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

Authors

40

  1. MS
    Merlin Stone

    IBM (United States), United States

    3 publications · 69 citations

    3

    h-index

  2. BF
    Bryan Foss

    IBM (United States), United States

    3 publications · 69 citations

    3

    h-index

  3. DZ
    Debra Zahay

    Northern Illinois University, United States

    2 publications · 44 citations

    2

    h-index

  4. IH
    Iain Henderson

    London South Bank University, United Kingdom

    2 publications · 48 citations

    2

    h-index

  5. JA
    Jeong-Yong Ahn

    Jeonbuk National University, South Korea

    1 publications · 97 citations

    1

    h-index

1–5 of 40

Venues

  1. 5

    h-index

  2. Industrial Management & Data Systems

    1 publications · 97 citations

    1

    h-index

  3. Procedia CIRP

    1 publications · 15 citations

    1

    h-index

  4. Procedia Economics and Finance

    1 publications · 39 citations

    1

    h-index

  5. Journal of Southwest Jiaotong University

    1 publications · 13 citations

    1

    h-index

1–5