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SAS : Text Analytics for Executives

What Can Text Analytics Do for Your Organization?

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SAS text analytics provides a flexible framework capable of tackling a variety of use cases in support of a single initiative. This framework supports the end-to-end text analytics life cycle, including preparing data, visually exploring topics, extracting entities and facts, analyzing sentiment, building a variety of text models and deploying them within existing systems or processes. Machine learning powers topic generation, categorization, entity/fact and sentiment extraction to automatically identify relationships and patterns that exist within text.

The SAS Platform fosters collaboration by providing a toolbox where best practice pipelines and methods can be shared. SAS also seamlessly integrates with existing systems and open source technology. Open APIs enable users to call SAS text analytics using a programming environment and language of familiarity. APIs are available for Java, Python, Lua, R and RESTful web services.

My organisation’s data access is through:
ERPExcel files / AccessEmailsLog Books/ Hard CopiesCustom application (Please specify)

My organisation is looking for a Data Quality & Integration solution that will help us:
Address Data Quality issue and turn information in to mission critical intelligence for strategic business decisionsFetch departmental data from various 'source' systems to create a single version of truth

Which of the challenges are you facing in your organization? (Tick ALL applicable points)
Unable to tap into big data to surface unexpected insights for effective decision making`Lacking the ability to interact with data in a graphically driven, intuitive manner to identify new relationshipsUnable to interact with information on mobile devices for offline decision making

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