Big data is now omnipresent. It is embedded into our day-to-day lives as the hard-wired DNA that fuels our business processes and decisions. Data-driven cultures went mainstream in 2016, with organizations scrambling to establish data strategies that enabled all employees to make better informed decisions. Yet despite all of the hype, the majority of organizations still have a long way to go before realizing the potential that big data holds.
Averages lie to you. One of our publishing clients looked at the average sell-through rate of their online advertising inventory and noted it was 70 percent.
“We can launch a metered paywall, and as long as we do not lose more than 30 percent of our inventory, the lost advertising revenue should be minimal,” they thought.
Google Analytics contains dozens of features and hundreds of reports. What if you could discover a basic set of features that are useful for every website?
I have actively worked with Google Analytics for almost 10 years now and there a couple of features I see coming back every time that I work with Google Analytics.
No matter which online business I am involved with. In this blogpost I will shortly touch upon each of features and why they are a must to use. Further I will provide you with useful additional resources.
I finally got around to reading Simon Sinek’s book: Start With Why (highly recommended, if you are interested in understanding why certain individuals and organizations are very successful while others are not despite doing and selling similar things).
I’d like to talk about how his findings can apply to Digital Analytics, especially when you are looking for an opportunity in the industry (this can be applied to any industry, I guess).
Web analytics uses data that are unique with respect to the quantity and detail of information that is available. What is consistent with web business analytics and analytics for business activities not on the web, is their purpose: to improve business performance.
Business performance can be defined in many ways depending on the context, but maximizing economic profit is the ultimate objective. Discussed here are nine key business analytics that a digital business should complete to maximize its operating performance regardless of how it is measured. These analytics can leverage the detailed data available on web activity as well as other data on a company that is available.