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Low-Code Platform Implementation for Operational Efficiency & Big Data Analytics

future-processing.com

Hospitality & leisure

Information technology

Business services

Challenge

Entertainment International faces challenges in efficiently managing a globally distributed business with disparate systems generating large volumes of data. This limits their ability to make data-driven decisions, hinders operational agility, and creates bottlenecks in critical processes like fleet management, customer service, and vendor onboarding. The existing reliance on manual processes and fragmented data silos results in wasted time and resources, specifically costing department heads an estimated 250 hours per fleet voyage.

About the Client

A global travel company focused on maximizing profits and providing exceptional customer experiences through a network of worldwide operations, including fleet management, customer service, and cruise sales.

Objectives

Reduce operational costs by automating manual processes.
Improve decision-making through enhanced data analysis and reporting.
Increase efficiency of key business operations (fleet management, customer service, vendor onboarding).
Enhance business agility and responsiveness to market changes.
Streamline workflows and improve employee productivity.

Functional Requirements

Low-code application builder for rapid development of custom applications.
Data integration tools to connect to diverse data sources (databases, APIs, files).
Data modeling and cleansing capabilities.
Automated workflows and process orchestration.
Real-time reporting and analytics dashboards.
Mobile application development for on-the-go access to information and task management.
Vendor onboarding module with automated data capture and validation.

Preferred Technologies

Low-code platform (e.g., Power Apps, Mendix, OutSystems).

Cloud data architecture (e.g., Azure, Snowflake, Databricks).

Azure DevOps (Azure Pipelines, Azure Functions, Bicep, Application Insights).

Power Platform (Power Apps, SharePoint, Power BI).

Azure AD.

Integrations Required

Various internal databases (e.g., SQL Server, Oracle).
REST APIs from existing systems.
SharePoint.
Azure AD.

Non-Functional Requirements

Scalability to handle increasing data volumes and user load.
High availability and reliability.
Security to protect sensitive data.
Performance to ensure rapid response times.
Ease of use for business users with limited technical expertise.
Compliance with relevant data privacy regulations.

Expected Business Impact

Successful implementation of this project is expected to result in a 250-hour reduction in work for department heads per fleet voyage, improved data-driven decision-making, enhanced operational efficiency, reduced costs, and increased customer satisfaction. The project will enable Entertainment International to better leverage its data assets to gain a competitive advantage in the global travel market.