https://store-images.s-microsoft.com/image/apps.8491.cc034a21-43db-4bd6-94ed-7e3675000efb.c1c6e697-4b81-4c8c-9eaf-b5a831facfe1.6e3e1ff9-8889-4b50-8d83-cfa092566e68

Banking Analytics Solution

by Neostats Analytics Solutions

Reusable data model with Fabric pipeline and Power BI reporting for banking insights.

Banking Challenges and the Need for Unified Data Analytics
Banks face the challenge of managing large volumes of fragmented data across products, sales, risk, and fraud detection. Siloed systems hinder the ability to generate actionable insights, impacting operational efficiency, regulatory compliance, and customer satisfaction.

Proposed Solution: Banking Data Analytics on Microsoft Fabric
NeoStats' Banking Data Analytics Solution leverages a reusable data model powered by Microsoft Fabric pipelines to centralize banking data and deliver actionable insights through Power BI dashboards. This solution enables financial institutions to optimize operations, mitigate risks, and improve customer experiences by leveraging a unified data platform.

Key Features of the Banking Data Analytics Solution:
  • Reusable Data Model: A pre-built, scalable data model tailored to banking operations, covering critical metrics like product performance, sales, and risk.
  • Microsoft Fabric Data Pipeline: Automated data processing using Medallion Architecture (Bronze, Silver, Gold layers) to ensure clean, reliable, and compliant data.
  • Power BI Dashboards: Real-time reporting on product performance, sales metrics, campaign tracking, risk portfolios, fraud detection, and credit scorecard monitoring.
  • Regulatory Compliance and Risk Insights: Enhance risk analysis and ensure adherence to banking regulations with secure and compliant data handling.
  • Customer-Centric Analytics: Gain deeper insights into customer segmentation, behavior, and preferences to enhance customer experiences and retention.

Who Benefits from This Offer?
This solution is designed for banks, financial institutions, and decision-makers aiming to streamline operations, improve risk management, and gain actionable insights for enhanced financial performance. It addresses challenges like fragmented data, regulatory requirements, and operational inefficiencies.

With the Banking Data Analytics on Microsoft Fabric, financial institutions can transition to a unified data strategy, leveraging reusable models, scalable pipelines, and interactive dashboards to achieve operational excellence and regulatory compliance.

At a glance

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