5 Reasons Graph Analytics and Big Data Help Businesses Perform

Graphs help organizations easily visualize and analyze relationships and patterns that are difficult to discover. This is especially important in regard to big data because large amounts of data are well known for being extremely difficult to read. Fortunately, data scraping companies specialize in data extraction and help their clients create graphs that point to important connections that can help improve their business.

In the past, many companies analyzed big data using lists and tables. However, graphs are one of the best ways to analyze big data because they allow companies to relate objects to other objects, even when they seem to have arbitrary relationships.

The more businesses understand connections among data, the more they can enrich their customers’ experience. For example, an e-commerce company can use web scraping to analyze their website traffic and better understand the behavior of their consumers. The company can then use this information to alter their website in a way that brings about the most success.

Traditionally, companies had to use statistics and human power to find relationships between important data sets. However, data scraping combines many techniques, such as statistics and machine learning, to examine important relationships among data in less time than ever before.

In the past, graph analytics required that a company made or purchased expensive software to obtain and analyze online information. However, this is far from the case today. Fortunately, there are many companies that offer data scraping services that help their clients select and organize important online data.

Mackenzie Martin in a technology writer and Mozenda provided the information for this piece. Mackenzie writes for Fusion 360, an advertising agency in Utah. Find her on Google +.