Having a well-constructed data architecture is a must if you want to generate value with data science.
Before identifying potential use cases or starting a project, you need to know how your data will be acquired, moved throughout your organization, and governed so that only approved parties can access it––and that’s just the tip of the iceberg.
Read this whitepaper to learn all the technical and cultural aspects you should consider if you want to ensure that your company’s data architecture is data science ready.
