Kemi Nelson Presents What Data Life Cycle Management Is and It Matters

WHAT IS DATA LIFE CYCLE, AND WHY DOES IT MATTER?

Kemi Nelson | KemiNelson.com

Data life cycle management helps companies maximize value and minimize risk. A DLM program should target specific organizational needs and integrate with existing processes.

Data life cycle management means understanding the value and potential of data throughout the process Visualizing data is virtually impossible without an organized DLM approach

Part of organizing data is establishing a standard life cycle This helps teams track which data has already been used and separate it from new or unused data This gives meaning and structure to otherwise chaotic input

7 CYCLES OF DLM

Phase #1 Data Identification

Phase #2 Retention Policy

Establishing

Phase #3 Data Security Checks

GOALS OF DLM

DLM gives weight to marketing teams and relieves stress from executives Data life cycle management helps companies meet or exceed industry expectations while protecting business assets

Phase #4 Data Archiving

Phase #5 Data Monitoring

Phase #6 Continual Improvement

Phase #7 Compliance Checks

“The primary goal of this cycle is to ensure compliance.”