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What a Big-Data Business Model Looks Like - R “Ray” Wang

What a Big-Data Business Model Looks Like - R “Ray” Wang
by R “Ray” Wang | 10:00 AM December 6, 2012 The rise of big data is an exciting — if in some cases scary — development for business. Together with the complementary technology forces of social, mobile, the cloud, and unified communications, big data brings countless new opportunities for learning about customers and their wants and needs. It also brings the potential for disruption, and realignment. Organizations that truly embrace big data can create new opportunities for strategic differentiation in this era of engagement. Those that don’t fully engage, or that misunderstand the opportunities, can lose out. There are a number of new business models emerging in the big data world. Differentiation creates new experiences. Big data offers opportunities for many more service offerings that will improve customer satisfaction and provide contextual relevance. Brokering augments the value of information. Delivery networks enable the monetization of data.

Rethinking the Customer Journey in a Social World – Forbes Rethinking the Customer Journey in a Social World – Forbes. Social media, while too often far down on the list of priorities for most businesses, is certainly a primary focal point in our personal lives today. The data itself is clear: Social media has become theworld’s most popular online activity of all, and perhaps the top digital activity of any kind. The calls for change have been happening for years; businesses that don’t move into the same venues where their customers spend the most time stand to lose out when it comes to opportunities to engage with and do business with them. Most businesses have heard all of this before: change now or fall behind. However, for many organizations, it’s not clear how to move ahead. But this state of affairs can no longer be tolerated. But it’s the mindset of the social world, where everyone knows what everyone else is doing, and perhaps even thinking, that may very well be the hardest to adapt to and instill in our corporate culture. Like this:

Contextual Marketing | Big Data Analytics Globys combines data science and advanced marketing techniques to uncover customer motivations and then dynamically trigger the right message at the right time in the right context The value that this approach to contextual marketing offers is helping carriers to monetize their data by addressing customer needs in the specific context of a moment.”Yankee Group Globys’ Contextual Marketing solutions enable mobile operators to leverage big data and advanced marketing to make a paradigm shift on how they market to their existing customers. The Globys solutions are based on unique, patent-pending techniques developed specifically to address the needs of targeted one-to-one contextual marketing. Today operators around the world are leveraging our Contextual Marketing solutions to drive game changing results around maximizing customers’ lifetime value — generating 10-15 percent improvements in customer revenues and retention. Learn More About Our Contextual Marketing Solutions CMO Council

7 Things Great Marketers Do I often think about why there are so many really smart people in business, yet there seem to be so few really great marketers. Here are seven actions I have seen define great marketers: 1. Seek Deep Customer Insight I'm always searching for an insightful data-driven customer fact. At Pepsi, it was that consumers would consume as much beverage as we could get into the household inventory. 2. The most disruptive breakout opportunity requires expertise in more than one domain. 3. It’s always about the best possible customer experience. 4. Many marketers fail to appreciate the economics of losing a customer. 5. Informed intuition is key. 6. Great marketers have to be willing to take risks. 7. The best clients always get the best creative work. Contributed to Branding Strategy Insider by: John Sculley, Former CEO at Pepsi-Cola Co, Former CEO of Apple, marketing innovator and thought leader. Sponsored By: The Brand Positioning Workshop FREE Publications And Resources For Marketers

Mobile Application Analytics | Mobile Application Performance Analysis | Appcelerator Inc Appcelerator Analytics Appcelerator Analytics, part of the Appcelerator Platform, gives you deep, real-time insight and visibility into how your published mobile apps are performing, what features are being used the most, and where there are opportunities for improvement to provide the most compelling experience. By understanding your users’ behavior, their preferences and application usage, you can continue to refine the application for continued successful adoption. With Appcelerator Analytics, user and session application events are automatically added to your mobile apps. User analytics are central for measuring top-line application adoption metrics such as the tracking of new, active and total users over time, by geography, or by platform over a specific time period.Session analytics measure engagement with your application. Line of Business managers need real-time visibility into their mobile apps after they are delivered to understand their level of effectiveness.

Every Office Has Its Bullies; Here's How To Outwit Them Everybody knows them, that ragtag parade of office meanies: the inveterate gossip, the underminer, the credit-stealer, the boss rolling his eyes or openly playing favorites. But discussions of workplace conflict too often focus on poor innocent me, persevering amid difficult coworkers. Less discussed is a more uncomfortable fact: All of us can be difficult to work with at times, in ways we’re usually blind to. This is particularly pernicious when you’re the boss, since you’re both too pressed for time to recognize your shortcomings and--let’s face it--even your most forthright direct reports may be reluctant to point out your flaws. Office squabbles seem minor, but their costs to individuals and organizations can rack up. The authors recently spoke with Fast Company about how bosses of both genders can tame their inner meanies and other insidious flashpoints in today’s world of work. FAST COMPANY: There’s something true about the premise of your latest book, but also politically loaded.

Gnip - Providing Social Media Data for the Enterprise Three Elements of a Successful Platform Strategy - Mark Bonchek and Sangeet Paul Choudary We typically think of companies competing over products — the proverbial “build a better mousetrap.” But in today’s networked age, competition is increasingly over platforms. Build a better platform, and you will have a decided advantage over the competition. In construction, a platform is something that lifts you up and on which others can stand. The same is true in business. Consider the market for smartphones. The use of platform thinking extends beyond the tech sector. JC Penney has made platform thinking a pillar of its reinvention strategy. Nike is also shifting from products to platforms. The rise of platforms is being driven by three transformative technologies: cloud, social, and mobile. Readers will recognize a number of intellectual foundations to platform thinking. In our view, the success of a platform strategy is determined by three factors: Successful platforms achieve these goals with three building blocks:

Data virtualization makes 'information as a service' a reality: Forrester Enterprise architects are getting busier by the month. Not only do they need plan out service-oriented architecture and cloud services at the application level, but need to start considering how data can fit into the agile, flexible organization -- especially since many are starting to become overwhelmed by multi-terabytes and even petabytes' worth of data. Data virtualization, now enabled by today's generation of solutions, is seen by many as the latest great enabler for getting information out across the enterprise. Once data virtualization takes hold, 'Information as a Service' -- in which data and analysis is available, on demand, to anyone who needs it -- becomes more of a reality. But does anyone really "get" data virtualization and IaaS? Yes, says Forrester Research's Brian Hopkins, who recently published a report with a set of case studies on everything you need to know about data virtualization. However, it's going to take time to get there.

The VC Firm That Funded Facebook Explains How To Hire Big Data Hype (and Reality) - Gregory Piatetsky-Shapiro The potential of “big data” has been receiving tremendous attention lately, and not just on HBR’s site. With interest in the topic growing exponentially, it has been the focus of countless articles and perhaps too many meetings and conferences. But to the extent that big data will have big impact, it might not be in the classic territory addressed by analytics. Most applications of data mining and analysis have been, at their hearts, attempts to get better at prediction. Film ratings. In just two weeks, several teams had beaten the Netflix algorithm, although by very small amounts, but after that, progress was surprisingly slow. Netflix Price Competition Progress It took about three years before the BellKor’s Pragmatic Chaos team managed to win the prize with a score of 0.8567 RMSE. Customer attrition. A study [pdf] that Brij Masand and I conducted would suggest the answer is no. Web advertising response. The average CTR% for display ads has been reported as low as 0.1-0.2%.

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