Use case · Online version

Operational Data Store

An enterprise-wide single source of truth across your entire investment processes, front to back, for all asset classes

Simplify integration, guarantee consistency, reduce operational cost, and generate alpha — without unrelentingly time-consuming and costly data management projects.

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Connect
Universal connectors to vendors, PMS, custodians, and more
Master
Automated single source of truth with quality checks and recon
Operate
Dashboards, lineage, governance, and automated reports

Easy 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 and understand the challenges facing the operations of investment managers, and we also know that data management projects have been unrelentingly time-consuming and costly. We are here to change that.

Fencore’s operational data store provides an enterprise-wide single source of truth across your entire investment processes, front to back, for all asset classes. It simplifies integration with up- and downstream systems, guarantees data consistency, and helps you reduce operational cost and generate alpha.

Summary

Investment management firms are often relying on a combination of in-house built systems and out-of-date data management platforms designed to be run on-premise. Their data sets are stored in multiple systems, are inconsistent and of poor or unknown data quality, and slow aggregation makes the generation of reliable reports for internal, client, or regulatory use difficult.

Key features

  • High interoperability

    DataHub can be easily connected to the required data sources such as market data vendors, portfolio management systems, custodians and others.

  • Fast and flexible functionality

    DataHub’s features are robust and highly customisable, with the required flexibility to meet an organisation’s specific needs while still staying agile and quick to deploy.

  • Critical workflows

    Datasets can be validated, aggregated, and reconciled, and used for monitoring and reporting workflows covering the investment book of record, accounting book of record, and performance book of record needs.

Operational Data Store core features

Investment management firms can benefit greatly from having an enterprise-wide, consolidated view of their market, reference and investment data. Putting an operational data store in place enables them to:

  • Import and export all data automatically and create a trusted single source of truth
  • Improve data quality with automated checks and reconciliation
  • Allow users to view and interact with data via end-user dashboards
  • Allow users to have access to the data for analysis and audit trail purposes
  • Allow team members to make changes to data with adequate oversight
  • Improve data lineage and data governance
  • Alert users to important deadlines

Common challenges and the Fencore solution

Common challenges

  1. Difficult to onboard data sources

    Adding new sources of data from vendors, systems, and PDFs can be challenging and time-consuming.

  2. Working with multiple data silos

    Data spread across a multitude of systems and received from multiple sources, at different times, and in various formats.

  3. Manual processes

    Data is consolidated and reconciled manually in insecure and unaudited locations.

  4. Poor data quality

    Data existing with inconsistencies, errors, and missing values.

  5. Manual report generation

    Reports need to be manually populated by data that also needs to be manually aggregated and enriched.

Fencore solution

  1. Easy connectivity

    DataHub has universal connectors that connect to any data source and flexible data models that are easily configured.

  2. A single source of truth

    All data is automatically aggregated and stored and exported to downstream systems.

  3. Automated workflows

    Data is transformed, filtered or derived automatically, and is made available for users to review.

  4. 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.

  5. Automated report generation

    Report templates can be automatically populated. User tasks and deadlines are tracked via the Kanban board feature.

Benefits

  • Greater operational efficiency
  • Enhanced and consistent data quality
  • Enhanced oversight
  • Reduced manual work
  • Reduced risk

Ready to take the next step? Request a demo and we will show you an operational data store fitted to your sources and workflows.

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