Analytics & machine learning

Adapting to the dynamically changing needs and preferences of users requires foresight. The ability to look ahead and predict expected trends is attainable through data. We support our clients in the domain of advanced analytics and machine learning in four areas:

Data strategy and management

Data Science

Data Engineering

Data Visualisation

Almost half of the work involved in unlocking the potential of data is getting the strategy, governance and compliance right. The right data strategy will ensure that the organisation is getting the full value from data to support business objectives. As a result, we also need to keep abreast of the latest technologies, tools, techniques, systems, processes, workflows and capabilities.

An effective data management framework is the foundation for a successful data-driven organisation. It lays the foundation for data use and plays a critical role in system performance, security, storage, documentation and interpretation of data - all leading to better and more timely decisions.

Our experts, consultants, engineers and developers are dedicated professionals whose sole mission is to help our Clients build a solid data management framework and reap its benefits.

Through our Data Engineering service, we create value for our Clients by developing, optimising and operating automated reports, data lakes and the software that exploits them, whether on-premise, in the cloud or in hybrid environments, always designed and operated with a focus on a robust infrastructure and efficiency at scale.

Our Data Science team uses big data analysis, artificial intelligence and machine learning to help you see the future, identify patterns and business opportunities and create a data culture that will drive competitive advantage in the market.

Our visualisation team helps you visualise insights. Visualisation can be done in more traditional ways such as a PPT report, but we also like to use Tableau and PowerBI.

What to expect:

Trend forecasting

Data-driven thinking

Modern analytical tools and dashboards

Logical data analysis methodologies