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The DICE Model: A Practitioner's Playbook for Data Governance

How can Banks, NBFCs and BFSI organizations build data governance that is practical, measurable, regulatory-ready and prepared for AI?

Financial institutions run on data. Customer information, transactions, credit data, risk models, regulatory reporting, fraud analytics and AI-driven decisions all depend on data that must be accurate, trusted, secure and responsibly managed.

Yet many organizations struggle with fragmented data, unclear ownership, inconsistent definitions, poor data quality and disconnected governance processes.

The DICE Model provides a practical approach to solving these challenges.

Built around four connected stages - Define, Ingest, Curate and Evolve - DICE provides a structured way to establish and continuously improve data governance across complex financial institutions.

The book is particularly relevant to India's evolving regulatory landscape. The Digital Personal Data Protection Act, 2023 (DPDP Act) places greater emphasis on responsible processing and protection of digital personal data. For Banks and financial institutions managing vast amounts of customer data, strong governance is an essential foundation for privacy, accountability and responsible data use.

RBI-regulated entities also operate within a demanding environment of governance, risk management, internal controls, compliance, technology and regulatory reporting. Effective data governance can strengthen the quality, ownership, traceability and reliability of information used for business and regulatory decisions.

The DICE Model brings these dimensions together.

Rather than treating data governance as a standalone policy or compliance exercise, this book shows how governance can become part of the operating fabric of a Bank, NBFC or BFSI organization - connecting business, data, technology, risk, compliance, privacy, security and AI.

• Build a practical data governance foundation for Banks, NBFCs and BFSI organizations

• Define critical data, business terms, ownership and accountability

• Establish effective Data Owner and Data Steward operating models

• Improve data quality, metadata, lineage and trust

• Connect data governance with risk, compliance, privacy and regulatory requirements

• Understand governance in the context of the DPDP Act, 2023 and RBI expectations

• Govern customer, financial, risk and regulatory data

• Create practical policies, standards, controls and governance forums

• Measure governance maturity and demonstrate business value

• Build stronger foundations for analytics, AI and GenAI

• Move from documentation to an executable operating model

• Continuously evolve governance as regulations, technology and business needs change

Many organizations have policies, data catalogs, data quality initiatives and compliance programs.

But the real question is:

Can these capabilities work together to create data that the business, regulators, customers and AI systems can trust?

The DICE Model is designed to help answer that question.

It is a practitioner-focused playbook for Chief Data Officers, Data Governance Leaders, Data Stewards, Risk and Compliance Professionals, CIOs, CTOs, Privacy Professionals, Auditors, Consultants and BFSI executives who want to turn data governance from a theoretical framework into an organizational capability.

The journey is simple:

DEFINE what matters.
INGEST it into the governance ecosystem.
CURATE it to create trust.
EVOLVE continuously.

The DICE Model

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