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Although almost no one can tell you when data is "big" or not, we all want do “something” with big data.
But collecting terabytes of data doesn’t guarantee we will also use the available data very useful. Three recent trends begin to change the status quo.
Methods for analysing big data have improved, so we are better able to focus on the important data and ultimately make a shift from analytics to actual actions.
After decades of fighting the image of being a ‘fluffy’ cost centre, the marketing function is finally escaping the long-held mis-perception of being all about ‘creative’ with an inability to prove measurable impact on the bottom line.
The growing importance of the Chief Marketing Officer, especially in business-to-consumer organisations, is the strongest indication yet of this continued professionalisation within the function.
Data has become such a popular topic in digital marketing circles that we're running out of metaphors. But whether you think of data as the oil of marketing, a firehose of numbers or the next gold rush, chances are that your organization is still coming to grips with the possibilities and realities of "Big Data."
As a great end of the year Google Hangout, join us December 13, 2012 at 12:30 EST as we discuss cutting-edge data techniques for supercharging advertising used by global corporations for marketing as released in the latest Econsultancy report "Best Practices in Data Management." Data Management Platforms (DMPs) and Audience Management Platforms (AMPs) are all the rage, but getting the most out of data for audience segmentation, insights, and targeting takes more than just a relationship with a vendor.
Data is everywhere. As the cost of storing and collecting data decreases, more of it becomes available to marketers looking to optimize the way they acquire new customers and activate existing ones.
In the right hands, data can be the key to understanding audiences, developing the right marketing messages, optimizing campaigns, and creating long-term customers. In the wrong hands, data can contribute to distraction, poor decision-making, and customer alienation.
Over the past several weeks, I asked over thirty of the world’s leading digital data practitioners what marketers should be thinking about when it comes to developing a data management strategy.
The result is the newly available Best Practices in Data Management report. A few big themes emerged from my research, which I thought I would share.
Once again we round up six of the best infographics we've seen this week.
The topics include how developers can make better use of tablets, the big data skills shortage, Cyber Monday stats, and the best time to share things online.
Although it's fast becoming a hot position, ask different people what a "data scientist" is and you'll get different responses. Invariably, you'll hear buzzwords like Big Data, Hadoop and Cassandra, as well as technical terms like predictive modeling and regression analysis.
If you're not familiar with these, the role may be something of a mystery, but it is an important and lucrative one at many tech companies.
The volume and complexity of big data that organisations gather across all channels makes it hard for brands to know where to start when trying to implement plans to make the most of this consumer information.
However, if you follow this five-step process, you can reap the rewards...
We have passed the point of questioning the value and capabilities of Big Data on business success. In progressive organizations it now holds a seat at the table as a crucial resource to business. Companies have realized that there are major opportunities to use the data they already have and apply new insights across their business for incredible results.
Cloud technologies, and the advancements in data analysis give foundation to accelerating the trend. Advanced technologies like active analytics (“decisioning”), advanced algorithms, etc. are proving to be extremely effective at fueling the Big Data engine. In the new world we live in, data isn’t something to be stored and ignored, but analyzed and utilized for its valuable insights.
Big Data analysis has proven to be invaluable at helping driving decisions across organizations—from pricing and distribution decisions, to product and marketing insight—spreading a trend of ROI from end to end. There is no doubt, Big Data is now mainstream.
Web analytics is now seen as a standard part of the site owner’s tool box and the data it provides has become a staple of web marketing.
However, the technology and approaches underpinning analytics are moving on, but the market is failing to keep up to speed with these changes.
Much of the talk about data is vague - a list of "cans," "wills" and "shoulds." Econsultancy offers a new report today - Increased ROI - A Statistical Examination of Ad Optimization - that deals in hard figures.
Does display ad optimization work? If it does, what volume is required to balance out the time and trouble? This report, from Digital Vision Winner Julia Nalven, answers those questions in detailed but straightforward language.
NoSQL may be one of the most overhyped technology trends in the past couple of years, and a growing number of companies that left their relational databases behind for a NoSQL fling are rethinking their decisions.
Yet organizations continue to adopt NoSQL solutions and investors are still eager to pour money into vendors behind the most popular of them.
Are they crazy, or has some of the NoSQL skepticism been overdone?
The truth of the matter is that, hype aside, there is a role for NoSQL solutions to play in a world consumed by data, and increasingly companies are making smart decisions about when to use relational databases and when to turn to their NoSQL cousins.
Big data is about more than Hadoop and a bunch of fancy technology: there are some very real organisational barriers too.
It's a bit of a mirage. As soon as you get your head around it, it ceases to exist.
How so? The accepted definition for Big Data talks about exploiting “data sets whose size is beyond the ability of commonly used tools to process it within tolerable time”. By that definition, as soon as you’re comfortably handling the data, it ceases to be big.
Nonetheless, Big Data is clearly trending amongst the tech analysts, and it’s doing so for good reasons. The volume of data we’re handling is growing dramatically, Social media, the internet of things. The mass of data produced by smart electric grids, intelligent traffic systems, etc.
90% of the data ever created has been created in the last two years...