BusinessOpportunities
Turn an early possibility into a decision. We help clients define the opportunity, understand who values it and test whether the business can capture that value.
Explore opportunities →AI, analytics and management consultancy · UAE, Saudi Arabia and GCC
We help clients navigate change.
Business environments constantly evolve. This creates opportunities, exposes inefficiencies and introduces threats.
The challenge is deciding how best to respond. Marketways combines business understanding with statistical rigour and quantitative thinking to shape practical responses grounded in evidence.
Established in 2005Two decades of consulting and research experience.
Based in DubaiRegional roots with work across the GCC.
Business and statistical depthManagement understanding supported by quantitative rigour.
Contemporary capabilityStatistics, econometrics, machine learning and AI.
Our service streams
We help clients detect…
BusinessEfficiency
Improve performance with care for the whole system. We examine how work, people, assets and decisions interact before recommending a change.
Explore efficiency →BusinessThreats
Recognise threats from a changing environment, weak controls or outdated thinking. We help clients understand exposure and choose a proportionate response.
Explore threats →AI pathwaysMarketways specialises in integrating AI into business strategy and processes, from opportunity assessment and system design to evaluation and responsible deployment.Industry contextMarketways assists clients across government, financial services, healthcare, energy, retail and other industries where sector context shapes the question and the evidence.
Why Marketways
Business understanding, regional experience and statistical depth.
Established in Dubai in 2005, Marketways combines two decades of consulting and research experience with statistics, econometrics, machine learning and AI. We work across the GCC and remain close to the business question throughout the engagement.
Who we are →How we approach the work
Business reality, represented with statistical rigour.
We begin with the organisation as it actually operates, build the evidence into a defensible model and keep the analysis aligned with the decision it must support.
01
Business understandingDefine the decision, understand the operating system and establish what success must mean in practice.
02
Statistical rigourModel relationships, uncertainty, behaviour and constraints using evidence appropriate to the question.
03
AlignmentConnect the analysis to management judgement, practical action and a benefit the client can observe.
Research Methods
Mathematical and statistical rigour.
Explore the methods we use to turn business questions into defensible evidence and practical decisions.
Statistics & Econometrics
Causal Inference & Experimentation
Test whether an action produced the result that followed and what would probably have happened without it.
ExploreStatistics & Econometrics
Bayesian Inference & Decision Models
Update a decision as evidence develops while keeping prior knowledge and uncertainty explicit.
ExploreForecasting, Risk & Optimisation
Forecasting & Time-Series Analysis
Separate trends, cycles, seasonality and shocks to build a forecast that management can interpret.
ExploreProcess, Workflow & Systems
Process Mining
Reconstruct how work actually moves through systems and identify delay, rework and unexpected routes.
ExploreMarket, Customer & Behaviour
Sentiment, Emotion & Response Analysis
Examine language, voice, expression and behaviour to understand how responses change across an experience.
ExploreMachine Learning
Model Evaluation & Validation
Test whether a model remains reliable for its intended decision, population and operating conditions.
ExploreMarket Research & Evidence Collection
Surveys & Questionnaires
Collect structured market evidence with clear measures, appropriate sampling and an analysis plan tied to the business decision.
ExploreStatistics & Econometrics
Regression & Econometric Modelling
Estimate relationships between business outcomes and their drivers while testing alternative explanations.
ExploreForecasting, Risk & Optimisation
Risk & Uncertainty Modelling
Represent exposure, probability and consequence so management can compare possible responses.
ExploreForecasting, Risk & Optimisation
Simulation & Scenario Analysis
Test how a system may behave under different assumptions, shocks and management choices.
ExploreMachine Learning
Anomaly & Novelty Detection
Identify unusual behaviour or emerging patterns that established rules and averages can miss.
ExploreMachine Learning
Natural-Language & Text Analysis
Turn documents, comments and other language evidence into structured signals that can support a decision.
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Case studies
Selected client engagements.
Read case studies showing how business understanding, analytical methods and client decisions come together in practice.
Government & Public Sector
Using LLM & NLP to Benchmark Services to People of Determination
Language and text analysis organised more than 200 sources and 5,000 pages into comparable service, benefit and beneficiary categories.
ExploreGovernment & Public Sector
Analysing the Impact of Fast-Food Advertising on Children’s Consumption
Regression analysis connected measured advertising exposure with family surveys and consumption behaviour.
ExploreBanking & Financial Services
Real-Time AML Risk Intelligence Using Bayesian Networks
Bayesian networks helped update risk as new transaction evidence arrived while keeping uncertainty visible.
ExploreTransport & Logistics
Fleet Optimisation for a Large Logistics Organisation
Fleet, route and driver evidence supported decisions about utilisation, operating performance and service reliability.
ExploreRetail & Luxury
Brand Perception Mapping for a Luxury Watch Brand
Customer research mapped how the brand was perceived across attributes, audiences and competing choices.
ExploreService Operations
Service Delivery Transformation for a Nationwide Service Provider
Mystery-shopping and service evidence identified where the customer promise was breaking during delivery.
ExploreBanking & Financial Services
Predictive Modelling for Customer Loyalty & Churn Management
Customer behaviour and relationship evidence supported earlier identification of loyalty and churn patterns.
ExploreBanking & Financial Services
Foreign Exchange Branch Demand Analytics for a Regional Money-Services Provider
Branch, location and demand evidence helped management understand where service capacity and customer need were diverging.
ExploreHealthcare & Life Sciences
Demand Forecasting for a Medical Laboratory in the GCC
Market, population and service evidence informed the demand outlook and operating requirements for a medical laboratory.
ExploreRetail & Consumer
Customer Analytics for Market Entry of a Ready Meal Food Brand
Customer research and market evidence clarified audience demand, offer design and the route into a new market.
ExploreRetail & Consumer
Customer Segmentation Across Online & In-Store Channels
Behaviour across digital and physical channels revealed customer groups with different needs and response patterns.
ExploreManufacturing & Sustainability
Feasibility Study for Sustainable Building Material Manufacturing
Demand, capacity, cost and investment evidence were brought together to test the viability of local manufacturing.
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Latest thinking
Ideas worth examining more closely.
Articles, guides and worked examples connect current questions with the methods and services used to address them.
Article
What Is Quantitative Risk Management?
How probability, exposure and changing evidence produce a richer view of risk.
ExploreArticle
When Risk Management Becomes the Risk
Why red, amber and green matrices can hide the risks that matter most.
ExploreArticle
Customer Journey Mapping for Digital Account Opening
A worked application of journey evidence, process data and behavioural analysis.
ExploreArticle
A Customer Journey Map Should Be a Behavioural Model, Not Just a Diagram
How to measure routes, touchpoints and outcomes instead of drawing an assumed journey.
ExploreArticle
How to Create a Realistic Customer Journey Map
A practical guide to combining customer research with evidence of actual behaviour.
ExploreWorked Example
Quantifying the Impact of Regional Conflict on Dubai’s Real Estate Market
A viewable white paper on measuring how regional conflict affects a connected market.
ExploreArticle
Is JEV faster than a language model asked to return probabilities for fixed options?
What a valid speed comparison would need to hold constant before drawing a conclusion.
ExploreArticle
Jev: what businesses need to understand
A practical explanation of Jev, the decisions it may support and the evidence still needed.
ExploreGuide
The Ultimate Guide to Agentic AI: Everything You Need to Succeed with Autonomous Workflows
A guide to designing autonomous workflows around business decisions, controls and accountable action.
ExploreGuide
The BFSI Blueprint: Why Agentic AI Workflow Design is the Next Power Move
How financial institutions can connect AI agents to controlled, decision-led workflows.
ExploreArticle
Who Is Actually Responsible When Your Agentic AI Makes a Mistake?
Why accountability remains with the organisation when an autonomous system acts.
ExploreGuide
Business Process Reengineering in the Age of Agentic AI
How process redesign prepares work for useful and controlled agentic automation.
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Bring us the decision that matters.
We can help clarify the question, examine the evidence and shape an engagement around the action you need to take.