Visualization
Visualization techniques are concerned with depicting data in a form such as images, diagrams, or animations that make it easier for minds to process. Perceptual maps and image profiling are two examples of visualization of data from Chapter Brand Sensing. Since the advent of big data, the pace of research and innovation in this field has grown substantially. Tag or word clouds, clustergrams, history and spatial information flow are some examples of the techniques used for visualizing big data.
Good visualization (see demo) serves to empower users with the information they need, in a digestible, easy to access manner. Technology should be used to make contents relevant, simple, clear and customized for the user. Context should be carried forward to substantially reduce the amount of time and effort required by the user in searching for information.
Note: To find content on MarketingMind type the acronym ‘MM’ followed by your query into the search bar. For example, if you enter ‘mm consumer analytics’ into Chrome’s search bar, relevant pages from MarketingMind will appear in Google’s result pages.
Marketing Analytics Workshop
In an analytics-driven business environment, this analytics-centred consumer marketing workshop is tailored to the needs of consumer analysts, marketing researchers, brand managers, category managers and seasoned marketing and retailing professionals.
Business Intelligence - Visualization
Business Intelligence dashboard. A cloud-based visualization solution.
What they SHOULD TEACH at Business Schools
Is marketing education fluffy too?
Experiential Learning via Simulators | Best Way to Train Marketers
Marketing simulators impart much needed combat experiences, equipping practitioners with the skills to succeed in the consumer market battleground. They combine theory with practice, linking the classroom with the consumer marketplace.
