About
Lansinoh is a global leader in maternal and infant health products, known for providing high-quality breastfeeding and postpartum care solutions. With a focus on innovation and healthcare trust, Lansinoh serves retailers and healthcare providers across multiple international markets.
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The Challenges
Before engaging Saras Analytics, Lansinoh was using Domo for its ETL and reporting needs. The platform presented multiple challenges:
- High annual licensing costs, exceeding $100,000
- Overly complex workflows that were difficult to manage and maintain
- Inconsistent reporting processes
- Lack of automation for ingesting vendor data and email attachments
- Limited visibility into Amazon performance and competitive intelligence
These factors led the team to seek a more reliable, cost-efficient, and scalable solution.
The Solution
Saras Analytics replaced Lansinoh’s Domo setup with a tailored data architecture using Daton, BigQuery and DBT. The engagement included:
- Implemented automated data ingestion in data warehouse, powered by Daton
- Creation of automated workflows to ingest vendor files received via email
- Migration of key reporting workflows, including invoiced sales, point-of-sale consumption
- Creation of new dashboards for digital marketing, market intelligence, and margin analysis, global amazon performance and category dashboard.
- Introduction of a automated ingestion of a forecasting data that allowed quick input of new forecasts and historical comparisons in a single platform
- Development of a Flywheel (Edge by Ascential) connector to provide Amazon market intelligence across brands, enabling Lansinoh to benchmark its products against competitors and gain deeper visibility into category trends
The Outcomes
- 75% reduction in annual data stack cost by migrating from Domo to Saras Daton
- Faster, more reliable reporting processes
- Reduced dependency on manual work
- A scalable data infrastructure capable of supporting evolving business needs
Download the full case study to explore how Saras helped Lansinoh transition from Domo to a more modern, efficient, and scalable analytics setup.