Is Data the Salvation of News?

Post by: Russell Perkins, ICG

Russell Perkins, ICG

Doubtless by now you’ve heard the buzz around the travel news start-up called Skift. Skift is the brainchild of Rafat Ali, the founder of PaidContent.

Skift wants to broadly cover the incredibly huge global travel industry with only a handful of reporters. That means Skift will deliver a mix of original reporting along with licensed and curated content. So where’s the innovation and disruption? The answer, in a word, is data. Skift seems to have a firm grasp of the new dynamics of the information marketplace: while there is an important role for news, it’s increasingly hard to monetize. That’s why news married to data is a much smarter business model.

Read more here.

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Drawing the Line: Customers as a Data Source

Russell Perkins, ICG

Post by: Russell Perkins, ICG

Your subscribers, often unknowingly, are trusting you with a lot of potentially sensitive and valuable information. It’s your duty to guard it carefully.

Depending on the markets and the job functions you serve, you may want to re-think if, say, your customer service people should be able to view a specific subscriber’s saved searches. And even something as innocuous as putting up a list of “most viewed companies this week” could inadvertently reveal too much if you operate in a tight vertical.

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Google: An Unstable Platform

Russell Perkins, ICG

Post by: Russell Perkins, ICG

Google has evolved over the years, and consequently publishers need to evolve in their thinking towards Google. The term ”frenemy” was coined to summarize our confusion about how we should best interact with Google. The emerging reality seems to be that while Google can still bring benefit to all of us, it’s a mistake for any of us to depend on it.  

Read more here.

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LinkedIn: The B2B iTunes Store?

Post by: Russell Perkins, ICG

Although LinkedIn now benefits from lots of buzz and momentum, it needs to remain fresh in the eyes of users and give them a reason to interact with LinkedIn as frequently as possible, and to continue to deliver back some tangible value as well. LinkedIn thinks it can address all three of these requirements with content.

As Deep Nishar, the company’s SVP of Products and User Experience puts it:

“We believe LinkedIn can be the definitive professional publishing platform – where all professionals come to consume content and where publishers come to share their content.”

So is LinkedIn positioning itself to become sort of an iTunes for professional content?

Read more here.

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Summary of the Data Bootcamp for Publishers

 

Russell Perkins, ICG

During the Data Content Boot Camp, Russell Perkins, Founder & Managing Director at InfoCommerce Group, Inc. discussed how organizations can maximize data content opportunities through an understanding of data basics: What is Data? Why is Data important? Whether Data is important for your business? Where Data comes from? And which Organizations are suited to be in the Data Business?During the session, Russel Perkins provided a great introduction for anyone interested in data and how to build high-value data products. He also offerd insights on how organizations can turn data into content, how it impacts their publishing business, and how they can leverage data to create new products.

The full recording of the Data Content Bootcamp session is available here.

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Does Correlation Trump Causation?

Post by: Russell Perkins, ICG

Russell Perkins, ICG

Big Data is both incredibly powerful and uncannily accurate, in large part because of the massive sample sizes involved. The ability to powerfully analyze massive data sets will be beneficial to all of us, in many different ways. But to suggest that Big Data correlations can largely supplant causation research plays into the Big Data hype by suggesting it is a pat, “plug and play” solution to all problems. Big Data can very usefully shape and define causal research, but there are numerous situations where it can’t simply replace it.

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Walking Around Money

Post by: Russell Perkins, ICG

Russell Perkins, ICG

There is an endless number of companies offering Big Data analytics and capabilities. But almost all of them expect their customers to bring both the problem and the data. Solution? Big Data analytics players should bring proprietary data to the party. And therein lies an opportunity for specialized data publishers. A young company called Placed  is a perfect case study. Placed is deep into Big Data analytics, but with a twist: it marries customer data with its own proprietary data to yield insights into customer behavior.

Read more here

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