A Framework For Assessing The Quality Of Product Usage Data (Autodesk)

Discover how Autodesk transformed its approach to data analytics, ensuring high-quality, standardized data across its diverse product range. This webinar provides insights into Autodesk’s journey to become a data hero, focusing on the challenges faced and the innovative solutions implemented.

What You’ll Learn:

  1. Standardization and Consistency:
    • Understand the importance of standardizing data collection across various platforms and products.
    • Learn how Autodesk implemented a uniform SDK to collect data efficiently, ensuring consistency across 150+ products.
  2. Enterprise-Level Data Aggregation:
    • Discover the creation of the Enterprise Data Profile (EDP), a set of tables for specific data domains that provides ready-for-analytics datasets.
    • See how Autodesk achieved a single source of truth, enabling cross-product analysis and better decision-making.
  3. Data Quality Assurance:
    • Learn about the comprehensive framework Autodesk developed to assess and ensure the quality of its usage data.
    • Understand the significance of data schema validity, referential integrity, calculation sanity checks, and experiment data validation.
  4. Collaboration and Governance:
    • Gain insights into the collaborative effort required to maintain high data quality standards across the organization.
    • See how data quality dashboards foster transparency and trust among different stakeholders within Autodesk.
  5. Impact on Business Decisions:
    • Find out how improved data quality and standardized metrics have enabled Autodesk to make informed business decisions and investments.

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