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Celebrating Women in Data Visualization & Storytelling

Juice Analytics

We wanted to take some time at the end of the month to celebrate female pioneers and influential women in data visualization and storytelling! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. She worked as a graphics editor from 2005 through 2016 at the NYT.

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Celebrating Women in Data Visualization

Juice Analytics

March is Women’s History Month and as a company that celebrates women, we wanted to highlight some of the most influential women in the history of data visualization! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. Lea Pica eapica.com/about-lea-pica/.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

Sensors in these devices connect to cellular phone transmitters or the club’s Wi-Fi network to monitor the data feeds. The data collected by these devices is used to design personalized training plans. These types of insights are mainly gathered from playing logs, video and GPS tracking, and spatially related data.

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How digital platforms are changing the way we work

Monday

Modern digital platforms have layers of security built in to prevent customer, company, or employee data from being lost. For example, over at monday.com, we follow strict international regulations to keep your information safe , including ISO/IEC 27001:2013 and ISO/IEC 27018:2014. This was less reliable and came at an increased cost.

Digital 97
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6 Case Studies on The Benefits of Business Intelligence And Analytics

Data Pine

One of the powers of BI tools is they open the doors to a more efficient reporting process which also makes data analytics accessible for everyone, without the need for prior technical knowledge. Lieferando is a European online food-ordering service that was acquired by Just Eat Take Away in 2014.

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Analyzing the history of Tableau innovation

Tableau

The visual encoding allowed domain experts to immediately see that blended data was inappropriate, which is why Blending was useful to people who did not understand joins. . The Data Tab was added in v8.2 June 2014) to give people who understand joins a better experience than a dialog.

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Analyzing the history of Tableau innovation

Tableau

The visual encoding allowed domain experts to immediately see that blended data was inappropriate, which is why Blending was useful to people who did not understand joins. . The Data Tab was added in v8.2 June 2014) to give people who understand joins a better experience than a dialog.