ATTACHMENT ONE.pdf
PDF 77 KB Posted
- Attached to
- Program Evaluations
- Solicitation number
- 97499 O3
- Issued by
- Lancaster County, Nebraska
About this file
This file is an MLTC Process Evaluation Structure document that appears to be an attachment for a Nebraska Department of Health and Human Services procurement. The document outlines a comprehensive evaluation framework divided into four main architectural components: Business, Analytics, Data Sources, and Technical. Each component details specific tasks and requirements for evaluating processes, systems, and capabilities.
The structure provides a detailed task breakdown for each architectural component. The Business section focuses on identifying SMEs, conducting interviews, documenting processes, and identifying pain points. The Analytics section emphasizes reporting requirements, interface inventories, and data mapping tasks. The Data Sources component covers data modeling, requirements documentation, and data lineage tasks. The Technical section addresses infrastructure, security, privacy, and disaster recovery planning. Each section includes specific deliverables and requirements for documenting current systems, processes, and capabilities.
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Text version
ATTACHMENT 1
MLTC Process Evaluation Structure
Architecture Task
Business Business Vision
Identify business SMEs Conduct business interview(s) Draft business process work flows Document business capabilities and requirements Record business pain points and information gaps Delineate data quality and system deficiency issues
Analytics Identify reporting and analytic SMEs
Conduct interview(s) Draft applications and interfaces inventory
Inventory operational reports Generate operational reports source-to-target mappings Inventory analytical reports and source-to-target mappings Generate analytical reports source-to-target mappings Compose data heat/utilization map Catalog reporting and analytics user listing
Data Sources Identify data/technical SMEs Conduct data interview(s)
Document data requirements, standards, and policies Record data quality and integrity practices Provide conceptual data model Provide logical data model Provide physical data model Outline data lineage Data definitions Data file layouts Data reference lookups Catalog data source user listing
Technical Identify SMEs Conduct interview(s)
Acquire platform and infrastructure diagrams Secure security and privacy maps Procure data operations and archival scheme Obtain disaster recovery plan
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