Sökning: "data quality"
Visar resultat 1 - 5 av 3903 avhandlingar innehållade orden data quality.
1. Contributions to the Use of Statistical Methods for Improving Continuous Production
Sammanfattning : Complexity of production processes, high computing capabilities, and massive datasets characterize today’s manufacturing environments, such as those of continuous andbatch production industries. Continuous production has spread gradually acrossdifferent industries, covering a significant part of today’s production. LÄS MER
2. Quantifying Process Quality : The Role of Effective Organizational Learning in Software Evolution
Sammanfattning : Real-world software applications must constantly evolve to remain relevant. This evolution occurs when developing new applications or adapting existing ones to meet new requirements, make corrections, or incorporate future functionality. LÄS MER
3. Quality management : National or global driving factors
Sammanfattning : Around the world Quality Management is commonly regarded by industrialists and academics as a management concept that encompasses the potential in any organisation of developing into a company-wide philosophy with a profound focus on stakeholder values and improvement processes. However, there are mounting evidence that Quality Management has developed into an important strategic issue also on a national level, and that some leading industrial nations have enjoyed significant gains in the post War era by means of nation-wide progresses in Quality Management. LÄS MER
4. Flood Hazard Assessment in Data-Scarce Basins : Use of alternative data and modelling techniques
Sammanfattning : Flooding is of great concern world-wide, causing damage to infrastructure, property and loss of life. Low-income countries, in particular, can be negatively affected by flood events due to their inherent vulnerabilities. Moreover, data to perform studies for flood risk management in low-income regions are often scarce or lacking sufficient quality. LÄS MER
5. Data management and Data Pipelines: An empirical investigation in the embedded systems domain
Sammanfattning : Context: Companies are increasingly collecting data from all possible sources to extract insights that help in data-driven decision-making. Increased data volume, variety, and velocity and the impact of poor quality data on the development of data products are leading companies to look for an improved data management approach that can accelerate the development of high-quality data products. LÄS MER