In today’s competitive landscape, businesses face various challenges that require effective data utilization and insights. Some of the key business problems include the need to leverage data to double revenue, establishing a robust BI and Data Roadmap to support enterprise digital transformation, building a global Modern Data Lake capability for cross-functional and self-service data and BI, planning, and inventory allocation, implementing business performance management dashboards, revenue management dashboards, route optimization for sales recommendations, demand forecasting, and obtaining reporting and insights into partner processes.
These challenges necessitate advanced data solutions and strategic decision-making tools to drive business growth and success.
Nihilent expertise and Snowflake technology come together to establish a robust data lake that addresses business priorities, enables seamless integration, ensures data quality, and empowers advanced analytics.
In the global industrial pipe market, a company specialising in integrated water and fluid management faced the challenge of lacking a centralised Business Intelligence (BI) strategy for accurate reporting and analytics.
Nihilent assisted, helping with platform selection and implementing a data lake in Snowflake. We developed a specific dimensional data model and integrated data from various systems. Additionally, Nihilent developed machine learning (ML) use cases for route optimisation, bill fraud detection, and product recommendations.
The results were impressive, with a 10% increase in billed outlets and a 20% increase in successful sales visits and cross-sell opportunities. Implementing the data lake and ML solutions improved dealer satisfaction, increased order bookings, and provided valuable insights into category-wise sales and inventory.
In the rapidly changing food and beverages industry, a global tea, coffee, and other hot beverage marketer faced the challenge of not having a central data and analytics platform to facilitate collaboration and data sharing among its federated businesses and partners. Nihilent helped prepare their data and business intelligence (BI) strategy and evaluated cloud platforms to select the most suitable suite of technologies.
We designed and developed the data and BI platform, enabling real-time data updates for distributors and developing financial reports, business performance dashboards, and route optimisation for sales teams. The solution saved significant time on manual reporting efforts, increased sales efficiency, and provided a secure platform for data sharing with partners and suppliers. The company achieved logical separation of computing for federated business units by implementing a data lake on Snowflake. Snowflake data-sharing features enabled data availability across global regions in minutes.
