Russell Perkins

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Inbound’s Low Hanging Revenue Fruit

One of the unintended consequences of the rapid shift to sales force automation tools, CRM systems, and large-scale lead generation campaigns is that things only work well when you target prospects and they respond to your promotions. Its an outbound world now. Pity the poor prospect who unprompted calls you to buy something!

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Data: The Challenge of Defining Quality Information

You cant be a successful data publisher unless youre selling high-quality data. Its not just because customers want value for their money, its because they increasingly depend on third-party data for their own business success, so it’s a high-stakes decision. Russell Perkins, Managing Director of the InfoCommerce Group and Insider Guide to Data Publishing explains the challenges of evaluating data quality.

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Data Providers: Market Neutrality Is A “Must Have”

A few weeks ago, Zillow, one of the leading real estate listing sites, made a surprising announcement: it was going to enter the business of flipping homes, the process of buying a home, fixing it up and quickly reselling it. Russell Perkins, Managing Director of the InfoCommerce Group and Subscription Insider Guide to Data Publishing, explains why this is not an example to follow.

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What Ever You Do, Don’t Ignore Your Data

Many businesses sell some information about how users interact with their data, and they do this with very little thought about how it might blow up. Much of a business’ data is quite sensitive and they would never sell it, but what if somebody stole it? Russell Perkins, Managing Director of InfoCommerce Group and Insider GUide to Data Publishing, explains.

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Why Data Providers Have an Advantage Over Google

Data collection is hard. Data normalization is hard. But there’s still no substitute for it, something Google has learned the hard way. Russell Perkins, Managing Partner of InfoCommerce Group and Subscription Insider Guide to Data Strategy, explains why data subscription providers should have the upper hand compared to Google.

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Visualizing “Big Data”? Don’t Forget to Connect “Little Data” to Achieve Ground-breaking Insights

Using artificial intelligence to visualize a “Big Data” database is impressive. But real insights can only be developed by linking that Big Data to “Little Data” such as government and private datasets to create ground-breaking learnings. Russell Perkins explains.

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