Data Science & Analytics
BRG’s data analytics experts understand how complex data systems work.
Organizations are storing and processing voluminous and disparate data to develop new insights and capitalize on opportunities for growth. From new sources—such as Big Data, cloud systems, and social media—to traditional data warehouses and mainframe databases, the corporate data landscape continues to expand exponentially and become more nuanced as organizations seek competitive advantages in the data-driven economy. These data sources are often complex and can increase an organization’s risk exposure if not managed properly. The perils to data-driven organizations include the concealed misappropriation of corporate assets, vendor fraud, financial mismanagement, regulatory breaches, data corruption or manipulation, and other issues posed by massive data sets.
BRG’s data analytics experts understand how complex data systems work. They are engaged by clients to collect, cull and sample, analyze, and produce billions of records and hundreds of terabytes of data from disparate systems. Our data analytics team frequently prevents the occurrence of large-scale fraud by identifying variances and discrepancies in datasets that signal internal control weaknesses or the existence of inappropriate transactions. Early identification and remediation of these issues may mean organizations suffer only minimal damage, as opposed to the significant liability that material fraudulent transactions entail. Whether the investigation involves potential breaches of anti-bribery laws, insider schemes, regulatory compliance, fraud or cross-border disputes, BRG experts employ the latest technologies, data visualization tools, and data science techniques to ensure that the right data is collected and analyzed efficiently and effectively to meet the needs of the investigation.
Along with the perils presented by the explosion in volume and type of enterprise information, massive quantities of data offer opportunities to the “data-savvy” business that is able to draw conclusions from the otherwise overwhelming sea of transactions, correspondence, and documents. The ability to extract meaning from noise or find the proverbial “needle in a haystack” requires data scientists who have a strong understanding of computer science, statistics, machine learning, and business acumen. Understanding enterprise data can mean identifying which customers are most valuable, which marketing campaigns have the highest effect, or which low-value activities are occupying a disproportional amount of employees’ time. Rather than making complex and high-stakes business decisions based on intuition or anecdotal evidence, data scientists analyze the enterprise’s many different data sources and use statistical evidence to recommend a course of action.
BRG’s experts have the programming skill and experience to transform the large, disparate datasets into a format in which they can yield important business insights. In an investigative context, looking simply at emails will often not indicate fraud, but when considered in concert with SMS messages, the custodian’s calendar, and mobile geolocation data, fraud and intent may be obvious. Similarly, combining the due diligence of BRG’s investigative experts with public market data scraped from the Web and trends from the firm’s own sales data can provide a much clearer picture as to whether it would be wise for the business to expand into a new market or not. Whether reacting to a recent event or proactively looking to harness the power of enterprise data, BRG’s team of data scientists can make sense of vast information and use it to drive business decisions.
Certain investigations are conducted by licensed BRG entities, including: Berkeley Research Group Texas, LLC (A18094); Berkeley Research Group Investigatory Services of Illinois, LLC (Illinois 117001723 and Michigan 3701206962); Berkeley Research Group of Florida, LLC (A 1400243); BRG Investigations, LLC f/k/a Berkeley Research Group Investigatory Services of New York, LLC (11000189295).
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