Have you ever wished that the output generated from your IBM SPSS Statistics software was presentation or report ready? Have you ever wanted a more thorough interpretation of your results?
Presenting the OLSPS Statistical Interpreter (SI) - a collaborative effort by the OLSPS Data Scientists, borne out of years of experience working with our clients, defining their needs and deciding to produce a tool that allows our clients to take a far deeper approach to the results that their data produces.
SI is an effortless tool that incorporates word processing functionality within the IBM SPSS Statistics software. Most users choose IBM SPSS Statistics because its easy-to-use and doesn’t require a high level of statistical knowledge however this doesn’t assist the user in understanding the results presented by the Output Viewer nor does it allow them to truly benefit from the results. Until now.
Now IBM SPSS Statistics users can obtain an explanation of their numerical results in a well-formatted document in either Microsoft Word or HTML. The SI tool is handily installed within the IBM SPSS Statistics software, all the user would need to do is select the SI extension bundle from their Output Viewer and the main findings of their results will be automatically be generated.
Currently the SI tool is only available to OLSPS clients however this value-add extension will soon be available on cloud meaning that all IBM SPSS Statistics users, even non-OLSPS clients will be able to gain access to this incredible tool. The cloud application will be available on a pay-per-use model, allowing the capabilities of the SI tool to be available to any user on demand, wherever you are.
The cloud version will have an ever-growing number of analyses available, while at present, the available routines in the desktop installation are as follows:
One sample T-Test
Now users can create presentation-ready reports, while gaining far more powerful insight into their data.
About OLSPS Analytics:
OLSPS is an international, market-leading data specialist with expertise ranging in software, technical data analysis, predictive analytics, artificial intelligence, biological modelling, living renewable resources stock assessment, eLog software solutions for the commercial fishing sector, fisheries management, machine learning, deep learning solutions across variable industries and fields of expertise.
OLSPS Contact Information: Name: Dr Michelle MacDevette, Director of Data Science Email Address: Number: +27 21 702 4666 Web Address: http://www.olspsanalytics.com/
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