Business Data Analytics Technology of the Year (CT-BDA)

Technologies developed which utilises large volumes of data – both structured and unstructured – that result in strategic analysis and better business decisions.

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%)

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