Summary
Insurance CIOs are moving beyond static reporting dashboards toward total portfolio views that provide real-time visibility into portfolio exposures, liquidity, risk, and asset-liability management. As portfolios become more complex and data remains fragmented across systems, unified investment data platforms are emerging as the foundation for faster decisions, compliance, and operational efficiency.
Relying on yesterday’s data is no longer just operational inefficiency. It is a strategic liability. Many legacy, on-prem platforms were built for a bygone era when insurance asset owners allocated stocks and bonds. As insurance company CIOs have moved from total reliance on transparent, liquid asset classes to a mix of public and alternative, illiquid assets, it has become increasingly onerous to pull reports, manage risk, execute analytics, and optimize allocation strategies. Chief investment officers (CIOs) have been asking for a total portfolio view. Simply put, their investment teams need the ability to see where they stand at any given moment. There is a competitive edge up for grabs, and that advantage comes in the form of real-time investment data.
The public-private asset class convergence is perhaps the data tech problem of the decade, as insurers have increasingly embraced alternative asset classes. In a 2025 study, global asset owners said their #1 internal investment challenge is being able to optimize asset allocation strategies (46%), while their #1 data and technology challenge was data integration across different sources (50%).i CIOs need a total portfolio view of exposures, regardless of their asset class mix. But that is no snap of the fingers when working with fragmented, messy data sprawl and outdated systems.
We’re talking about enormous volumes of disparate structured and unstructured data, flowing into, throughout, and out of systems, that must be cleanly normalized and consolidated. Modern data infrastructure that enables automation and the standardization and unification of data are prerequisites to real-time portfolio visibility.
“Multi-asset portfolios involve both liquid and illiquid exposures, public and private market investments, and structured and unstructured data sources. Getting timely, standardized, and reconciled data across all asset types is extremely difficult. Private markets, for instance, often involve lags in valuation, inconsistent reporting formats, and incomplete data sets. This poses a fundamental barrier to achieving a unified portfolio view. Many investment platforms are still rooted in legacy systems that were not designed for whole-of-fund visibility. They typically model portfolios in a hierarchical structure tied to individual mandates. To compensate, firms often lean on spreadsheets or generic BI tools, but those have limitations in terms of scalability, auditability, and real-time analysis.” — Rein van Rooyen, Cutter Associatesii
Many organizations still spend the first five to ten business days of every month producing and reconciling dozens of reports from different systems. The days of holding out for monthly performance, risk, and exposures, and asset-liability matching (ALM) reports are fading into the past.
Moreover, large, multinational insurance companies that manage sizable books of business in the U.S., Canada, and the UK are subject to different accounting regimes and different regulatory regimes. These global companies are often a subsidiaries of a larger holding company, which is then a subsidiary of another. Achieving look-through into the business lines relies on their systems’ capability to amalgamate the data. They need a larger view into what's going on globally across the board. However, different insurer coverage lines have different needs when it comes to a total portfolio view.
At life insurance and annuities companies, CIOs need to quickly and reliably understand their exposure to certain business lines and divisions.
Total Portfolio View Needs:
This is not an exhaustive list, but here are a few examples of priority needs and concerns that we have been hearing from insurance asset owners.
Reporting has three key areas: 1) Scenarios 2) Sensitivities (Greeks, key rate durations (KRD), mortgage analytics) 3) Cash Flows (IRR scenarios via 360-month projections; liquidity cashflows across custodian assets, cash, derivatives book, and collateral; accounting cashflows for income and principal generation).
Total Portfolio View Needs:
A property and casualty company may manage investments across five legal entities and two affiliates under its umbrella. They must generate buttoned-up reporting to regulators and the Board. This calls for reference data consolidated in multiple ways, up to 10 levels of hierarchy using the firm's preferred classifications and reporting structures.
Meanwhile, for their Yellow Book reporting, they must break the data back out by individual legal entity, reporting line, and affiliate for statutory filing. For years, less flexible reporting tools and data platforms had their teams assembling, reconciling, and restructuring the data for each reporting cycle.
Total Portfolio View Needs:
A static reporting dashboard and a real-time investment view are fundamentally different tools, and insurers still relying on the former are making ALM decisions and regulatory filings on data that was accurate at close of business yesterday. Without a centralized, real-time view, different functional teams govern their own data silos. Therefore, executives receive conflicting data, causing misaligned views on risk and performance.
Not all investment teams need to generate daily reports, but most are asking for daily monitoring capabilities:
In the event of market-moving news, firms without real-time visibility face a madhouse of manual exercises to determine exactly who holds what and in which jurisdiction. CIOs recognize the need for granular portfolio look-through analysis for hidden risks and correlations during these occurrences. This has become essential in the past few years of constant macroeconomic and geopolitical disruptions.
To be fair, cloud and data transformations cost large insurance companies a lot of time and money. And now, operationalizing AI is adding to the technology investment budgets. The “if it ain’t broke don’t fix it” viewpoint had its merits a few years ago. But the insurance industry’s resistance to investment operations modernization is withering. Legacy system modernization is a top focus area for insurers, with many pursuing multi-year cloud-based transformations.iii Many are motivated by the fear that AI-driven models might render those old systems completely obsolete. Perhaps more precisely, those AI-driven models won’t work well without foundational data readiness.
Most investment ops teams are running five-to-seven point solutions, each requiring bespoke integration. The compounding maintenance burden of that stack is what makes real-time visibility structurally impossible. Moreover, data flows become bottlenecked. The answer is a centralized data platform that brings all of the rogue data flows together in a standardized, centralized place. What follows are dynamic reporting dashboards, personalized, scheduled reporting workflows, and a clean, total portfolio view.
Not long ago, intra-month reporting was a novelty in the same way generative AI was. Now, like AI, intra-month reporting and real-time monitoring are must-haves. There is an equation for real-time portfolio visibility. The denominator is a cloud-native, unified data platform that ensures accuracy, simplifies audit trails, and accelerates the cycle. The numerator is the security master, an accurate golden record of the assets or instruments that are traded or invested in the financial markets.
Insurers that have not replaced static reporting dashboards with real-time investment visibility face seen and unseen risks to operations, ALM, and client satisfaction. Technical debt accrued over years of postponing data transformation charges exorbitant interest: falling behind, managing investments with yesterday's information while competitors operate from a continuously updated view of portfolio risk, liquidity, and exposure.
Phillip Bodenstab
Phil joined Arcesium in 2024 after 16 years at FactSet Research Systems where he focused on specialty sales of investment portfolio performance, market sensitivity and risk analytics for insurers and asset managers. At Arcesium, Phil partners with sales teams on acquiring new clients as well as retaining and expanding existing client relationships through technical demonstrations of Arcesium's trade lifecycle management and domain-aware data platform solutions.
Sources:
[i] Northern Trust, 2025. https://www.northerntrust.com/content/dam/northerntrust/asset-servicing/global/en/documents/insights-research/2025/northern-trust-global-asset-owner-peer-study-2025.pdf
[ii] Cutter Associates, July 30, 2025. https://www.cutterassociates.com/insights/unpacking-the-complexities-of-asset-allocation-and-a-total-portfolio-view
[iii] Deloitte, October 9, 2025. https://www.deloitte.com/us/en/insights/industry/financial-services/financial-services-industry-outlooks/insurance-industry-outlook.html
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