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Big Data may be tough on our technology stacks, but the real challenges lie elsewhere.
Promises. Promises. Big Data sure makes a lot of them.
Increase the effectiveness of your sales (or political) campaigns by using behavioural data to divide customers into micro-segments.
Improve brand perception by monitoring the complex web of conversations across Twitter, Facebook and other channels and then engaging carefully with key influencers.
Analyse internal processes to find opportunities to reduce costs and increase responsiveness.
Sounds great, but is it real? Are people actually doing such stuff, or is it all vendor hype?
A business can't survive and thrive without customers, but when it comes to understanding customers, many companies feel like there's a huge gap between what they know and what they need and want to know.
In fact, companies "are desperate to understand more about their customer" according to Yesmail Interactive president Michael Fisher.
Yesterday, we looked at what some industry professionals think are the big trends in big data for the upcoming year. I had the chance to talk to Dr. Michael Wu, Chief Scientist at Lithium Technologies, about what he is looking at for his research in 2013.
For him, it's about smart data instead of the generics often spoken about around "big data."
For most businesses, marketing is a crucial component of success. If you can't market effectively, you can't sell and grow, and that spells trouble.
Thanks to the internet, the rise of digital marketing channels, and the abundance of marketing tools and technologies, companies have more marketing assets and capabilities than ever.
But figuring out how to use them correctly is often a challenge and there are a number of common mistakes that hold companies back. Here are five of the biggest and most detrimental.
Moving from conversations dominated by mobile to data, some marketers never want to hear the term 'Big Data' again. But with more and more companies in social and tag management utilizing the surge of data available to them, the big data conversation is not one that ended with the end of 2012.
We've already touched on big data with a post earlier this month by Patricio Robles on the challenges of big data in 2013, but this time we're hearing from some of the experts.
At the end of every year, executives and pundits put pen to paper (or fingers to keyboard) to project how their industry will change in the months ahead.
Some years that change is downright incremental. In others, there’s a significant shift in how people do business, reach their customers, and make money.
2013 is one of those years.
When it comes to innovation, a corporate leader needs to be judicious.
After all, if you adopt every emerging trend in digital media, you’ll find your company brutally pulled in every direction, like Justin Beiber dropped into a crowd of crazed thirteen-year-old girls.
But when it comes to the trends of data utilization and personalized media, now is not the time to be cautious.
If you ignore these trends, I have a Blockbuster store I'd like to sell you. If not, read on.
Numerous trends are discernible in the predictions made for 2013. One of the most apparent: the continued rise of big data.
What big data is, the roles it is creating and data management best practices came into focus for many businesses in 2012, but putting big data to use will likely be one of the biggest challenges facing companies in 2013.
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.