What is advanced analytics?
Advanced analytics is the use of sophisticated data techniques and tools to uncover insights, predict outcomes, and optimise strategic decision-making. IOA’s advanced analytics services help clients move beyond static reports and harness the full power of their data. This service includes:
- Custom analytics solutions: Designing tailored analytics approaches that respond to each client’s unique challenges, datasets, and decision-making needs.
- Data strategy and insight generation: Turning complex, fragmented, or underutilised data into clear, actionable insights.
- Integration of AI and automation: Leveraging artificial intelligence, machine learning, and automation tools to improve the speed, scale, and accuracy of analysis.
Some of the main benefits of advanced analytics are:
Enable data-driven decision-making by transforming raw data into actionable insights
Support strategic planning through predictive and scenario-based forecasting
Identify hidden patterns, opportunities, and risks across customer and operational data
Enhance customer understanding and targeting through advanced segmentation models
Improve performance tracking and oversight with dynamic, real-time dashboards
Key questions that are answered by advanced analytics
Advanced analytics aims to answer several key questions to help guide strategic, operational, and customer-centric decision-making:
- What are the root causes of our performance challenges or inefficiencies?
- How can we segment our customers or users in ways that improve targeting and retention?
- What future trends or behaviours can we predict to better plan ahead?
- What scenarios should we test to guide optimal decisions in uncertain environments?
- How can we track key metrics and sentiment in real time to stay agile and informed?
In On Africa’s advanced analytics services
In On Africa (IOA) provides advanced analytics services that transform complex data into meaningful intelligence – helping clients better understand their operations, customers, and environments, and plan strategically for the future.
While some clients require once‑off analytical projects to inform a specific decision or strategy, others benefit from ongoing analytics that continuously track performance, predict trends, and surface opportunities in real time. The true value of advanced analytics lies in its ability to combine human insight with data science – helping organisations act faster, plan smarter, and stay ahead in an increasingly data‑driven world.
IOA’s advanced analytics framework is built around six complementary service pillars, which can be applied individually or combined depending on client needs:
- Diagnostic & root cause analysis – Understand what happened and why by identifying underlying drivers and patterns in business performance.
- Customer & segmentation analytics – Uncover who your customers are, how they behave, and what differentiates key segments.
- Geospatial & demographic analytics – Analyse where activity occurs and which locations or populations present opportunities or risks.
- Predictive modelling & forecasting – Anticipate what’s likely to happen next using statistical and machine‑learning models.
- Prescriptive & scenario analytics – Simulate possible scenarios to determine the most effective strategies under different conditions.
- Monitoring dashboards & sentiment intelligence – Track key indicators and sentiment in real time through interactive, visual dashboards.
Each engagement is tailored to client context, data availability, and business priorities. Our analysts, data scientists, and sector specialists work collaboratively to ensure each deliverable – from statistical models and forecasts to dashboards and strategy decks- translates analytics into actionable value.
With nearly two decades of research and intelligence experience across all 54 African countries, IOA is uniquely positioned to integrate data analytics with on‑the‑ground insight. Whether analysing customer behaviour in retail banking, forecasting demand in consumer markets, or tracking reputation and sentiment across African industries, IOA’s advanced analytics solutions help organisations convert data into foresight and strategy.
Advanced analytics case study:
Data-driven segmentation using cluster analysis, machine learning and predictive modelling
Client:
Major retail bank
Country:
South Africa
Methodology:
Cluster analysis using R (VarSelCM), segmentation modelling, predictive market sizing, psychographic profiling, CHAID analysis, and correspondence mapping
IOA was commissioned by one of South Africa’s fastest growing retail banks to develop a data-driven consumer segmentation and market-sizing framework to guide strategic growth, product alignment, and customer targeting.
The segmentation analysis was based on a nationally representative sample of South Africans comprising nearly 300 financial behaviour and attitude variables. IOA adopted an unsupervised machine learning approach, using model-based cluster analysis in R via the VarSelCM library. This allowed for automatic selection of the most relevant variables and estimation of the optimal number of clusters. After running multiple models, five distinct consumer segments were identified, based entirely on financial behaviours and psychographic attitudes toward debt, savings, risk, and financial decision-making.
Once segmented, IOA performed cross-tabulations with chi-square estimates and CHAID (Chi-square Automatic Interaction Detection) to identify statistically significant differentiators across the clusters. Further, correspondence analysis was conducted to map associations between segments and key behavioural or attitudinal markers, such as debt perceptions and savings behaviours. This produced intuitive, visual outputs that helped the client interpret the nuances of each cluster beyond traditional demographics.
To complement the segmentation, IOA developed predictive models to estimate the size and geographic distribution of each segment across South Africa.
Key project outcome:
A technically robust segmentation and market-sizing framework, grounded in psychographic and behavioural data, that now guides the client’s customer strategy, product design, and market expansion initiatives.
Find out more about how IOA can help you with advanced analytics.
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Read more about IOA’s various service offerings and examples of our past work.