How data visualization is being used by brands in social campaigns?

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For bringing out the creative side of data, brands have been trying to make the most from data informed product designs and data visualization. The question which is mostly asked, “Is big data still a thing?” According to the experts, it still is and would remain in the future, however, in a different manner. Plenty of its creative side is to be seen in the near future.

Getting to know about the creative side of data

Data informed UX (user experience) designs is probably the developed region in this regard. However, it is just stated to be the iceberg’s tip. Two data centric creativity areas are present, which are growing at a rapid pace and worth getting to know about them.

  1. Data Visualization: Data existing would be useful if not understood clearly. Therefore, it needs to be communicated in a manner that it becomes easily digestible. It is here that data visualization is said to play a crucial role. Consumer facing campaign instances which can help place data presentation back on radar.

    1. Netflix: #Cokenomics: Netflix had developed infographics for telling Pablo Escobar’s story, bringing Cocaine trade of Columbia in an engaging way. It is under #Cokenomics hashtag that the entire campaign was built.

    2. Spotify: ‘Found them First’ of Spotify gave music fans an opportunity to show that they really were into specific bands and singers, prior to becoming popular for bragging rights. It had received million+ visits, including social million impressions of 100 million, within weeks.

Data Tools: It is not necessary for data to be communicated directly to customers, but essential to have it reached across the internal stakeholders. Several tools are present for avoiding the common text walls using stock charts presentations, thereby substituting with something inspiring and engaging.

  1. Data informed product designs: Here data visualization evolution is being discussed about that directly and literally has data translated into actual products.

    1. Flowing Data – Multivariate Beer: Here, U.S. demographics were taken for brewing beer of four different types. For instance population density was mapped to total hop amount and ethnicity to the used hop types.

    2. Tempescope: It was Ken Kawamoto, the Japanese software engineer, who had invented it. The tempescope is a device displaying existing weather conditions or forecasting them physically.

    3. Meshu: It is a concept taking crucial life locations like cities or particular street addresses, has paths mapped between them and has them transformed finally into a jewelry piece.

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