Structured Data Analysis and Reporting
Uncover relevant information hidden within structured data repositories.
Extract and analyse information from enterprise databases. Present relevant information in context to meet legal and compliance needs while ensuring data privacy and adhering to regulatory standards.
Work With Epiq Experts
Prepare Data for Review
Convert raw data into meaningful and contextual information.Uncover Buried Information
Extract and process data from enterprise databases, including legacy systems.Protect Sensitive Information
Comply with privacy regulations by anonymising or redacting sensitive data.Prepare for Production
Output data in a format consistent with production requirements using custom reports.Key Features
- Create a data map of your systems of record through interviews with people who routinely work in these systems.
- Identify where information resides, distinguishing between copies for convenience versus systems of record.
- Use reverse engineering to extract data when institutional knowledge is gone, including from mothballed systems, undocumented systems, and systems obtained during acquisitions.
- Answer complex questions that require analysis across multiple fields and data sources working with analysts experienced in accessing the story behind the data.
- Enrich raw data with contextual information through identification of related fields and information contained within multiple tables.
- Extract structured data from HR systems, payroll systems, industry mandated databases, and more, working with experienced teams.
- Meet production requirements using custom reports to output data in required formats.
- Comply with healthcare (HIPAA), financial (PCI), and privacy (GDPR, CCPA) guidelines by anonymising or redacting data.
- Supply data, including metadata, in a format that is easy to ingest.
- Follow accepted Sedona Conference guidelines for structured data productions.
- Databases Containing Sensitive Information: Anonymise data, including extra protections for individuals in small population groups.
- HR and Payroll Systems: Ensure data from systems that contain personal information are properly redacted during production.
- Industry-Specific Databases: Interrogate data from unique systems that require specialised knowledge, such as pharmaceutical, financial services, manufacturing, and more.
- Legacy Databases: Reverse engineer legacy databases when internal expertise or documentation is not available.