Model of Data Warehousing Process Maturity

Model of Data Warehousing Process Maturity

1. It requires huge investments, the data warehouse market is experiencing incrediblegrowth. However, a large number of initiatives DW end up as failures.

   • the warehousingprocess of data (DWP) could significantly mitigate such failure on a large scale and ensure delivery of consistent high quality

2. MOTIVATION FOR A DWP MATURITY MODEL

   • data storage is a set of activities that begins with the identification of a need and ends with delivering a product that meets the need for more specifically
     • methods
     • activities
     • practices
     • transformations
     • Metadata in the DWP can be classified into three types:
       • Metadata
       • mining activities
       • transformation

3. EXTANT LITERATURE ON MATURITY MODELS

   • The concept of maturity involves progress in some initial state to a more advanced state.
   • a maturity models have their roots in the field of quality management

4. DESIGNING A DWP MATURITY MODEL

   • the concept of data storage processmaturity been discussed in the work of the literature in this area has been limited to a simplespecification of the levels and the allocation of some theactivities of CMM, without much serious theory-baseddevelopment. In this section, we develop a conceptual model DWP maturity by Earth our work in design-scienceresearch and literature quality, maturity and service models