Altair SLC

Score9.2 out of 10

9 Reviews and Ratings

What is Altair SLC?

Altair SLC (formerly the WPS industrial analytics platform, acquired by Altair in late 2021) is designed for data science and heavyweight data processing with the languages of SAS and R. Best known for its SAS language compiler, the software includes advanced graphical user interfaces, robust, high-performance data processing and production-ready application frameworks.

Categories & Use Cases

Report Delivery Scheduling
Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.
Category average: 8
Predictive Analytics
Predictive Analytics is the ability to build forecasting models based on existing data sets.
Category average: 7.5
Customizable dashboards
Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.
Category average: 8.7

Publish to Web
Category average: 8.2
Publish to PDF
Category average: 8.9
Pre-built visualization formats (heatmaps, scatter plots etc.)
Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.
Category average: 8.8

Khairul Islam Tonmoy View profile

Software Developer in Product Management at STAR TECH IT solution Ltd (11-50 employees employees)

Use Cases and Deployment Scope

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.

Pros

Workflow visualization, data prep, and advanced analytics help us analyze company data.
High-performance data processing powers secure data sharing and distribution.
Visualizing data with WPS Analytics saves time on business decisions and self-service portals.

Cons

SAS functionality has to lack.
There's no online guideline, making it hard to solve problems.

Most Important Features

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.

Return on Investment

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.

Alternatives Considered

Zoho Analytics and Tableau Desktop

Other Software Used

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

Adam Collier

Account Executive in Finance and Accounting at Columbus Crew SC (51-200 employees employees)

Use Cases and Deployment Scope

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.

Pros

WPS Analytics is powered with high performance data processing engine.
Reusable data models save finances and time.
Self-service data analyzation portals.

Cons

I can't complain at the moment since the vendor support team and online WPS communities help me get rid of issues rapidly.

Most Important Features

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

Return on Investment

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.

Alternatives Considered

datapine

Other Software Used

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

Jonas Harmer

Business Development Specialist in Research & Development at Gigg Inc. (11-50 employees employees)

Use Cases and Deployment Scope

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.

Pros

Workflow visualization.
Data preparation, modeling, analyzation and visualization.
With WPS Analytics, it has been effective to make data-centric decisions by using machine learning capabilities.

Cons

Currently, I barely encounter challenges when using WPS Analytics although I don't use it on a daily basis. There's no functionality or feature that needs more improvement.

Most Important Features

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.

Return on Investment

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.

Alternatives Considered

Tableau Desktop

Other Software Used

TIBCO BusinessEvents, Amazon Connect, Slack

Stefanie Smolinsky

Data Analytics Manager in Finance and Accounting at Startup Grind (11-50 employees employees)

Use Cases and Deployment Scope

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.

Pros

Data preparation and advanced analytics help us to gain insights on company data.
Data sharing and distributing securely.
Visualization of data with WPS Analytics saves time when making business decisions.

Cons

WPS Analytics does not have on-premises applications for PC, tablets and the worst part is a mobile application, which would help end-users visualize data on the go from anywhere.

Most Important Features

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.

Return on Investment

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.

Alternatives Considered

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

Other Software Used

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

Microsoft BI (MSBI)

IBM SPSS Statistics

SAS Viya

Altair SLC

What is Altair SLC?

Categories & Use Cases

Key Features

Top Performing Features

Report Delivery Scheduling

Predictive Analytics

Customizable dashboards

Areas for Improvement

Publish to Web

Publish to PDF

Pre-built visualization formats (heatmaps, scatter plots etc.)

Reviews

Use Cases and Deployment Scope

Pros

Cons

Most Important Features

Return on Investment

Alternatives Considered

Other Software Used

Use Cases and Deployment Scope

Pros

Cons

Most Important Features

Return on Investment

Alternatives Considered

Other Software Used

Use Cases and Deployment Scope

Pros

Cons

Most Important Features

Return on Investment

Alternatives Considered

Other Software Used

Use Cases and Deployment Scope

Pros

Cons

Most Important Features

Return on Investment

Alternatives Considered

Other Software Used

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