AI-Enabled Enterprise Project Analytics and Digital Strategy Transformation

Jennifer Iyangan Oshodin *

Ambrose Alli University, Ekpoma, Edo State, Nigeria.
 
Research Article
International Journal of Science and Research Archive, 2021, 04(01), 469-489.
Article DOI: 10.30574/ijsra.2021.4.1.0212
Publication history: 
Received on 12 November 2021; revised on 26 December 2021; accepted on 29 December 2021
 
Abstract: 
AI-enabled enterprise project analytics and digital strategy transformation are reshaping how organizations plan, execute, and optimize business operations in an increasingly competitive and data-centric world. At a broader level, this approach integrates artificial intelligence, data engineering, and digital platforms to automate workflows, enhance decision-making, and support evidence-based strategic initiatives. AI technologies such as machine learning, natural language processing, and predictive analytics enable enterprises to process vast amounts of structured and unstructured data, uncover hidden patterns, and forecast project outcomes with higher accuracy. Data engineering frameworks ensure the seamless collection, storage, and governance of data across multiple systems, while digital platforms create interconnected ecosystems that support collaboration, transparency, and real-time monitoring. Narrowing the focus, AI-powered project analytics allow organizations to detect risks earlier, optimize resource allocation, and improve project delivery timelines. Intelligent automation tools reduce manual effort, eliminate process inefficiencies, and enable project managers to shift their focus from administrative tasks to strategic decision-making. Advanced predictive models provide insights into budget performance, stakeholder engagement, and project health, allowing leadership teams to take proactive corrective actions. From a strategic transformation perspective, the integration of digital platforms and AI supports scalable innovation, enhances digital maturity, and aligns technological investments with long-term business goals. Enterprises adopting this approach gain competitive advantages through agility, data-driven culture, and enhanced operational excellence. Ultimately, AI-enabled enterprise project analytics bridges the gap between technology and business strategy, empowering organizations to achieve smarter, faster, and more adaptive project outcomes in a dynamic corporate environment. 
 
Keywords: 
AI-Enabled Project Analytics; Digital Strategy Transformation; Data Engineering; Predictive Project Management; Intelligent Automation; Strategic Decision Optimization
 
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Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0