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<FederalTimes>
Dan Greening
Articles dated April 6, 2015
Data visualization to make open data valuable
The author of this article, Dan Greening, is the public sector director of Tableau Software.
Data law means that the federal government needs to disclose their data to the public. Government officials, surveillance groups, journalists and civil activists are demanding credibility and transparency. Everyone wants credibility in achieving budgetary outcomes and performance. Also, no one has the generosity of fraud or inefficiency. This presents difficulties for governments to deal with their data.
Thanks to data visualization software, these goals have become easier to achieve. While complex spreadsheet tools require patience and vision for everyone, data analysis software is designed to be useful. The strengths and weaknesses of our visualization system are reflected in every aspect of the software’s use of color, font size, page composition, and so on, to make the visual experience intuitive and enjoyable, rather than painful.
Here are some specific ways to help data visualization share federal data transparently and reliably.
Choose the most meaningful data and metrics
In the big data sector, the public sector is one of the fastest growing industries. You must make sure that you do not discard each piece of data. Overloading information overwhelms people so that they do not meet the original purpose of open data. Instead, we need to find the most important data, metrics and case studies. You have to research what people want to know. If you throw everything to people, you will not give anything.
Story Be stories
Our brain thinks as a story. Movies, TV shows, plays and books tell stories, as do advertising, painting and conversation. We are a narrative creation. Therefore, descriptive elements should not be omitted in data visualization. It is easier for people to understand the subject of the whole data than to give a certain amount of narration rather than putting images or charts alone. The data itself is easy to forget. The data in the story will not be forgotten.
The collaboration Be
Think about how boring a speech or one-sided communication is. You do not want to have too tedious effects that you can avoid by allowing your data visualization to narrow down or broaden what people are seeing. The easy interaction and real collaboration created by data analysis software will provide a satisfying experience. For example, a dashboard created by a veteran department can use the power of strong interaction to distribute resources to the most needed soldiers. Do not think that your data visualization is a one-way transfer of knowledge. You have to give people choices.
Approach enables Make
Do not hide your portal in the maze of links. Make it easy to find through user tests. You should also notify it. Use social media and email to tell people that the portal is available to everyone. If data does not appear in search engines when you use it, and you need a degree in computer science to use it, it is not open data.
Give everyone permission.
Of course, you will want to create a visualization of the data that citizens can easily access and use. However, it is only half. Good data analysis software should dirty your hands with data, not just skilled analysts or IT departments, but everyone in your agency. This is much more advanced than in the past. People in the IT team need to use the data instead of waiting a few days or weeks for the report to come in. They can get the answers they need right away.
The revolution of data democratization came at a proper time. The data method wants open data. However, the demand can not be met by staying in the old ways of analyzing and publishing data. You should try new software that is available to everyone, including your manager, colleagues, employees, and the public.
If you look at the elements that data analysis software can create and share with you, Open Data will not be a fearful new world. Open data is a better world where data is useful and everyone can use it.
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