Monday, May 1, 2017

Big Tools for Big Data


There are several high-powered analytics software’s that take large quantities of data and make them something we can read and analyze. When we think of data we don't always think of art but some of these systems have helped people create some pretty cool visualizations, sounds and of course audience insight.


WATSON


Watson is defined as a question-answering computer system built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies. Developed by IBM and named after its first CEO, industrialist Thomas J. Watson, it was initially developed to answer the questions on the quiz show Jeopardy. In September 2016, Condé Nast has started using IBM's Watson to help build and strategize social influencer campaigns for brands. Using software built by IBM and Influential, Condé Nast's clients will be able to know which influencer's demographics, personality traits and more best align with a marketer and the audience it is targeting. Watson also teamed up with Grammy Award-winning producer Alex Da Kid, to create a cognitive song. The software has the ability to identify patterns across data and then make previously unseen connections. It examined the composition of popular songs which intern allowed Alex Da Kid to experiment with sounds reflecting specific emotions.


POWER BI


Power BI offers data warehouse capabilities including data preparation, data discovery, and interactive dashboards. Power BI dashboards provide a 360-degree view for business users with their most important metrics in one place, updated in real time, and available on all of their devices. Jeroen Ter Heerdt, Technology Advisor Business Intelligence at Microsoft, used Power BI to visualize his music collection. He put together visualizations for number of tracks per release year, number of tracks per genre over time, number of albums per genre per year, and albums by genre and artist of time.  You can just imagine how this system is used by labels for industry related data.

TABLEAU


Tableau produces interactive data visualizations focused on business intelligence. The company prides itself on being able to help people see and understand data. In 2015, Tableau held a Music Viz Contest. The contest was pretty broad in that those who submitted were able to visualize anything so long as it was music related. Woodstock ’69 focused on the three days of the festival and the earnings that each performing artist received. It gave us insight into the attendance, when they arrived and the peak number of people. Sadly, it also gave us information on medical cases, drug abuse, and deaths. Another cool visualization was about the 300 acts associated with the hip hop group N.W.A. It showed a network of the first 300 acts associated with the gangsta rap pioneers.   


TERADATA


Teradata’s data warehouse includes data management and data mining software. As for media and entertainment, the company believes its software can help businesses and brands change the way they engage content with its customers. The software allows users to leverage big data analytics to monetize content and brand, maximize profitability, boost marketing ROI, develop deeper insights, and analyze content. Last August, Teradata announced that Napster (a now leading music streaming service) would be upgrading its analytic ecosystem to implement Teradata Unified Data Architecture. Brian Ringer, Chief technology officer of Napster, said, “Teradata helps us optimize detailed customer level data -- including content and application usage, and gives us the ability to more effectively analyze and predict lifetime customer value through customer behavior and usage data. As we leverage big data through our UDA and new Hadoop Appliance with Cloudera, we expect to understand and serve our customers with deeper personal relevance and even greater listening enjoyment.”

There you have it. You'd be suprised what you can do with a little bit of Big Data!

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