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Denodo Platform is a data virtualization software that enables organizations to access, manage, and integrate data from multiple heterogeneous sources without moving the data from its original location. The software provides a unified data layer for real-time data access, supporting analytical and operational use cases. It features capabilities for metadata management, data governance, data security, and performance optimization. Denodo Platform addresses the challenge of data silos by facilitating a single point of access to distributed data sources, helping organizations gain insights and make informed business decisions without replicating or physically consolidating data.
IBM Cloud Pak for Data is a software designed to assist organizations with data integration, governance, and analytics. The software provides a unified platform that enables users to collect, organize, and analyze data from various sources. It supports capabilities such as data virtualization, machine learning model deployment, and metadata management. Users can benefit from tools for automating data preparation, cataloging assets, and managing data privacy and quality. IBM Cloud Pak for Data addresses challenges related to managing complex and distributed data environments by delivering a scalable solution for accessing, deploying, and monitoring data workflows across on-premises and cloud infrastructures.
IBM Data Fabric is a software that provides an integrated architecture to help organizations manage, govern, and access data across hybrid and multicloud environments. The software enables users to connect, automate, and unify data from disparate sources for analytics and decision-making while supporting data privacy and security requirements. It incorporates features such as data integration, cataloging, governance, quality, and observability to streamline the data lifecycle. IBM Data Fabric addresses business challenges related to data silos and complexity by offering consistent and automated data delivery and management, thereby supporting a variety of analytics, artificial intelligence, and machine learning initiatives.
Microsoft Fabric is a data analytics software that integrates multiple tools for data integration, data engineering, data warehousing, data science, real-time analytics and business intelligence into a single platform. The software supports connectivity across sources and provides a unified experience for data preparation, transformation and modeling. Microsoft Fabric enables organizations to store, manage and analyze data from various sources by offering access to lakehouse architecture, semantic models and reporting features. The software addresses challenges related to disparate data tools and data silos by offering centralized governance, security and collaboration functions aimed at streamlining analytics processes for business decision-making.
Oxane Panorama is our multi-asset platform, purpose-built to cover the entire spectrum of credit investments, comprehensively covering the broader Private Credit+ universe. It delivers a strong data foundation, seamless portfolio monitoring, leverage facility management (credit facility mgmt.), valuations, deal pipeline management, AI/ML-powered analytics, loan and agency services, and one-click reporting. Together, these capabilities empower global private credit funds, investment banks, institutional investors and alternative investment firms with the digital infrastructure they need to scale and regain control over their portfolios. With 1000+ professionals across London, New York, Gurgaon, and Hyderabad, Oxane’s platform hosts over $1.5 Trillion in client aggregate AUM for 100+ clients across 22+ global markets.
Precisely Data Integrity Suite is a software designed to manage data quality and governance across various business environments. The software enables organizations to integrate, validate, and enrich their data to ensure accuracy and consistency. It offers functionalities such as data profiling, data matching, and data monitoring to facilitate ongoing assessment and enhancement of information. The software supports data integration from multiple sources and allows users to establish rules for standardization and validation. By providing capabilities for data stewardship and metadata management, Precisely Data Integrity Suite addresses the challenge of maintaining reliable data for analytics, regulatory compliance, and operational efficiency. The suite aims to help organizations address issues related to incomplete, inaccurate, and disparate data sets across enterprise systems.
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Features of Data Management Solutions in Banking
Updated September 2025
Mandatory Features:
Comprehensive security and compliance: Provide role-based access control (RBAC) and PII protection and adhere to regulatory standards such as GDPR and PCI DSS, ensuring data security and compliance. Incorporating built-in features for audit trails and regulatory reporting is critical for meeting compliance requirements efficiently and reducing audit costs.
Robust data governance, interoperability and quality management: Implement automated metadata harvesting, data lineage tracking and configurable data quality management, ensuring data accuracy and consistency across systems.
Data observability and monitoring: Equip the platform with continuous monitoring of data integration pipelines to provide immediate insights into data health and ensure operational reliability.
Scalable data integration and processing: Enable the platform to handle relational and nonrelational data from diverse sources, supporting batch and streaming data processing to accommodate various use cases. Seamless integration with other systems like CRM, retail and core banking systems, and third-party applications is necessary to support high-volume transaction processing and data flow.
DevOps and DataOps integration: Incorporate automated CI/CD pipelines to streamline deployment cycles, enhancing agility and reducing time-to-market and operational costs.
Master data management (MDM): Support MDM to maintain a single, consistent view of key business entities across the organization.
Gartner defines data management (DM) solutions in banking as comprehensive platforms that manage vast volumes of sensitive and non-sensitive data, both relational and nonrelational forms, essential for strategic advantage. These solutions facilitate the integration of emerging technologies such as AI within advanced analytics, providing banks a competitive edge in use cases such as fraud detection, AML reporting and hyper personalization across applications. Delivered through a unified ecosystem, these platforms offer robust data governance, quality management, security and compliance features, including role-based access control and customer-sensitive data protection. They integrate AI/machine learning (ML) capabilities for workflow automation, predictive modeling and decision intelligence, ensuring regulatory adherence and enhancing data observability and risk management.
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