Data Design
UI/UX
Data Analysis
Redesign Dashboard, Johnson & Johnson
Intro
Johnson and Johnson, a global healthcare company, partnered with our team to redesign their dashboards in Tableau and Power BI. The goal was to enhance data visualization, improve user experience, and provide actionable insights through descriptive and predictive analysis. This case study outlines the project objectives, methodology, challenges, and the resulting impact of the dashboard redesign.
Duration
12 weeks, 2021
Role
I worked as a UX & Data Designer, collaborating closely with the Project Leads, BA's and team of developers.
Goals and Objectives:
Design and Development: Our team aimed to create visually appealing and user-friendly dashboards in Tableau and Power BI that would effectively communicate complex data to stakeholders.
Revamping Dashboards: The existing dashboards were redesigned to align with modern design principles, incorporating intuitive navigation, clear data visualizations, and improved functionality.
Branding: We focused on incorporating Johnson and Johnson's branding elements into the dashboard design, ensuring a consistent and cohesive visual identity.
Descriptive Analysis: The dashboards were designed to perform descriptive analysis, enabling users to explore and understand key metrics, trends, and performance indicators.
Predictive Analysis: Advanced analytics techniques were implemented to provide predictive insights, enabling stakeholders to make data-driven decisions and forecast future outcomes.
Data Mapping: Our team ensured accurate data mapping, connecting relevant datasets to provide a comprehensive view of the company's operations and performance.
Building Business Logics: Business logics and calculations were integrated into the dashboards to derive meaningful insights and support decision-making processes.
UX Research: User experience (UX) research was conducted to understand the needs, preferences, and pain points of the end-users, ensuring the dashboards met their expectations.
Data Testing: Rigorous data testing was performed to ensure data accuracy, integrity, and consistency across the dashboards.
Collaboration with KPMG, Deloitte, and other teams: Close collaboration was maintained with various teams, including KPMG and Deloitte, to gather requirements, align objectives, and ensure a seamless integration of data and insights.
What worked for us:
Requirement Gathering: Extensive consultations were conducted with Johnson and Johnson stakeholders and partner teams to understand their specific needs and expectations from the dashboards.
Design and Development: The dashboards were designed iteratively, incorporating user feedback and stakeholder input. Data visualization best practices were followed to present complex information in a visually appealing and easily understandable format.
UX Research: User interviews, surveys, and usability testing were conducted to gather insights into user preferences, pain points, and expectations, which guided the design and functionality of the dashboards.
Collaborative Approach: Regular meetings and communication with KPMG, Deloitte, and other teams ensured a collaborative approach, fostering alignment and effective integration of data and insights.
Testing and Refinement: Rigorous testing was performed to validate data accuracy, functionality, and usability. Iterative refinements were made based on feedback received during the testing phase.
Impact:
Improved Data Visualization: The revamped dashboards presented complex data in a visually appealing and easily interpretable manner, enabling stakeholders to gain actionable insights quickly.
Enhanced User Experience: The user-centric design approach and UX research led to dashboards that were intuitive, user-friendly, and met the specific needs of Johnson and Johnson's stakeholders.
Data-Driven Decision Making: The descriptive and predictive analysis capabilities of the dashboards empowered stakeholders to make informed, data-driven decisions, resulting in improved operational efficiency and strategic planning..
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