Entries in business (54)
From SimplyBusiness.co.uk comes the Our Changing Highstreet: The Rise and Fall of High Street Shops infographic.
A third of independent High Street shops are now cafes, pubs, restaurants, and takeaways, a major new survey from Simply Business has found.
The survey, which looked at some 75,000 businesses quoted by Simply Business between 2008 and 2010, also found that hairdressers and beauty salons are beginning to thrive – with the former now the most common type of non-hospitality establishment on the High Street.
But retailers have fared worse, with clothes shops and newsagents showing a marked decline during the period.
Unsurprisingly London remains the country’s foodie heaven – with restaurants now making up 11 per cent of the capital’s High Street businesses.
I like the different ways to look at the data, and the connecting lines in the changing ranking visualization are really well done. I like the ones that connect to additional listings below the visuals, presumably to the actual location on the listing.
I don’t understand some of the ranking change visuals off to the right. Computer shops fell from #12 to #14 in the list, but the change visual shows “New Entry” instead of Down 2?
Apparently I should go drinking in Wales though!
Thanks to Mark for sending in the link!
The design of The Business of Giving from SocialCast does a good job of walking the reader through a story about companies donating to charities. However, they could have done more to visualize the scope of donations instead of just including the dollars values in text.
In the Popular Causes section, I would have built the icons right into the pie chart. They don’t serve much purpose on their own next to the chart.
I love the puzzle piece images used for Partnerships.
Designed by Column Five Media
Robin Richards (@ripetungi) recently updated his fantastically detailed subway map of Microsoft Acuisitions and Investments. Although Robin is the Information Design Director at JESS3, this is one of his personal projects.
Infographic showing the acquisitions and investments of Microsoft, done as a tube map with each coloured line representing a different industry for each acquisition or investment. Where the stations meet is where the two industries overlap. The key at the bottom displays information about the location on the map of the station (company) the year of acquisition or investment.
This thing is big! Poster-sized big. I dropped the link into Zoom.it so it would be easier for you to zoom in closer and see the details.
Great job Robin! I love this project.
Digital services company Beyond compiled the results of their research into location-based apps, and designed this infographic summarizing the results; Check-In Data: The Reality Behind the Hype. Released in conjuction with the Social-Loco conference in San Francisco, CA on May 5th.
As part of our involvement in the Social-Loco conference we have done some research to try to understand the difference between what people are saying online compared to the actions of early adopters and the views of the rest of the US population when it comes to their mobile check-in habits.
The results give us a clear understanding of who the winners and losers are likely to be, as well as the types of things that will motivate the mass consumer to adopt location-based apps. They also highlight some of the real challenges there are to consumers embracing this technology.
The data is very interesting. Personally, I continue to use Foursquare, but find myself checking in less and less because I don’t get any direct benefits out of it.
From a design standpoint, I like the circle clusters, but I don’t like data separate in a legend on the side. I appreciate that the color-coding remains the same, so Twitter is the same color in each visualization. I would have included the logo images for the social location-based apps, and connected the data directly to the circles. Data legends like this make your readers work harder to understand the information.
I also think that the most interesting learning from the study is the comparison between how people interact with national brands and small, local businesses. However, this is the last visualization at the bottom, and gets lost.
Found on Mashable!
Another good infographic from Fixr.com about the how the real estate industry is changing. Social Medai Killed the Blog Star: Real Estate looks at how buyers are finding their information online and who are the most influential blogs and real estate people on Twitter.
I like the use of company logos and Twitter profile images. I also like that all of the data is built-in to the pie charts and bar charts to make it easier for the readers to comprehend.
The side-by-side Top 10 lists are interesting, but because they’re based on different measurements (followers vs. Alexa page rank), the graphic should give the reader some context of how to compare the different values. Why do these lists support the overall message that social media is more important than blogging?
Some major technical errors as well. Pie chart percentages should ALWAYS add up to 100%. The pie charts here add up to 71%, 99%, 91% and 100%, which means that the visual of the slice sizes doesn’t match the data. You never want your data visualizations to tell a story that isn’t supported by the data.
Thanks to Raul for sending in the link!
The real estate industry has seen a number of social media innovations over the past few years. Real estate pros are using social media to provide online property tours, schedule showings and showcase local expertise.
Alexis Lamster, VP of customers at Postling and creator of the infographic below, told us that the company analyzed more than 500 Postling accounts specific to real estate and more than 7,000 small business accounts to extract information on how the real estate industry is using social media.
Although the infographic is made up of mostly pie charts and bar charts, it clearly communicates the information in a clean, easy-to-read format.
The new LinkedIN Maps is a very cool interactive infographic that visualizes your own LinkedIN network. The InMaps pull data from your own LinkedIN profile when you allow access, so you can only see your own network.
The connections are grouped into clusters based on shared connections and companies. You can see above that my network has a few clearly defined clusters, but then a large blue area that has no clear cluster information. You can also learn about you network with some of the visual data built into the map. People with bigger dots and their names in larger fonts have more connections.
It’s interactive, so you can zoom in to see the individual names, and if you click on a connection, it highlights all of their connections as well.
Check out the quick, descriptive video from LinkedIn’s chief scientist DJ Patil:
For some reason, it doesn’t show every connection between people. There are a few people in my network that I know are also connected to each other; however, the map didn’t show any connection between them. Not sure what’s going behind the scenes.
You can publicly share your map on Twitter, Facebook and of course LinkedIN when you click the share buttons. Here’s mine. This creates a static image with a legend if you have named your color-coded clusters. Clicking on the map takes readers to the front page to create their own, but clicking on your name takes them to your LinkedIN profile page.
You can also see some other anonymous maps on the front page by clicking on the “Next Map” button which will change to the background map image.
Intuit brings us By The Numbers: Small Business in the U.S. and Abroad. I like the mix of 2D and 3D visuals, but the visuals at the bottom seem odd. Showing different statistics for a handful of countries instead of comparing the same statistics across countries makes that part harder to understand. I would guess that was dependent on what data was available for the different countries.
Inflation and currency exchange play large factors in the cost to start-up a new business abroad compared with the United States. If you’re considering starting up a small business, the below infographic breaks down start-up costs, ease of business and success rates broken down by country, as well as a view of small business around the globe.
I appreciate that they cite their sources, but I wish I could give credit to the designer, who isn’t listed on the infographic.
As a small business owner myself, I hope I fall on the good side of the survival statistics!
Thanks for sendng the link Rachael!
Very cool visualization from Philip H. Howard at Michigan State University called The Illusion of Diversity. It’s fairly big and hard to read, so I dropped the image link into Zoom.it to create the zoomable image above. You can see the high-resolution image here, or download the high-resolution PDF here.
Three firms control 89% of US soft drink sales . This dominance is obscured from us by the appearance of numerous choices on retailer shelves. Steve Hannaford refers to this as “pseudovariety,” or the illusion of diversity, concealing a lack of real choice . To visualize the extent of pseudovariety in this industry we developed a cluster diagram to represent the number of soft drink brands and varieties found in the refrigerator cases of 94 Michigan retailers, along with their ownership and/or licensing connections.
Professor Howard’s team did a lot of legwork visiting stores to gather the data, recording 987 different varieties of soft drinks from 94 food retailers in the Lansing, Michigan area.
The statement “Three firms control 89% of US soft drink sales” really means that “89% of the drinks available come from only three firms”. The distinction is subtle, but there is no sales data included. This is just an ownership structure.
You also have pay attention to what you’re seeing. The bubble sizes are mixed because the parent company bubbles are sized to the portion of drinks they control, but the size of the individual drink bubbles is consistent and doesn’t convey any meaning. For the individual drink, the color-coding is what conveys meaning.
The illusion of diversity in the soft drink industry extends beyond obscuring ownership, as its products are primarily water and sweeteners. More research is needed on the links between pseudovariety and the consumption of energy-dense, nutrient-poor substances.
I noticed that this was created using OmniGraffle, which is a vector mapping application that I use a lot.