HIP Consult recently assisted CSquared, a market leader in open-access wholesale metro fiber in Africa, with identifying potential opportunities for revenue growth across several of its key markets, by leveraging its specialized data and sophisticated data analytics techniques.
CSquared’s networks are present in major cities in Uganda, Ghana and Liberia, with extensive ring structure coverage and levels of capacity and redundancy previously unavailable in those markets. In a quest to improve revenue generation from several of its metro networks, CSquared tapped HIP Consult to create a granular view of the business and highlight latent opportunities.
To complement and augment CSquared’s revenue discovery and development process, HIP Consult adopted a fresh approach for market analysis. This included considering granular localized features in conjunction with CSquared’s network footprint, and employing an intelligent machine learning model to create a profile of existing activity clusters. Such profiling allows for a more comprehensive, in-depth review of asset performance and avenues for potential uplift.
Commenting on the impetus and outcome of the engagement, Lanre Kolade, Chief Executive Officer of CSquared, noted, “We partnered with HIP Consult to leverage their deep market knowledge and unique data science capabilities to shine a light on latent demand within our network footprint. The results of the exercise not only opened our eyes to material revenue opportunities within our coverage areas, but moreover provided tangible insights as to how, and – quite literally – a detailed map of where, to pursue them.”
HIP Consult’s bespoke machine learning tools and proprietary data sets allow for analysis on an extremely fine scale. Unpacking and understanding asset dynamics on a granular geographic basis addresses limitations that fixed and mobile network operators typically encounter when seeking to identify and serve less apparent, but collectively significant, pockets of demand. The resulting insights can be acted upon to improve the economic fundamentals of the business, as well as to inform and de-risk investment decisions.