Data Creativity Awards
Data Visualisation Category
I-COM defines the Data Visualisation category as work that efficiently conveys a complex data set in a meaningful, scannable way that leads to business impact.
We are highlighting the value of great data visualisation by honoring companies that are applying data visualisation in unique ways that we can all learn from.
Entrants will show that they began with a complex data set, presented it in a visual that is easy to scan and intuitively draw deductions from and enabled a decision to be made.
Judging & Criteria
50% of the scoring based on the actual project results (describe ROI, Awareness, Degree of Process Improvement)
50% on the extent to which innovative and creative approaches were adopted in achieving those results.
Successful entries will include one or more of the following elements:
A. 8 General Data Creativity Elements
- Creating New Insights From Multiple Data Sources
- Effective and Efficient Integration of Data
- Innovative Data Sourcing
- Analytics Creativity
- Using Insights To Evolve The Planning And Execution Process
- Employing Different Marketing Sciences
- Technology Innovation (in-house or with 3rd parties)
- Innovative Data Visualisation
B. Elements of Data Creativity Specific to the Data Visualisation Category:
- Relevance – delivering intellectual and emotional impact to the right audienc
- Consequence - illuminating one or more paths ahead
- Action – Changing or affirming a behaviour or decision for which there are credible options
- Measurement – quantifying the impact
- Replicable - can be applied to a broad set of real life applications, cross-platform
- Immediacy - the ability to react in the moment, when action can still be taken, rather than just reviewing afterwards
- Simplicity – without losing clarity
- Design Quality - appealing and intuitively comprehensible
- Innovative and Creative – New and unique
- Accurate - truly representative of the underlying data, mathematical truth
Who Should Enter?
Companies involved in visualising marketing data, including Data Scientists, User Interface Designers and Marketing Executives drawn from Marketers, Digital Agencies, Design Firms, Media Owners or Research Houses.