Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Elevating Business Analysis with AI: Strategies for Analysts

Version 1 : Received: 2 January 2024 / Approved: 5 January 2024 / Online: 5 January 2024 (10:37:58 CET)

How to cite: Seyi-Lande, O.; Onaolapo, C.P. Elevating Business Analysis with AI: Strategies for Analysts. Preprints 2024, 2024010435. https://doi.org/10.20944/preprints202401.0435.v1 Seyi-Lande, O.; Onaolapo, C.P. Elevating Business Analysis with AI: Strategies for Analysts. Preprints 2024, 2024010435. https://doi.org/10.20944/preprints202401.0435.v1

Abstract

Collaboration with data scientists is explored as a key aspect, emphasizing synergies between roles. Real-world case studies and best practices offer tangible insights, guiding analysts in successful AI implementation. The resource advocates for a mindset of continuous learning, providing a roadmap for gradual AI integration into analysis processes. Ultimately, the goal is to equip analysts with the knowledge and tools needed to elevate their analytical capabilities through the strategic adoption of AI.

Keywords

Automation; Collaboration; Integration; Analyst; Roadmap; Fundamental; Strategic

Subject

Business, Economics and Management, Business and Management

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