Data Designed for MGA Growth
Data Magnifier unifies, standardizes, and utilizes insurance data across programs, partners, and systems.
Move faster, report cleaner, and scale without adding complexity.
An MGA-Specific Data with Data Approach
MGAs are built for speed, specialization, and distribution creativity, but the MGA data environment varies wildly from:
- Greenfield startups needing a scalable foundation immediately.
- Spin-offs with inherited legacy history, including multiple systems receiving data from multiple sources, spreadsheet-dependent workflows, incomplete conversions, and inconsistent definitions.
- Established MGAs looking for a more efficient way to reconcile data across third parties (insurers/capacity partners, TPAs, claims vendors, producing partners, and external feeds).
Data Magnifier is core system agnostic and deployed globally on Microsoft Azure, AWS, and Google Cloud to let MGAs “start where you are,” whether that means creating your first data model or untangling years of inconsistent, siloed data.
Common MGA Data Pain Points
- Bordereaux and claims extracts arrive in different formats and can change at any time with no advance notice.
- Manual reconciliation cycles consume time and introduce errors—especially at month-end and quarter-end.
- Multiple inconsistent “sources of truth” exist across underwriting, claims, finance, and operations.
- Limited portfolio visibility and transparency into performance drivers inhibits corrective action until after results deteriorate.
- Reporting can’t keep up with new programs and has no ability to consolidate the portfolio to provide insightful analytics.
Outcomes MGAs Care About
- Total control over inbound and outbound data. Integrate and normalize incoming data, how it is used, who has access to it, and how it is presented in reports, dashboards, and outbound extracts to internal and external consumers.
- Single source of truth. Cleaner and more consistent reporting produces fewer surprises. Standardized definitions, consistent formats, and explainable data reduce exceptions and cut time spent fixing issues during reporting cycles.
- Faster decisions with better visibility. Surface data quality issues faster and provide earlier insight into exposure, claims activity, and performance drivers—without spreadsheet gymnastics.
- Scale programs without scaling headcount. Add volume, partners, and complexity quickly and cost-effectively while keeping operational effort under control.
- More credible conversations with capacity partners. Aggregate and package data for delivery to carrier partners with control over the precise level of detail provided.
- Increase visibility into portfolio performance and enable “slice and dice” viewing of individual programs, lines of business (LOBs), and more.
Make Your Data a Growth Advantage
Scaling faster than your reporting and reconciliation processes can handle doesn’t have to be a problem. Data Magnifier can help you standardize data, accelerate insight, and reduce operational drag—while building a foundation for next-gen AI initiatives.
