Invoice reporting worked one way; purchase-requisition reporting worked another. Customers had to navigate the differences before answering their business questions.
Each team delivered reporting and analytics in its own way. A customer moving from invoices to purchase requisitions encountered a different reporting experience within the same product suite.
The need was to understand business data. Instead, customers also had to work through the differences between teams’ reporting approaches. Standardising that experience was the problem to solve.
I built a shared Data Analytics Platform to standardise reporting and analytics across these workflows. The goal was a consistent customer experience, supported by a common foundation for product teams.
Different experiences for invoices and purchase requisitions.
Bring reporting and analytics onto a common foundation.
Standardise how reporting is delivered across workflows.
The platform supported ad hoc reporting, queries, third-party data ingestion and processing, as well as machine-learning training and natural-language processing use cases.
I also built MLTrain, enabling analysts and data scientists to manage ingestion, processing and orchestration through self-service workflows.
Reporting and analytics capabilities were adopted by 70% of paid buyers. The shared platform made standardisation part of the product experience, rather than leaving each team to deliver reporting differently.
Interested in Senior and Principal Product Manager opportunities across B2B SaaS, AI, developer tools and data platforms.