LANDA DIGITAL PRINTING

INSIGHT LANDA

Product 0 - 1 Lead Designer Data Visualisation

The cloud-based platform enables users to monitor real-time and historical data from cloud-connected industrial printing presses.

Providing actionable insights to improve operational efficiency and reduce costs.

Research

Interviews with key stakeholders were conducted to understand their needs

Printing Operators

Who work directly with the press

Production Managers

Who oversee the production process and need to track production data for single/multiple presses

Field service engineers

Who need data to identify press issues

Internal stakeholders

Who need to view performance across multiple sites / regions / product types

Primary Users

Production Manager

Needs:
Ensure that the printing presses operate efficiently, maintain high production levels, and stay in good working condition. He wants to receive real-time updates on performance and historical insights to optimize his press performance.

Key Goals

Monitor live data for real-time performance.
Identify performance anomalies early.
Analyze historical trends to inform decision-making.
Optimize printing press performance.
Generate operational reports for stakeholders.

Operations Manager (Internal Stakeholder)

Needs:
Oversee production efficiency, resource allocation, and strategic performance across multiple printing presses. She uses the platform to identify areas for improvement, generate reports for senior leadership, and make high-level decisions.

Key Goals

Track overall company performance across multiple sites.
Use data to inform high-level business decisions.
Generate reports and share insights with executives.
Identify and resolve bottlenecks or inefficiencies.
Align operational data with company-wide strategic goals.

User Goals and Key Interactions

Goals/Tasks	Production Manager	Operations Manager
Real-time monitoring of data	Views live metrics for operational decision-making.	Reviews overall performance of all presses across locations.
Identifying anomalies/alerts	Reacts to real-time alerts for downtime or performance drops.	Receives notifications about critical operational issues.
Analyzing historical data	Analyzes historical data to identify trends, such as prodution peaks & lows, ink usage	Uses historical data to assess long-term performance and strategic impact.
Reporting and stakeholder communication	Generates reports for team discussions or maintenance reviews.	Generates high-level reports for executives and leadership teams.

Challenges

Data Complexity and Usability

One of the major challenges was designing an interface that balanced the need to display a vast amount of data with the requirement for simplicity and usability. The challenge was determining how to present all this data in a way that wasn't overwhelming, while still making it actionable and useful for different user types. Striking the right balance between depth of data and ease of use was crucial.

Real-time Data Handling and Performance

The platform needed to handle large volumes of live data coming from multiple printing presses at once, with real-time updates. Ensuring the data loaded quickly, without lag or delays, while maintaining a seamless user experience, proved to be a significant challenge.

Customization for Different User Roles

Different users had different needs. Designing a flexible interface that could address these distinct needs, without overwhelming the user with irrelevant information, was a key challenge.

Ensuring Data Accuracy and Integrity

Given that the platform relied on real-time data from physical machinery, ensuring the accuracy and integrity of this data was crucial. The challenge was to design a system that could handle edge cases, like temporary data dropouts or server issues, without compromising the reliability of the information being presented to the users.

Visualizing Complex Data Trends

Some of the historical data trends were highly detailed and required sophisticated visualization tools. Designing graphs and charts that effectively conveyed the complexity, while still being easy to read and interpret, was a tough balance. We had to think creatively about how to present long-term trends and real-time data in ways that weren't just "pretty" but actionable.

Solutions

Data Visualization with Simplified Graphs

To make complex data more understandable, we used clear, interactive graphs (e.g., line graphs, bar charts) that let users drill down into specifics while maintaining an easy-to-understand overall picture. Color-coded metrics, such as red/green indicators, helped users quickly identify performance issues without needing to interpret raw data.

Real-Time Alerts & Notifications

The platform integrated real-time alerts, notifying operators and maintenance teams when performance dipped below preset thresholds. These alerts helped identify issues early, reducing downtime and preventing potential production delays. Notifications were designed to be concise, actionable, and contextual, guiding users directly to the source of the problem.

Role-Specific Information Architecture

Understanding that different roles require different insights, we structured the information architecture to provide tailored experiences for each user type. Production managers had a streamlined, easy-to-navigate interface, while Internal stakeholders had more complex views focusing on "the bigger picture"

Outcome

The platform helped reduce the time spent manually monitoring machines and interpreting data. Understading the data helped the company experienced a notable reduction in machine downtime, improving overall production. Post-launch feedback from users showed satisfaction with the platform's usability and data accessibility.