Data Quality confirms the correct and meaningful representation of real world information. Researchers have proposed frameworks to measure and analyze the Data Quality. Still modern organizations find it very challenging to state the level of enterprise Data Quality maturity. This study aims at defining the Data Quality of a system also examine the Data Quality Assessment practices. A definition for Data Quality is suggested with the help of systematic literature review. Literature review also provided a list of dimensions and initiatives for Data Quality Assessment. A survey is conducted to examine these aggregated aspects of Data Quality in an organization actively using ERP and CRM systems. The survey was aimed at collecting organizational awareness of Data Quality and to study the practices followed to ensure the Data Quality in ERP and CRM systems. The survey results identified data validity, accuracy and security as the main areas of interest for Data Quality. The results also indicate that, due to audit requirements of ERP systems, ERP systems have higher demand of Data Quality as compared to CRM systems.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mau-20137 |
| Date | January 2014 |
| Creators | Sarwar, Muhammad Azeem |
| Publisher | Malmö högskola, Fakulteten för teknik och samhälle (TS), Malmö högskola/Teknik och samhälle |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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