ThriveSparrow
ThriveSparrow, an employee experience platform for HR professionals, is a solution that focuses on the employee's perspective. ThriveSparrow aims to transform the workplace into a thriving eco-system where employee experience meets organization growth. What makes ThriveSparrow unique is its seamless integration of user experience, actionable insight, and holistic employee-engagement features.
The engagement surveys module is at the core of ThriveSparrow. It offers a wide variety of customizable surveys including wellness and pulse surveys. These tools enable HR professionals to monitor employee engagement and satisfaction effectively. Kudos, its peer recognition module is more than just an employee recognition platform. It is an integrated system which correlates with performance metrics and offers a 360° view of each employee’s contributions.
The heatmap of employee engagement scores and the actionable analytics dashboard are two other features that stand out.
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iDenfy
All-in-one platform for identity verification, fraud detection, and compliance.
iDenfy uses a three-layer process to verify identity. This protects startups, financial services, gambling, streaming, ridesharing and other digital services against identity fraud. The process protects companies from the most dangerous forms of identity fraud.
iDenfy offers a variety of fraud prevention services, including business verification, proxy detection and fraud scoring, AML screening, monitoring and AML screening, NFC verification and other fraud prevention services.
iDenfy was founded before AML, GDPR, and fraud regulations were implemented. It pioneered the identity verification process. The company covers the entire ID verification process for users, combining AI biometric recognition with manual human checks to verify they are real users.
Use our ID verification software to save up to 40% on identity verification services. Save up to 40% on identity verification costs by paying only for successful ID verification.
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Quark Analytics
In a secure and manageable setting, users can swiftly derive insights from their data. Data can be collected in various formats and types, enabling the creation of new variables and the selection of specific cases of interest. Through effective data analysis techniques, both numerical and categorical variables can be thoroughly examined and analyzed. Results can be presented either in tabular form or through graphical representations. Additionally, users can investigate the relationships between different variables and assess the significance of these relationships. Various statistical tests, such as Pearson and Spearman correlations, Chi-Square tests, T-Tests for independent samples, Mann-Whitney, ANOVA, and Kruskal-Wallis, can be employed to achieve this. Moreover, the most commonly used measures of scale reliability can be easily selected and calculated. One can also verify the consistency of dimensions in the dataset. Utilizing measures like Cronbach's Alpha—both raw and standardized, with or without item deletion—Guttman’s six, and Intraclass correlation coefficients (ICC), provides further insights into the reliability of the data. This comprehensive approach ensures a thorough understanding of the data's structure and relationships.
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Oriana
Oriana for Windows is specifically designed to compute the unique statistics needed for circular data, such as angles or directions expressed in degrees, as well as time-related data like the hours of the day, days of the week, and months of the year. The software provides a range of analytical tools that encompass fundamental statistics, including mean vector calculations and confidence intervals, along with single sample distribution tests like Rayleigh's test, as well as pairwise and multisample assessments such as the Watson-Williams F-Test and chi-squared tests, in addition to examining pairwise correlations. Additionally, it offers various graphical representations of your data, such as rose diagrams, circular histograms, and wind roses, which help in revealing underlying patterns effectively. If your work involves analyzing directional data measured in degrees or you are investigating cyclical occurrences throughout the day, week, month, or year, then you are dealing with circular data that necessitates specialized statistical methods. Therefore, Oriana serves as an essential tool for anyone looking to delve into this type of analysis and visualize their findings clearly. By utilizing Oriana, researchers can uncover significant trends and insights from their circular datasets.
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