Archive for BI

March 16 th

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Futuristic BI: Are We Smart Enough?

Posted by: Terri Rylander | Comments (0)

Came across this stunning TED video that demonstrates scientific data in both 3-D and audio. It’s not only functional but beautiful as well. Increasing the way we sense, perceive, and interact with data is brilliant. Is this the future of BI?

Having watched the video, I find a renewed appreciation for the super intelligent minds out there. The video showed just how complex data can be and I wonder if we can do something similar with our BI tools one day. Do we need super intelligence to understand our data?

Categories : BI
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February 16 th

0

Visualizing Olympic Information

Posted by: Terri Rylander | Comments (0)

I’ve always had a fondness for visual data, so in honor of the Olympics, I thought I’d share these winter sport and Olympic infographics I found. Maybe it’s my simple mind, but I appreciate their ability to distill complex information into a (relatively) simple graphical image. I’ve located these and offer them for your enjoyment.

Here’s everything you always wanted to know about the sport of curling:

Larger Image (infographic by Ciaran Hughes)

And also about bobsledding:

Larger Image (infographic by Stefan Bayley)

Here’s ice hockey:


(infographic by Ciaran Hughes)

My favorite sport, figure skating:

Infographic – Edward Tufte (click for larger image)

How about Olympic medals (not sure from which year):


(infographic by Ciaran Hughes)

And finally, an analysis of medals won per GDP using 2004 Summer Games data.

Larger image (infographic from Vizworld)

Categories : BI
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February 9 th

2

Embracing Socialytics

Posted by: Terri Rylander | Comments (2)

Socialytics. I love this word – it perfectly captures what it is — analysis of social media. I’ve only heard it used a couple times but when Michael Fauscette of IDC wrote his post, Socialytics, I decided to investigate it further.

I wondered who plays in this space today. Though there aren’t many, there are more and more social media analysis vendors with solid offerings. In his e-book, The Social Web Analytics eBook 2008, author Phil Sheldrake details 16 of them that responded to his request for interviews.

I then wanted to know more about the types of analytics that might be looked at. I liked the way David Bakken broke down social media data in his post, Social Networking, As Seen by the Economist. He looks at these three dimensions as a way to stratify the levels:

Content: Just what is it that is being talked about. Could be brand or product mentions, could be sentiment. What are people saying?

Source: Who is generating the content? How does the content vary by characteristics of the source. He mentions the difficulty of knowing more about the “who” and suggests companies like Facebook might sell that information as a new source of revenue.

Connectivity: Who is talking to whom? This is probably most about influence and the value of networks — something that has proven very difficult to measure prior to social networking.

(…some time passed, and then…..)

I had this thought:  With many of the social networking companies looking for a viable way to make a sustainable income, why not sell socialytics from their platform to interested parties? They hold the valuable key – the data.

BI vendors would do well to partner with social media analysis companies and call on the likes of Twitter, LinkedIn, and Facebook to provide this new service as a joint partnership. Not only will all these social conversations create a wealth of data to be managed, they will also require a powerful analysis tool and a presentation layer that is easy to use and understand — something BI vendors are masters at.

Note to BI vendors – socialytics is here. Are you ready?

P.S. As I finish this post I found one vendor already moving forward. Ron Swift from Teradata just put out a timely post, Social Media Marketers Should Get Ahead of the Curve, where he talks about Teradata’s partnership with social media analysis vendors and creating integrated web intelligence (IWI) that combines socialytics with data from the data warehouse creating extremely valuable insight.

Categories : BI, Social Media
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