Beyond the Dashboard: The Evolution of Treasury

A shift from operational to strategic

This environment turns treasury into a strategic financing function rather than an operational burden. As such, it can directly influence balance-sheet efficiency, counterparty economics, and portfolio-level returns. Treasury has to act as a “coordinator” across vehicles, PBs, trading desks, and regions. With this new mandate, firms need treasury to become a strategic portfolio financing function.

Empowered treasury teams can also shape portfolio-level returns to drive alpha. They need to be able to articulate the financing and liquidity impact of portfolio activity and counterparty behavior. They can even improve P&L through negotiation and relationship management.

The limits of dashboards

The desire to meet this strategic mandate often risks running into a wall, however. Treasury platforms offer a lot of data. They can display positions, cash, margin, and collateral. Many also offer that data in dashboard-style views. Dashboards can present useful information about how a firm’s financial engine is performing, but they cannot plug the gap between information and insights without helping people decide where to go or how to overcome obstacles along the way.

With more vehicles, assets, geographies, and PBs, humans must interpret views, run spreadsheets, conduct what-if analysis, and compile information across different dimensions. This manual analysis, scenario development, and decision-making quickly become unmanageable.

Beyond the dashboard

Treasury decisions sit at the intersection of financing, margin, and collateral, and each of these affect the others. Financing arrangements impact margin. Managing margin means understanding collateral velocity and availability. And any move across prime brokers reshapes financing capacity, liquidity runway, and collateral sufficiency. Proper optimization depends on all three, yet most firms only optimize one dimension at a time.

As markets shift, the main pressure points shift, as well. Since 2020, margin requirements have jumped, and firms have reported significant difficulty predicting collateral needs. These pressures didn’t ebb after the pandemic. Repo borrowing tripled between 2022 and 2025,^vi showing how quickly financing stress can materialize.

This level of interconnectedness implies that improving one piece in isolation rarely works. Treasury’s work increasingly depends on data intelligence that can interpret margin, financing, and collateral together. But most platforms simply can’t keep up with the flexibility needed to shift emphasis in accordance with changing patterns.

Achieving strategic visibility

Part of the problem comes from the downsides of both generic systems and bespoke builds. For example, the former don’t capture negotiated multi-prime rules, and the latter tend to fall apart as firms add vehicles, strategies, and counterparties.

To evolve, what treasury really needs is a flexible architecture that fits risk appetites, liquidity buffers, and financing preferences at both the firm and fund level. A modern treasury platform needs to support a full loop: simulate scenarios, recommend actions, execute workflows, and precisely measure outcomes in basis points or dollars saved, financing cost reductions, margin gains, or collateral usage improvements.

Rather than relying on data alone or visual dashboards, they should also support scenario modeling, identify the few actions that matter most each day, simulate their impact across all dimensions, and measure their realized benefit over time.