Data Fabric
Transform your data into action
Unify data from diverse sources into a cohesive, BIAN-aligned analytics and operational data store. Enable a comprehensive customer view, supercharge your analytics, and simplify data product development.
Democratize data
Break down silos and democratize your data, empowering teams with a comprehensive customer view for business intelligence, analytics, and data product creation
Access industry aligned data sets
Leverage Zafin’s BIAN-aligned data sets for data integration, reporting and model development. Go further to model metrics that can be exposed as aggregates via data APIs for use across channel applications
Rapidly create data products
Innovate faster by easily creating data products that can be used to make informed decisions, solve problems, or support various business needs
How we do it
Unlock the power of your first-party data
Zafin IO data pipelines
Ingest data into the data fabric through Zafin IO, supporting both streaming and batch ingestion methods
Transform layer
Conduct data transformation on raw data from various cores and pricing execution data from Zafin’s pricing engine. Transform data into user-friendly datasets, encompassing data quality testing and lineage tracking for data entering the data fabric
Semantics layer
Utilize the semantic layer to model metrics, aggregating data from both the bank’s information and pricing execution data
Data APIs
Expose data through standard APIs, offering an API for serving aggregated metric data and GraphQL-based data access APIs for performant and flexible access to the curated datasets
Data stores
Leverage data stores to serve operational and analytical workloads and enable multiple data usage patterns including data transformation and high-concurrency data serving
Democratize data
Simplify querying, unite data representation, and foster consistent collaboration with the semantic layer
Simplified data querying
Streamline data access with the banking semantic layer, offering a business-oriented interface to define metrics and standard APIs to access metric-related data. Developers can obtain near real-time data without the need for complex SQL queries or understanding underlying data structures
Unified data representation
Leverage the semantic layer to serve as a translation bridge, harmonizing data from diverse sources into common, comprehensible metrics. This fosters collaboration by ensuring that marketing, product, and operations can interpret and define metrics consistently
Access industry aligned data sets
Enhance integration and compliance with BIAN-aligned, standardized, and unified data models, empowering valuable customer propositions
Enhanced interoperability
Streamline integration and interoperability in a multi-core environment with a BIAN-aligned data model. This standard model enhances the efficient exchange of data across various functions and lines of business
Accelerated innovation
Implement a standardized data model to create a common language and structure for the banking industry. This accelerates product development by enabling new methods of bundling products and creating relationship-centric propositions
Regulatory compliance
Establish a unified data model to enhance data reporting and achieve effective regulatory compliance. This alignment ensures the availability and consistent definition of necessary data, facilitating compliance with regulatory requirements and effective risk monitoring
Rapidly create data products
Uncover customer insights and enhance experiences with personalized data products built on near real-time data
Comprehensive customer insights
Access customer, product, and transaction data in the data fabric for a clear view of customer behaviour. Leverage this rich data source to delve into customer insights, making it easier to develop personalized data products tailored to specific segments
Near real-time data access
Take advantage of near real-time data, available via APIs, to develop data products providing customers with timely information, thus enhancing their experience. This may include interactive transaction views by spend category or alerts for exceeding spend thresholds
1 { 2 "account_id" : "9a4813f5-7894-4d7c-ae78-0cd8b2cf8691", 3 "metric_id" : "5f0d9e87-2e21-4f1c-b25e-37e4e465e901", 4 "metric_name" : "Sum of daily value of eligible transactions", 5 "window_size" : "day", 6 "starting_on" : "2023-10-01T00:00:00Z", 7 "ending_before" : "2023-10-21T00:00:00Z", 8 "data" : [ 9 { 10 "starting_on" : "2023-10-01T00:00:00Z", 11 "ending_before" : "2023-10-02T00:00:00Z", 12 "value" : "100" 13 }, 14 { 15 "starting_on" : "2023-10-02T00:00:00Z", 16 "ending_before" : "2023-10-03T00:00:00Z", 17 "value" : "75" 18 }, 19 { 20 "starting_on" : "2023-10-03T00:00:00Z", 21 "ending_before" : "2023-10-04T00:00:00Z", 22 "value" : "0" 23 },
Connect with us
Explore how unified data drives deeper insights, faster decisions, and scalable banking innovation.
