SAS launches Social Network Analysis

SAS has launched SAS Social Network Analysis to enable companies to fight fraud and better understand customer sentiment.

SAS Social Network Analysis and SAS's social media analysis solution help organisations uncover hidden relationships between individuals and data; detect patterns and trends; and mine text and other unstructured data.

From phishing and skimming to claims fraud and money laundering, increasingly sophisticated fraud techniques are causing huge losses and harming customer relationships.

So too are negative online comments that quickly spread through websites, blogs, Twitter and other channels, resulting in lost business and damaged brands.

The rapid adoption of social media has given the public a platform for expression and generated huge amounts of data on customer likes and dislikes.

Financial transactions also generate vast quantities of data, with potential fraud buried deep.

In this era of relationships, the same business analytics that sift through data volumes to detect hidden fraud patterns can also strengthen brands by revealing insights in customer interactions.

SAS Social Network Analysis applies link analysis to fraud detection and prevention, marketing, customer segmentation and more.

Using it within the SAS Fraud Framework, insurers and government agencies can pinpoint suspicious individuals and transactions and stop additional fraud.

Telecommunications and bank marketers can measure and predict the influence of different customer segments on acquisition, retention and up-sells.

With this intelligence, companies can boost new offerings by initially targeting the highest-influence segments.

To fight fraud, SAS Social Network Analysis helps investigators go beyond transaction and customer views to analyse all related activities and relationships within a network: shared addresses, phone numbers, employment information, account ownership and other transactional data.

The software's visualisation capabilities speed access to full customer details and all related parties and networks, resulting in quicker case assessments and better dossiers.

Analysing networks graphically makes it easier to identify key opinion leaders and associated communities of interest, and uncover previously unknown relationships.

SAS Social Network Analysis includes patent-pending technology, Net-Chaid, which helps fraud investigators and brand and marketing managers examine and manipulate very large clusters for easier analysis.

SAS's social media analysis solution is powered by Sentiment Analysis Manager from SAS's Teragram division.

Through natural language processing and text mining, the software captures consumer product reviews and brand comments from mainstream sites such as Amazon and Overstock, message boards, and social media outlets such as blogs and Twitter.

Sentiment Analysis Manager automatically locates and analyses digital content in real time to determine the writer's emotion, spot changing trends, and uncover potential product defects at an early stage.

The software searches and evaluates positive, mixed and negative phrases in text, including tricky phrasing such as 'this is not the best camera available'.

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