International Journal of Leading Research Publication

E-ISSN: 2582-8010   •   Impact Factor: 9.56

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 April 2025 Submit your research before last 3 days of to publish your research paper in the issue of April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 4
April 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Ensuring Data Quality: A Critical Aspect of Business Intelligence Success

Author(s) Sethu Sesha Synam Neeli
Country United States
Abstract Effective data governance is crucial for optimizing the value derived from business intelligence (BI) initiatives. A robust data governance framework ensures data accuracy, reliability, and regulatory compliance, thereby enhancing decision-making processes and operational efficiency. Data governance programs typically encompass establishing policies and procedures for data management, including data quality monitoring and control mechanisms. These programs often involve defining roles, responsibilities, and processes for managing data-related risks, incorporating both automated and manual data validation techniques. While initially focused on specific aspects of data management, effective data governance programs can evolve into comprehensive enterprise-wide initiatives. The integration of data governance principles into the software development lifecycle (SDLC) is crucial for building robust and reliable data-driven applications. Data manipulation processes, including data cleansing, transformation, and integration, must be carefully managed to ensure data quality and consistency. The resulting improvements in data quality directly contribute to enhanced BI capabilities and more reliable analytical insights.
Keywords ETL, BI, Integrity, protection, monitoring, security, compatibility, tools, governance, decisions, usability
Field Engineering
Published In Volume 2, Issue 9, September 2021
Published On 2021-09-02
Cite This Ensuring Data Quality: A Critical Aspect of Business Intelligence Success - Sethu Sesha Synam Neeli - IJLRP Volume 2, Issue 9, September 2021. DOI 10.5281/zenodo.14672905
DOI https://doi.org/10.5281/zenodo.14672905
Short DOI https://doi.org/g8z63m
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJLRP DOI prefix is
10.70528/IJLRP

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 5 Isu 12 Cover Page Vol 5 Isu 11 Cover Page Vol 5 Isu 10

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJLRP
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@ijlrp.com