Kia Street

A data-driven service I use everyday is Twitter. An example of how to store this data would be:
Columns = Date, Username, Tweet, Profile Photo, etc.
Rows = the actual date of the tweet, the person who tweeted it (their handle), the raw text of their tweet, profile picture image URL
Twitter is massive obviously but something simple like this…[Read more]

I’m in a group with Chynah Grabe, John Francis Meko, Kacie Kemmerer, and Mathew Tarasiewicz. We’re examining the relationship between company scandals and business performance. We’ll be telling our story by highlighting case studies of Uber (Trump political scandal), Target (transgender bathroom policy debate), and Sony (tentative but regarding…[Read more]

http://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/the-heartbeat-of-modern-marketing?cid=soc-web

McKinsey&Company discuss how marketers use data activation and personalization strategies to reach consumers in the moment – no matter where they are or what device they’re on. Customer Data Platforms give marketers the…[Read more]

I measure the traffic and engagement on my website everyday by looking at sessions and bounce rate on specific top-value pages. I’m then able to analyze how well people are responding to my team’s content which allows me to see if there are any opportunities for optimizations based on these results. In addition, I track user acquisition to…[Read more]

I’ve definitely fallen victim to #4 and #6 in the past. I remember one time at my past internship where I downloaded about 5,000 rows of keyword research data and, of course, decided to pivot it. However, when I highlighted all of the data, I hadn’t included all of it. After I did my analysis, it wasn’t making much sense to me because the list…[Read more]

https://www.thinkwithgoogle.com/infographics/consumer-electronics-shopping-micro-moments.html

This infographic by Google tells a clear, interesting story about the customer journey to purchase new electronics. More people YoY have inquired about price while on mobile (+40%). Almost all of smartphone shoppers have actually changed their mind…[Read more]

Stephen Few’s principles work together to create sound data visualizations that effectively communicate what the data is saying. If I had to choose the most important principle, I would say its “Attend”. Oftentimes in data analysis, it’s very easy to overlook tiny details that you don’t even know are important until it’s too late. Also, it’s…[Read more]

http://www.nielsen.com/content/dam/nielsenglobal/jp/docs/report/2014/Nielsen_Advertising_and_%20Audiences%20Report-FINAL.pdf

Page 8, 10 and 11

https://goo.gl/znqj5D

This data visualization from the Tableau Public Gallery highlights AirBnB listings in San Francisco by neighborhood. It presents a map and parallel coordinate chart. It allows you to manipulate the data as you utilize the tool which helps to compare and explore various data points. Some data points included are…[Read more]

“Know before you go: parking difficulty on Google Maps” via https://goo.gl/s1npQi

I already posted for today but this article was released shortly after and I had to use it as another example. This reminds me of the kind of thing Professor Spagnoletti had us do with the large-scale data sets in class on Friday. Google’s capabilities are…[Read more]