Brief Intro to Data Visualisation
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Data visualization is used to communicate data to people graphically and make complex data accessible. The main goal is to clearly convey information. Data visualization draws from many disciplines including graphic design, information design, journalism, data science, computer science, and statistics. Effective data visualization maintains data integrity, has a high data-to-ink ratio to convey as much data as possible clearly, and avoids non-informative elements that distract from the data. It can be done through both hand-crafted and generated tools.
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How to Set Up Process Mining in a Decentralized Organization?Process mining Evangelist
The history of a.s.r. begins 1720 in “Stad Rotterdam”, which as the oldest insurance company on the European continent was specialized in insuring ocean-going vessels — not a surprising choice in a port city like Rotterdam. Today, a.s.r. is a major Dutch insurance group based in Utrecht.
Nelleke Smits is part of the Analytics lab in the Digital Innovation team. Because a.s.r. is a decentralized organization, she worked together with different business units for her process mining projects in the Medical Report, Complaints, and Life Product Expiration areas. During these projects, she realized that different organizational approaches are needed for different situations.
For example, in some situations, a report with recommendations can be created by the process mining analyst after an intake and a few interactions with the business unit. In other situations, interactive process mining workshops are necessary to align all the stakeholders. And there are also situations, where the process mining analysis can be carried out by analysts in the business unit themselves in a continuous manner. Nelleke shares her criteria to determine when which approach is most suitable.
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- 1. A Brief Introduction to Data Visualisation Data Visualisation Melbourne
- 2. to communicate data to people graphically and in a meaningful way. The main goal of data visualisation is to clearly convey information and to make complex data accessible. def:
- 3. Science Art Data Visualisation is interdisciplinary Graphic Design Information Design Journalism Data Science Computer Science Statistics Creative Coding Cartography
- 4. Big Data People?????Data Visualisation
- 5. “Data”
- 6. www.accurat.it/ Data vis = Art
- 8. hint.fm/wind/ Data vis = Spacial
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