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CI-CU Data Storytelling Assessment

Chirst-CleverInsight Datastorytellers Community

Usecases

  • Hospital Readmission Rates: Calculate and analyze hospital readmission rates. Identify factors that contribute to high readmission rates and propose strategies to reduce them. Dataset

  • Control Attrition: ACME Corp Hospital is facing high attrition of employees. Identify factors that contribute to attrition and stop attrition and also try to retain the employees. Dataset

Evaluation Criteria

Important Note

Usage of Machine Learning, Deep Learning or NLP models are not allowed. The analysis should be only purely in-depth exploratory, inferential or descriptive in nature.

  1. Data Cleaning and Preparation: Check if they handle missing data, outliers, and data types appropriately.

  2. Data Analysis: Ensure they use appropriate statistical measures and techniques but not any machine learning models.

  3. Factors Identification: Identifies factors contributing to high readmission rates. This may involve using data visualisation, statistical tests.

  4. Insights and Recommendations: Propose strategies to reduce readmission rates or reduce attrition, backed by evidence from the data analysis.

  5. Data Visualization: Examine the use of data visualization techniques to present findings effectively. Visualisation should be clear, insightful, and support the analysis.

  6. Communication: Communicate your findings and recommendations in a clear and concise manner, suitable for non-technical stakeholders.

Submission Guidelines

  • Pick any one usecases
  • Do a thorough analysis on the data from purely a detective mindset, without using any machine learning or deep learning models.
  • Eg:
    • Usecase 1: Find factors which are stopping patients getting readmitted using in-depth analysis and come up with action plans to increase readmission.
    • Usecase 2: Find factors which are responsible for employees leaving the organisation and create a action plan to stop attrition and improve retention.
  • Create interesting data story with supporting data points, visualisations and action plans into a deck to present.
  • Create a 60-120 max second video of yourself with supporting deck, explaining your key finding with right action plan to be taken.
  • Upload the video into youtube as unlisted video and submit the link with your basic information in the following link.

Tips on what impresses us.

Submission Form:

Apply Now

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