Data Analytics

Organizations in Africa have seen tremendous data volumes and trends show more data accumulation in the future. To be ahead of the market, organizations must store and analyse data, drive strategy through to a data-driven approach. It’s inevitable for entities to leverage on competition.

While organisations are focusing on data storage, the elephant in the room is how that massive data will be analysed to extract actionable insights into customer behaviour, risk analysis, security anomalies, rank the top/bottom earners and many more.

To achieve strategic corporate data goals, your data is only as powerful as the platform in use. A good data analytics platforms should cater for both short-term and long-term requirements of the organisation, specifically on the ability to ingest, analyse, and scale queries for future data volumes and more to end-users. This will help data team receive fast, comprehensive answers to their queries.

The tool to use is SQream DB, it’s designed from the ground up to support large-scale analytics on massive datasets. Giving data science team the opportunity to do more. SQream DB can be integrated as a standalone database solution or as a complementary analytics database to maximize your IT investments. SQream’s uses GPU-powered analytics engine, powerful technology that breezes through trillions of rows of data to get you results up to 100x faster as your organisation data grows from terabytes to petabytes