Search Results - subject:"Data Quality Management"

A robust record linkage approach for anomaly detection in granular insurance asset reporting

La Serra, Vittoria; Svezia, Emiliano - 2023

Persistent link: https://www.econbiz.de/10014441391

Statistical matching for anomaly detection in insurance assets granular reporting

La Serra, Vittoria; Svezia, Emiliano - 2022

Persistent link: https://www.econbiz.de/10013392410

Stacking machine-learning models for anomaly detection : comparing AnaCredit to other banking datasets

Maddaloni, Pasquale; Continanza, Davide Nicola; Del … - 2022

Persistent link: https://www.econbiz.de/10013264672

Implementation and Benefits of Digital Twin on Decision Making and Data Quality Management

Blaschke, Florian - 2024

data quality management, a process digital twin, and a model-driven decision support system. It leverages the benefits of … engineering and a doctorate in management and organizational sciences with a focus on digital twins, data quality management and …

Persistent link: https://www.econbiz.de/10015162684

Application of classification algorithms for the assessment of confirmation to quality remarks

Zambuto, Fabio; Arcuti, Simona; Sabatini, Roberto; … - 2021

Persistent link: https://www.econbiz.de/10012820274

Data governance model to enhance data quality in financial institutions

Karkošková, Soňa - In: Information systems management 40 (2023) 1, pp. 90-110

Persistent link: https://www.econbiz.de/10013549217

Quality checks on granular banking data : an experimental approach based on machine learning?

Zambuto, Fabio; Buzzi, Maria Rosaria; Costanzo, Giuseppe; … - 2020

Persistent link: https://www.econbiz.de/10012209489

Automated Data Harmonization (ADH) using Artificial Intelligence (AI)

Dutta, Anjan; Deb, Tomal; Pathak, Shrikant - In: Opsearch : journal of the Operational Research Society … 58 (2021) 2, pp. 257-275

Persistent link: https://www.econbiz.de/10012548762

TOWARDS CORPORATE DATA QUALITY MANAGEMENT

Lucas, Ana - In: Portuguese Journal of Management Studies XV (2010) 2, pp. 173-196

Today, it is a well known fact that poor quality data is costing large amounts of money to corporations all over the world. Despite the increasing research on methods, concepts, and tools for data quality (DQ) assessment and improvement, little has been done about corporate DQ management. The...

Persistent link: https://www.econbiz.de/10010960479