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A Proposal: From Failure to Success for Data Warehousing in Investment Banking Projects

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  • Tejas Sriprasad

Abstract

The background of this paper will explore data governance and types of implementations of Data warehousing technologies in the Investment Banking Industry. Many implementations use the data warehousing technologies connected to the cloud in investment banking; our research will aim to set the frontiers of Data Governance and expand the horizons for Data Science Research. In different implementations and varying organization structures data warehousing, data science projects are in huge demand. There are many issues with data warehousing implementations, including high failure rates of data warehousing projects, trying to fix them in a way never done before, will be the secondary aim of this research paper. Accidental data redundancy, data quality issues, causing high failure rates, this research paper will look at possible solutions to alleviate this issue. There are different implementations of the warehouse which are highly successful, they include data lakes, data meshes, and data ponds. Data governance includes full data management and the way we manage both big data and analytics.

Suggested Citation

  • Tejas Sriprasad, 2026. "A Proposal: From Failure to Success for Data Warehousing in Investment Banking Projects," International Journal of Innovative Science and Research Technology (IJISRT), IJISRT Publication, vol. 11(08), pages 171-175, August.
    • Handle: RePEc:cvr:ijisrt:2026:08:ijisrt26aug061
    DOI: https://doi.org/10.38124/ijisrt/26aug061
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