Kamba Analyst is the data workflow system for finance data teams.
Kamba Analyst compresses discovery, data quality, backtesting, procurement, and reporting into one workflow so teams move from question to decision in minutes.
Built for CIOs and heads of data who are done funding sandboxes, disconnected tools, and months-long onboarding cycles.
Estimate the annual drag from workflow friction
This is an illustrative planning model for CIO and data leadership. Use it to quantify potential impact from reducing capacity waste, vendor waste, and decision latency.
Hover the info icons for definitions. Outputs are annualized. Advanced assumptions are optional.
FTE cost multiplied by ops time percent and drag reduction.
Vendor spend multiplied by underutilized spend and drag reduction.
Sharpe uplift times volatility times capital affected and months saved.
ROI multiple based on program cost.
See Kamba Analyst do the work
Three short clips. No promo fluff. Just the core workflows your teams care about.
Ask in plain language. Surface relevant internal and external datasets in seconds.
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Built for workflows that drive outcomes
Click through to the Use Cases page for the full breakdown.
Centralize requests, samples, comparisons, and diligence so teams stop repeating work.
Reduce friction from dataset to tested signal with repeatable checks and outputs.
Make outcomes reusable across teams with governed sharing, traceability, and repeatable decision artifacts.
Not another portal. An analyst that does the work.
Kamba Analyst is the operational layer that compresses time to decision, reduces waste, and keeps AI usage auditable.
Decision ready outputs are first class, not add-ons.
Runs where your data lives and surfaces where teams work. No shadow copies.
Entitlements, logging, and auditability align with regulated institutions.
Teams at 6 of the top 10 Hedge Funds are using Kamba Analyst on Symphony
Put Kamba Analyst in front of your data
If your teams are still stitching workflows together with email, tickets, and ad hoc notebooks, it is time to see Kamba on your stack.
- Heads of data and data strategy compress delivery cycles and reduce waste.
- Data sourcing and vendor teams standardize evaluations and onboarding.
- PMs and quant leads validate whether data and signals add P&L.
Place your Squarespace Form block in this column. Keep it short: name, firm, role, email, and one sentence on your workflow.