A leading bakery products maker, present worldwide, needed a data platform that could keep up with the pace of its business, one that was agile and capable of processing data in real time. Instead, the platform it had was doing the opposite: yielding low ROI and needing real correction before it could support the business the way it should. Getting insights out of the system was slow, a consequence of a complex data ecosystem that made even simple questions take too long to answer. Underneath all of it, the company lacked a data engineering team strong enough to handle the complexity of its own data needs, leaving the business without the internal capability to fix the problem on its own.
Ascendion reimagined the client’s data platform from the ground up, creating a flexible, scalable, and economical foundation designed to replace a system that had been costing more than it delivered.
Data processing was simplified through smart data pipelines that enabled data sharing across the enterprise, breaking down the silos that had made insights slow to reach the people who needed them. Ascendion future-proofed the data architecture with the client’s future roadmap and data gravity in mind, and performed MVP-driven architectural component validation to guide the right product selection rather than guessing at what would scale.
Simplified and created an easy-to-maintain data engineering process.
Delivered ~50% cost savings on datastore license fees.
Enabled quality and faster, more actionable insights.
Built a data engineering team with strong skills and a simplified architecture to support them.
