Executive Summary
The customer, a leading WiFi solutions provider, partnered with ITTStar to implement an AI-powered WiFi network analytics solution that provides deep visibility into guest behavior, network usage, and infrastructure performance. Built on AWS, the solution delivers interactive dashboards, predictive insights, and real-time analytics that help identify future network requirements, improve customer experience, and optimize operational efficiency across hospitality environments.
Customer Challenge
Organizations require predictive network monitoring using AWS to continuously monitor WiFi infrastructure, detect failures before they occur, and automate proactive alerts. AI-driven monitoring enables IT teams to improve uptime, reduce service disruptions, and deliver a superior wireless experience for end users.
Partner Solution
ITTStar implemented an AWS Data Lake analytics platform that centralized multiple data sources, enabling real-time analytics, predictive modeling, and operational intelligence. By integrating Amazon QuickSight and machine learning models, the solution provided complete visibility into network health, bandwidth utilization, device performance, and predictive maintenance.
Why AWS?
Data volumes are growing exponentially, and so are the costs to store and analyze that data. AWS provides a variety of comprehensive tools to help control costs – the costs of storing and analyzing all of your data at scale. AWS also provides the broadest and deepest portfolio of purpose-built analytics tools to get insights from the data from all kinds of data. The solution was designed to scale and support the customer to perform data movement, securely store and segment customer’s data, build deep analytics. AWS EC2 was used to compute and Dynamo DB for database. AWS Lake Formation was used to automate and eradicate manual processes reducing the estimated time from months to just a few days. Further machine learning models using AWS tools were built to forecast likely outcomes.
Results & Benefits
This case study demonstrates how an intelligent network monitoring solution powered by AWS analytics, machine learning, and predictive monitoring enables organizations to improve customer experience, reduce operational costs, minimize downtime, and optimize wireless infrastructure performance through data-driven decision-making.
About the Customer
The customer supplies a full range of network solutions to the hospitality and travel industry with proprietary solutions and services that integrate technology to heighten the guest experience. Their services include network intelligence, custom-designed solutions, real-time monitoring of speed, safety and connectivity.
They are an industry-leading provider of managed Wi-Fi solutions customized to the exact needs, specific layout, no matter its size. They serve thousands of hotels in the U.S. and Canada by accomplishing the ‘preferred network vendor’ status for major hotel brands. They also serve restaurants, healthcare facilities, airports, and other service industries.