20 Jan 2023 - 10 min read

UI Design

Product design for internal data analytics project. Working across the enterprise data teams to develop key UX touch points.

Company logo Client: Adavinta Project: DataHub
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Here at Seam, we pride ourselves on the exceptional work we do for our clients, and one such example is the recent project we undertook for an internal data analytics platform. We collaborated with enterprise data teams to develop key user experience (UX) touchpoints, ensuring seamless integration and efficient data analysis for users at all levels.

Our client is a renowned enterprise with a massive data repository, making data-driven decision-making essential to their operations. With multiple teams involved in data analysis and interpretation, a central internal platform that caters to their needs was crucial. The challenge was to create a user-friendly, interactive product that enabled all stakeholders to access and understand relevant data with ease.

We were tasked with designing an internal data analytics platform that featured a user-centric interface while meeting the specific requirements of each data team. To accomplish this, we set the following objectives:

  • Develop a clear understanding of the client's data analytics workflow and identify key UX touchpoints.
  • Create an intuitive and easy-to-navigate interface that caters to users with varying technical expertise.
  • Implement interactive data visualization tools to aid in data exploration and interpretation.
  • Ensure seamless integration with existing data infrastructure and third-party tools.

Our design process began with conducting user research to gain insight into the specific needs of each data team. We interviewed team members, mapped their workflows, and identified crucial UX touchpoints that needed to be addressed in the platform design.

Next, we developed wireframes and interactive prototypes, continually iterating on user feedback to refine the design. Our focus on a user-centric interface resulted in a simple, clean design that facilitated efficient navigation and reduced the learning curve for all users.

We then integrated interactive data visualization tools to help users explore, analyze, and interpret data effortlessly. These tools included customizable charts, graphs, and data tables that supported real-time collaboration and allowed users to derive actionable insights.

Finally, we ensured that the platform was seamlessly integrated with the client's existing data infrastructure and supported the use of third-party tools for enhanced analysis capabilities.

Project Outcomes and Success

The end result was an intuitive, powerful data analytics platform that elevated the data analysis experience for our client's teams. With our design, users now have access to a centralized hub that caters to their specific needs and supports efficient, data-driven decision-making.

Our work on this project exemplifies our commitment to creating user-centric designs that drive success for our clients. By collaborating closely with enterprise data teams, we were able to develop a tailor-made solution that aligned with the unique requirements of each team while enhancing the overall user experience.