Leveraging Big Data Analytics for Predictive Maintenance in Banking: A Case Study of Bank SAFN$$s ATM Network

Background: The banking industry is increasingly reliant on technology, and ATMs form a critical part of this infrastructure. However, ATM breakdowns can lead to customer dissatisfaction, reputational damage, potential customer churn, and loss of income. Bank SAFN is keen on implementing a predictive maintenance strategy for its ATMs to mitigate these issues.

Task: Develop a comprehensive presentation that demonstrates how data analytics can significantly benefit this business scenario. Your pitch should convincingly illustrate the transformative impact of data analytics on Bank SAFN$$s ATM operations and maintenance. To further help your team understand the requirements, SAFN has provided you the following business use cases they would like to prioritise:

$1)$Predicting Failure Analysis: Developing a model to predict potential ATM failures, enabling proactive maintenance and reducing downtime.

$2)$Optimizing Repair Operations: Proposing a strategy to minimize the Mean Time to Repair $($MTTR$)$ by optimizing the routing of maintenance personnel.

$3)$Real$-$Time Operational and Strategic Reporting: Designing a real$-$time reporting system that provides operational insights, such as ATM usage patterns, peak usage times, and frequent failure points, while also outlining a strategic reporting framework to guide decision$-$making at the management level, such as de$1.$ Description of research problem and business benefits $($no quantitative results are required$).$

$4)$ Data Management Strategy: Choose the correct Data Architecture to address data collection, storage, quality, and security for effective analytics.

$5)$ Predictive Failure Analysis: Present the Data Science Goals and chosen Machine Learning model to predict ATM failures, reducing downtime and enhancing customer satisfaction.

$6)$ Optimized Repair Operations: Propose a digital business strategy to optimize maintenance personnel routing, minimizing Mean Time to Repair $($MTTR$)$ by using digital platforms.

$7)$ Real$-$Time and Strategic Reporting: Design real$-$time reporting capturing usage patterns and outline a strategic framework for management decisions.termining optimal locations for new ATMs based on usage data.