The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Effective Measurement of DQ/IQ for BI
Abstract
DQ/IQ measurement in general and in the specific context of BI has always been a topic of high interest for researchers. The topic of Data Quality (DQ) in the field of Information Management has been well researched, published, and studied. Despite such research advances, there has been very little understanding either from a theoretical or from a practical perspective of DQ/IQ measurement for BI. Assessing the quality of data for a BI System has been one of the major challenges for researchers as well as practitioners, leading to the need for frameworks to measure DQ for BI. The objective of this chapter is to provide an overview of the existing frameworks for measurement of DQ for BI, analyze the gaps therein, review proposed solutions, and provide a direction for future research and practice in this area.
Related Content
|
Dina Darwish.
© 2024.
48 pages.
|
|
Dina Darwish.
© 2024.
51 pages.
|
|
Smrity Prasad, Kashvi Prawal.
© 2024.
19 pages.
|
|
Jignesh Patil, Sharmila Rathod.
© 2024.
17 pages.
|
|
Ganesh B. Regulwar, Ashish Mahalle, Raju Pawar, Swati K. Shamkuwar, Priti Roshan Kakde, Swati Tiwari.
© 2024.
23 pages.
|
|
Pranali Dhawas, Abhishek Dhore, Dhananjay Bhagat, Ritu Dorlikar Pawar, Ashwini Kukade, Kamlesh Kalbande.
© 2024.
24 pages.
|
|
Pranali Dhawas, Minakshi Ashok Ramteke, Aarti Thakur, Poonam Vijay Polshetwar, Ramadevi Vitthal Salunkhe, Dhananjay Bhagat.
© 2024.
26 pages.
|
|
|