World Programming Recognised by Gartner as a Cool Vendor in Data Science
Industry Firm Gartner place World Programming in 2014 Data Science Cool Vendor list evaluated on its WPS Software

LONDON, UK - May 15, 2014 - World Programming, a market leader in heavyweight data processing and analytics, today announced that World Programming has been named in Gartner’s 23 April 2014 report "Cool Vendors in Data Science, 2014".

Gartner say in their summary of the report: "Data science and advanced analytics are emerging as a critical differentiator in many organizations. Gartner's first Cool Vendors in Data Science report helps analytics leaders find vendors that provide more flexibility and openness into the advanced analytics marketplace."

Sam Manning of World Programming says: "We are delighted to receive this recognition by such a respected and trusted organization. We believe this gives buyers of World Programming’s WPS software confidence in their decision, and we believe it reinforces World Programming's position as a key player in this important and growing market. World Programming’s WPS software brings choice".

The strong support within the WPS software for the SAS Language benefits from the recent addition of support for the R Language. Customers are able to do the majority of their data processing work with the industrial strength, highly versatile SAS Language and can dip into the R Language as required within a single coherent analytics environment.

The SAS Language remains the stand-out language for data scientists over the full data processing life-cycle from ETL, data cleansing and data preparation through to basic analytics, advanced analytics and presentation. The R Language can provide support for a wider range of specialist and academic statistics where data volumes and performance are less critical.

The recent additions to the WPS software of multi-byte data support and translations of the WPS software into Japanese and French languages underlie a commitment to broaden the reach of the software and to provide the optimal tool for users in non-English speaking countries. Support for other languages will follow.

WPS software is frequently used by large organizations in major data centers, data warehousing environments, grid facilities and cloud providers. It is used interactively by data scientists, analysts, actuaries and statisticians as well as for scheduled and production analytics.

The focus of World Programming's software engineering team remains on quality, reliability, flexibility and performance. Household names around the globe rely on WPS to run their mission critical business processes and to gain market advantage. Customers are looking to World Programming to provide the tooling to derive maximum business advantage from their data and to create their analytic applications. All industries can benefit including insurance, banking, retail, telecoms, transport, health, government and many more.

Additional Information

About Gartner

The Gartner Cool Vendors in Data Science, 2014 report is available at:

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About World Programming

World Programming produces the WPS industrial analytics and data science platform supporting the SAS language and R on workstation, server, cloud, grid and mainframe systems. World Programming has built a reputation for quality, reliability, performance, customer service and value for money. Leading organizations around the globe in every industry use WPS software in production.

For further information about World Programming and WPS Software please visit https://www.worldprogramming.com/us/home

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