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  • Gerrit Eicker 19:00 on 7. May 2012 Permalink
    Tags: , BDA, Big Data, Big Data Apps, , , , , ,   

    BDA vs. SaaS 

    TC: The rise of big data apps and the fall of #SaaS; http://j.mp/IQXU09 #BDA #BigData http://eicker.at/BigData

     
  • Gerrit Eicker 07:00 on 22. April 2012 Permalink
    Tags: , , Big Data, , , , , , ,   

    Big Data: Predictive Analytics 

    Larger datasets allow better predictive analytics: Big Data is a lot more than business buzz; http://eicker.at/BigData

     
  • Gerrit Eicker 07:00 on 21. April 2012 Permalink
    Tags: , Big Data, Game Changer, , , , , , ,   

    Big Data: Game Changer 

    Big data is beginning to forever alter the relationship of technology to information consumption; http://eicker.at/IT2012

     
  • Gerrit Eicker 07:00 on 20. April 2012 Permalink
    Tags: , , , Big Data, , Competency, , , ,   

    Big Data: Must Have Competency 

    Big Data earns its place as a must have competency; http://eicker.at/MobileCloudWars #BigData http://eicker.at/BigData

     
  • Gerrit Eicker 07:00 on 12. April 2012 Permalink
    Tags: , Big Data, , , , , , , ,   

    Social Analytics and Big Data 

    New techniques are required for social analytics as well as to handle the volumes of big data; http://eicker.at/SocialBusiness

     
  • Gerrit Eicker 07:00 on 8. April 2012 Permalink
    Tags: , , Big Data, , , , , , ,   

    IT High-stakes Battles 

    2012 will see first high-stakes battles in: mobile, cloud, social networking, big data; http://eicker.at/MobileCloudWars

     
  • Gerrit Eicker 12:31 on 27. March 2012 Permalink
    Tags: , Big Data, , , , , , , ,   

    Big Data Transformation 

    GigaOM: 10 ways big data changes everything; http://j.mp/GTmQRw #BigData http://eicker.at/BigData

     
  • Gerrit Eicker 23:17 on 23. March 2012 Permalink
    Tags: , , , Big Data, , , , NoSQL, ,   

    Big Data: Old Heroes! 

    GigaOM: Is big data new, or have we forgotten its old heroes? http://j.mp/GTuMPW #BigData http://eicker.at/BigData

     
  • Gerrit Eicker 15:12 on 13. January 2012 Permalink
    Tags: , Agility, , Amazon Elastic MapReduce, , , Apache Hadoop, Big Data, , , Big Data Processing, , Business Opportunities, , , , , , , Data Science, , , , , , , , , Microsoft Hadoop, , , , , , , ,   

    Big Data 

    Larger datasets allow better predictive analytics: Big Data is a lot more than business buzz; http://eicker.at/BigData

     
    • Gerrit Eicker 15:12 on 13. January 2012 Permalink | Reply

      Wikipedia: “In information technology, big data consists of datasets that grow so large that they become awkward to work with using on-hand database management tools. Difficulties include capture, storage, search, sharing, analytics, and visualizing. This trend continues because of the benefits of working with larger and larger datasets allowing analysts to ‘spot business trends, prevent diseases, combat crime.’ Though a moving target, current limits are on the order of terabytes, exabytes andzettabytes of data. Scientists regularly encounter this problem in meteorology, genomics, connectomics, complex physics simulations, biological and environmental research, Internet search, finance and business informatics. Data sets also grow in size because they are increasingly being gathered by ubiquitous information-sensing mobile devices, aerial sensory technologies (remote sensing), software logs, cameras, microphones, Radio-frequency identification readers, wireless sensor networks and so on. Every day, 2.5 quintillion bytes of data are created and 90% of the data in the world today was created within the past two years.

      ATD: “Over the last several years, there has been a massive surge of interest in Big Data Analytics and the groundbreaking opportunities it provides for enterprise information management and decision making. Big Data Analytics is no longer a specialized solution for cutting-edge technology companies – it is evolving into a viable, cost-effective way to store and analyze large volumes of data across many industries. … Big Data technologies like Apache Hadoop provide a framework for large-scale, distributed data storage and processing across clusters of hundreds or even thousands of networked computers. The overall goal is to provide a scalable solution for vast quantities of data … while maintaining reasonable processing times. … The barriers to entry for Big Data analytics are rapidly shrinking. Big Data cloud services like Amazon Elastic MapReduce and Microsoft’s Hadoop distribution for Windows Azure allow companies to spin up Big Data projects without upfront infrastructure costs and allow them to respond quickly to scale-out requirements. … To apply this new technology effectively, it is important to understand its role and when and how to integrate Big Data with the other components of the data warehouse environment. … Hadoop provides an adaptable and robust solution for storing large data volumes and aggregating and applying business rules for on-the-fly analysis that crosses boundaries of traditional ETL and ad-hoc analysis. It is also common for the results of Big Data processing jobs to be automated and loaded into the data warehouse for further transformation, integration and analysis. … Big Data adoption will continue to be driven by large and/or rapidly growing data being captured by automated and digitized business processes. … As we move into the age of Big Data, companies that are able to put this technology to work for them are likely to find significant revenue generating and cost savings opportunities that will differentiate them from their competitors and drive success well into the next decade.”

      ORR: “Big data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn’t fit the strictures of your database architectures. To gain value from this data, you must choose an alternative way to process it. .. The hot IT buzzword of 2012, big data has become viable as cost-effective approaches have emerged to tame the volume, velocity and variability of massive data. … The value of big data to an organization falls into two categories: analytical use, and enabling new products. … The emergence of big data into the enterprise brings with it a necessary counterpart: agility. Successfully exploiting the value in big data requires experimentation and exploration. Whether creating new products or looking for ways to gain competitive advantage, the job calls for curiosity and an entrepreneurial outlook. … If you could run that forecast taking into account 300 factors rather than 6, could you predict demand better? – This volume presents the most immediate challenge to conventional IT structures. … The importance of data’s velocity – the increasing rate at which data flows into an organization – has followed a similar pattern to that of volume. … A common theme in big data systems is that the source data is diverse, and doesn’t fall into neat relational structures. It could be text from social networks, image data, a raw feed directly from a sensor source. None of these things come ready for integration into an application. … The phenomenon of big data is closely tied to the emergence of data science, a discipline that combines math, programming and scientific instinct. Benefiting from big data means investing in teams with this skillset, and surrounding them with an organizational willingness to understand and use data for advantage. … If you pick a real business problem, such as how you can change your advertising strategy to increase spend per customer, it will guide your implementation. While big data work benefits from an enterprising spirit, it also benefits strongly from a concrete goal.

      Beye: “What is This Thing Called Big Data? – It’s difficult to avoid big data these days. More correctly, it’s difficult to avoid the phrase ‘big data.’ It has become such an integral part of the sales pitches of so many vendors and the blog posts of so many experts that one might be forced to conclude that big data is all-pervasive. The truth is far more complex. Even a definition of big data is elusive. … Big data is not, in essence, something entirely new. The problem is, to a large extent, one of scale; hence the name. However, the insights we currently have into these categories listed earlier and the different tools and approaches they require must be carried forward into how we handle these same data categories at a larger scale. … As a result, depending on your point of view, big data appears either as a giant wave of business opportunity or a huge precipice of potential technological and management pain.

      Beye: “What is the Importance and Value of Big Data? – Recognizing that big data has long been with us allows us to look at the historical value of big data, as well as current examples. This allows a wider sample of use cases, beyond the Internet giants who are currently leading the field in using big data. This leads us to the identification of value in two broad categories: pattern discovery and process invention. … Clearly, discovering a pattern in, for example, customer behavior may be very interesting, but the real value occurs when we put that discovery to use by changing something that reduces costs or increases sales. … More recently, combining data sets from multiple sources, both related and unrelated, with increasing emphasis on computer logs such as clickstreams and publicly available data sets has become popular. … The second approach to getting business value from big data involves using the data operationally to invent an entirely new process or substantially re-engineer an existing one. … For those contemplating investment in big data, the most important conclusion from this article is to recognize that there are very specific combinations of circumstances in which big data can drive real business value. Sometimes, of course, it is the price for simply staying in the game…

  • Gerrit Eicker 07:18 on 30. December 2011 Permalink
    Tags: , , , , Big Data, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,   

    Predictions for 2012 

    Thoughtful new year’s predictions on media, social media, analytics, S/CRM, big data; http://eicker.at/PredictionsFor2012

     
    • Gerrit Eicker 07:19 on 30. December 2011 Permalink | Reply

      Guardian: “Media predictions for 2012: press and digitalPress[W]ith print sales continuing to fall and advertising revenue stubbornly refusing to grow, publishers will axe more regional and local titles. … National titles will suffer print declines too, just as they have done for five and more years. It is doubtful that any will close in 2012, but the tabloids will rue the day they brought Leveson down on their heads. … – Digital – It is one of the most hotly anticipated flotations in US corporate history; on track to be the biggest internet public offering since Google. For Mark Zuckerberg and his seven-year-old social network, 2012 will be the year when Facebook goes public. … In the digital world, 2011 will always be remembered for one thing: the untimely passing of Steve Jobs.Having transformed digital music, smartphones and tablet computers in recent years, Apple’s next big bet looks set to be TV. Apple is reported to have fast forwarded its planned assault on the living room since Jobs’s death, with ideas focusing on software that recognises viewers’ tastes across a number of devices without the hinderance of a remote control. Expect more on this in 2012.”

      Forbes: “Social Media Predictions For 2012Companies sometimes gripe that social media is useless as a branding tool. – For marketers, converting messages into transactions is the Holy Grail, but if they don’t quickly materialize through new media outlets, that’s no reason to throw in the towel. Facebook, Twitter, YouTube and other outlets are constantly evolving and experimentation is necessary to find success. – Once we accept that ‘social’ does not equal ‘transactional’ we’ll all be a lot more adept at using it in 2012.Geo-location has been an important marketing tool for a few years, but in 2012 it will become more personal and more transactional, especially in social-media marketing. … How will that work? Look for marketers to motivate and change behavior through geo-location tools and social gaming. … There’s a reciprocal relationship between the check-in and the reward, which is what game dynamics are about-rewarding behavior through real and virtual currency. … These are ways for brands to say, ‘Believe in us, be part of our community, and when you engage with us, we notice.’ It’s that acknowledgement that creates loyalty, advocacy and drives earned-media value. … Would it surprise anyone to think Facebook will become the overlay of the Internet experience? It may not happen in 2012 but it certainly will in our lifetimes. … As marketers build the bridge to commerce through online communities, it is imperative that they do not cannibalize them for the sake of transactions. … Imagine being at a party with people you know and feel comfortable with, and then suddenly, an outside group of revelers crashes your bash. It’s not the same party anymore. You don’t want to be there. You aren’t going to stick around. … Brands in 2012 must create a social world of personalization. – Facebook has built a model for this. Its ‘pages’ function enables brands to engage customers on a virtual island and have a theme party of their choosing. … The Facebook triad of Pages-Ads-Stories is one example of how to create a loop using paid media dollars to drive earned media. … The best kind of media is organic earned media. In 2012, social media as a bridge to commerce may seem obvious, but the journey will be much more interesting-and lucrative.

      HBR: “Six Social Media Trends for 2012Social media continues to move forward toward business integration, a trend that I identified last year. … I was also partially accurate in predicting that Google would ‘strike back’ in 2011. They did, with Google Plus, a formidable initiative that acts as Google’s ‘social layer’ to the Web. … So what can we expect in 2012 in a world that seems to grow ever connected by the hour? Here are six predictions to ponder, in no particular order: Convergence Emergence. For a glimpse into how social will further integrate with ‘real life,’ we can look at what Coca Cola experimented with all the way back in 2010. … These types of ‘trans-media’ experiences are likely to define ‘social’ in the year to come. … The Cult of Influence. In much the same way that Google has defined a system that rewards those who produce findable content, there is a race on to develop a system that will reward those who wield the most social influence. … Gamification Nation. No we’re not taking about video games. Rather, game-like qualities are emerging within a number of social apps in your browser or mobile device. From levels, to leaderboards, to badges or points, rewards for participation abound. … Social Sharing. Ideas, opinions, media, status updates are all part of what makes social media a powerful and often disruptive force. The media industry was one of the first to understand this, adding sharing options to content, which led to more page views and better status in search results. What comes next in social sharing is more closely aligned with e-commerce or web transactions. … Social Television. For many of us, watching television is already a social act, whether it’s talking to the person next to you, or texting, tweeting, and calling friends about what you’re watching. But television is about to become a social experience in a bigger and broader sense. … The Micro Economy. Lastly as we roll into 2012, watch for a more social approach to solving business problems through a sort of micro-economy… a new future reality where economic value is directly negotiated and exchanged between individuals over institutions.”

      WMG: “Social Media Analytics – A lot of the platforms I deal with in Social Media Analytics were in the process of being acquired and as I am the most connected with this space than any other, I’ll start with it… by the end of 2012, most of them will have been acquired. … Google, as I covered, will enter the space as a collection system and PR type dashboard… Google will become the market leader, forcing standards in Social Media Measurement that industry needs but lacked the consensus to enact. … As a result of the imminent appearance of Google in 2012 as the emerging market leader in SMM, the remaining independent firms will face choices of consolidation (mergers of disparate platforms) or will hurry off to sell themselves to advertising, marketing, market research or PR agencies that haven’t been able to scale social listening, successfully. … Analytics platforms will improve or incorporate mobile Analytics, which, to a large extent, has been lacking in the first and second generation platforms. … It’s not much of a stretch that as more and more people are using mobile devices, and the mobile devices are becoming more powerful, that more time will be spent generating social media, and that by the end of 2012, social media data will, for all it’s limitations, be a must have for most businesses to capture. … I think there’s a good bet that Web Analytics and Social Media Analytics will merge in 2012…

      ZDNet: “CRM 2012 Forecast – The Era of Customer Engagement – Part IWhat customer engagement does mean (so there is no nebulosity here) is the company’s and the customer’s relationship is defined by the customer’s ongoing involvement with the company for their own specific reasons. The company doesn’t have to know all of them. – It does mean that it is an era where the engagement the customer has with the company is controlled by the customer – and it can be at any level. … It does mean that the company model is to provide the customer with the products, services, tools and experiences that the customer needs to make an intelligent decision on how they want to be (selectively) engaged with the company. … It does mean the provision of a measurable result when it comes to that engagement via direct or indirect impact on revenue or some other key performance indicators that show the value of the engagement to the company – and the customer. … It does mean the use of systems of engagement … which are systems that foster the interaction of the company with the customer. … The Era of the Social Customer Ends…CRM began to morph into Social CRM, business into social business, and internal collaboration became more than just an advanced idea and was put into practice at many of the Global 2000 companies and some even smaller than that. … For the first time, we began seeing leading academicians and consultants, like Dr. V. Kumar, create a quantifiable metric for the revenue impact that social customers were having on a company that was designed to work with the traditional measure of customer lifetime value (CLV). …The Era of Customer Engagement Begins – The social customer is no longer a customer to gawk out, just a customer to deal with – like any other customer, with one explicit difference. … What defines the Era of Customer Engagement more than anything is that so-called social channel strategy is now a normal part of multichannel strategy for the company. To be clear, customer engagement means that customers are part of the company’s collaborative value chain. The customer selects how they want to interact with you, and hopefully uses your products, services, tools and consumable experiences to make that decision.

      PG: “CRM 2012 Forecast-The Era of Customer Engagement Begins- Part IIGamification, while often over hyped and misunderstood, is a concept that has increasingly important business value.Insight Solutions will emerge as a technology category of its own – One thing that we can’t ignore (okay, that I can’t ignore) is that if customer engagement is to work, then insights into how customers want it to work are becoming increasingly necessary. The current generation of social media monitoring tools with a few exceptions – Radian6 and Attensity come immediately to mind… There are a number of emerging players in this space which I’m calling ‘insight solutions’ who have been misplaced in or evolved from other market categories. … This is not to say that more ‘traditional’ analytics such as text and sentiment analysis, business intelligence, etc are going to be replaced or suffering. In 2012, they will be even more important than they are now. … Analytics as a whole is becoming fundamental to all business strategy. 2012 brings more of that than ever and the rise of a new category customer-focused solution that provides a combination the surfacing of dynamic information and the analysis of that behavior as dynamically as it is surfaced. … In 2011, we saw a significant shift away from the pure left-brained messaging of CRM toward a much stronger focus on customer interactions, engagement and behaviors. … Social marketing becomes an integral part of an explosive marketing automation sector – In other words, there is a recognition that social channels are now part of the mainstream and that they are additions to the channels that we’ve reached customers on traditionally. … 2012 will bring us continued explosive growth in marketing, especially social marketing because we have reached ubiquity when it comes to utilizing social channels as part of campaign planning.

      ORR: “Five big data predictions for 2012 – This year has seen consolidation and engineering around improving the basic storage and data processing engines of NoSQL and Hadoop. That will doubtless continue, as we see the unruly menagerie of the Hadoop universe increasingly packaged into distributions, appliances and on-demand cloud services. … Hadoop’s batch-oriented processing is sufficient for many use cases, especially where the frequency of data reporting doesn’t need to be up-to-the-minute. However, batch processing isn’t always adequate, particularly when serving online needs such as mobile and web clients, or markets with real-time changing conditions such as finance and advertising. … Your own data can become that much more potent when mixed with other datasets. For instance, add in weather conditions to your customer data, and discover if there are weather related patterns to your customers’ purchasing patterns. … As data science teams become a recognized part of companies, we’ll see a more regularized expectation of their roles and processes. One of the driving attributes of a successful data science team is its level of integration into a company’s business operations, as opposed to being a sidecar analysis team. … [I]sualization fulfills two purposes in a data workflow: explanation and exploration. While business people might think of a visualization as the end result, data scientists also use visualization as a way of looking for questions to ask and discovering new features of a dataset. – If becoming a data-driven organization is about fostering a better feel for data among all employees, visualization plays a vital role in delivering data manipulation abilities to those without direct programming or statistical skills.

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