Apple, Microsoft, IBM: 7 Big Analytics Buys You Need to Know - InformationWeek

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10/1/2015
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Apple, Microsoft, IBM: 7 Big Analytics Buys You Need to Know

Apple, IBM and Microsoft have all made multiple acquisitions of analytics startups in the last year. Here's an overview of who they bought and why it matters to IT.
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Apple Buys Semetric

Date: January 2015 
What it is: Semetric is the creator of the Musicmetric platform, which tracks and analyzes sentiment around popular music and musicians on social media.  
Why it matters: OK, we admit this has nothing directly to do with your day job in IT. But, analytics plus music: What's not to love about that? Apple is likely to leverage the analytics in this tool to enhance its iTunes music marketplace, and to serve up a dashboard that music labels and recording artists can use to track sales and other metrics. The dashboard will provide data-as-a-service to those who use its market. Some industry watchers believe the deal could be part of Apple's plan to relaunch its Spotify rival, Beats Music.  

(Image: Musicmetric via Semetric)

Apple Buys Semetric

Date: January 2015

What it is: Semetric is the creator of the Musicmetric platform, which tracks and analyzes sentiment around popular music and musicians on social media.

Why it matters: OK, we admit this has nothing directly to do with your day job in IT. But, analytics plus music: What's not to love about that? Apple is likely to leverage the analytics in this tool to enhance its iTunes music marketplace, and to serve up a dashboard that music labels and recording artists can use to track sales and other metrics. The dashboard will provide data-as-a-service to those who use its market. Some industry watchers believe the deal could be part of Apple's plan to relaunch its Spotify rival, Beats Music.

(Image: Musicmetric via Semetric)

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Li Tan
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Li Tan,
User Rank: Ninja
10/4/2015 | 3:38:56 PM
Analytics matters
The big giants are deploying for the future - indeed the analytics matters. Without proper analytics, you cannot draw real value and squeeze valuable information from data mess. This is the essence of big data.
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