Part 8/12:
The number of data issues reported by business users.
The adoption rate of new data tools and platforms.
The quality and reliability of data delivered to the business.
The cost-effectiveness of data solutions, balancing infrastructure investments with business value.
An example shared from their own company highlights a growth from a one-person data team to roughly five engineers and analysts, managing a user base of nearly a million customers and 3 million sessions per month. Success is marked by smooth operations, high data quality, and the ability to support rapid decision-making.
The Hybrid Approach: Centralized and Decentralized Data Teams
One of the session’s key takeaways is the hybrid model for data teams, blending: