The objective of the present work is to describe how cloud computing impacts operational agility within organizations. The scope of the project includes—but is not limited to—understanding how cloud-based infrastructure, platforms, and services enable faster decision-making, scalability, and adaptability in business operations.
On-demand resource availability, Faster deployment of applications, Remote collaboration, and Business continuity planning.
The scope will also include identifying key drivers and barriers for cloud adoption, types of cloud models (Public, Private, Hybrid), and their relevance to operational agility. The project will examine the relationship between cloud-enabled technologies (like SaaS, IaaS, PaaS) and improvements in areas such as supply chain responsiveness, IT service delivery, and process automation.
The present work will also include understanding limitations and risks (e.g., data security, compliance issues, downtime), and drawing out some strategic suggestions for smoother adoption and integration of cloud computing in operational processes.
Designing a questionnaire or collecting real-time data from platforms such as Google Reviews, app feedback, or social media to capture customer sentiments about a product or service.
Using tools like Google Forms or MS Forms to gather structured feedback.
Performing basic text preprocessing and sentiment classification using tools such as MS Excel (for structured responses), or basic Python/NLP tools (for open-ended/unstructured feedback).
Using Power BI or Tableau to visualize trends, sentiment scores, and customer preferences.
Identifying key themes and pain points from sentiment analysis and mapping them to product features for improvement suggestions.
Preparing a detailed report summarizing the methodology, tools used, findings, and recommendations for product enhancement.
Presenting the project findings and recommendations in a group presentation to the mentor, highlighting how Business Analytics techniques influenced decision-making.
