Empower your data landscape with our expertise in data analysis and effective solutions. We bridge the gap between technology and business goals, ensuring seamless integration, data governance, and efficient data handling.

Our Data Engineering team is dedicated to enhancing data solutions, including databases, data warehouses, and pipelines, to maximise raw data’s utility. We design BI Architectures, craft robust data solution architectures, aid in seamless data migration, integrate disparate sources into unified data marts, and ensure technical implementation aligns with governance and regulations.

Our specialised consultants excel in Azure Data solutions, expediting project timelines with frameworks and accelerators. They design modern Azure Data Warehouses, create solution development frameworks, ensure seamless data migration, integrate data from multiple sources into unified data marts, and implement solutions aligning with governance and regulations.

Our primary focus is on leveraging data to produce automated actionable insights, improve decision-making, and provide predictive solutions to drive both revenue and business efficiency. Within Analytics Solutions, our team engages in key activities such as designing and developing analytics-specific Data Marts (ABTs) for comprehensive analytics, conducting exploratory data analysis to identify business trends and opportunities, designing and developing predictive and propensity models to support cross-selling and up-selling initiatives, and creating analytical models to build actionable insights from AI and ML for informed decision-making.

For us, the focus lies in designing, building, and deploying quantitative models that measure all forms of risk and encompass general Quantitative Modelling using advanced analytics and machine learning. Our expertise covers Credit Risk across retail and corporate credit, the comprehensive management of Market Risk, insights into Regulatory Risk through quantitative impact analyses, Operational Risk management, and assessment of Climate Risk. Our team excels in Probabilistic and Stochastic models, Regression models, Logistic Regression, and Monte Carlo Simulations.

Efficiently gather, cleanse, and deduplicate your customer data as it flows seamlessly into your business from various transactions, devices, and channels, all while respecting consumers' privacy rights and POPI regulations. Using advanced techniques like deep learning, forecasting, data and text mining, and visual exploration, we uncover valuable insights, including product recommendations, customer journey analysis, attribution insights, predictive analytics, and customer sentiment analysis. These insights are seamlessly deployed into your customer engagement channels for real-time personalisation, enhancing the customer experience, and improving operational performance.

In the realm of designing and developing solutions, we tailor our approach to meet your distinctive business requirements. Our expertise extends to the customisation and enhancement of Microsoft Dynamics 365 implementations. We ensure that your systems are not just tailored but finely tuned to the specific nuances of your business, guaranteeing optimal performance and functionality.