“There are many business problems which text analytics can help to solve, such as fraud detection and accurately assessing customer feedback,” said John Spooner, Head of Data Science at SAS UK & Ireland. “Combined with natural language processing, machine learning and linguistic rules, SAS helps organisations incorporate everything onto a visual dashboard to reveal the bigger picture. With this, companies will be able to clearly identify and understand the insights from their data and make more informed decisions.”
SAS® Visual Text Analytics uses intelligent algorithms and natural language processing (NLP) techniques to automatically extract relationships and patterns within unstructured data,therefore eliminating the need for manual analysis. The NLP tools help users in sentiment analysis, speech to text, natural language understanding and natural language generation. For example, accessing and analysing otherwise untapped data through NLP has allowed financial institutions to improve the efficiency and accuracy of managing anti-money laundering (AML) investigations. When tedious tasks such as monitoring negative news or scanning trade documents for illicit activity are automated, investigators can be sure they are using a consistent risk-based approach. This allows users to understand which cases present the greatest risks, and then prioritise for investigation.
SAS earned top marks in the Forrester report in many sub-categories for its current offering including: analytics, ease of use, mix of rules and machine learning, depth of functionality, and others.
The report states: “SAS’s brand speaks for itself as a leader in advanced analytics; as a result, SAS Visual Text Analytics comes with a number of machine learning models. Users can also leverage other capabilities of the platform, such as forecasting and optimsation, to deliver predictive, prescriptive, and actionable analytics.”
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