Streamlining the Ledger: Data Organization for Insurance Reporting

Insurance reporting processes are a slow-moving train wreck. Slow is the key word here as today’s sophisticated investment strategies unfurl layers of complexity in reporting and compliance — and pretty much every other operation in finance. Insurance chief investment officers (CIOs) continue to move their allocations into opaque alternative asset classes and are embracing more complex entity and investment structures in search of greater rewards for slightly less risk. Alts are giving them longer-term value creation, but with non-traditional structures come non-traditional challenges.   

Predictably, asset owners say their top technological challenge is data integration across different sources, followed by data accuracy, data consistency, and timeliness of data.ⁱ In my last article, I outlined the necessity of a unified data platform to help firms deal with fragmented systems and disparate data flows by orchestrating, normalizing, and centralizing all the security master and reference data.  

Now, let’s zoom in to how sophisticated data management capabilities are indispensable to streamlining insurance reporting processes. 

Insurance reporting is buckling under data complexity 

In the insurance industry, financial reporting is understandably strenuous. Like their institutional investor colleagues at pension funds and university endowments, insurers are slogging through a transformation of operating models and tech stacks. Manual reporting and tracking processes are still far too prevalent, costing companies time, money, and precision. Many firms suffer from having data spread across multiple different systems that do not talk to each other. This leads to error-prone and tardy reporting. If a key person is out of the office, for example, a report that must be filed by business day 5 might not go out until day 8, missing internal reporting guidelines or, externally, strict regulatory thresholds.  

For many firms, problems often begin because they can’t generate centralized security masters, which is an accurate record of the assets or instruments that are traded or invested in financial markets. Each security master will have attributes including basic identifiers, issuers and capital structure data, terms and conditions, pricing and valuation setup, classifications and hierarchies, credit and risk data, regulatory and compliance attributes, tax and accounting attributes. If your security master captures all this correctly, there is not much you can’t do, from reporting to driving enhanced income generation for insurance company owners (stock, mutual, reciprocal, etc).  

Stakeholder alert: national regulators call for transparency 

Large institutional asset owners’ concerns over regulatory risks increased significantly in 2025, by 12%, likely in response to a perception of uncertainty in policymaking.ⁱⁱ For insurers, the most critical reports are the quarterly and annual statements filed with the National Association of Insurance Commissioners (NAIC).  

NAIC’s risk-based capital (RBC) task force is on an “equal capital for equal risk” mission to increase the transparency of opaque private asset classes, focused on challenges in private securities reporting and valuations, along with security identifier gaps which distort liquidity perception.ⁱⁱⁱ This is a result of insurers’ increasing exposure to private markets in their hunt for yield, trying to get more bang for their buck. In response, the NAIC task force has expanded risk formulas from only six designations to 20 different risk ratings for fixed-income securities.  

Insurers must be vigilant in reassessing all assets and debt securities for statutory accounting and classification under all schedules, including Schedule D-1. The big challenge here is to accurately distinguish between issuer credit obligations (ICOs) and asset-backed securities (ABS). This shift demands precise asset categorization and extensive documentation. To properly categorize these complex instruments, insurers need to identify and collect new data points for categorizing assets correctly, such as issuer types, collateral details, waiting periods, full or partial government guarantees, covenants, and cashflow sources. New data points and more granular risk formulas put a higher premium on keeping securities and reference data organized and compliant. 

The middle office must keep precise books of record by properly categorizing different assets into correct collateral buckets, accounting for different definitions of data points for risk, portfolio, asset classification, valuation, and capital management. This calls for a modern data platform that unifies all the investment data and automates data flows, including seamlessly ingesting and enriching securities and reference data. 

Stakeholder alert: state, holding company, and ratings stakeholders demand better data reporting 

On a national oversight level, insurance companies file information by way of a Quarterly Statutory Statement, NAIC Statutory Annual Statement, and an Own Risk and Solvency Assessment Summary Report. State-level insurance reporting keeps teams on their toes, in a constant hustle to keep books and records clean and accurate. Property and casualty insurers file their annual Yellow Books while life and health file their Blue Books. If you're a New York domiciled insurance company, not only do you have to report on New York, but you must file copies of statutory financial statements and comply in every state where you’re licensed, writing business, or have exposure through underwriting. So, a large insurer could have 20 or 30 different state insurance commissioners and regulatory groups making sure that the books and records are accurate and the asset repository is timely.     

Insurers that are part of a holding company system must file a Form B Holding Company Registration Statement and Corporate Governance Annual Disclosure (CGAD) to the state regulator, rife with detailed information on all affiliates and intercompany arrangements.^iv Their organizational charts on corporate structure can sprawl into board-table-sized spreadsheets. CGAD requires insurers to describe how the board and senior management oversee critical risk areas and information systems, including oversight of data, reporting, and internal control frameworks.  

An airtight security data master will track which entities get which assets, which assets track back to which product line, and which assets get attributed to which business line. Additionally, publicly traded insurance companies must also manage GAAP accounting disclosures and SEC oversight, distinct from the statutory accounting required by the NAIC. 

Stakeholder alert: ratings agencies 

Standard & Poor’s, Moody’s, Fitch, and AM Best require well-governed data. Insurers must obtain ratings on illiquid classes like private credit to determine how much they need to hold in reserve for capital requirements. AM Best specifically requires a Supplemental Rating Questionnaire, which many firms still struggle to complete in Excel. Meanwhile, the NAIC is working on a new framework for private credit ratings. As of January 1, 2025, state regulators are now able to challenge insurers’ credit ratings through the NAIC if they feel it veers too far from their assessment.^v  

Moody’s has been cautioning about private credit exposure, noting that illiquid investments constituted about 18% ($685 billion) of US life insurers' $3.8 trillion.vi Elaborate private credit structures have put enormous strain on investment systems. Those without a centralized data layer with which to create security masters will continue to struggle with growing regulatory obligations.  

Stakeholder alert: internal compliance, risk, accounting leaders 

Complex portfolios, with pools of collateralized loan obligations (CLOs), for example, bring colossal amounts of data with which analysts must track ratings to accurately assess risk, receive data from managers and trustees, and reconcile cash flows with their administrators. Managers need to be able to generate a security master to model CLO tranches so they can accurately compute the size of their investments, positions, waterfall calculations, and more.  

This requires a unified, domain-aware system with robust data models for alternative investment asset classes to receive data and notices from managers, trustees, and loan servicers for changes such as re-rating on tranches or underlying loans. These modern systems can track knowledge dates and effective dates to provide full transparency and lineage of when and why data was updated, resulting in audit-ready reporting data.