UX Design Case Study: 1Clearsense Reference Data Crosswalks

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Project Overview

Goal: To design a user-friendly and informative tool that enables users to easily compare and map reference data across different systems within the 1Clearsense platform.

Target Audience: Data analysts, data scientists, and data quality professionals.

Challenges

• Complex data: Reference data can involve various attributes and matching criteria.
• Large datasets: The tool must be able to handle significant volumes of data.
• Technical terminology: The concept of reference data crosswalks can be unfamiliar to some users.

Design Approach

1. User Research:
• Interviews: Conduct interviews with target users to understand their needs, pain points, and expectations.
• Surveys: Gather feedback on existing reference data tools and identify areas for improvement.
2. Information Architecture:
• Organize data: Structure the tool to present reference data in a logical and intuitive manner.
• Prioritize key metrics: Highlight the most important metrics for the target audience.
3. Visual Design:
• Clear and concise: Use simple and effective visualizations to communicate complex data.
• Consistent branding: Adhere to the 1Clearsense brand guidelines to maintain a cohesive experience.
4. Interaction Design:
• Filtering and sorting: Allow users to filter and sort data based on various criteria.
• Drill-down functionality: Enable users to explore specific crosswalks in more detail.
• Export options: Provide options to export data in different formats (e.g., CSV, Excel).

Key Features

• Interactive data comparison: A tool for comparing reference data across different systems.
• Mapping capabilities: Allow users to map data elements between different systems.
• Data quality metrics: Provide information about the quality of reference data.
• Automation: Automate the process of identifying and mapping reference data.
• Integration with other tools: Integrate with other 1Clearsense products to provide a seamless user experience.

Design Outcomes

• Improved data consistency: Ensure that reference data is consistent across different systems.
• Enhanced data quality: Identify and address inconsistencies in reference data.
• Increased efficiency: Automate the process of comparing and mapping reference data.
• Better decision-making: Provide users with the information they need to make informed decisions about data management.

Example Visuals

By providing a user-friendly and informative tool for reference data crosswalks, 1Clearsense can help users improve the quality and consistency of their data.