Published: 06 January 2020
Data science and machine learning initiatives are increasingly popular, but they frequently fail to realize business value due to mistakes in project execution. Data and analytics leaders should follow four best practices in order to achieve project success.
Included in Full Research
- Capture Business Requirements to Ensure Models Can Perform at Scale as Well as Delivering Proofs of Concept
- Streamline Data Collection Using Minimal Viable Datasets
- Find the Balance Between Accuracy and Value Using Minimum Viable Models
- Engage Stakeholders and Communicate Value Through Data Storytelling