Data Science Technology Innovation of the Year
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Entries for the award of Data Science Technology Innovation of the year must be self-nominated. The nominee can be an individual or team of people working together on the solution. Entries should explain the Data Science solutions or products developed by the nominee that showcase why and how it is innovative for the advancement of data science in industry/business.
Any innovative products/solutions must have been developed and used as part of a live Data Science implementation in industry/business. The solutions/products described in the entry must have been developed within the past 12-18 months.
Research projects will be excluded from this category but are welcome in their specific category in this competition.
Scoring (out of 100 points):
Nominees will be scored on a number of different criteria, receiving a score out of 100:
Describe the business problem that the innovation in data science technology addressed. Describe the key stakeholders and customers. Explain how the project came about and how your organisation got it off the ground. [10 Points]
Explain the solution developed for the business problem. Showcase the complexities and challenges in developing the solution and how you overcame them. [15 Points]
Clearly describe the data science skills, tools and techniques that were applied in order to deliver this project, in terms of both quantitative analysis of datasets and the application of data science techniques [15 Points]
Clearly explain what the innovation is and how it is different from other approaches [30 points]
Clearly, describe the real business value that your Innovation is delivering. How is the impact on your business being measured? What other impacts is the solution having on the business? [30 Points]