WADE Insights automates data model and platform orchestration, enabling domain experts and data engineers to accelerate data insights. Their SaaS platform simplifies the management of data platforms like Azure Synapse and Databricks Data Lakehouse, while ensuring compliance with GDPR and other data protection regulations.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to efficiently manage and derive value from their data assets due to manual development and maintenance work required for data platform orchestration. This often leads to delayed insights, increased costs, and dependence on specialized personnel.
Solution
WADE Insights offers a SaaS platform that automates data model and platform orchestration, enabling domain experts and data engineers to accelerate data insights. The platform simplifies the management of data platforms such as Azure Synapse and Databricks Data Lakehouse, while also ensuring compliance with data protection regulations. WADE's solution automates the process of ingesting, transforming, modeling, and delivering clean, reliable data, reducing manual effort by over 80%. By combining cloud analytics with on-premises capabilities, WADE provides a unified solution for multiple business purposes, creating sustainable data insights.
Target Audience
WADE Insights targets domain experts and data engineers in organizations seeking to accelerate business insights, reduce costs, and improve data governance across cloud and hybrid environments.
Features
- Full automation of Azure-based Synapse Data Warehouse and Databricks Data Lakehouse deployments
- Hybrid data platform automation, allowing for on-premises data storage while leveraging cloud computing power
- Metadata-driven approach for automating data assets into a data lake, integrating, governing, and modeling data
- Agile delivery methodology and strategies for measurable data-driven results
- Pre-built industry data models for Retail, Healthcare, and Financial Services
- Data Platform Accelerator to free up domain experts and data engineers from non-value adding tasks