SmartFAIR
SmartFAIR is a modern accounting generator solution offered by PT Abhimata Persada that enables the efficient posting of transaction-oriented accounting entries. It offers a parallel, double-entry, business-event-driven financial accounting system, capable of handling multi-GAAP, multi-company, and multi-currency requirements through multiple general ledgers. The SmartFAIR software is designed to minimize the cost and effort involved in fulfilling national and international accounting standards while also offering pre-processing features such as cash flow generation, parallel GAAP capability, securities position building, and product building/splitting. This allows for PSAK-compliant accounting entries and regulatory reporting. Additionally, SmartFAIR offers a comprehensive profitability solution that offers one-stop overall planning and profitability analysis within financial institutions through its functions for sales profitability, cost accounting, unit cost accounting, budgeting, and planning, pricing, and reporting. The performance data required are determined and published for all management levels in the dimension’s customer, product, organization, etc.

GRIT – Global Reporting Interface Tools is a comprehensive and integrated reporting solution designed for the banking industry. Launched in 2012, GRIT Suite has been widely adopted by many banks in Indonesia and is recognized for its ability to absorb data from almost any system in any format, making it a versatile and flexible solution.

One of the key benefits of GRIT Suite is its ability to provide multi-input, multi-output, and multi-format reporting. With GRIT Suite, banks can extract, transform, cleanse, validate, calculate, enrich, and monitor exceptions in their data, and present it in a visually appealing format tailored to their clients’ preferences. This includes Word, PDF, PowerPoint, HTML, and XML, all driven by easy-to-maintain, standardized templates.

GRIT Suite is also designed to integrate with a wide range of interfaces, including treasury system interface, general ledger (GL) interface, SWIFT and RTGS interface, BI-SSSS Interface, and BI Reporting Interface. The applications are built on Abhimata’s common framework, which is based on J2EE n-tier web Application Platform SQL Server 2016, .Net Technology (VB or C#), and open architecture with XML, UML, flowchart, SQL Server 2016, HTTP, HTTPS, SSL, HTML, CSS, JMS, SMTP/FTP, and others.

GRIT – Global Reporting Interface Tools is a reliable and robust reporting solution that provides banks with a one-stop solution for all their reporting needs. With its flexible architecture, multi-input, multi-output, and multi-format reporting capabilities, GRIT Suite is the perfect solution for any bank looking to streamline their reporting process and improve the quality of their output.

SDMX, or Statistical Data and Metadata eXchange, is an international initiative that aims to standardize and modernize the mechanisms and processes for the exchange of statistical data and metadata among international organizations and their member countries. This initiative was launched in the late 1990s by the International Monetary Fund (IMF), the European Central Bank (ECB), and the Bank for International Settlements (BIS), and has since grown to include participation from many other organizations and countries.

The primary goal of SDMX is to create a standard format for the exchange of statistical data and metadata, which would make it easier for organizations to share information and collaborate. This standard format allows for the efficient transfer of data between systems, regardless of the technology used, and enables organizations to easily analyze, compare, and combine data from different sources.

To achieve this goal, SDMX has developed a set of technical standards, guidelines, and best practices for the exchange of statistical data and metadata. These standards are based on a common data structure and a common metadata structure, which allows for the creation of a common data model for all statistical data. SDMX also provides a set of tools and software to assist organizations in implementing the standards and guidelines.

In addition to standardizing the exchange of statistical data and metadata, SDMX also aims to improve the quality, comparability, and timeliness of statistical data. By using a common data model, organizations can ensure that data is collected and reported in a consistent manner, which makes it easier to compare and analyze data from different sources.

SDMX is an important initiative that helps organizations to share and exchange statistical data and metadata in a standardized and efficient way. It enables organizations to improve the quality, comparability, and timeliness of their statistical data and make better-informed decisions. With the use of SDMX, organizations can also facilitate the collaboration and coordination among international organizations and their member countries, which would ultimately lead to better-informed policies and decisions on a global scale.

Introducing the next generation of reconciliation software for banks – a powerful, user-friendly solution that makes reconciling accounts faster and more efficient than ever before. With our cutting-edge software, financial institutions can streamline their reconciliation process, automate data import and matching, and easily identify and resolve any discrepancies.

Our software solution includes a wide range of advanced features that help to improve accuracy, control, and efficiency. For example, our automated exception handling feature allows you to quickly and easily identify and resolve any discrepancies in your financial records, while our workflow management feature enables you to track the status of your reconciliation tasks and assign them to the appropriate team members.

Our reconciliation software is designed to meet all regulatory compliance requirements, providing an audit trail of all reconciliation activities. This ensures that your institution is always in compliance with the latest regulations and reduces the risk of costly fines.

With our solution, you can reduce costs associated with manual reconciliation processes and gain a competitive edge in the market. Moreover, you can also improve the accuracy and control of your financial data and gain real-time insights into your institution’s financial performance.

Don’t let manually reconciling accounts slow down your financial institution. Upgrade to our state-of-the-art reconciliation software and experience the benefits of increased efficiency, improved accuracy, and regulatory compliance. Contact us today to learn more about our products and how we can help your institution.

Our Fraud Detection solution is a cross-channel payment fraud management solution designed to manage risk across a financial institution’s business lines and customer accounts. This solution leverages the latest in fraud detection techniques including analytics and expertly defined rules with a variety of scoring methods for fast, accurate and flexible response to the evolving and growing nature of fraud.

Through its custom neural network technology, our Fraud Detection compares the characteristics of each customer’s activity with the custom fraud model and recorded patterns of behaviour for every account holder it sees. It then assesses and scores the risk in near-real or real time for each transaction using a variety of advanced algorithms, parameters, and accumulated statistics. In addition, this solution provides reviewers with precise reasons for the score, improving transaction analysis.

Our Fraud Detection solution comprehensive Microsoft Windows-based workflow management capabilities to fraud management, with expert rules-based strategies at the core of this process. This component builds on the fraud expertise of the staff by allowing the creation of real-time rules. Transaction activity matching a rule generates alerts, which are delivered to reviewers via a user-friendly Java client interface. A comprehensive set of tools enables supervisors to direct workflow and manage reviewers. This solution captures and maintains statistics on fraud savings and losses and reviewer and model performance to provide valuable management information.