Link Analysis is a method of data analysis used to evaluate relationships between objects. It is a field of study where users work to analyze and gain a deeper comprehension of data with many entity types, relationship types, and attributes. By identifying the relationships between objects, users can predict patterns, and reveal new or hidden insights. In turn, they can make more accurate and strategic decisions based on these findings.
Link Analysis applies to a variety of industries, from detecting fraudulent transactions, to analyzing social networks for market analysis, and building smart cities. For each of these challenges, link analysis is often applied to data to connect the dots, find the needle in the haystack, or unify and break down silos. Users then use the results to determine patterns within their data, and take action accordingly.
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To view the Tom Sawyer Perspectives for Link Analysis datasheet, click here.