The Great Marketing Data Revolution
I think it's safe to say that "Big Data" is enjoying its 15 minutes of fame. It's a topic we've covered in this blog, as well. In case you missed it, I briefly touched on this topic in a post titled "Deciphering Big Data Is Key to Understanding Buyer's Journey," which I published a few weeks back.
For those of you who don't know what it is, Big Data refers to the massive quantities of information, much of it marketing-related, that firms are currently collecting as they do business. Since the data are being stored in different places and many varying formats, for the most part the state they're in is what we refer to as "unstructured." Additionally, because Big Data is also stored in different silos within the organization, it's generally managed by various teams or divisions. With the recent advent of Web 2.0, the volume of data firms are confronted with has quite literally exploded, and many are struggling to store, manage and make sense out of it.
The breadth of data is simply staggering. In fact, according to Teradata, more data have been created in the last three years than in all past 40,000 years of human history combined! And the pace of data is only predicted to continue growing. You see, proliferating channels are providing us with an unprecedented amount of information—too much even to store! In a marketing sense, the term Big Data essentially refers to the collection of unstructured data from across different segments, and the drive to make sense of it all. And it's not an easy task.
Think about it. How do you compare email opens, clicks and unsubscribes to Facebook "Likes" or Twitter followers, tweets or mentions? How does traffic your main website is receiving relate to the data stored in your CRM? How can you possibly compare the valuable business intelligence you're tracking in your marketing automation platform you're using for demand generation, against the detailed customer records you're storing in your ERP you use for billing and customer service? Now throw in call center data, point of sale (POS) stats … information provided by Value Added Retailers (VARs), distributors and third-party data providers. More importantly, how do they ALL compare and relate together? You get the picture.
Who’s Your Data? is a blog that aims to disseminate thought-provoking tips and techniques involving the use of data and database marketing to direct marketing professionals. Why should you care? Because implementing data best practices has been shown to lift response rates, improve analytics and enhance overall customer experience. Reader participation is encouraged!
Rio Longacre is a Sales & Marketing Professional with more than 10 years of experience in the direct marketing trenches. He has worked closely with businesses across many different vertical markets, helping them effectively leverage the use of data, personalization technologies and tracking platforms. Longacre is currently employed as a Managing Consultant, Marketing, Sales & Service Consulting at Capgemini Consulting, a premier management consulting firm. He is based in the company's New York City office, which is located in Midtown Manhattan. He has also previously worked as an online media buyer and digital marketing strategist.
Email Longacre below, or you can follow him on Twitter at @RioLongacre. Any opinions expressed are his own.