Global Law Firm Transforms Marketing and Early Case Assessment with Augmented Analytics
公司规模
Large Corporate
地区
- America
- Asia
- Europe
- Middle East
国家
- United States
产品
- Tellius
技术栈
- Augmented Analytics
- Machine Learning Modeling
- Natural Language Processing
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Revenue Growth
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- Professional Service
适用功能
- 商业运营
- 销售与市场营销
服务
- 数据科学服务
- 系统集成
关于客户
The customer is a top 100 global law firm with a revenue of $1 billion. The firm employs over 1,000 attorneys and operates across 16 offices located in the United States, Europe, Asia, and the Middle East. The firm is committed to building a data-driven culture to empower its case teams, marketing, finance, and operations departments. By leveraging data, the firm aims to surface new insights, make better decisions for case strategy, and accelerate opportunities to increase revenue, improve profitability, and offer the best representation to clients. The firm is led by Peter Geovanes, the Head of Data Strategy, AI, and Analytics, who is focused on transforming the firm's approach to data and analytics.
挑战
The law firm faced significant challenges with its data analytics environment. The firm used point solutions for every part of the business, resulting in a lack of a centralized ERP for operations or a data warehouse as a central repository. This made it difficult to incorporate data from third-party vendors into the analysis, which was crucial for having a unified view of data. Additionally, the existing analytical tools were outdated and overly complicated, requiring analysts to spend many hours manually manipulating data and creating reports and queries. This lack of self-service intelligence in their analytics portfolio further hindered the firm's ability to quickly gain insights and make informed decisions.
解决方案
The firm chose Tellius as its analytics platform to address its challenges. Tellius enables the firm to combine data from multiple sources, including accounting, case management, and external third-party data feeds. The platform harmonizes and enriches data to highlight important signals and metrics, creating unified views for analysis. Tellius's automated analytics capabilities allow the firm to quickly identify underlying patterns, segments, and outliers in the data, revealing insights that were previously unseen. This has significantly reduced the time required to identify new business opportunities. Additionally, Tellius offers self-service analytics with natural language processing, empowering non-technical users to interact with data and visualizations easily. The platform also supports machine learning modeling, enabling the firm to advance into predictive analytics without investing in a separate system. By using Tellius, the firm avoids high per-user fees and maximizes the benefits of analytics across the enterprise.
运营影响
数量效益
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