Legal Services Company Wins Big with Enhanced Data Analytics Platform
The client in this case study is a legal services company that helps organizations identify, analyze, process, and monitor representative action litigation settlement claims. The client uses a “finder’s fee” business model, receiving a percentage of the funds that are recovered.
With customers that include members of the Fortune 500 and 1000, the client is well-positioned to help businesses of all stripes and industries. The client has helped thousands of corporate clients recover hundreds of millions of dollars. However, our client knew that there was greater value hiding within their data assets, and was seeking a way to enhance their ability to make predictive business decisions with their analytics environment (and do it faster as well).
The client considers its enterprise data a valuable strategic asset that helps the organization quantify its potential business opportunities. As such, the client’s data needs to be very high-quality or a high degree of data quality: complete, accurate, valid, and consistent.
Download our paper to learn how our client was able to enhance their data platform and garner more insights and make actionable decisions than they previously thought was possible, and the journey they took with Datavail to address and solve their data analytics issues.
- The Problem: Slow, Inefficient Data Wrangling – In order to more effectively fill their docket and uncover potentially viable representative action cases, the client needs a fast and powerful data management pipeline.
- The Solution: A Robust Data Pipeline in the Azure Cloud – In search of a data and analytics partner, the client reached out to Datavail. By helping the client get answers to crucial business questions, Datavail was able to clearly demonstrate the value of a fast, efficient, cutting-edge data pipeline. Datavail helped the client envision and implement its big data cloud environment, from strategic planning to long-term support and maintenance. This technology stack includes:
- Azure Data Factory for data integration
- SQL Server for data storage and warehousing
- Power BI for reporting, dashboards, and visualizations
- The Results: Data-Driven Insights for Higher Profitability – Thanks to its partnership with Datavail, the client can now benefit from a robust, production-ready data analytics pipeline. As a result, Datavail is now the client’s preferred data services vendor, and the client has decided to engage Datavail for future recurring work. This will consist of an ongoing IT managed services relationship to help the client with data ingestion, integration, transformation, and reporting and visualization.
- How Datavail Can Help – Are you looking for your own knowledgeable, experienced data and analytics partner? We’re here to help. Datavail is a Microsoft Gold Partner and has been a trusted Microsoft Partner for the last 17 years.
Our list of cloud data analytics services includes:
- Cloud readiness assessments of your IT hardware, software, and integrations
- Roadmaps and strategic planning for minimal downtime
- Total cost of ownership (TCO) analyses for the most cost-effective solution
- Migrations and upgrades for your data warehouse or data lake
- Integrations and connections for your on-premises and third-party data sources
- Real-time dashboards and reporting for up-to-the-minute insights
- Ongoing long-term support and maintenance
Ready to learn how Datavail can help with your next project? Contact our team of data management and analytics experts today for a chat about your business goals and requirements.
Download the Case Study