Best Practices For Investment Data Warehousing

Financial institutions and investment firms increasingly rely on data for a variety of reasons – both operational and regulatory. The digital transformation ushered in by the FinTech movement raised the importance level of innovative tech within this sector. This includes the increased adoption of an IT component known as an investment data warehouse (IDW). An IDW helps financial companies support the complex processes typical of this type of business. This includes managing regulatory and compliance requirements – an important factor for any financial organization. So let’s look more closely at a few best practices for any investment data warehouse. Leverage these insights to ensure your organization’s IDW provides accurate and reliable data to support its operations.

What Are The Best Practices for Investment Data Warehousing?

Any Data Warehouse Must be a Single Source of Truth

When considering the regulatory requirements of financial institutions, their data warehouse must serve as a single source of truth. This level of trust also matters for employees of the firm, as well as any third parties using its data. Ultimately, having an IDW as a single source of data also improves operational efficiency. Without one, employees must deal with duplicate data from multiple sources, potentially leading to significant consistency issues.

Building an Agnostic Investment Data Warehouse is Critical

Any effective IDW boasts an agnostic design without any influence derived from the source systems feeding it data. These include applications used for portfolio management or accounting. Also, leverage intuitive naming standards for data elements to make it easier for those using the warehouse for analysis. This approach also makes it easier to modify the IDW as new sources are added or modified.

Keep Data Input and Reporting Layers Separate When Architecting an IDW

Any effective data warehouse with top-shelf performance boasts separate layers for data input and reporting. This modular architectural design facilitates adding new data sources and reporting engines when necessary. It remains one of the most critical best practices for any financial organization considering a data warehouse.

Involve Multiple Stakeholders in Data Warehouse Governance

Avoid making investment data warehouse governance the sole domain of your IT team. A committee made up of stakeholders across various teams in the organization offers a better approach. This ensures everyone has a say whenever enhancements or other critical changes need to happen. It also better supports any effort to implement standards for data quality and management.