CDO–Dataknobs Partnership
AI-Ready Data, Trusted Governance & Data Products
Dataknobs helps Chief Data Officers in banks turn raw interactions, documents, and operations into governed, AI-ready datasets and data products—powering complaint AI, call auditing AI, and responsible analytics.
Why CDOs in Banks Partner with Dataknobs
Dataknobs gives CDOs a way to standardize data, enforce governance, and deliver AI use cases across the enterprise—without losing control of quality, lineage, or compliance.
Enterprise Data Governance
Encode banking-specific policies, taxonomies, and lineage into the way data is ingested, labeled, and transformed—supporting BCBS 239, SR 11-7, and internal data standards.
AI-Ready Datasets & Data Products
Convert unstructured calls, complaints, and documents into structured, reusable datasets and data products that feed analytics, BI, risk, and AI models.
Responsible & Explainable AI
Use explainable classification, documented lineage, and versioned datasets so that AI for complaints, calls, and documents remains auditable and regulator-ready.
High-Impact Data & AI Use Cases for CDOs
Start where data, regulation, and customer impact intersect: complaints, contact center calls, customer interactions, and documents.
Complaint Management AI
Standardized, governed complaint data for analytics & reporting
Dataknobs auto-classifies complaints using banking-aligned taxonomies (e.g., CFPB-style categories), assigns severity and risk scores, and creates a clean, consistent dataset across products and channels.
- Single complaint schema across LOBs and systems
- Real-time identification of systemic issues and emerging risks
- Data products feeding risk, compliance, and CX teams
Call Center Audit & Compliance AI
Governed datasets from 100% of calls, not a tiny sample
Transcribe, classify, and score calls at scale. Build datasets around disclosures, mis-selling events, escalations, agent behavior, and customer sentiment with clear labels and lineage.
- Compliance and disclosure fields ready for reporting
- Agent quality, coaching, and behavioral signals
- Feature-ready datasets for AI models and QA analytics
Customer Interaction Intelligence
A unified interaction dataset for CX, risk & product
Combine calls, chats, emails, and complaints into a single interaction layer, with normalized schemas for intent, sentiment, resolution, and journey context.
- Better churn prediction and retention analytics
- Input into next-best-action and personalization engines
- Shared semantic model across CX, product, and risk teams
Data & Document Intelligence
KYC, lending, policy docs, and regulatory reporting
Use Dataknobs to extract structured data from statements, onboarding forms, KYC files, and policy documents, and to validate them against templates and rules—feeding downstream risk and finance systems.
- AI-assisted extraction with human-in-the-loop correction
- Lineage from source document to data product field
- Datasets ready for risk, finance, and regulatory analytics
Built for the CDO Agenda: Data, Governance, and AI
Dataknobs sits between raw data and consuming teams, encoding governance and structure into every dataset and AI workflow.
Data Governance & Lineage
Capture “where this field came from” for complaints, calls, and documents. Maintain lineage from source systems through Dataknobs pipelines into warehouse and AI models.
AI Datasets & Model Governance
Create versioned, labeled datasets for complaints, calls, and documents. Document assumptions, labels, and business rules as part of your model risk governance.
Cross-Functional Collaboration
Provide a common data foundation for risk, compliance, CX, product, and analytics teams—aligning definitions while enabling tailored views per function.
A Practical 3-Phase Roadmap for CDO–Dataknobs Partnership
Move from scattered initiatives to an integrated, governed, AI-ready data estate.
Phase 1: Standardize & Govern
- Define complaint, call, and document schemas
- Implement ingestion, labeling, and quality checks
- Establish lineage and basic governance policies
Phase 2: Operationalize AI
- Deploy complaint management AI and call auditing AI
- Launch interaction and document intelligence products
- Feed risk, finance, CX, and product teams with curated datasets
Phase 3: Scale Data Products & AI
- Expand to more LOBs and additional workflows
- Use knobs and AB tests to optimize models & policies
- Build a catalog of governed data products for the enterprise
Ready to Make Your Data Organization AI-Ready and Governance-First?
Dataknobs helps CDOs transform complaints, calls, documents, and interactions into governed, explainable, AI-ready data products that drive measurable outcomes across risk, compliance, CX, and finance.