“Mark Logic provides significant utility in dealing with XML data, particularly its capability around content transformation. ” —Joe Tetzlaff, Wolters Kluwer Health Medical Research

Analytics

MarkLogic Server’s analytic capabilities let you analyze all of your information at a high-level to reveal broad insights or at the granularity of a single document for a detailed understanding of information. With an improved understanding of the content, organizations can better leverage the information they have.

Many organizations are unable to determine even basic details about their content like: how many authors do I have, how many journals, how many pages, how many images etc. With MarkLogic Server’s analytics capabilities you can answer all of these questions and more. MarkLogic Server enables you to perform deep, meaningful and actionable analysis and allows you to provide rich exploration and visualization interfaces for your content. By providing a single view across all of your content it lets you answer questions such as who’s your most prolific author, what are the most common article topics, which authors are cited the most, or content tagging trends over time. You can analyze your content “as is” on an ad hoc basis, or you can enrich the content to facilitate specific types of analysis.

MarkLogic Server can analyze all of your content to produce a “tag cloud” that shows the most used tags, such as “product name” or “country”, along with a cross-reference of the most commonly occurring products and countries. With that knowledge, you can build new, targeted applications. Or you can determine which documents, or even pages of those documents, are the most cross-referenced. You can also determine relationships between tags, such as how people are related to specific topics or geographic locations.

MarkLogic Server includes co-occurrence analytics which helps you discover previously unknown relationships within your content. The system allows you to issue queries and in real-time reveal the most common pairs of entities occurring in your result set. For example, a query on a symptom in a medical condition database could return the most common pairs of drugs and side-effects, or in a news feed, the most commonly occurring pairs of names and locations.

Industries

MarkLogic Server’s analytics capabilities are used to build a number of industry-specific solutions.

Customers

Visit our customer section to see how companies are utilizing MarkLogic Server.