Altair SLC

WPS Analytics is a unique platform that works for data engineers, analysts, data scientists, modelers, and DevOps. We have relied on this product for years, primarily as a replacement for Base SAS, and we have found it virtually flawless. It offers many data integration and analysis packages and supports SAS, SQL, Python, and R in the same interface. When I've run into issues or needed additional guidance, the support team has always been quick to respond and helpful. It enables the user to visually design processing strings through configurable drag and drop flow, allowing the user to write calls manually.

WPS Analytics allowed our company's business users to keep using their existing programs while getting similar results with much less learning time. It's a great accomplishment when software for business users is changed—excellent relationships with providers and other salespeople. As a SAS user, I needed an interpreter for the SAS language, and WPS has more packages and a lower price than any other company I could find, so I decided to go with it.

WPS Analytics is a single unified analytics solution that we have employed in some departments at my current corporation. It enables me to create data-focused applications with zero or low coding and visual workflows.

For now coders, I would emphasize them to use drag and drop functionality. Otherwise, WPS Analytics is a robust tool for app development and data visualization that offers multiple languages such as SAS, SQL, R, and Python.

WPS Analytics is utilized in a few selected departments to unify data in one central source from disjointed data centers. Implementation was super easy and didn't require third-party service providers to deploy.

WPS Analytics best suits all business users that require to access old and new data from multiple sources such as Hadoop, data warehouses, WPS & SAS datasets into one single solution.

It's almost two years now ever since I started using WPS Analytics at the workplace in my current organization. WPS Analytics [hasn't been] used company-wide, but nearly half of company units utilize it to perform several processes like predictive analysis, data preparation, ETL, data discovery, and modeling.

WPS Analytics had helped us develop, deploy and govern data analytics applications across the organization in a central location. This comes along with tons of benefits such as data quality improvement by removing duplication.