Sumaria Blog

Data Visualization and Modeling for Improved Performance

Written by Sumaria | Dec 18, 2024 1:00:00 PM

As oil powered the Industrial Revolution, data is now the driving force behind modern efficiency and innovation. It provides a wealth of information and valuable insights to drive growth, profitability, and performance.

However, making sense of the massive amounts of data being collected—especially in fast-paced environments that demand quick, reliable interpretation—is challenging. That’s where visualization and modeling excel. They make data easier to understand and structure and organize it in ways that lead to deeper insights and more strategic decision-making.

According to Dr. James Jenkins, CTO of Sumaria Systems, "Data visualization is critical in today's environment because it transforms complex information into actionable insights. At Sumaria, we are advancing visualization tools that allow our clients to interpret and leverage their data for fast, strategic decision-making. Visualization is a vital piece of data analysis, supplementing abstract analytic techniques to create a more comprehensive awareness that enhances every level of the decision-making process."

The Power of Data Visualization

Data visualization simplifies the interpretation of complex datasets and the identification of patterns, trends, and correlations. This visual approach also democratizes data access, enabling a broader range of stakeholders to access these insights without knowing how to code or having advanced knowledge of data analytics.

The power of visualization lies in its ability to present information in a way that is easy to grasp, particularly when dealing with large datasets sourced from diverse areas.

In large organizations like defense agencies, which gather information from multiple sources, visualization tools help highlight critical data points, enabling decision-makers to make insights at a glance. They are especially valuable in fast-paced environments that require reliable interpretation of data and quick decision-making.

Knowledge Graphs and System Performance

By visualizing data flow and connections, knowledge graphs organize information from multiple sources into a cohesive framework, which improves data modeling, enabling better insights and more efficient management. In aligning data sources, modeling creates the foundation for more accurate and comprehensive visualizations.

Knowledge graphs support system optimization and faster decision-making in military operations or government sectors that deal with complex data sets. These environments require high levels of automation and seamless data integration, and the graphs enable organizations to streamline these processes.

Data modeling is not limited to organizing data for visualizations. AI and machine learning can create the following:

  • Predictive analytics: Forecast future events, such as predicting equipment failure or anticipating supply chain needs.
  • Prescriptive models: Analyze data and recommend specific actions to optimize outcomes, such as suggesting alternative routes for logistics to avoid disruptions.

Increasingly, organizations are adopting model-based systems engineering (MBSE), which provides structured and efficient approaches to complex system management challenges and the development of new data structures. For example, the Department of Defense is managing system lifecycles in this manner, replacing text-based documents and manual processes. Along with visualizations, MBSE enhances collaboration and communication across digital engineering teams. It produces clear visual representations of complex systems, making understanding system relationships, dependencies, and potential impact easier.

Enhancing Operational Efficiency with Visualization

Beyond system optimization, the visualization of data can directly impact operational efficiency in areas like logistics, procurement, and resource management.

Visualization tools enable quicker, better resource allocation by simplifying the interpretation of complex data. In addition, predictive analysis helps organizations forecast needs, identify risks, and optimize processes before problems arise. By simulating various scenarios and analyzing possible outcomes, modeling supports more in-depth forecasting, such as improving maintenance schedules, predicting supply chain requirements, and enhancing cybersecurity readiness.

Visualization goes beyond effectively presenting data. It also uses that data to drive operational improvements and mitigate risks. A PwC study reported that organizations that embrace strategic risk management and leverage visualization techniques are five times more likely to achieve positive outcomes in their operations.

Real-Time Data Visualization

Real-time visualizations offer a significant advantage in environments requiring immediate response, such as defense, cybersecurity, emergency management, and healthcare.

By providing live updates on system performance or resource allocation, these visual tools provide live data to take swift, informed actions—crucial for optimizing missions and reducing risks.

Best Practices for Effective Data Visualization and Modeling

Data visualizations should be intuitive and straightforward to understand. Employ these best practices to help those interpreting your data:

  • Clarity over Aesthetics: A visualization doesn't need to be pretty to be effective. While attractive designs can capture attention, they should never distract from the data's message. Focus on making the visualization easy to understand rather than just visually appealing.
  • Judicious Use of Color: Color plays a critical role but should be used carefully. Avoid using too many colors that could confuse viewers. Instead, leverage natural associations (e.g., red for danger, green for success, etc.) and highlight key data points with brighter hues.
  • The Right Chart: Maps are tempting when using geographic data but aren't always best for comparisons. For example, a bar chart might show differences between regions better than a map, which could mislead depending on its size and color intensity.
  • The Five-Second Rule: A viewer should understand the central message of a visualization within five seconds. Clear titles, concise legends, and simple layouts help convey this message quickly.
  • Drill-Down Capability: Users should be able to drill down into data points to look at the underlying information represented in the visualization.
  • The Right Model: Just as choosing the right chart impacts visualization, selecting the appropriate model is crucial. This ensures that the data aligns with your organization’s goals.

Visualization Provides Crucial Insights

Data visualization and modeling are vital for improving system performance and operational efficiency. While visualization provides an overt summary of complex data, modeling forms the backbone that enables deeper analysis, uncovering patterns and trends that may not be immediately visible.

As data continues to expand, the role of visualization and modeling in improving performance will only become more critical.

Sumaria Systems is a reliable and trusted industry partner that uses a series of services, including advisory, assistance, and advanced analytics AI, to convert documents into integrated and interconnected digital models. With over forty years of experience, numerous ISO and CMMI Level 3 certifications, and a clean compliance record with UTD registrations in SAM.gov, Sumaria is a trusted option for government contract awards, with no history of suspension or debarment. Contact Sumaria during your next program to get support for the nation's vital missions with the highest degree of responsiveness, effectiveness, and efficiency.