DMSA offers five specialist data analytics services: the Data Analytics Readiness Programme (a six-phase programme to build your organisation's analytics capability), HR Analytics (workforce data analysis covering retention, performance, diversity and planning), Customer Analytics (including sales forecasting, basket analysis, risk modelling and forensic investigation), Data Analytics Training (from foundational numeracy through to advanced data science in R), and the DMSA Data Science Consortium (a strategic alliance of specialist analytics organisations). All services can be delivered as standalone projects or as part of an integrated analytics programme tailored to your organisation's needs.

DMSA can analyse virtually any structured data — including customer transaction data, HR and payroll data, sales and marketing data, financial data, survey data, operational data and proprietary business databases. Our Data Scientists and Statisticians have experience working with data from a wide range of industries including financial services, retail, manufacturing, healthcare, government and professional services. We are comfortable working with data in most common formats — spreadsheets, SQL databases, CRM exports, HRIS outputs and more. If you are unsure whether your data is suitable for analysis, contact us for an initial assessment.

Quality and accuracy are fundamental to everything DMSA does. Every analytics project begins with a rigorous data integrity assessment — identifying errors, inconsistencies and missing values before any analysis begins. We apply appropriate statistical techniques for each analytical question rather than using one-size-fits-all approaches, and all models are validated before being presented to clients. DMSA's team includes qualified Statisticians with advanced degrees who peer-review analytical work — ensuring that findings are both statistically sound and practically meaningful. Our Wits University affiliation further reinforces the academic rigour that underpins our approach.

Project timelines vary significantly depending on the complexity of the analysis, the size of the dataset and the quality of the data available. A focused customer analytics project — such as a sales forecasting model or basket analysis — typically takes four to eight weeks from initial briefing to final delivery. A more comprehensive engagement covering multiple analytical workstreams may run for three to six months. DMSA will provide a clear project plan and timeline at the start of every engagement, with regular progress updates throughout. We are also experienced at working to tight deadlines where business needs require a faster turnaround.

DMSA delivers analytics findings through a combination of interactive dashboards, written reports and executive presentations — tailored to the audience and the nature of the analysis. Technical findings are documented in full for your analytics team, while executive summaries translate key insights into plain business language for your leadership team. Where ongoing monitoring is required, DMSA can build dashboards that update as new data becomes available. We also work with your team to integrate model outputs directly into your existing business systems and processes — ensuring that insights lead to action rather than sitting in a report. Contact us to discuss your specific requirements.