Staff Performance Assessment that empowers and unlock workforce potential
The client is a Healthcare provider in the US who specialize in hospital services, testing services, mental health services, women’s health services, specialty services, and substance abuse work in the community deliver a healthcare experience designed around your individual needs. The healthcare client offers comprehensive, state-of-the-art medical care and is committed to safety and delivering patient care excellence.
The healthcare client wanted to revolutionize their performance evaluation system and needed a solution that could analyze employee data & predict employee performance, offer unbiased decision-making capabilities and recommendations to improve the employee performance. Sparity quickly developed and trained two predictive models that can predict employee performance based on various factors as inputs and help make meaningful decisions for employees.
The healthcare client needed to overcome most of the issues found in traditional review methods as their current evaluation system was dealt with by humans. Sometimes humans default to their emotions, biases, prejudices, etc., that could negatively impact the organization’s growth and lead to inefficient decisions making. Additionally, managing and analyzing vast quantities of HR data manually is time-consuming and prone to errors. The client needed a solution to help them eliminate inefficiencies/ negatives that lower employee morale with a relatively easy to employ framework.
Applied data clustering for evaluating the employee’s
performance and decision making process and imported
python libraries — NumPy and pandas
As there are numerous categorical values,
used the Label encoder utility class from scikit-learn
and transformed those values into numerical.
Built and trained two predictive models – Random Forest Classifier and decision tree Classifier algorithm that predicts employee’s performance based on various input factors
Decision tree classifier help to better analyze,
visualize and interpret the situation better by
taking different variables into account
Sparity developed and implemented a predictive performance evaluation model leveraging machine learning algorithms, i.e., clustering algorithm and decision tree of data mining technique to evaluate the employee performance and the decision-making process. The predictive model considered different performance evaluation factors like personality, punctuality, tact, oral expression, Quality of Work, perseverance, public relations, observance of security measures, capacity to guide & train subordinates, attitude towards superiors, moral integrity and more to provide actionable insights and predict and evaluate the performance of the employees.
Reduced employee attrition rates with proper assessment and recognition of employees and maximized productivity
Built model that predicts the employees’ performance for the following year and enabled easy advancement and promotion determinations
Capable of measuring over and underutilized resources and also able to identify relevant training needs for a specific period of time
Minimized the bias that’s inherited in the old-school method of performance management and enhanced assessment approach
The impact we’ve had
At Sparity, we’ve served as a strategic partner for hundreds of the fastest-growing B2B companies.
Learn more about how we help our clients accelerate their growth.
Energies and Utilities
Banking & Finance
Let’s get started
Need innovative business solution as per your business requirement?
Related Case Studies
The healthcare client aspired to revive and enhance its diagnosis and screening approach & chose ...
The real estate client picked Sparity for carrying out API testing solutions against their API .....
In the existing setup, the client lacked a 360 - degree view of customer, regarding behaviour, .....
The retail firm approached Sparity, to help them with their contact centres, fraud alerting module….
News & media company approached Sparity to upgrade and redesign an established local news portal ...
The client approached Sparity intended to automate their manual research process of a qualitative ….
The healthcare client needed to overcome most of the issues found in traditional review methods ....
Healthcare Client is a Multi super-specialty Hospital, that is state of the art, purpose- built ....
The healthcare client wants to address the inefficiency in diagnosis & Sparity implemented a deep...
The healthcare client reached Sparity intended to analyse troves of unstructured patient data from …
The challenge was to improve, both the delivery and the availability, of standard medical assets ...
The healthcare client was looking for solution that address patient churn-rate and come with better…
The client wanted a healthcare app development company to create a mobile application designed to...
The healthcare client wanted to address gap for primary healthcare in rural areas. Sparity designed…
The entertainment startup, needed to build a robust architecture platform that could scale to an....
Boomi enabled Sparity to orchestrate the customer experience by integrating ERP & other e-commerce …
The Retail client approached Sparity with an intent to digitally transform their online platform to…
The healthcare client intends to enhance patient care, in non-urban community & Sparity developed ….