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Certain columns may not have any statistical interest - they all may have the same value for instance. A data set may have missing values, or be too small to draw meaningful conclusions from. Watson first analyzes the file to estimate the quality of the data. The data values are separated by commas and each column of data has a name, usually given to it by the administrator who created the table or spreadsheet. A CSV file can easily be extracted from a spreadsheet or a database table. But they offered a glimpse of how the technology, which IBM is still refining, would work.Īs a first step, the user uploads a CSV (Comma Separated Values) or XLS (Excel Binary File Format) flat file to the service. None of the demonstrations were live the audience was shown screen shots taken before the presentation. In a series of presentations, IBM showed how Watson Analytics could be used. The service is powered by a set of different IBM analysis technologies, such as Cognos and SPSS, and adds some machine learning capabilities from the Watson project.
Spss ibm watson analytics full#
"It's the full range of analytical capabilities integrated together in one user experience," Sall said in an interview before the launch event. The service can upload data, cleanse it, understand the user's requirements through an interactive natural language query session and then produce a range of analysis and accompanying visualizations that may be of interest. In an event in New York Tuesday, the company demonstrated how the service would work.
Spss ibm watson analytics trial#
The new service, IBM Watson Analytics, launched as an invitational beta trial on Tuesday, can walk the user through data analysis by way of a series of interactive steps. So they make a decision without any analysis," said Eric Sall, IBM vice president of marketing for business analytics.
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"Often what business users do is rely on a data scientist or business analysts to help them, which can be too slow, or those people may not be available.
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With the newest commercial service to spring from its highly publicized Watson cognitive computing initiative, IBM is attempting to streamline the process of analyzing data so business managers can pull insights from data sets without the help of IT experts.