Data Science Technology Innovation of the Year

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Entry Criteria

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.

Datsci Innovation

Scoring (out of 100 points):

Nominees will be scored on a number of different criteria, receiving a score out of 100:

Business Problem

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]

 Solution Overview

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]

Business Impact

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] 



Alessandra Sala
Alessandra Sala

Head of Analytics Research | Nokia Bell Labs

Dr Gráinne Watson

Head of Product: Digital and Innovation | Capita IT and Networks

Freda Cunningham
Jen Stirrup

Data Whisperer | Data Relish

Mark McEvoy
Mark McEvoy

Chief Data Officer | Yo