Overview
Litigation, and business overall, often require extensive use and analysis of databases, which have grown increasingly large with advances in technology over time. Navigating complex and dizzying amounts of data efficiently and clearly requires knowledge, skill, and experience. Cirque’s team is highly trained in processing, understanding, and analyzing databases, allowing us to identify key information efficiently and securely.
Our Capabilities
Cirque’s team has extensive knowledge and experience in scores of programming languages, data management systems, and complex corporate organizations, we are capable of providing solutions in even the most challenging of matters. Examples include analyzing hundreds of terabytes of credit and debit card transactions worldwide, cleaning and combining seemingly disparate data from dozens of firms or third-party entities to create a single analytical database to perform statistical and economic analysis on, and extracting and analyzing various categories of health care data from large collections of hospitals and health care systems. We have integrated and analyzed data from large transactional datasets (such as sales or purchase data) as well as smaller subsets or summary data (including financial data, cost breakdowns, shipping and export data, survey data, and others) across a wide range of industries. We have experience analyzing complicated datasets in various languages (e.g., English, Spanish, Portuguese, Korean, German, and Chinese). With decades of experience, Cirque’s team can effectively manage, process, and analyze extensive data to identify trends, test hypotheses, and provide meaningful data-driven results and business intelligence.
Practices which frequently rely on our business data analytics capabilities include:
• Antitrust
• Class Actions
• Securities
• Labor Markets
• Mass Torts
Product & Industry Expertise
Cirque’s expertise spans a wide range of industries including:
• Banking & Finance
• Consumer Goods
• Credit and Debit Card Markets
• Food & Agriculture
• Grocery Stores
• Health Care
• Medical System Data
• Medical Equipment
• Restaurants
• Retail