A Model of Data Warehousing Process Maturity

A Model of Data Warehousing Process Maturity

1. MOTIVATION FOR A DWP MATURITY MODEL

   • A data warehousing process
     • Data warehouses are aimed at address analytical issues and business managers executives
   • identifying a need
   • develop, maintain and operating a data storage
     • analysis of business requirements, design data, architecture design
   • Operations tasks in a DWP include metadata management, recovery management, management of financial services, governance data storage
   • Metadata
     • metadata for the end user
     • extraction and processing of metadata
     • Operational metadata

2. EXTANT LITERATURE ON MATURITY MODELS

   • Quality management
   • progress from an initial state to a more advanced state
   • Five Phases
     • uncertainty
     • awakening
     • enlightenment
     • wisdom
     • certainty
   • software development, project management, open source systems, web services, data governance, oriented architecture services
   • Key process areas
     • Activities in key process areas
       • The objective of each process area can be summarized by its key practices, also known as activities
       • practices may accomplish the goals of the key process area

3. DESIGNING A DWP MATURITY MODEL

   • work in this area has been limited to a simple specification of the levels and mapping of some of the activities from CMM
   • In this section, we develop a conceptual model of DWP maturity by grounding our work in design-science research
   • Design-Science Research
     • La primera pauta es que la investigación en diseño en la ciencia debe dar lugar a un artefacto, lo que podría ser una construcción , modelo , método o de instancias.
   • Initial Model
     • Constructs are the representations of the entities of interest
   • Knowledge Acquisition
     • identify, analyze, and understand the maturity levels, as well as the key process areas and associated activities for each level
     • The participants had, on average, five to seven years of experience in data warehousing, and their job titles
     • Our objectives in this phase were to assess the potential value of a DWP maturity model, and to identify its maturity levels and the key process areas

4. DISCUSSION

   • In this article, We have described the developing a artifact design
   • It is important to note that the objective of configuration management in data warehousing is different from that in software development. In software development, the process involves
   • These DW products belong to development and/or operations
     • interacts with alignment of architecture