africa

  6. Workshop: Participants apply a structured problem-solving framework to a real organisational challenge


Day 3 — Data Analysis, Visualisation & Dashboard Design

  1. Exploratory data analysis (EDA): descriptive statistics, distributions, and outlier detection

  2. Data visualisation principles: choosing the right chart, avoiding misleading graphics, and storytelling with data

  3. KPI design and scorecard development: selecting metrics that drive behaviour and performance

  4. Building dashboards in Power BI: connecting data, designing layouts, and creating interactive filters

  5. Advanced visualisation techniques: heat maps, funnel charts, geographic mapping, and trend lines

  6. Lab session: Participants design and publish a sector-relevant BI dashboard


Day 4 — Predictive Analytics & Advanced Decision Support

  1. Introduction to predictive analytics: moving from descriptive to forward-looking insight

  2. Forecasting techniques: moving averages, regression analysis, and time-series modelling

  3. Scenario analysis and sensitivity modelling for strategic decision-making

  4. Introduction to machine learning concepts for business users: classification, clustering, and anomaly detection

  5. AI-powered BI tools: Microsoft Copilot, Tableau AI, and regional AI initiatives in KSA and UAE

  6. Workshop: Participants build a simple forecasting model and interpret outputs for a decision brief


Day 5 — Decision-Making Frameworks, Governance & BI Strategy

  1. Decision-making under uncertainty: cognitive biases, heuristics, and how BI mitigates them

  2. Evidence-based decision-making frameworks: decision trees, multi-criteria analysis, and weighted scoring

  3. BI governance: data quality, data literacy, access controls, and ethical use of data

  4. Measuring the ROI of BI investment: linking analytics to business outcomes

  5. Building a BI roadmap: assessing maturity, prioritising use cases, and securing stakeholder buy-in

  6. Capstone: Teams present a BI-powered problem analysis with data-driven recommendations for peer and facilitator review


Regional Relevance

This programme is directly contextualised for professionals operating across KSA, GCC, and African markets. Content integrates Saudi Arabia's National Data Management Office (NDMO) framework and Vision 2030 digital economy priorities, the UAE's AI and data strategy, Qatar's Smart Government initiative, and the African Union's Digital Transformation Strategy — alongside sector-specific BI applications in oil & gas, government, financial services, healthcare, and retail that define analytical demand across these regions.


Assessment & Certification

Assessment Method

BI dashboard design submission + capstone problem-solving presentation

Pass Requirement

80% attendance + satisfactory completion of dashboard and capstone deliverables

Certificate Issued

Certificate of Completion in Utilizing Business Intelligence in Problem-Solving & Decision-Making

CPD Recognition

40 CPD Hours — accepted by IIBA, DAMA International, PMI, and regional professional bodies


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