9th-Feb-2026 • Faith Chebet • Analytics
Small and Medium Enterprises (SMEs) in Kenya are the backbone of our economy. However, many struggle with understanding their business performance and identifying areas for improvement. This is where analytics comes into play, providing valuable insights that can drive growth and profitability.
Analytics allows SMEs to make data-driven decisions by revealing trends, patterns, and key performance indicators (KPIs). By leveraging this information, businesses can optimize their operations, identify opportunities, and mitigate risks more effectively.
Take, for instance, a Kenyan coffee roastery. With analytics, they could track the popularity of different blends, adjust production accordingly, and ensure consistent demand is met. Conversely, if sales of a particular blend were consistently low, they might decide to discontinue it or tweak the recipe to improve its appeal.
In a recent survey by Lipabiz Technologies Ltd, 80% of SMEs in Kenya expressed their need for data-driven insights. Yet, only 40% reported having access to such tools. This gap presents an opportunity for SMEs to gain a competitive edge.
Selecting the right analytics tool is crucial. It should be user-friendly, scalable, and capable of integrating with your existing business management platform.
Lipabiz Technologies Ltd offers a comprehensive business management and payments platform that includes built-in analytics capabilities. This streamlines data collection and analysis, enabling SMEs to focus on making informed decisions rather than navigating multiple tools.
Identifying relevant KPIs is essential for understanding business performance. Common KPIs for SMEs include sales growth, customer acquisition cost, and net profit margin.
By monitoring these KPIs consistently, businesses can identify trends, spot anomalies, and take corrective actions when necessary. For example, if customer acquisition cost is increasing while sales remain stagnant, it may indicate the need to rethink marketing strategies or adjust pricing.