Customer overview
To improve sales effectiveness, a large IT company had a vision of a collaborative, agile analytics platform that would enable their analyst-led incubation process to take millions of leads from a wide variety of sources and use marketing expertise and data science algorithms to route them to the channel with the highest likelihood to close.
Challenge
Our client has an enterprise scale lead management system. They wanted a modern and elastic marketing analytics platform that supports ad-hoc analysis and advanced statistics without having to rebuild their existing solution from scratch. With the help of Inviso, they can now take advantage of a solution that intelligently routes marketing leads and improves sales conversions, all driving increased revenue.
Solution
Building on our deep knowledge of Azure data services, we created a solution for the client that delivers against their requirements, with:
- Hybrid platform of Azure data services built around existing privately-hosted on prem analytics infrastructure.
- Modern data services like Azure Data Lake, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure Machine Learning to add scalability.
- Traditional data platform components like SQL Server, Azure SQL, SSIS, Analysis Services, and Power BI to retain existing processes.
Results
- More effective lead generation processes
- Higher quality leads
- Higher conversion rates
- Increased revenue
- Scalability
- Versatile and user-friendly environment for self-serve analytics
Technologies used
- Azure Data Lake
- Azure SQL
- SQL Server
- Azure Databricks
- SSIS
- Azure Data Factory
- Azure Synapse Analytics
- Azure Machine Learning
- Azure Analysis Services
- Power BI