Use case · Online version
Product Master
A single source of truth of all product data
Capture, validate, and enrich product data across multiple sources into a golden source that supports workflow from fund launch to liquidation.
Download PDFEasy data management for a complex world
Pressure on fees, the growing burden of regulations, and increasing data complexity. The number of reasons to increase operational efficiency and lower costs is ever growing. Data needs to be reliable, manual errors need to be eliminated, and processes need to be automated.
We know software projects have been unrelentingly time-consuming and costly. We want to do better, and provide services proportional to the worth of the problem to you.
Fencore’s Product Master captures, validates, and enriches all your product data across multiple sources into one source of truth. This golden source supports your workflow from fund launch to liquidation, across all products, markets, and jurisdictions.
Summary
Investment management firms often use multiple systems and Excel workbooks to maintain a view of all the static, reference, and dynamic data of their products and funds. Data sets could be stored as multiple versions, and slow consolidation makes the generation of reliable reports for internal, client, or regulatory use difficult.
Key features
Automated data pipelines
Create a single source of truth of product data that can be easily accessed for analysis or generating documents.
Easy maintenance
DataHub was built with non-technical users in mind. Add new fields to product data models and add new sources of data easily with drag-and-drop workflows.
Specialised workflows
DataHub establishes the relationships between umbrella and sub-funds and allows for easy navigation and viewing of performance figures regardless of complexity in hierarchies.
Product Master core features
Investment management firms operate more efficiently by having a clear and consolidated view of their product data including product names, benchmarks, performance metrics and regulatory information. Putting a product master in place enables them to:
- Import and export relevant data automatically and create a trusted single source of truth
- Allow users to view and interact with data via end-user dashboards
- Allow users to slice and dice data to extract required key figures
- Allow team members to make changes to data with adequate governance
- Support production of key documents
Common challenges and the Fencore solution
Common challenges
Working with multiple data silos
Product data spread across a multitude of systems and Excel workbooks owned by different stakeholders and existing in various formats.
Inconsistent data quality
The data sets used for producing KIIDs/KIDs and factsheets are creating inconsistencies in the documents.
Unable to have a reliable global view
Data was consolidated in insecure and unaudited locations and maintained manually, making it difficult to have a global view of all products or to extract required information.
Manual document generation
Data needed to be requested, extracted, prepared, and checked to generate KIIDs/KIDs, factsheets, and internal reports.
Fencore solution
A single source of truth
DataHub imports and aggregates data from all sources, and exports them to downstream systems.
Data validation with standard and custom rules
All data is subjected to data quality checks and custom business rules, and alerts are generated for violations.
Dashboards and workflows
Customisable dashboards enable intuitive navigation of fund hierarchies, enabling display and slicing and dicing of data for users.
Automated document generation
Data can be exported to downstream reporting systems, or built-in report templates can be automatically populated. User tasks and deadlines are tracked via the Kanban board feature.
Outcomes
- Greater operational efficiency
- Enhanced and consistent product data quality
- Enhanced oversight
- Reduced manual work
- Reduced risk
Ready to take the next step? Request a demo and we will show you a product master covering your funds, share classes, and documents.
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