Businesses increasingly need to understand what is happening while their operations are running, rather than waiting for daily or monthly reports. Streaming data analytics makes this possible by processing information continuously as it is generated. In South Africa, organisations across banking, retail, telecommunications, transport, and manufacturing can use this technology to respond to changing conditions, improve services, and identify new business opportunities. Understanding Streaming Data Analytics Traditional data analysis often relies on information collected and stored for later examination. Streaming analytics works differently by processing incoming information in near real time. Data can come from mobile applications, online transactions, connected devices, customer interactions, and business systems. Technologies such as Apache Kafka, Apache Flink, and cloud-based data platforms help organisations collect, process, and analyse continuous data streams. These tools allow b...
Excel has helped professionals across industries organize information, prepare reports, track performance, and support everyday business decisions. However, as organizations work with larger datasets and increasingly complex business questions, spreadsheet skills alone may not be sufficient. Professionals in Ethiopia who already use Excel can build on their existing knowledge and gradually develop the technical abilities required for data analytics and data science. Moving beyond spreadsheets does not mean abandoning familiar tools. Instead, it involves learning how to process larger volumes of information, automate repetitive tasks, identify meaningful patterns, and communicate insights more effectively. With a structured learning plan and practical experience, professionals can prepare for new responsibilities without starting their careers from scratch. Why Excel Users Have a Useful Starting Point Regular Excel users often understand tables, formulas, filters, pivot tables, and char...