They finally did it ladies and gentlemen, the Broncos have won the super bowl! If we look deeper into the Broncos and the super bowl we can see that Big Data is all around. One of the less obvious ways Big Data is utilized in football is viewing footage.The best teams are the ones who study themselves and their opponents. There is lots of Big Data that goes into relaying footage to a tablet to be viewed by the played on the sidelines.
Speaking of Big Data promoting the ability to view a play, that is how us fans at home watch each game! All of the lines we see on the field and the replays that show different play patterns are all produced through the quick analysis of big data from multiple different cameras and angles. At one point in yesterday’s game there was a 360 shot of a paused play to show a birds eye view of every player in that formation.
Besides all of the technical stuff, the super bowl is practically an American holiday which means there are excess amounts of food, liquor and memorabilia. Social media is the platform for people to display their likes and dislikes about everything from the bar they are in to the amazing wings they ordered for their super bowl party. From the data produced through social media, companies can get a quick look at what their consumers think about their products.
To learn how else Big Data is used in professional football, check out this ARTICLE!
We all hear about Big Data and how it is changing industries and allowing companies like Target to stalk their customers, but do we interact with Big Data in our everyday routines?
Here are two examples of how we are interacting and creating Big Data every day!
Every time you go to your local coffee shop and order your special little cup of delight, you are creating data. The reason we call it data is because you are giving the company information about its customers. Check out this podcast and learn how you are helping coffee companies become more efficient through Big Data just by buying your daily cup of Joe.
Another example of our frequent run ins with Big Data is buying liquor. We all love it and drink it, but how do distributors know what kinds of people like certain types of liquor? Big Data shows liquor companies and distributors how to best sell their product and who their most profitable demographic is. Learn more about how Big Data is revolutionizing liquor distribution through this podcast!
It is that time again where there are relentless adds, phone calls and commercials about the presidential campaign. The reason for this? You cannot win a presidency if no one knows who you are. For years this has been the method of gaining recognition in almost any campaign, so how can one candidate get ahead? Big Data.
Everyone else is using Big Data to gain competitive advantage so why shouldn’t presidential candidates? Well that is exactly what presidential candidate, Ted Cruz thought before implementing Big Data into his campaign. I don’t have a stance on who the next president should be, but I do know that Big Data is aiding Cruz’s campaign greatly.
Big Data has been shown to help candidates be more effective by gaining insights into voter preferences. Some people prefer to learn about candidates via phone call, while others may enjoy advertisements by mail. Big Data can show which people are more likely to respond better to different methods. With this sort of insight, candidates can make better decisions and save a lot more money by strategically promoting themselves.
Some companies still believe Big Data to be a Big hype, but Big Data has proven itself an extremely valuable tool in even the most diverse industries. With how much data is produced on a daily basis, Big Data can be utilized in almost every realm. Because of its versatility Big Data should be used in some degree in every business. Why you ask? Big Data takes complicated information and simplifies it. This not only saves employees valuable time and decreases stress, but it also makes the company more money by allowing the employees to produce more efficiently. If this sounds like something you could benefit from check out this video! You have to start somewhere and it might as well be informing yourself with this delightful video on how to get Big Data in your company and get on the road to success!
Structured data is simply the opposite of structured data- data that is traditionally organized in columns and rows, and stored in fields of a database. This often includes text that is not structured in any particular form or order, such as an email.
Examples:
Examples of unstructured data include: Word documents, videos, email messages, audio files, presentations, webpages, photos and many other types of business documents.
Although these files may have an organizational structure, it does not mean that their data will fit cleanly into a database, like the data from an excel file.
The Importance of Unstructured Data:
It is estimated that 80-90% of an organization’s data is unstructured. Because data can be very valuable to an organization, by providing insight to decision makers, the unstructured component of data analytics should not be left out. Businesses should learn to manage all their data, not just their structured data.
Mining Unstructured Data:
Like a diamond, unstructured data is very valuable, but also very difficult to “mine.” Because of the difficulty, many software solutions have been developed in attempt to help organizations extract information from unstructured data. However, many find that such software, like Hadoop, is not worth all the Hype.
Recent Comments