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Case study

Redesigning healthcare dashboards for seamless data interpretation and usability5.0 rating5 Stars Rated On Clutch

Sagility

Industry

Healthcare & Life Sciences

Services Used

Power BI

Region

North America

Engagement Model

Managed Analytics

Function/Department

Accounting and Finance, Customer Service and Support, Human Resources (HR), Procurement and Purchasing, Sales and Business Development, Strategy and Planning

Summarize with AI:

About Client

  • Headquartered in Westminster, Colorado, the client is a leading hi-tech healthcare solutions provider with over 10,000 employees. 
  • They majorly operate with US-based payers and partners to better operations, enhance patient and provider experiences, and drive better financial and clinical outcomes. 
  • Their expertise spans healthcare operations, UI/UX design, and analytics, allowing them to create custom solutions for their healthcare collaborations.

Problem STATEMENT

  • Overloaded Dashboard Interface
    Too many charts and data points cluttered the dashboard, making it difficult for users to focus on key insights. Cognitive overload prevented them from quickly identifying and acting on critical data. 
  • Ineffective Color Usage
    The use of overly bright and inconsistent colors led to visual fatigue and confusion, making it hard to differentiate datasets and interpret trends effectively. 
  • Poorly Structured Layout
    Dashboard elements were randomly placed without a logical flow, disrupting the user experience and making navigation difficult. 
  • Lack of Data Hierarchy
    All data was presented with equal emphasis, forcing users to sift through large amounts of information without clear guidance on priority metrics. 
  • Limited Interactivity
    The dashboard did not offer flexibility for users to drill down into data, filter views, or customize their experience, reducing its effectiveness in providing actionable insights.

Solution

When we first sat down to understand the client’s challenges, it was clear that their dashboard needed more than just a visual refresh—it required a complete usability overhaul. Our experts focused on making the interface intuitive, ensuring users could extract meaningful insights effortlessly.

  • Refined Visual Hierarchy
    Our engineers strategically placed key performance indicators (KPIs) at the top, ensuring immediate visibility and helping users prioritize critical business metrics without unnecessary distractions. 
  • Streamlined Layout for Better Navigation
    Logical sections were introduced with ample white space to declutter the dashboard, enhancing readability and making navigation more seamless. 
  • Professional and Consistent Color Palette
    Our design team implemented a muted, structured color scheme with carefully placed accent colors, improving data distinction and reducing visual fatigue. 
  • Optimized Chart Selection for Clearer Insights
    Ineffective visuals were replaced with the most relevant chart types—bar charts for comparisons, and line graphs for trends—allowing users to interpret data more efficiently. 
  • Enhanced User Interactivity for Data Exploration
    Our engineers integrated filters, slicers, and tooltips, empowering users to drill down into data, customize their views, and explore insights without needing additional reports.

Technical Implementation

Wireframing & UI/UX Design

  • Initial dashboard wireframes were sketched to outline key sections and data flow.
  • High-fidelity UI designs were created in Figma to finalize layout and interactions.

Power BI Dashboard Development

  • The redesigned dashboard was implemented in Power BI with optimized visuals and interactivity.
  • DAX functions were used to enhance calculated metrics and improve analytical capabilities.

Testing & Deployment

  • User testing was conducted with real-time data to ensure usability improvements.
  • The final dashboard was deployed with continuous monitoring and user feedback integration.

Technical Architecture

Business Impact

  • Clearer Insights
    Data interpretation time was reduced from 15 minutes to just 10 minutes per analysis, enabling faster recognition of trends and anomalies. 
  • Improved User Engagement
    Over 125 users actively interacted with new dashboard features, leading to a more data-driven decision-making culture. 
  • Faster Decision-Making
    Report generation time decreased from 2 hours to 90 minutes, allowing teams to act on insights more quickly. 
  • Better Presentation for Stakeholders
    Improved visuals and interactivity increased confidence in data, streamlining stakeholder meetings and reducing redundant report explanations.

With the new design in place, navigating the dashboard feels effortless. Key metrics stand out, trends are easier to spot, and interactive features like slicers and filters make data exploration smooth. Teams can now focus on insights instead of struggling with clutter, leading to faster decisions that are data-backed. 

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Frequently Asked Questions(FAQs)

How do I know if a solution like this is right for my business?

A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.

DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.

Can DataToBiz customize the solution for my industry and current data setup?

Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.

Which tools, platforms, and data sources does DataToBiz work with?

DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.

If your stack includes a tool not listed here, the team can assess compatibility during discovery.

How long does a project like this take with DataToBiz?

Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.

How does DataToBiz keep my data secure and compliant during the entire engagement?

Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.

What support and results can I expect after the solution goes live?

The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.

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