Customer Data Cleansing
Customer Data Cleansing is a methodological process within customer data management that systematically identifies, corrects, and eliminates inaccuracies, redundancies, and inconsistencies in customer data to ensure its reliability and usability.
7
Publications
6.4K
Citations
26
Authors
12
Institutions
Publications per year
2017–2026
2
Variants
Customer Data Scrubbing
Parents
7
Opinion Mining and Sentiment Analysis
Bo Pang, Lillian Lee · Foundations and Trends® in Information Retrieval · 2008 · 6.2K citations
Review preprocessing using data cleaning and stemming technique
Sandesh Gharatkar, Aakash Ingle, Tanmay Naik et al. · 2017 · 39 citations
Cleaning disguised missing data
Building the foundation for customer data quality in CRM systems for financial services firms
Debra Zahay, James W. Peltier, Anjala S. Krishen · Journal of Database Marketing & Customer Strategy Management · 2012 · 26 citations · Full text
Management, Financial Management, Management Information Systems +16
1–5 of 7
26
1
h-index
1
h-index
1 publications · 39 citations
1
h-index
1
h-index
1
h-index
1–5 of 26
12
King Faisal University
Hofuf, Saudi Arabia
1 h-index
1 publications
18 citations

Cornell University
Ithaca, United States
1 h-index
1 publications
6.2K citations
Guru Teg Bahadur Hospital
Delhi, India
1 h-index
4 publications
300 citations
University of Nevada, Las Vegas
Las Vegas, United States
1 h-index
1 publications
26 citations
Simon Fraser University
Burnaby, Canada
1 h-index
2 publications
68 citations
Al Baha University
Al Bahah, Saudi Arabia
1 h-index
2 publications
36 citations
Pir Mehr Ali Shah Arid Agriculture University
Rawalpindi, Pakistan
1 h-index
3 publications
54 citations

Northern Illinois University
DeKalb, United States
1 h-index
2 publications
52 citations
1–8 of 12
Conference · 1 publications · 75 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 6.2K citations
1
h-index
1 publications · 26 citations
1
h-index
1–4