Use Cases | Kamba AI Data Analyst
Data Quality

2. Data Quality Audits

Pain Points Solved

  • Manual quality checks are inconsistent and time-consuming.
  • Firms struggle to compare vendors objectively.
  • Compliance audits require repetitive, manual documentation.
  • Onboarding stalls due to lack of standardized evaluation.

User Input

  • Vendor name or domain
  • Sample dataset or data dictionary
  • Coverage expectations

AI Actions

  • Run automated DQR (Data Quality Report)
  • Benchmark vendor coverage and highlight anomalies
  • Document compliance-ready reports
  • Compare vendors side-by-side

Why This Is Revolutionary

  • Standardized Evaluation: Replace manual reviews with automated workflows.
  • Faster Procurement: Reduce vendor onboarding time drastically.
  • Compliance-Ready: Generate audit documentation automatically.
  • Compare at Scale: Evaluate multiple vendors with consistent metrics.
Backtesting

3. Instant Backtesting

Pain Points Solved

  • Backtests require engineering resources and custom coding.
  • Analysts wait days or weeks for validation results.
  • Hard to compare multiple datasets/strategies side-by-side.
  • Results are often opaque with little explanation.

User Input

  • Test Strategy A across the last 3 years
  • Compare Dataset X vs. Dataset Y on signal strength
  • Visualize alpha decay or Sharpe changes over time

AI Actions

  • Select timeframes, benchmarks, and parameters
  • Build and execute backtest logic
  • Visualize returns, drawdowns, signal decay, and more
  • Explain results in plain language

Why This Is Revolutionary

  • Instant Backtesting: Validate signals or datasets in seconds—no coding required.
  • Compare Alternatives: Evaluate multiple datasets or strategies at once.
  • Explain the 'Why': Understand logic behind results, not just output.
  • Visual + Narrative Output: Get clear charts and explanations together.
Procurement

4. Procurement Support

Pain Points Solved

  • Procurement cycles stretch for months with fragmented communication.
  • Buyers and vendors lack visibility into process status and missing requirements.
  • Manual paperwork and contract handling create bottlenecks and errors.
  • Policies are inconsistently enforced, exposing firms to compliance risk.

User Input

  • Vendors of interest, use case, data needs, budget, and contractual constraints.
  • Risk/compliance requirements (PII, residency, usage rights) and desired timelines.
  • Custom firm-specific policies, forms, and templates.

AI Actions

  • Act as a two-sided assistant connecting buyers and vendors directly, facilitating secure conversations and progress updates.
  • Message both sides with status (missing documentation, next steps, completed tasks, policy exceptions).
  • Provide pre-formatted forms for vendors to complete and return; validate submissions against firm policy.
  • Customize procurement agents to firm requirements: workflows, compliance checks, escalation rules.
  • Generate diligence checklists, RFPs/RFIs, POCs, and ROI scenarios seamlessly.

Why This Is Revolutionary

  • AI as Assistant: A true digital procurement partner, guiding both sides step-by-step.
  • Two-Sided Messaging: Vendors and buyers are always in sync with status updates.
  • Policy Enforcement: AI flags missing docs, out-of-policy terms, or incomplete submissions instantly.
  • Customization: Every firm can tailor workflows, forms, and logic to match internal processes.
Data Insights

5. Data Insights & Business Answers

Pain Points Solved

  • Analysts spend hours stitching together answers from multiple data sources.
  • Key business questions often span both structured and unstructured data.
  • Metrics are not standardized, leading to inconsistent answers.
  • Stakeholders lack quick, trusted insights during decision-making.

User Input

  • “What’s the current multiple for NVIDIA?”
  • “How much liquidity does Fund X have, and when is the next redemption window?”

AI Actions

  • Identify key financial concepts
  • Search structured (e.g. Snowflake) and unstructured (e.g. PDFs) sources
  • Apply business logic and interpretation rules
  • Return synthesized, calculated response

Why This Is Revolutionary

  • Query Any Source: Ask natural language questions across data lakes.
  • Contextual Understanding: Recognize business intent and deliver precise answers.
  • Metric Calculation On-the-Fly: Combine data and compute custom metrics instantly.
  • One Interface: Eliminate data digging and siloed workflows.
Reporting

6. Executive Reporting

Pain Points Solved

  • Reporting teams spend days consolidating and formatting spreadsheets.
  • Executives and regulators need fast, reliable updates.
  • Manual reporting introduces risk of human error and version conflicts.
  • Lack of audit trails creates compliance exposure.

User Input

  • Report type (e.g. NAV, compliance summary)
  • Portfolio, timeframe, audience

AI Actions

  • Generate report using templates
  • Format for internal or external use
  • Schedule delivery or automate distribution
  • Preserve audit trail and versioning

Why This Is Revolutionary

  • No More Manual Reporting: Eliminate spreadsheet workflows.
  • Instant Distribution: Deliver to executives or regulators with one click.
  • Template-Based Output: Ensure formatting and language consistency.
  • Fully Auditable: Retain history of all versions and recipients.
Collaboration

7. Team Collaboration

Pain Points Solved

  • Teams duplicate work due to poor coordination.
  • Approvals and version control are fragmented across emails and files.
  • Key stakeholders miss updates without proper alerts.
  • Collaboration tools are not integrated with compliance and audit needs.

User Input

  • Research prompt or reporting task
  • Collaboration request between teams

AI Actions

  • Secure prompt sharing inside Symphony
  • Role-based access to data and outputs
  • Preserve version history and approvals
  • Trigger alerts or workflow actions

Why This Is Revolutionary

  • Unified Workspace: Central hub for collaboration across research, compliance, data.
  • Custom Access Levels: Control who sees what—by role or department.
  • Built-In Alerts: Notify stakeholders at key milestones.
  • Full Traceability: View who contributed what, when, and why.