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.

• Visual drag-and-drop workflow is available in WPS Analytics.
• End-users can access and visualize data with self-service.
• It includes data discovery and governance capabilities.
• Additionally, it's compatible with third-party applications such as R and APIs.

• Using machine learning and natural language to analyze data saves time and effort.
• Standard reporting and business intelligence help us reduce workload and make data-driven decisions.
• Drag-and-drop workflow saves time when different languages like SQL and SAS make it easier to code and prepare data.

Zoho Analytics and Tableau Desktop

SAS Visual Analytics, Power BI For Office 365 (discontinued), Google Cloud Virtual Private Cloud (VPC)

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.

• Interactive modeling tools.
• Collaboration capabilities: Help share workflows.
• Drag and drop functionality for workflow automation.
• Data discovery and governance.

• Model analyser help us choose the best that suit our needs.
• Drag and drop workflow reduce time when coding.
• Data prep is simplified by mixture of languages such as SQL and SAS.

datapine

Amazon Pay, ADP DataCloud, Twilio SendGrid, IBM FlashSystem 7200

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.

• Interactive modeling tools enable us to save time when analyzing data since we reuse models in real-time.
• WPS Analytics offers multiple natural languages such as SAS, SQL, R and Python.
• Self-service capability help end users to access and visualize data on their own.
• No code and low code environment with drag and drop workflow.

• Reduction in operational costs since no data scientists are involved.
• Time and effort have been reduced when analyzing data by using machine learning capabilities and natural language.
• We have reduced time to value by bridging data processing to taking actions gap.

Tableau Desktop

TIBCO BusinessEvents, Amazon Connect, Slack

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.

• Simple visual drag-and-drop workflow capabilities.
• Self-service portal: This equips end-users with data visualization that help in analyzing data without involving third-party service providers.
• Cloud analytics capabilities: predictive modelling, augmented analytics etc.
• BI standard and Ad-hoc reporting tools.
• Integration with R, APIs and other applications.

• Reduction in operational costs for analyzing data.
• Machine learning capabilities help us automatically analyze data without involving any manual process.
• Standard reporting enhanced by business intelligence helps us reduce workload while viewing company financial position to make data-centric decisions.

TIBCO Spotfire, Tableau Desktop, Microsoft Power BI and IBM Cognos Analytics

SAP Litmos, Tovuti LMS, SAP HANA, Qlik Analytics Platform, WordPress