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Benchmarking Performance: Your Options, Dos, Don'ts and To-Die-Fors!

Occam's Razor

We are all blessed with more data than we know what to do with, and all for the price of a few lines of JavaScript added to your website. In this type of an environment, I've frequently stressed the value of identifying targets for your key performance indicators.

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

The reasons are that we all like complexity, it gives us energy :), we tend to be logical, and we often treat data output as the end when in reality the data output is just the start of the process that results in actions that deliver business impact. You're not just talking about raw reach, raw views, raw acquisition metrics.

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7 Data Presentation Tips: Think, Focus, Simplify, Calibrate, Visualize++

Occam's Razor

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Finally, this is picky, but why is most of the x-axis yearly and then suddenly just until Q2, 2013? Surprisingly sloppy from McKinsey, right?

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Digital Marketing And Analytics: Two Ladders For Magnificent Success

Occam's Razor

One that reflects the customer expectations of 2013. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Here is what it looks like: Let's look at each step on the ladder in some detail. The very first thing you want to do is create an acceptable website. Look at the colors. Beat Motrin.

Marketing 165
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Eight Silly Data Things Marketing People Believe That Get Them Fired.

Occam's Razor

It turns out that Marketers, especially Digital Marketers, make really silly mistakes when it comes to data. Small data. Some absolutely did not use data to do their digital jobs. A benchmark for you: In 2013 if 30% of your time, Ms./Mr. Marketer, is not spent with data you''ll fail to achieve professional success.].

Marketing 166
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What Is Embedded Analytics?

Jet Global

In the past, data visualizations were a powerful way to differentiate a software application. Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. These tools enable users to quickly draw conclusions and monitor key performance indicators.