Big Data. We’ve all heard that term thrown around when speaking to someone about the future of the internet. 

The real question is — what is Big Data?

Big Data, per our wonderful SEO Glossary (Check it out HERE if you haven’t already), is a term used to refer to a large amount of structured and unstructured data. The volume of data is so large that most traditional methods of data analysis would not be able to sort through the vast amount of information

Okay so now we know what the definition of Big Data is — but what does it mean to you?

We’ll go over that in a minute, but first let’s start from the beginning of Data Analysis.


To make understanding Data Analysis easier — let’s break it down into small sections.

Here at Acemedia we breakdown the Data Analysis process into three major parts: Data Collection, Data Processing, and Data Implementation. We’ll expand upon each category.

1) Data Collection

Data Collection, as the name implies, is the process of acquiring data for Data Analysis. Data Collection is fairly straight forward. 

To process for acquiring data depends on the type and form of data that you want and/or need. For instance — you can obtain demographic data for the users that click your Google Ads by simply going and checking your Google Ads Campaign.

Once we have compiled all of the data we need — we move on to the next step.

Here is some example data from pulled directly from Google Ads

2) Data Processing

Data Processing on the other hand is a little more intensive. Data Processing is the process of scrubbingcull, and organizing the data that we acquired in the Data Collection phase.

a) Scrubbing

Scrubbing data is the process of making data make sense. In some cases data can be unintelligible until it is processed. Location data is a prime example of data that can be hard to comprehend until it is scrubbed.

b) Cull

The Data Cull is the removal of extraneous data that would otherwise damage and/or congest our analysis. For example, any data that is irrelevant to the research we are conducting for client will be culled. It would a waste of time and resources to provide a client with information that has no relevancy to their industry.

b) Organizing

Organizing data is the final step of the Data Processing phase. Organizing Data put simply is the process of creating reports, breakdowns, and other representations of data to help our clients dissect and understand what they are looking at. Data is useless unless you know where and how to apply it — which leads us to our final phase of Data Analysis.


Now that we have the data we need — it’s time to put it to use!

As stated before, data is useless unless you know where and how to apply it. We can hand you a breakdown of your website’s user demographics, but if you don’t know what to do with the data — it’s merely just a bunch of letters and numbers. 

That’s why the Acemedia team is here to help you put that data to use! 


What does big data mean to you? It means we have a LOT of work to do!

There is so much data out there that it is unreal! Whether you’re trying to target consumers that frequent a specific gym or grandmas that stay up past 12:00 a.m. — we can get that data!

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