International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 1
January-February 2025
Indexing Partners
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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E-ISSN 2582-2160
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