Analytics, Risk, Performance & Reporting Framework

A consistent analytics layer for performance, risk, and reporting — built to match how your fund actually operates. The goal: one set of numbers, many views (PM, risk, ops, investors), with auditability and repeatable reporting packs.

Map your dashboards → See API layer Use cases

What this framework delivers

A stable analytics layer that survives strategy changes, new data sources, and investor demands

One consistent numbers layer

Standardize calculations for returns, exposures, P&L, and benchmarks so every dashboard agrees.

Outcome: no more “PM view vs ops spreadsheet vs investor deck mismatch.”

Views built for each audience

Composable dashboards for PMs, risk, ops, and investors — without duplicating logic.

Outcome: different lenses, same data and definitions.

Reporting that repeats

Export-ready reporting packs (HTML/PDF) with commentary, approvals, and history.

Outcome: monthly reporting becomes a workflow, not a fire drill.

Core modules

Ship one dashboard set first — then expand safely

Performance & attribution

Composable views for PMs, ops, and investors — daily, monthly, and since inception.

Common slices: strategy · book · asset class · region · instrument · top contributors/detractors

Risk views

Scenario/stress, exposures, limits, and alerts — tailored to your style and asset classes.

Common views: gross/net · concentration · factor/sector · beta · drawdown · limit breaches

Export-ready reporting

PDF/HTML packs with consistent numbers, charts, and narrative sections.

Includes: templates · versioning · approvals · distribution logs (optional if tied to portal)

Watchlists & monitoring

Track exposures, moves, thresholds, and “what changed” summaries that ops and PMs can act on.

Examples: exposure drift · concentration warnings · unusual P&L · limit exceptions

Narrative layer

Turn data into plain-English commentary for investor updates — with human review and approvals.

Example: monthly letter draft + key drivers + risk highlights

Audit & traceability

Trace what data was used, when reports were generated, and what changed between versions.

Includes: run history · inputs snapshots · export events · approval trail

How we start

A practical path that avoids “dashboard theatre”

1) Define the first dashboard pack

We map the 6–12 charts/tables you actually need (PM + risk + investor summary), and align definitions.

2) Connect one real source

Wire the API/data layer to a real feed (OMS export, accounting input, or internal DB) so numbers are real from day one.

3) Ship + lock consistency

Publish the first pack (web + export). Then expand slices and modules without changing underlying definitions.

FAQ

Common questions from PM, risk, and ops

Is this a BI tool replacement?

Not necessarily. This is a fund-specific analytics layer with stable definitions, exports, auditability, and workflow features. You can feed BI tools — or use the built-in portal dashboards.

How do you keep numbers consistent?

We centralize calculations in one layer (API/services), standardize definitions, and log report inputs/outputs so results can be reproduced.

What do we own?

The framework + implementation + templates + docs/runbooks — so your team can operate and extend without vendor lock-in.

Want your first dashboard pack mapped in 20 minutes?

We’ll capture what you publish today, align definitions, and propose the shortest path to a production-grade analytics pack.

Map your dashboards →