Substantial-data

Substantial-data refers to a significant, large, and meaningful collection of information, often implying a depth and breadth of data that allows for robust analysis, informed decision-making, and the derivation of reliable conclusions. It goes beyond mere superficial or incomplete datasets, signifying a resource that can support comprehensive investigations, validate hypotheses, and provide a strong foundation for various applications, ranging from scientific research to business intelligence. The term emphasizes the quality, volume, and relevance of the data, allowing for thoroughness and in-depth analysis.

Substantial-data meaning with examples

• The scientists needed substantial-data on climate patterns to validate their predictive models. Extensive records of temperature fluctuations, rainfall, and atmospheric conditions from various sources, over many decades, were essential to support their research. They needed enough information to make accurate predictions, which required data that was both comprehensive and reliable.
• Before launching the product, the marketing team gathered substantial-data about consumer preferences. They conducted surveys, analyzed social media trends, and studied market research reports. The comprehensive information assisted in identifying target demographics, refining the product's features and developing an effective marketing strategy for a successful product launch.
• The financial analyst used substantial-data to assess the company's performance and identify areas for improvement. Quarterly reports, profit and loss statements, balance sheets, and market analyses provided the details needed to make accurate assessments and make data-driven recommendations.
• To improve traffic flow, the city planners compiled substantial-data from multiple sources, like sensors, traffic cameras, and citizen reports. This allowed them to analyze congestion patterns, identify bottlenecks, and make effective changes to the road networks and traffic light timing, that improved traffic flow for commuters.
• The healthcare professionals utilized substantial-data on patient outcomes to evaluate the efficacy of new treatments and drugs. Patient history, treatment protocols, and follow-up information was used to determine the impact of the interventions and drive best practices for clinical practice.