Data Smog: The Too-Much-Data Problem
How do you avoid the data deluge? Four tips to keep you out of the smog.
How do you avoid the data deluge? Four tips to keep you out of the smog.
I was in a meeting the other day with one of the Web analysts on my team. He threw out the term “data smog” to describe the massive amount of data a new client was regularly reviewing. They were struggling to pull insight from the data because all their time was devoted to just putting all their different data types together.
He later provided a definition he found online: “To be overwhelmed with too much information. Example: A Google search that turns up six million references is data smog.”
In no other industry is data smog a greater issue than in Web analytics and the related site data that goes with it. Our clients commonly look at the following data types to understand site performance:
These are only a sampling of the data types you may get from your site. Usually, these data types aren’t combined to tell a full story. There could be 11 different owners for the 11 items who rarely speak or work with one another.
Each data source can easily create data overload; combining them can be flat out overwhelming. But combining this information properly can result in a ton of insight and help you understand the overall visitor experience.
How do you avoid Web site data smog? A few tips to keep you in the clear:
As analytics tools evolve and more people try to combine behavioral data with attitudinal and competitive data, data smog will only become a bigger problem. Don’t get caught up in spending all your time pulling and combining data without conducting the analysis that provides the insight that really drives your business.