The case for smarter, data-driven lease management – getting the basics right

In South Africa, occupier property managers face tighter compliance standards and growing pressure to improve performance, alongside ever-rising costs. Yet, many still lack the digital tools needed to make well-informed decisions.

This issue often stems from the absence of a centralised database and a complete, structured set of lease data, both critical for effective reporting and lease transaction management.

Real estate is one of the least digitally transformed globally – in fact, it is second from last,¹ leaving property teams often among the last to receive technology investments, despite their growing responsibilities.

With standards like IFRS 16 and growing demands for transparency in financial reporting, relying on gut-feel decision-making is no longer an option. Data-driven insights have become vital to improving operational efficiency and staying competitive in the market.

Retail: rent vs. revenue

The South African retail sector has experienced slowing sales growth, with a 1.2% increase in the first half of 2024 compared to 2.4% in 2023². Load shedding, inflation, and a drop in consumer spending are key factors contributing to this slowdown. To remain profitable, you must understand the relationship between store revenue and occupancy costs.

A typical retailer currently pays R7.70 in rent for every R100 in sales, a rent-to-turnover ratio of 7.7%³. This metric is critical for managing profitability. By using advanced data analytics to forecast turnover by location and demographics, retailers can make smarter lease decisions and improve store performance through optimised inventory management and layouts.

Telecom: rent vs. mobile usage revenue

Africa’s telecom tower market is projected to grow from 217 950 units in 2025 to 273 300 in 2030 at a CAGR of 4.63%⁴. The South African sector suggests a similar trend is emerging locally.

With mobile data consumption on the rise, it is becoming essential to evaluate the relationship between rent and revenue. Data analytics tools provide insights into mobile traffic patterns, enabling more informed negotiations with landlords. By optimising site selection based on performance data, Towerco occupiers can ensure sustainable profitability while keeping rental costs under control.

Recently, we spoke to a large Towerco in Africa with more than 6,000 towers. They experienced a significant challenge due to even basic lease information not being extracted at the outset – resulting in an inability to gain insights to make strategic decisions. Accurate data is imperative when making multibillion-dollar decisions on sales and leaseback transactions, acquisitions and portfolio growth.

Office: space vs. productivity

The office property sector is undergoing significant changes as organisations shift to hybrid work models. As companies reevaluate their office space requirements, the need for flexible lease terms and adaptable spaces is more evident than ever.

To optimise office space, property occupiers need to understand the relationship between space utilisation and employee productivity. This is made possible by analysing how space is used in relation to output, identifying underutilised areas to create environments that encourage collaboration and efficiency. This data-driven approach empowers occupiers to reduce operational costs while enhancing productivity and providing a strategic advantage in a competitive market.

Overcoming compliance challenges with data analytics

Across all sectors, the implementation of IFRS 16 has had a significant impact on how lease costs are reported, affecting key financial metrics like debt-to-equity ratios and return on assets. Meeting these compliance requirements has traditionally been a manual and labour-intensive process, often leaving property teams scrambling to ensure they meet regulatory standards.

Advanced data management systems can automate the extraction of key data from contracts, reducing the administrative burden and significantly minimising errors. By automating compliance, property teams can better assess risk – freeing up valuable resources for more strategic activities.

The future of property management is data-driven

As the property industry undergoes digital transformation, property managers are facing mounting challenges. Whether it is understanding the balance between retail store revenue and occupancy costs, maximising telecom revenue per tower site, or optimising office space utilisation, data-driven insights are essential for making smarter, more strategic decisions.

Learn how to elevate your portfolio’s potential and manage all your leases with ease and efficiency.

References:

1. The power of generative AI in real estate | McKinsey
2. South Africa’s Retail Industry in 2024 – Malander Advisory
3. Retailers’ rent-to-turnover ratio now at its best level in more than 10 years says Redefine – Property Wheel
4. Africa Telecom Towers and Allied Market Size, Share & Growth Analysis