Measuring Data and Information Quality within Organizational Contexts
Universidad de Castilla-La Mancha
DEI - room 3A
September 21st, 2011
at 4 p.m.
Nowadays, data plays a key role in organizations, and management of its quality is becoming an essential activity. As part of such required management, organizations need to draw up plans for measuring the data quality (DQ) levels of their organizational units, taking into account the particularities of different scenarios, available resources, and characteristics of the data used in them. Given that there are not many works in the literature related to this objective; this seminary present a methodology, MMPro, to develop plans for measuring DQ. MMPro is based on ISO / IEC 15939 which, despite being a standard of quality software, we believe can be successfully applied in this context because of the similarities between software and data. The proposed methodology consists of four activities: (1) Establish and sustain the DQ measurement commitment, (2) Plan the DQ Measurement Process, (3) Perform the DQ Measurement Process, and (4) Evaluate the DQ Measurement Process. These four activities are divided into tasks. For each task, input and output products are listed, as well as a set of useful techniques and tools, many of them borrowed from the Software Engineering field.