How Big Is Your Vision?
Way back in the Internet dark ages of January 1996, Bill Gates wrote about and coined the phrase "Content Is King." He was talking of course, about Web content and the need for people and organizations hoping to monetize the Internet to consistently produce fresh and relevant topics in order to gain the interest and loyalty of viewers, just as television had been doing, radio before that and print media the longest of all. His assertion that "over time, someone will figure out how to get revenue" from Internet advertising is frighteningly similar to today's gurus predicting much the same in regard to social media marketing. Just as back then—when companies and marketers struggled with deciding whether a Web presence was needed—today there are still major corporations only testing the social media waters, even if only half-heartedly, to keep pace with competitors.
For me, however, two lines in the Gates vision statement take on a slightly different connotation than his thoughts on content: "The definition of 'content' becomes very wide" and "Over time, the breadth of information on the Internet will be enormous, which will make it compelling."
I read those two lines and what immediately strikes me is the overwhelming amount of data being generated during these last 17 years and how it is being captured, nurtured and put to work in areas such as Lead Generation, Brand, Affinity, Cross-Channel and Retention marketing. If at all.
IBM has an infographic regarding the flood of Big Data they use in demonstrating how their Netezza device handles integration for several major marketing organizations. This shows how, with connectivity, speed and bandwidth issues having become nearly eradicated during just the last two to three years, the amount of collectible, actionable data has exploded.
Unfortunately, the amount of irrelevant and useless data being collected is even greater than the actionable data, and being able to simply store that much data, let alone begin to organize and digest it all, is a major concern for most organizations. Before even thinking about the incorporation of Big Data initiatives, there should be an organizational review of quality for the existing information held in the collective datamarts that feed the central repository used for decision-making. Long before Big Data, the issue of Bad Data must be addressed.
Vince Pickett has 30 years of direct marketing data management expertise across multiple channels and industry verticals, utilizing a wide variety of management and analytic tools for both B-to-B and B-to-C success. Pickett has seen award-winning excellence and the good, the bad and the ugliest of practices used by clients where he and his teams have built or come to the rescue of client organizations. In his career with several service provider companies or as an independent consultant, Pickett advocates for clients to maintain the highest standards of complete and accurate information for every customer, prospect or lead being maintained within the marketing database. Above all else, clean data provides every marketer with the foundation needed to segment accurately for the most efficient programs that provide the greatest ROI.
This blog will look at recent findings, review the latest breakthroughs, ask questions about topics of debate and talk with industry leaders about what is on their minds. It will also, as the title suggests, keep things not quite so serious all the time.
Contact Pickett by email at firstname.lastname@example.org or follow on him on Twitter at @vbpickett.