5 Best Workforce Analytics Software

So, you are in the market for workforce analytics software.

Ideal, because in this article we have our compilation list for our top picks, and we compare the features and pricing for you. 

If you just want the best choice, we’ve added that right at the top of the article as this was what is most requested by our customers. So, that’ll be the “can’t go wrong” option. 

Otherwise, feel free to explore all the options we’ve reviewed on the market to find something that might fit you a little better.

Enjoy the list!

The Best Workforce Analytics Software Specifically.

Workforce Analytics focuses on improving the inner functioning of your business by assisting in talent acquisition and workforce optimization. A Workforce Analytics platform that offers data-driven insights and comprehensive interpretation of the HR data will be the perfect fit for this category. Have a look at the products below to choose the best Workforce Analytics software:

1. SiSense

SiSense essentially lets you embed analytics into any application or workflow to make critical business decisions. With SiSense, you can build customized experiences leveraging code-first, low-code and no code to create transformational workflows. SiSense provides you with actionable insights to empower your business journey.

SiSense Features

Here are some exclusive features of SiSense:

Data Modeling: SiSense lets you join and blend data together without specialized data engineering teams or platform-specific technologies. It enables data teams to easily ingest, prepare, transform, visualize and augment complex data using cloud data warehouse and development workflows.

Visualization: With SiSense, you can track metrics or embed dashboards, widgets and filters into applications. Its intuitive dashboard exploration empowers everyone to build, explore and deliver insights. SiSense offers smart calculation and charting options based on your data set.

Explainability: SiSense takes the guesswork out of your analytic insights, helping you quickly assess your data outcomes with easy-to-interpret analytics. You can visually summarize statistically powerful insights and surface them via new automatically created widgets. Exploration paths leverage machine learning to uncover new insights that otherwise would remain hidden.

Embedding: SiSense lets you embed analytics within your products and applications to create a seamless analytical experience. You can embed dashboards and widgets with an iFrame HTML tag if you have no coding knowledge. Additionally, SiSense helps you rapidly build an integrated user experience that embeds analytics.

Actionable Intelligence: With SiSense's powerful AI-enhanced analytics, infusing intelligence into your business workflows is simple. You can do predictive analysis through forecasting and understand patterns in your data. Moreover, SiSense's machine learning algorithms continuously run to detect anomalies and variations in your business.

SiSense Pricing

SiSense offers custom pricing options for its platform. It claims to be committed to “no-surprise” pricing to create a customized solution for your budget and business needs.

2. RapidMiner

RapidMiner recently merged with Altair to provide a superior experience. It helps you make informed business decisions by uncovering hidden patterns or trends. RapidMiner amplifies the collective impact of your data and provides you; with a competitive advantage.

RapidMiner Features

Here are some exclusive features of RapidMiner:

Data Engineering: RapidMiner ensures your data is analytics-ready before jumping into model creation. It allows you to efficiently explore, prep, catalogue and pipeline your data. Moreover, you can use over 30 Interactive visualizations to identify patterns, trends and distributions within your data set.

True Team Transparency: RapidMiner provides a central source of truth for your projects and makes results tangible and comprehensive. Additionally, it simplifies model ops to generate a real and maximum business effect. With RapidMiner, you can instil confidence in your work using explainable AI.

ML Ops: RapidMiner allows you to operationalize your models faster and continuously monitor them over time to maintain performance. You can use RapidMiner's containerized architecture and code-free model ops to avoid deployment friction. It helps you go beyond traditional accuracy stats by quantifying all factors impacting your business.

Model Building: With RapidMiner, you can empower everyone in your organization to create machine-learning models through a visual or automated approach. RapidMiner offers over 1500 algorithms and functions that support your business analytics requirements and helps you uncover new techniques.

Collaboration and Governance: With RapidMiner, you can promote real-time communication and the widespread reuse of networks. RapidMiner's project-based framework allows you to structure and organize all the work relevant to a given use case. RapidMiner facilitates collaboration regardless of your team member's data science skill level.

RapidMiner Pricing

RapidMiner offers an on-demand and customizable pricing option for its platform.

3. PowerBI

With PowerBI, you can quickly connect to data and prepare, remodel or visualize it. PowerBI mainly works on business intelligence and helps you create amazing data experiences. You can get the most out of your big data investments by connecting your data sources and sharing insights across the organization.

PowerBI Features

Here are some exclusive features of PowerBI:

Unify Self-service and Enterprise analytics: PowerBI meets both self-service and enterprise data analytics requirements. You can access powerful semantic models, an application lifecycle management toolkit, open connectivity framework and pixel-perfect paginated reports. PowerBI is a flexible platform that serves all business industries.

Industry-leading AI: With PowerBI, you can take advantage of the latest advances in Microsoft AI to build machine learning models. It helps you swiftly find insights from structured or unstructured data. PowerBI has the best-in-market AI capabilities and amplifies your business decisions through quality data insights.

Improved Publishing Efficiency: PowerBI allows you to quickly identify differences and move content from development and testing to production with confidence. Additionally, it ensures your datasets are ready for analysis by preparing them beforehand. PowerBI provides unrivalled publishing efficiency.

Analytics Streaming: PowerBI provides you access to real-time analytics from factory sensors or social media sources. It helps you anticipate negative sentiments around your business or uncover hidden trends so you can make timely business decisions to improve your brand image.

Actionable Insights: PowerBI connects with the Microsoft business ecosystem to help you turn your data into a competitive edge. With PowerBI, you can connect, combine and analyze your entire data estate. Additionally, PowerBI offers unparalleled Excel interoperation by connecting excel data models and reports to its dashboard.

PowerBI Pricing

PowerBI offers 2 Pricing options for its business intelligence and analytics platform.

The “Pro” plan is priced at $9.99/user/month and offers live dashboards, self-service analytics and insight sharing.

The “Premium” plan is priced at $20 /user/month and offers all available features of PowerBI.

4. Knime

Knime is used worldwide to solve complex problems around human resources, diversity and talent-related data for the company. Knime helps you productionize data science and implement the strategies faster for better impact. With Knime, you can gain valuable hidden insights by merging or transforming different data sets.

Knime Features

Here are some exclusive features of Knime:

Workflow Builder: Knime lets you create visual workflows for data analytics using its drag-and-drop graphical interface. You can model each step of data analysis, control the flow and ensure your work is current. Knime's workflow builder helps you automate data merging and collection so you can focus on analysis and reporting.

Data Shaping: With Knime, you can derive statistics, including mean, quantiles and standard deviations. You can also clean data through normalization, value handling or conversion. Knime helps you detect out-of-range values with its anomaly detection algorithms. Additionally, Knime lets you extract and select features to prepare your data sets.

Machine Learning and AI: Knime allows you to build machine learning models for classification, regression or clustering. You can optimize the model performance with hyperparameter optimization, bagging or building complex ensembles. Moreover, Knime enables you to validate models by applying performance metrics.

Data Insights: With Knime, you can visualize your data in classic or advanced charts. It displays the summary statistics in the Knime table and lets you filter out irrelevant entries. Additionally, you can store processed data or analytics results and export reports to share them with stakeholders.

Execution Scaling: Knime allows you to build workflow prototypes so you can explore various analysis approaches. You can inspect and save intermediate results to ensure the efficient discovery of new solutions. Moreover, Knime lets you exercise the power of in-database processing on Apache Spark.

Knime Pricing

Knime offers an on-demand pricing quote for its subscription plans. You can click “Pricing” and tap “Contact us”. Next, fill out the required form, and Knime's sales team will contact you.

5. SAP

SAP Analytics Cloud brings together analytics and planning to help you derive unique insights. You can accelerate deployments with pre-packaged best practices for your industry. SAP allows you to simulate any scenario and generate plans from predictions. It drives agile business decisions, helping you scale faster.

SAP Features

Here are some exclusive features of SAP:

Analytics and BI: SAP's intuitive self-service analytics helps you explore data across the organization and deliver insights at the decision point. You can use self-service data modelling to set KPIs and hierarchies while automating data. Additionally, SAP offers interactive visualizations to discover insights and inspire audiences.

Enterprise Planning: SAP drives better business outcomes by creating and linking your financial and operational plans. You can use predictive planning to anticipate business needs and stay agile with forecasting and machine learning. Moreover, SAP allows you to modify versions of the planning model for data-driven budgeting.

Composable Analytics: SAP allows you to tailor analytics and planning applications to meet unique business requirements. You can increase application developer productivity with reusable widgets and flexible APIs. SAP enables users to easily customize and compose analytics applications.

Prebuilt Business Content: SAP offers prebuilt best-practice content packages for businesses to quickly help them get started with data analytics. You can leverage end-to-end tailored packages to work with recommended SAP data sources. Additionally, it helps you realize results quickly by accessing documentation of KPIs.

ESG Reporting and Sustainability: SAP helps you deliver environmental, social, and economic impact with actionable insights and accurate reporting. You can deliver automated and auditable ESG reporting by analyzing your business data. SAP allows you to drive targeted action for sustainability performance.

SAP Pricing

SAP offers 2 Pricing options for its data analytics platform.

The “Business Intelligence” plan is priced at $36/user/month and offers automation, actionable insights and augmented analytics.

The “Planning” plan has an on-demand pricing quote and offers integrated planning, forecast automation and scenario modelling.

Why use Analytics Software at all?

Most of the business data like; videos, customer chats, or IoT network input is complex and unstructured. This data is a goldmine for your business, but only when you can use it. Modern data analytics systems that are powered with AI, machine learning and advanced database technologies can help you comprehend and analyze big data.

You can use the insights from data analytics software to make confident and faster decisions. Instead of being buried under an Everest of big data, intelligent technologies like data analytics platforms help you take that mountain and break it down into manageable, organized blocks.

Why should you use Workforce Analytics Software?

As a core component of strategic human resource management, Workforce Analytics is the database approach to gaining insights about how HR can better align people's processes with desired business outcomes.

Thanks to modern advances in; data storage and processing power, businesses have access to more data than ever before. This accumulation of data enables the HR department to make decisions based on evidence rather than intuition.

Workforce Analytics can show managers what is or isn't working, giving them the ability to test out solutions and measure results. With the Workforce Analytics software, managers can conduct hiring, store employee information, track performance and administer benefits.

Additionally, many businesses use Workforce Analytics to measure the success of diversity, equity and inclusion efforts, employee engagement and learning and development. Workforce Analytics can help you identify bottlenecks in the hiring process, and sourcing stats can show you where your applicants find your job listings.

Best Workforce Analytics Software, A Summary

Workforce Analytics solutions can help you run applicant funnel reports to choose the best candidate during the hiring process. Additionally, it optimizes your ongoing workforce by helping you distribute talent adequately according to the employee's strengths and the project requirements.

SiSense offers a dedicated Workforce Analytics and BI module, which helps you gain visibility into your workforce and hiring operations. It is our suggested pick for the best Workforce Analytics platform. Visit the website to get started.