
Become data-driven - exploration of the client goals, solution architecture, and use cases
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Become data-driven — Learn to deal with siloed data, inconsistent tools and differing skill levels
- Yin Chen, Travis Jeanneret, Kelvin Lui
A large energy company wanted to re-invent themselves as a data-driven organization where advanced analytics and data science capabilities are readily accessible across multiple business units. The challenges they face involve siloed data, inconsistent tools, unknown skills requirements and low confidence within the business units. In order to roll out the project, phases were defined covering platform requirement gathering, architecting a solution and deploying it and implementing use cases.
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