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Exepno Banking

Exepno Banking Performance Management System

BISEES’s unique solution, Exepno Banking Performance Management System, is a comprehensive, pre-configured analytical platform tailored specifically for the financial industry. With our system, banks can easily adapt to shifting market conditions, track their performance, optimize their operations, and drive growth through financial and market share expansion. Utilizing our platform, banks can gain valuable insights into their operations, risk management, and customer relationships, allowing them to make data-driven decisions that drive success.

  • Banking Business Model

    Our platform is built on a cutting-edge banking business model, providing easy-to-use yet powerful solutions for critical areas such as data retrieval, monitoring key performance indicators, data visualization, reporting, and identifying underlying causes. At the same time, it addresses more complex banking requirements through the integration of advanced machine learning and artificial intelligence modules.

  • On Google Cloud

    It is Cloud-based to offer superior performance compared to traditional on-premises solutions, as it is built on powerful, scalable infrastructure that can handle large amounts of data. This means faster query times and more efficient data processing, leading to better decision-making and more effective business operations.

BISEES Implements A Five-Point Methodology When Successfully Implementing Exepno Performance Management System.

It is a powerful, all-in-one solution that empowers your bank to stay ahead of the competition. With its pre-packaged and ready-to-use features, your bank can easily adapt to the ever-changing market conditions, and operate more efficiently. The system allows you to leverage the insights into your operations, risk management and customer relationships to drive growth in terms of revenue and market share acquisition. It's an essential tool that enables your bank to make informed and data-driven decisions that can propel your business forward.

  • Focus on the biggest Opportunities first
  • Start with the Questions, not data
  • Embed Insight to drive Action
  • Keep existing capabilities while adding new ones
  • Build the new analytics foundation according to an information agenda

Why Exepno Performance Management?

Exepno Performance Management System can help your bank become more intelligent by embedding analytics to convert insights into actions. One of the key benefits of our solution for banking customers is the integration of our system with Google Cloud Platform (GCP) and Google Workspace. This integration enables your bank to take advantage of the cutting-edge technologies offered by GCP and Google Workspace, and thus, further enhance the performance and efficiency of your operations.

With the integration of Exepno Performance Management System and Google Cloud, decision-makers in your bank can access renowned Google Cloud tools. Exepno Performance uses BigQuery to enhance the digital transformation in the banking sector. This allows them to make more data-driven decisions and increase their operational efficiency.

The Blueprints for Banking Performance Management System cover the following critical areas:

Google Cloud


By moving to a Exepno Performance Management, banks can reduce their IT costs significantly. They do not need to invest in expensive hardware or worry about the costs of maintaining and upgrading on-premises systems. Additionally, we offer a pay-as-you-go model, which means that banks only pay for the resources they use.

Data Extraction

Data is extracted from various sources such as databases, logs, and files, using Cloud Dataflow. This data is then stored in Cloud Storage.

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Data Transformation

Dataflow is then used to transform the data using Apache Beam (or Cloud Dataflow) to clean, filter and transform the data, to fit the data model of the data warehouse.

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Data Loading

The transformed data is then loaded into BigQuery. BigQuery enables running SQL-like queries on the data, providing a flexible and powerful way to analyze the data.

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Data Management

The data is then indexed and cataloged using Cloud Data Catalog, making it easy to discover and understand the data across the organization.

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Data Analysis

Cloud Datalab is used to interactively explore, analyze, and visualize the data stored in BigQuery. It allows to run ad-hoc queries, build machine learning models, and create visualizations to gain insights from the data.

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Automation and Scheduling

Cloud Composer is used to schedule and automate the pipeline, ensuring that data is extracted, transformed, and loaded into the data warehouse at regular intervals.

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Monitoring and Management

Stackdriver is used to monitor the pipeline and to troubleshoot any issues that may arise during the process.

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Easy to integrate

No matter what type of core banking systems your organization currently uses, the Banking Performance Management System is a pre-configured solution that is designed to seamlessly integrate with your existing systems. This allows you to maximize the value of your data and gain deeper insights into your operations, risk management, and customer relationships. The system is tailored and optimized to work with a wide range of core banking systems, including those from leading vendors such as Finacle, T24, SAP, and more. This means that you can easily add the system to your existing technology stack, without the need for costly and time-consuming system migrations. The system is also designed to be flexible and customizable, so it can be easily adapted to meet the unique needs of your organization. With the ability to easily integrate with your existing systems, the Banking Performance Management System is an ideal solution for organizations looking to enhance their data exploration and insight capabilities.

  • Maximizes the value
  • Integrates seamlessly
  • Is flexible and customizable

Financial analysis

  • Product Analysis
  • Outstanding Analysis
  • Account Balances
  • Loan Analysis
  • Investment Arrangement Analysis
  • Insurance Product Analysis
  • Structure Finance Analysis
  • Liquidity Analysis
  • Fund Maturity Analysis
  • Non-Performing Loan Analysis
  • Interest Rate Risk Analysis
  • Credit Risk Analysis
  • Debt Restructure Analysis
  • Insurance Risk Profile
  • Product Profitability
  • What-if Analysis
  • Branch Office Scorecards

Customer Analysis

  • Campaign Analysis
  • Cross Sell Analysis
  • Customer Attrition Analysis
  • Customer Behavior
  • Customer Delinquency Analysis
  • Customer Investment Profile
  • Customer Profitability
  • Channel Profitability
  • Location Profitability
  • Organization Unit Profitability
  • IWallet Share Analysis
  • Individual Customer Profile
  • Involved Party Exposure
  • Marketing Segmentation
  • Market Basket Analysis
  • What-if Analysis
  • Branch Office Scorecards
  • Up Sell Analysis
  • Demographic Analysis

Customer Behavioral

  • Transaction Volume Analysis
  • Customer Interaction Analysis
  • Customer Loyalty
  • Branch Network Planning
  • Branch Office Utilization
  • Response Times
  • Transaction Type Analysis
  • Employee Productivity
  • Channel Efficiency
  • Trend Analysis
  • Cash Flow Analysis
  • Transaction History
  • Liquidity Analysis
Projects Executed
Data Analytics
Data Management
Satisfied Customers

Exepno Performance using BigQuery

Here are several reasons why we chose BigQuery for the data warehouse:

  • Scalability: BigQuery is a fully-managed, serverless data warehouse that allows you to scale up or down based on your needs. This means that you can store and analyze massive amounts of data without worrying about the limitations of traditional data warehousing solutions.
  • Speed: BigQuery is optimized for fast queries and supports parallel processing, so you can get results quickly even when working with large datasets.
  • Cost-efficiency: With BigQuery, you only pay for what you use, and you can easily control costs by adjusting the amount of resources you allocate to your queries.
  • Integrations: BigQuery integrates with a variety of other Google Cloud services, as well as third-party tools and platforms, making it easy to incorporate into your existing infrastructure.
  • Security: BigQuery provides strong data encryption, access controls, and audit logging, which are critical for protecting sensitive financial data.

Overall, BigQuery provides a powerful, cost-effective, and secure way to store and analyze large amounts of data, enabling banks to make better-informed decisions and improve their operations.

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Better Performance Monitoring


Improved Data Analysis


Streamlined Reporting


Seamless Integration


Increased Security


Enhanced Data Association


Managed Deployment


Improved Collaboration

Streamlining Decision-Making with the Exepno Performance Management System

The Exepno Performance Management System offers a seamless and integrated experience for monitoring, analyzing, and reporting performance data. This system allows all levels of management, from the CEO, CFO, and Treasury to front-line operation managers, to access and share critical information, which is more important than ever in today's uncertain economy. With EPM, decision-making is streamlined and improved, allowing for more efficient and effective use of resources. It also promotes collaboration across different departments and teams, enabling a more cohesive approach to decision-making and problem-solving.


Exepno Banking Performance PDF file


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