Data Lifecycle Optimization
Treating your data lifecycles like the circulatory system of your company allows you to approach it’s design, implementation and optimization with the right perspective and avoid potential imbalance resulting in performance degradation and missed opportunities. Our Data Lifecycle Optimization strategy is the leading framework for assessing, planning, optimizing and maturing your data lifecycle. This framework was born out of the collective expertise of Pragmatic Works and cultivated into a model that:
- Creates remarkable value in measurable and repeatable ways
- Increases the maturity of the strategies, systems, tools and teams involved
- Leverages the best methods and techniques to achieve the most mature and impactful data experience for your organization
Data Lifecycle Optimization (DLO) is centered on the 6 stages of a successful data lifecycle which address strategy, tactics, readiness and tooling. Embracing a strategy that focuses on business readiness and data integrity will not only empower your business decisions, it will position your organization for growth and innovation.