Customer Data Lifecycle Management
Customer Data Lifecycle Management is a systematic framework within customer data management that governs the end-to-end stages of customer data—from acquisition, storage, and usage to archival and deletion—distinguished by its focus on ensuring data quality, compliance, and value optimization throughout its temporal existence.
15
Publications
491
Citations
40
Authors
24
Institutions
Publications per year
2017–2026
5
Parents
15
CUSTOMER PREDICTIVE ANALYTICS USING ARTIFICIAL INTELLIGENCE
Siti Zulaikha, Hazik Mohamed, Masmira Kurniawati et al. · The Singapore Economic Review · 2020 · 62 citations
Building profitable customer relationships with data mining
Herb Edelstein · 2000 · 32 citations
1–5 of 15
40
3
h-index
3
h-index
2
h-index
2
h-index
1
h-index
1–5 of 40
24

London South Bank University
London, United Kingdom
2 h-index
7 publications
135 citations
IBM (United States)
Armonk, United States
2 h-index
2 publications
50 citations

Northern Illinois University
DeKalb, United States
2 h-index
3 publications
70 citations
IBM (United Kingdom)
Winchester, United Kingdom
2 h-index
2 publications
40 citations
University of Nevada, Las Vegas
Las Vegas, United States
1 h-index
1 publications
26 citations
Audencia Business School
Nantes, France
1 h-index
1 publications
31 citations
IBM Research - Zurich
Rüschlikon, Switzerland
1 h-index
6 publications
60 citations
Institut Régional d’Administration de Lille
Lille, France
1 h-index
1 publications
48 citations
1–8 of 24
5 publications · 143 citations
5
h-index
1 publications · 97 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 39 citations
1
h-index
1 publications · 13 citations
1
h-index
1–5