5 Big Data Predictions For 2013. Vendors and analysts make bold big data predictions for next year. Are their crystal balls cloudy or clear? 13 Big Data Vendors To Watch In 2013 (click image for larger view and for slideshow) What will 2013 bring for big data vendors and users? Hey, your guess is as good as ours. But 'tis the season for pugnacious prognosticators to don their soothsayer caps, and it seems some companies have a predilection for prophecy, or something like that.
Anyway, we've compiled a prediction-palooza of five 2013 big data projections that have come our way in the past week or so. 1. . [ Big data is showing up in some unexpected places. 2. 3. "The 'Big Data Revolution' is exposing how technically obsolete the existing data warehousing infrastructure really is. 4. Finally, our favorite feat of prognostication is from research firm Gartner: 5.
Santa is a Gartner client. Now it's your turn. Predictive analysis is getting faster, more accurate and more accessible. More Insights. Marketing Data: Using predictive analytics to make sense of big data. One buzz word/phrase that became very popular in business circles this year was “big data.” And, even though the term is trendy and probably overused, the overall concept has major implications for marketers. Marketers are awash in campaign data, more so now than ever before. Email marketing campaigns produce data about open rates, clickthroughs, unsubcribes, and more.
Visitor activity on company websites can be tracked, and in the case of registered users or leads flagged for scoring, that activity is not only tracked but also attributed to a particular individual. Elements tracked can include the website visit itself and activities such as downloading Web content or watching embedded video. That tracking can get pretty granular, such as combining a series of website activities, or exactly where in an embedded video the viewer stopped the playback.
Taken as discrete pieces, all these data points are essentially meaningless. This is where predictive analytics come into play. 40% of Brands Using DMPs But Emphasize Internal Data. Susan Kuchinskas | December 4, 2012 | 0 Comments inShare43 A survey of 200 brands found that 40 percent are already using a data management platform (DMP) to understand existing customers and prospect for new ones. An additional 30 percent said they would implement a DMP in 2013, according to a report released today from Radar Research and BlueKai.
A survey of 200 brands found that 40 percent are already using a data management platform (DMP) to understand existing customers and prospect for new ones. An additional 30 percent said they would implement a DMP in 2013, according to a report released today from Radar Research and BlueKai. The study queried more than 200 senior marketing executives responsible for technology and marketing decisions within brands, agencies and publishers. More than two-thirds of marketers surveyed said that finding new prospects and analytics were the top reasons to use a DMP platform. There's No Panacea for the Big Data Talent Gap - Paul Barth and Randy Bean. By Paul Barth and Randy Bean | 10:00 AM November 29, 2012 We recently surveyed (PDF) senior Fortune 500 and federal agency business and technology leaders to discover the level of serious interest surrounding Big Data.
The survey of C-suite and executive function heads with responsibility for Big Data initiatives revealed that 85% of the organizations surveyed had funded Big Data initiatives underway or in the planning stage. The interest and commitment is real. What is less certain is how these same organizations plan to support these initiatives from a business and talent perspective. Organizations expressed serious reservations about the talent and organizational alignment issues that we see as a critical element in enabling organizations to derive value and achieve success from their Big Data investments. While 70% of organizations indicated that they plan to hire data scientists, they already report this as “challenging” to “very difficult.”
Big Data To Drive $232 Billion In IT Spending Through 2016. Big data will drive $232 billion in spending through 2016. It will directly or indirectly drive $96 billion of worldwide IT spending in 2012, and is forecast to drive $120 billion of IT spending in 2013. Gartner Research published the results today.
They draw several conclusions from their research: Big data is not a distinct market. That’s part of the story but the dynamics of memory, storage, and CPU capability provide context for what is happening in the market: Memory doubled.High speed and high-capacity networking technology pricing has decreased considerably.Storage technology is moving from spinning disk to solid state disk and flash.Enhanced CPU performance. Storage management tops the list of sub-markets influenced by big data spending: Big data technologies abound but customers need to consider how technologies will adapt over time.
Get Started with Big Data: Tie Strategy to Performance - Dominic Barton and David Court. By Dominic Barton and David Court | 9:00 AM October 1, 2012 Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation. In a recent Harvard Business Review article we explore how companies require three mutually supportive capabilities to fully exploit data and analytics: an ability to identify and manage multiple sources of data, the capacity to build advanced analytic models, and the critical management muscle to transform the organization.
Getting started on a successful data and analytics journey, however, is a continuing challenge for many leaders and they often struggle for a clear strategy that ties data and analytics to improved performance. We took a close look at companies that have recently launched big data strategies to shed further light on the tough road C-level executives face. From these experiences, we have distilled four principles to defining a strategy and getting started: 1. 2. 3. 4. More >>
Big Data's Biggest Obstacles - Alex "Sandy" Pentland. By Alex "Sandy" Pentland | 11:00 AM October 2, 2012 In my last blog on Big Data, I offered a very optimistic view of its promise: Big Data can allow us to see and predict human behavior objectively. What starts small — for instance, seeing through data how people really eat and move — can become massive — such as overhauling the health care system to address real behavior. I am optimistic about Big Data, but I’m also realistic.
There are many obstacles to getting to a good place with it. Here are some of them: The Correlation Problem: When your volume of data is massive, virtually any problem you tackle will generate a wealth of “statistically significant” answers. But why is it true? What we have to come up with is new ways to test the causality of connections in the real world far more frequently and earlier than we have ever had to do before. This will be disconcerting to many. The “Human Understanding” Problem. The Provenance Problem. How do you get the data out of those silos? Beyond Segmentation: Aim for Engagement Marketing.
The central question of modern marketing is: What do customers want out of branded touchpoints, and how can we, as marketers, meet their needs? Increasingly, consumers demand offers, outreach, and an overall experience tailored to their preferences. They know we have data on them; they know they leave a digital trail of their interests and activities across the Internet. Consumers expect us to use that data responsibly. They expect us to recognize them and to know what products and services they already use. And they expect that their loyalty and celebration of our brand will translate to special treatment (and discounts). I urge you to consider that segmentation is not enough. Segmentation is, by definition, a static snapshot. Marketing automation technology has now advanced enough to unlock the mysteries of consumer data, so that marketers can help enable and encourage fantastic and customized consumer experiences.
Think Outside the Channel. Big Data To Drive $232 Billion In IT Spending Through 2016. Is 'Big Data' Marketing's Next Frontier? Big data is everywhere, both literally and figuratively. On the figurative side, it’s hard to escape the hype about big data, the term appearing in headlines of major national newspapers and business publications (most recently the cover of the "Harvard Business Review").
But the hype is happening for a reason, and that’s the amount of data we’re all collectively generating in our off- and on-line worlds. Every two days we generate as much data as 350,000 times the entire printed catalogue in the U.S. Library of Congress. That includes data generated by 4.8 trillion online ad impressions in 2011 alone, and the 294 billion emails sent every day. All of this data stands to provide incredibly valuable insight about the habits and intentions of consumers, if it can be interpreted. This ultimately is the promise of big data, the ability to capture, combine and gain insight from massive amounts of structured and unstructured data.
Big Data, What’s it Good For? Fueling the Database of Intentions. The Big Goal Behind All that Customer Data - Bill Lee. By Bill Lee | 10:00 AM September 10, 2012 Big Data is working hard to get into the minds of customers and uncover accurate information about how the customer really feels, thinks and responds to products, services, advertising and brands. But like eager field-scientists exploring a verdant new continent, companies attempting to navigate and leverage Big Data risk getting lost in the weeds.
Now — still early on in our understanding of Big Data’s true impact — is the time to avoid the most common mistake that companies make when embarking on tech-based research about customers: losing their way amidst all the complexity of systems issues, technical possibilities and implementation snags. Instead, when it comes to Big Data, your firm must stay focused on the business outcomes you want to achieve. And in many firms, the most promising outcome is unleashing vast stores of hidden wealth their customers can create. By the way, Catie is not fictional. Does your data capture such opportunities?
What Every Marketer Needs to Know About Hadoop. Jim Sterne | August 30, 2012 | 3 Comments inShare13 With "big data" on everybody's lips, here's all you need to know to keep up your end of the conversation. "Big data. " There's no escaping it. It's catchy. It's so all-encompassing that the best definition I've seen recently is from Stephané Hamel who put it this way: So with "big data" on everybody's lips, here's all you (the marketing executive) need to know to keep up your end of the conversation. A. So, the ability to replace big, honkin' disk drives with many smaller, cheaper drives that we can wire together is the first, significant technical advance.
B. So What? So, there are two things to keep in mind when your marketing budget is being allocated to what seems like pure IT projects. The more data you throw into the pot, the more likely you are of finding some sort of relationship (correlation) to act on. Big, honkin' analytics processors are very good at finding hidden pieces in a hurry. But those types of questions are known unknowns.