Here “Business” is interpreted in a broad sense to include both public and private sector organisations as well as NGOs, with technology which utilises large volumes of data – both structured and unstructured that result in strategic analysis and better decisions. This may include advanced data analytics and unique algorithms.
It must demonstrate that the datasets are large enough to necessitate high-level programming skill and statistically defensible methodologies in order to transform the data asset into something of value.
Criteria
| Judging Criteria | Weighting | Attributes and Weighing |
|---|---|---|
| Security | 30% | Solution architecture and/or platform design (60%) Compliance / adherence to security standards (40%) |
| Creativity | 30% | Process of Data Mining, Algorithm Used and Results Management (50%) Elements of Predictive & Prescriptive Analytics (50%) |
| Scale | 20% | Proof of how solution will scale and adopt to business needs (50%) Seamless Data & Process Integration (50%) |
| Openness Integrability | 20% | Demonstrate compliance to industry standards (60%) Integration of third party solutions to enhance and/or monitor (40%) |