Implementing End-to-End Customer Implementation and Deployment of BI Platforms

This abstract captures a systematic approach to the processes and methodologies used in deploying end-to-end customer solutions for Business Intelligence (BI) platforms. This discussion captures a process-based approach starting from analysis of customer requirements to data integration, system design, and deployment. The significance of BI projects being aligned with business goals, data quality, and scalable architecture capable of withstanding growth and changing analytics needs is underscored. The paper touches on key milestones such as requirement analysis, architecture design, platform customization, as well as support after deployment, and captures the solutions to changing management and user acceptance. Through the integration of technical discipline with customer-centric methodology, this work is a framework that improves decision-making, process effectiveness, and strategic planning in organizations that use BI platforms.

Authors

Institutions

Publication Details

Journal
International Journal for Research Publication and Seminars
Published
2025-03-15
DOI
https://doi.org/10.36676/jrps.v16.i1.139
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementing End-to-End Customer Implementation and Deployment of BI Platforms

Pradeep Kumar, S. Indira Gandhi
International Journal for Research Publication and Seminars
Big Data and Business Intelligence
article

Implementing End-to-End Customer Implementation and Deployment of BI Platforms

Pradeep Kumar, S. Indira Gandhi
article en

Abstract

This abstract captures a systematic approach to the processes and methodologies used in deploying end-to-end customer solutions for Business Intelligence (BI) platforms. This discussion captures a process-based approach starting from analysis of customer requirements to data integration, system design, and deployment. The significance of BI projects being aligned with business goals, data quality, and scalable architecture capable of withstanding growth and changing analytics needs is underscored. The paper touches on key milestones such as requirement analysis, architecture design, platform customization, as well as support after deployment, and captures the solutions to changing management and user acceptance. Through the integration of technical discipline with customer-centric methodology, this work is a framework that improves decision-making, process effectiveness, and strategic planning in organizations that use BI platforms.

International Journal for Research Publication and SeminarsVol. 16(1)
Galgotias University (IN), Sikkim Manipal University (IN)
Openalex Percentile: Top 89%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.