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Traditional, siloed historical analysis limits the ability of retailers to effectively respond to complex and unpredictable challenges in supply chain and consumer behavior. Advanced analytics however, including artificial intelligence, allows companies to support customer segmentation, personalized experiences, marketing attribution, and much more, rooted in DataOps.
Proper implementation of DataOps can also streamline the 4 core phases of the analytical development process, including:
- Better standardizing the development phase
- Automating the ongoing monitoring and maintenance phase
Read this e-book to learn more about how DataOps can offer value and scalability through advanced analytics.