Case Study – Churn Prediction Model
The client, one of the oldest and most established banks in the UAE, faced significant customer attrition in its credit card division. To address this
October 8, 2024
Banking industry constantly works on ensuring consistent and personalized customer service across various touchpoints of a customer. Managing credit risk effectively by analyzing borrower behavior and market conditions is essential to minimize default rates. Leveraging business intelligence tools helps in improving decision-making processes and strategic planning. Generating high-quality leads and optimizing conversion rates require targeted marketing campaigns and personalized offers. Enhancing customer experience and satisfaction involves streamlining processes and addressing feedback promptly. Further, providing seamless access to banking services and information across multiple channels ensures a positive customer journey.
Our services play a vital role in helping banks by providing data-driven insights and strategic recommendations tailored to their specific needs and objectives. We also provide services which are mandated by the Central Banks guidelines on newly published consumer protection rights (CPR).
Deploying BI solutions to analyze customer data, transactional patterns, and market trends to derive actionable insights for strategic decision-making.
Conducting comprehensive brand audits to assess brand perception, identify strengths, weaknesses, and opportunities, and develop strategies to enhance brand equity and reputation in the market.
Conducting mystery shopping exercises to evaluate and improve customer service quality across various touchpoints in the banking process.
Implementing customer satisfaction surveys to gather feedback and insights on the banking experience, identifying areas for improvement.
Leveraging customer segmentation and predictive analytics to create targeted marketing campaigns, personalized offers, and promotions tailored to individual customer preferences and behaviors & campaign performance analytics.
Developing predictive analytics models to identify customers at risk of churning and implementing proactive retention strategies.
Designing and implementing customer loyalty programs to incentivize retention and reward loyal customers.
Utilizing data analytics to optimize banking operations, streamline processes, and improve efficiency in service delivery.
The client, one of the oldest and most established banks in the UAE, faced significant customer attrition in its credit card division. To address this
A major bank in KSA sought to enhance decision-making within the HR department by implementing predictive analytics to address employee attrition. The project involved conducting
A large multinational bank in Saudi Arabia faced significant challenges within its Human Resources (HR) department after implementing Oracle ERP across various business functions. The