Referring to an approach, system, or methodology that does not primarily rely on structured, numerical, or factual data for its operation, analysis, or decision-making. It emphasizes qualitative information, experiential knowledge, subjective interpretations, and intuitive judgments, often prioritizing human insights and contextual understanding over data-driven models. It may involve the exploration of concepts, ideas, and relationships rather than quantifiable metrics or statistical analysis. This approach prioritizes qualitative insight, intuition, and contextual understanding.
Non-data-oriented meaning with examples
- The team adopted a non-data-oriented approach to market research, relying on focus groups and in-depth interviews to understand customer preferences. This helped them gather rich qualitative insights, allowing for a deeper comprehension of consumer behavior beyond mere sales figures or survey results. This ensured they got in-depth feedback with greater reliability and context.
- In crafting the brand’s storytelling strategy, the marketing department used a non-data-oriented method, focusing on emotional resonance and narrative flow instead of tracking conversion rates. The creative team wanted a captivating, compelling tale, to forge a deeper connection between the customer and the brand, rather than hard data metrics.
- The artist employed a non-data-oriented process to create her sculptures, drawing inspiration from personal experiences and observations, and giving priority to the aesthetic and emotional impact on the viewer. Her process was driven by feeling, creativity, and an innate sense of beauty, leaving out numerical analysis.
- The therapist utilized a non-data-oriented framework when working with patients, relying on observation, empathy, and listening skills to gain understanding. This allowed for a patient-centered approach that prioritized the client’s narratives and subjective experiences, facilitating deeper healing and growth.
- The agile team, early in the product lifecycle, chose a non-data-oriented process, and employed rapid prototyping and user feedback to refine the user interface of their new software. The developers worked alongside focus groups, gaining insight into customer wants.