Data Product
We design and create discoverable, accessible, and reusable data products, using standard APIs and data formats that enable a modular, scalable and flexible approach to managing data in your organization. Our systematic approach to creating data products includes:
Defining the product scope
This includes specifying the types of data that will be included in the product, as well as the tools and processes that will be used to collect, store, and analyze the data
Design for autonomy
We aim for clear interfaces and APIs that allow other products and services to easily consume the data. This ensures that the data product can be easily integrated and scaled as needed
Use of modern data technologies
We use modern data technologies like cloud-based data storage and compute platforms, data streaming technologies and machine learning frameworks, to enable scalability, agility, and flexibility
Implementing data quality controls
We implement data quality controls such as data profiling, data validation, and data lineage tracking
Establish governance processes
We focus on defining governance processes for managing data products, including data security and access controls, data privacy compliance, and data lifecycle management
Iterate and improve
We treat data products as living products that evolve and improve over time. We gather feedback from users and stakeholders continuously, and use this feedback to iterate and improve the product