How are investment firms changing their approach to data strategy?

Firms are increasingly viewing data as core infrastructure rather than supporting technology, re-architecting how it is governed, modeled, and delivered across the organization.

What challenges do fragmented data architectures present?

Fragmented architectures lead to duplicated datasets, inconsistent refresh cycles, and multiple versions of truth, hindering consolidated views and the application of advanced analytics.

Why is AI influencing buyside data management?

AI amplifies the need for high-quality, consistent, and governed data, as its outputs are only as reliable as the underlying data inputs, requiring structured and transparent governance.

Home / Business and Economy / Data is New Infrastructure: Buyside Reimagines Strategy

Data is New Infrastructure: Buyside Reimagines Strategy

28 Jan

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Summary

Firms are shifting from viewing data as support to core infrastructure.
Intentional data models replace historical, fragmented architectures.
AI amplifies the need for high-quality, consistent, and governed data.

Data is New Infrastructure: Buyside Reimagines Strategy

Discussions at the Bloomberg Investment Management Summit highlighted a significant trend: buyside firms are increasingly treating data as core infrastructure. This strategic re-evaluation moves data beyond a supporting role to become a foundational element of operations, driven by growing complexity and advanced analytics.

Many firms still grapple with data architectures built incrementally over time, leading to duplication and inconsistency. This fragmentation becomes particularly apparent during stressful market conditions and impedes the adoption of advanced analytics like AI, which require clean, normalized data.

The focus is shifting from managing disparate files to developing unified data models. This approach emphasizes separation of concerns, with data management as a shared layer, enabling standardization, reduced redundancy, and faster access to insights.