Challenges & Mitigation Strategies

• Data Silos: The legacy systems at RetailCo led to siloed data across different departments (e.g., sales, marketing, operations).
  Solution: The data platform unified all data sources into a centralized data lake and warehouse, providing a single source of truth.
• Real-Time Data Processing Complexity: Company struggled with processing real-time data from IoT devices and web traffic in a timely manner.
  Solution: By leveraging Apache Kafka for streaming and Databricks for real-time processing, RetailCo was able to streamline real-time data workflows.
• Data Governance and Compliance: Ensuring data privacy and regulatory compliance in a retail environment is challenging.
  Solution: Company implemented strong data governance policies, including metadata management and automated compliance audits, to meet GDPR and CCPA requirements.
• Scalability: As Company data grew exponentially, managing infrastructure scaling became a concern.
  Solution: Cloud-based services such as Snowflake and AWS provided automatic scaling, allowing Company to handle growing data volumes without manual intervention.