International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

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

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Automated Migration from Legacy to Modern BI

Author(s) Ghouse Baba Shaik
Country USA
Abstract The transition from legacy Business Intelligence (BI) systems to modern BI solutions is a pressing challenge for organizations striving to harness data-driven insights effectively. This paper presents a case study detailing the automated migration of BI solutions from legacy platforms, such as SAP BusinessObjects (BO) and Cognos, to contemporary architectures utilizing cloud-based services and advanced analytics tools. Through this migration, organizations can enhance data accessibility, improve analytical capabilities, and reduce operational costs. The findings demonstrate that automated migration not only accelerates the transition process but also minimizes disruptions, allowing for a smoother change management experience.
Keywords Automated Migration, Legacy BI, Modern BI, SAP BusinessObjects, Cognos, Data Analytics, Cloud Computing, ETL (Extract, Transform, Load), Business Intelligence, Data Warehousing, Digital Transformation, BI Maturity, Analytics Tools, Data Governance, Big Data, Self-Service BI, BI Tools, Performance Optimization, Data Integration.
Published In Volume 3, Issue 2, March-April 2021
Published On 2021-04-28
Cite This Automated Migration from Legacy to Modern BI - Ghouse Baba Shaik - IJFMR Volume 3, Issue 2, March-April 2021. DOI 10.36948/ijfmr.2021.v03i02.11956
DOI https://doi.org/10.36948/ijfmr.2021.v03i02.11956
Short DOI https://doi.org/g82h54

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