Data Governance and Quality in Data Warehousing and Business Intelligence

Author(s)	Balakrishna Boddu
Country	USA
Abstract	Data governance and business intelligence (BI) work together to help organizations manage and use data effectively. By combining these values, companies can ensure that their data is accurate, reliable, and compliant with regulations. This leads to better decision-making and overall efficiency. Data governance programs often focus on important decisions about how data is managed. They may also assign people to monitor the quality of data entering the system. This Paper aims to ensure that data is accurate and reliable. To do this, use rules, roles, and responsibilities to manage risks. These rules can be automated or manual processes. While they may start small, these programs can sometimes grow into larger enterprise-wide data governance initiatives.
Keywords	ETL, BI, Integrity, protection, monitoring, security, compatibility, tools, governance, decisions, usability.
Field	Lainnya
Published In	Volume 3, Issue 6, November-December 2021
Published On	2021-11-24
DOI	https://doi.org/10.36948/ijfmr.2021.v03i06.10876
Short DOI	https://doi.org/g8shdr

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research