Nando’s, a popular fast-food chain known for its flame-grilled peri-peri style chicken, was facing a significant challenge with its existing infrastructure. The company, which operates over 1,200 outlets in 30 countries, was struggling to meet the demands of its data-driven marketing strategies, particularly around customer loyalty and rewards programs. The existing infrastructure was slow and inflexible, making it difficult for the data team to effectively manage data pipelines and make informed business decisions. The team, led by Miquel Puig, Technical Lead on the Engineering team, was manually working on data pipelines and making business decisions based on data at the ingestion stage. One of the key use cases was turning end-of-day data from the outlets into insights that informed loyalty and reward programs.

Nauto, a company that delivers predictive AI technology to make roads safer, was facing a significant challenge in managing its complex workflow. The company had to deal with multiple systems and stakeholders throughout the sales process, which often led to difficulties in finding a single source of truth. Nauto relied on fragile point-to-point integrations for taking new orders, processing payments, shipping hardware to customers, and managing customer subscriptions to its cloud data processing services. Any broken integration could leave its business users unable to serve customers for days. Moreover, different business systems rarely shared the same version of the truth. This situation led Nauto to seek a way to establish a single data repository that it could manage in-house using flexible modern tools.