SSIS / SSRS ETL and Business Intelligence Reporting

Author(s)	Durga Prasad
Country	United States
Abstract	Enterprise data ecosystems demand precise, auditable, and high-output intelligence channels capable of supporting both functional opinions and nonsupervisory compliance. SQL Garçon Integration Services (SSIS) and SQL Garçon Reporting Services (SSRS) represent the foundational pillars of Microsoft's enterprise business intelligence mound, delivering Extract, Transform, cargo capabilities alongside pixel-perfect reporting at scale. This composition examines how the chastened combination of SSIS unity and SSRS delivery creates a full-mound intelligence capability able of recycling overhead of 20,000 records daily across distributed SQL data sources. Crucial issues include sub-minute data refresh rates, structured error running, drill- through report navigation, and compliance- grade auditability satisfying Sarbanes–Oxley and Basel conditions. The practical significance extends to Data Engineering transitions, Power BI modernization pathways, and LINQ-grounded data shaping situating associations to bridge raw data engineering with polished stakeholder- facing analytics in regulated.
Keywords	ETL Orchestration, SSIS Packages, SSRS Reporting, Business Intelligence, Compliance Analy.
Field	Engineering
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-24
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.72385

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