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How to transform huge tables from Eurostat to interesting analytics for everyone
In 4 pages you can find information about all trading developments in the TOP-10 European countries by GDP during 2015-2019 and answer the questions: who was the trade leader in this period, how this position was changing from year to year, what was the most or the less sellable and buyable cargo category, which transport was used the most for these or those cargo and a lot of others.
This project is based on a real task from a trading company. Made by the Business Intelligence Institute headed by Alex Kolokolov: design and analytics – Daria Filenkova, back-end – Alice Baklitskaya.
How to use the dashboard:
The navigation menu is made with bookmarks and appears by pressing the sing “menu” on the left upper corner. There are also some pages in the menu with insights that we found interesting to show
1 INSIGHT:
Trade volume in Germany in Euro is at least twice bigger than in other countries with almost the same volume in tons. It works as for export as for import and depends on the share of machinery and equipment that is the most expensive cargo category. In Germany, it takes 49%, in the Netherlands only 37%. Also, in other countries, the share of cheap products as oil, coal and other fuels takes up to 11%, in Germany only 3%.
2 INSIGHT:
The main countries-partners for Germany are European Union, Great Britain, USA and China and only in Import of the category Oil, coal and other fuels in the TOP-10 we can see countries like Russia, Kazakhstan, Libya and, etc. The interesting thing is that the Netherlands takes the first position in this rating in Euro, but the volume of importing fuels in tons is almost twice less than in Russia.
3 INSIGHT:
All countries in the TOP-10 in Europe by GDP have a negative export-import balance in tons (volume of the products they sell is less than they buy) and only 3 countries have a negative export-import balance in Euro (the price of the product they sell less than they buy). There is France (-3.8%), Spain (-3.0%) and Sweden (-3.1%). Moreover, in France in 2019 this disbalance fell to -8,8%: demand for the products from the most expensive cargo categories – machinery and equipment and consumables – increased, but France kept the same level of production. In previous years in these categories, France had more money from export than spent to import and was not ready.
4 INSIGHT:
In the most expensive category “Machinery and equipment” Germany and Italy had the maximum profit (export minus import in money units) – 79% and 31%. The Netherlands spent 9% more than has on sales. The biggest difference is in cargo groups “Electrical machinery and equipment” and “Vehicles other than railway” with low cost but a large volume of consumption and “Aircraft, spacecraft, and parts thereof” with a high average price. But if you check the balance between export and import in the Netherlands in general (page Country), you see that it’s positive. What gives the profit? The tooltip on the last KPI card shows that are categories Other, Consumables, and Metals.
You can find a lot of other interesting insights in these 4 pages and think about its reasons. Looking forward to your feedback.
Business Intelligence Institute was founded in 2011 by Alex Kolokolov. We develop powerful tools for decision making and transform ordinary companies into data-driven businesses boosting their efficiency and performance. We specialized in digital dashboards with MS Power BI and Excel and helps business owners and decision-makers to understand big data and improve their business performance.
Please, visit our website and Alex Kolokolov’s LinkedIn profile. We are open to cooperation and ready to work on new interesting projects.
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хорошая работа
Отличная работа!
очень интересно, спасибо!
все понятно!
Интересно, есть над чем подумать
Очень информативный отчет! Крутая аналитика!
Наглядно демонстрирует торговые потоки, супер!
Наглядно демонстрирует торговые потоки, супер!
Вложен большой труд, цифры грамотно визуализированы. Все четко и понятно, шикарный дизайн
Великолепная работа! Громада информации и всего на четырех страницах. Браво!
it was informative
Превосходная работа!
Great, it's a very good job.
Отличная работа!
Отличный разбор
Impressive work!
Nice work 🙂
Very interesting insights. Thanks a lot