Marketing Foundations for Databricks - Identity

**Overview**
For marketing stakeholders, achieving business objectives such as customer acquisition, retention, personalization, and ROI optimization hinges on a strong data foundation. However, fragmented identity data, siloed systems, and inconsistent data quality create challenges that hinder marketing effectiveness. This services offering is designed to help organizations establish a unified, high-quality customer identity framework within Databricks to power data-driven marketing strategies.

**Common Use Cases**
• Unify data from various marketing channels (social media, email, web analytics,
CRM systems) into a single, centralized repository
• Eliminate data silos, ensuring all teams have access to consistent and accurate
data
• Standardize and cleanse data to ensure high-quality, reliable datasets
• Integrate data from various touchpoints to create a comprehensive view of
customer behavior and preferences

**Product details**
*Offering: Steps to Solve Identity & Data Challenges*
1. Assessment & Strategy Definition
o Capture marketing objectives and use cases.
o Audit existing data sources, identity resolution methods, and existing martech integrations.
o Identify data quality issues and governance gaps.
2. Identity Resolution & Customer Data Unification
o Curate 1P and 3P data sources to form the basis of a holistic customer view.
o Establish a golden customer record within Databricks using Delta Lake.
o Create and hydrate customer attributes with available 1P data
3. Data Governance & Compliance Alignment
o Implement role-based access controls and data masking for PII protection.
o Ensure compliance with regulatory frameworks (GDPR, CCPA) using Databricks Unity Catalog.
o Provide training and best practices to scale identity-driven marketing strategies.

***Challenges When Identity & Data Are Fragmented***
• Inconsistent Customer Experiences – Disjointed or incomplete identity data leads to mismatched or redundant customer interactions.
• Ineffective Personalization – Lack of a unified customer view limits the ability to tailor marketing messages.
• Poor Attribution & Measurement – Inaccurate identity resolution distorts campaign performance metrics.
• Data Compliance & Privacy Risks – Misaligned data governance increases exposure to regulatory fines (e.g., GDPR, CCPA).
• Wasted Ad Spend – Inability to suppress known customers from acquisition campaigns or target the right audiences efficiently.

**Expected Outcomes**
• Higher Marketing Efficiency – Reduce waste across paid and owned media by ensuring accurate customer identity at the foundation of your marketing ecosystem
• Enhanced Compliance & Governance – Reduce regulatory risks through improved data security.
• Scalable Identity Framework – Future-proof marketing data capabilities to support AI-driven initiatives.