IBM Brings More Self Service Options to Data Professionals

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Businesses can now make faster decisions with greater control of predictive analytics assets

ARMONK, NY – 10 Mar 2017 — /BackupReview.info/ — IBM (NYSE:IBM) today announced it is providing businesses with more self-service analytics options that allow for advanced statistical capabilities for faster decision making. IBM SPSS Statistics Subscription gives businesses the power of SPSS Statistics’ predictive analytics capabilities with a flexible subscription payment option, including an easier buying, managing and licensing experience.

With the introduction of SPSS Statistics Subscription (SPSS Statistics), organizations, groups and individual users are now able to leverage predictive analytics capabilities to deliver the maximum amount of value to the end user. The simplicity of SPSS Statistics resonates throughout the customer experience – making it easier for everything from downloading software, to managing licensing, to updating your software. Additional features of SPSS Statistics Subscription include:

• Intelligent add-ons extend the capabilities of the license to meet the needs of users of all abilities.
• A monthly payment option offers the flexibility to leverage SPSS Statistics when needed.
• Highly secured and easily scalable with a simplified renewal process.

SPSS Statistics is the world’s leading statistical software used to solve business and research problems by means of ad hoc analysis, hypothesis testing, geospatial analysis, and predictive analytics. It also provides organizations the ability to quickly understand large and complex datasets by using advanced statistical procedures that ensure high accuracy for deeper insights, flexible deployment options and more business agility.

IBM SPSS Statistics Subscription will be available for trial and purchase on March 28 at https://www.ibm.com/us-en/marketplace/spss-statistics-subscription

Contact(s) information
Joseph Gallo
IBM Media Relations
917-421-8834
jgallo@us.ibm.com
www.ibm.com

Source: IBM

Tags: IBM