Forensic data analysis for investigations and complex litigation
Complex litigation often hinges on the ability to collect, analyze, and present large-scale data. Joe Sremack provides forensic data analytics services for fraud investigations, class action matters, commercial disputes, and regulatory compliance — transforming raw data into clear, defensible findings.
Joe Sremack is a forensic data analytics expert with more than two decades of experience analyzing enterprise systems, financial data, and large-scale datasets in litigation and investigations. He has served as expert in some of the largest financial investigations in recent history, including three of the largest Ponzi schemes and major mortgage-backed security fraud cases. He is the author of Big Data Forensics (Packt, 2015).
ERP systems (SAP, Oracle, NetSuite), CRM platforms, financial systems, and custom business applications
SQL Server, Oracle, MySQL, PostgreSQL, MongoDB, and other relational and NoSQL databases
Banking records, trading data, payment systems, accounting records, and financial statements
GPS records, cell tower data, vehicle telematics, mapping data, and location-based services
Regulatory filings, court records, property records, corporate registrations, and public datasets
Social media platforms, web scraping, online activity, and digital communications
AWS, Azure, Google Cloud, Salesforce, and other cloud-based data sources
Hadoop clusters, Spark, data lakes, and distributed data processing environments
Electronic health records, claims data, medical device data, and healthcare analytics platforms
Defensible collection and preservation of data from enterprise systems, cloud platforms, and diverse data sources
Hypothesis testing, regression analysis, statistical sampling, and quantitative analysis for legal standards
Identification of unusual patterns, outliers, and anomalies in transactional and behavioral data
Assessment of data quality, completeness, accuracy, and reliability for evidentiary purposes
Chronological analysis of events, transaction sequences, and activity patterns from data records
Data analysis supporting damages calculations, class certification, and financial impact assessments
Clear, compelling visualizations that communicate complex data findings to judges and juries
Development of specialized analytical tools and methodologies for unique investigative challenges
Joe has served as expert in some of the largest and most complex financial investigations in recent history, including three of the largest Ponzi schemes — among them the Bernie Madoff matter — as well as major stock option backdating investigations, mortgage-backed security fraud cases, and international regulatory compliance matters. His work spans virtually every major industry.
Contact Joe to discuss how forensic data analytics can support your case.
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