Master Person Data Management Lifecycle and Methodology
Developing the Master Person Index (MPI) application requires not just designing the underlying data organization and
assuring data quality but, most importantly, reflecting the corresponding business model and processes that are integral parts
of a complete enterprise solution. In order to merge data technical design, business goals and an organization’s practices for
creating a successful enterprise solution, it is necessary to apply the industry accepted data management lifecycle strategy and
its methodologies to the development process. The phases of the MPDM lifecycle cannot be implemented separately without
compromising the end result - master data that truly represents your business and behaves according to the established
NetGen software and services are implemented using the MPDM lifecycle process. Our knowledge will guide you through the
process of applying MPDM technology to your organization. Our approach will allow you to take advantage of this technology
in a cost-effective and timely manner.
Create — During this phase the master person data model and application are designed, process strategies are defined, data
encoding and matching rules and policies are established, interfaces that deliver master person index (MPI) services to the
integrated system are determined. Major decisions on MPI behavior are made and reviewed in this phase. The core business
policies and processes pertaining to MPI are implemented here.
Analyze — During this phase data sets are analyzed and validated via a profiling tool, data quality is examined, cleansing
rules, standardization and normalization strategies are defined. Data analyzing and cleansing are essential procedures for
achieving the necessary data quality required by an MPI system. The level of data quality determines data matching efficiency
and accuracy. This phase is an iterative process.
Synchronize — During this phase an MPI solution is deployed and integrated with a business application. Clean and unified
data is propagated to the integrated system using MPI services. Once MPI services are ready to be delivered to the rest of the
system, business practice and policies decisions are made. At this stage architects are responsible for analyzing the entire
system to uncover shortfalls and find the best strategies to remediate them.
Syndicate — During this phase generic views on the complete range of data are created and managed. All services
implemented by the MPI will have access to the data through these views.
Governance – It plays a key role in all four phases of the MPDM lifecycle. In the Create phase, the data quality and matching
operations serve as key underpinnings of a compliance strategy: those services ensure that the data information referenced
has been strictly verified. In the Synchronize phase, the MPI application controls, executes, and audits the notifications and
repairs incomplete information in the entire system, helping to reveal quality problems at their sources. In the Syndication
phase, the MPI application serves as an ideal control point for governing access to master data.
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