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Apr
10
2012

"Big data, unstructured data, semi-structured data. Data is all over the technology news, and for good reason. It is overwhelming most organizations; requiring new ways to operate to stay competitive; helping to serve customers better; and bringing new products to market faster. "

bigdata unstructureddatas customers customerservice customerinsight insights customercentricity data knowledge knowledgecapital

  • According to a recent IBM Survey of 1,500 CEOs, a staggering number of CEOs describe their organizations as data rich, but Insight poor and voice frustration at not being able to transform available data into feasible action plans, let alone detect emerging opportunities.
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  • Unstructured data: Challenge or asset?
Mar
20
2012

"What exactly is Big Data? It’s a product of the Internet combined with all the new ways that are emerging to gather, discover and make sense of data. "

bigdata data discovery internetofthings decisionmaking analytics

  • The promise of Big Data is truly mind-boggling. If we can harvest insights from all of those sources of information, rather than being overwhelmed by data, we have the capacity to understand with greater precision than ever before how our world actually works. By applying analysis to data, we can see once-hidden patterns unfolding before our eyes so we can make better decisions about everything from personal financial planning to a company’s strategic direction.
  • Big Data: The New Natural Resource
Mar
16
2012

"Social media and social technologies are beginning to erode the potency of the old stack but as yet they don’t make up a new stack, one that will transform enterprises because it is coherent and because there is a clear implementation path.

So, we talk a lot about social but as yet we don’t have a social system for the enterprise. We don’t have a social stack in the way that the last generation of CEOs had a Wintel stack – not yet anyway, but it is close to hand."

socialmedia socialstack socialayer bigdata socialcrm humanresources reputationmanagement collaboration cloud analytics sales supplychain

  • To take the debate on a step I have roughed out the new stack – it shows that social media is in fact only a small part of the mix but an important one. The stack is bound to be incomplete but I thought it was worth sharing with you – you might have better ideas.
  • The Limits of Social Media (And The Growth of a New Social Stack) - Forbes
Mar
12
2012

"I actually believe there are qualities or behaviors that are distinctly different from business-as-usual and that can help businesses extract value from social media behaviors and technology. To me, they are what define a social business (and, yes, I do mean a business aligned with social media-based behaviors not necessarily a more socially responsible company. This latter definition is important just not my particular focus for now.)

We are a social business. That means we practice what we preach to our clients. There are 5 key behaviors of a social business that we focus on. I would love to hear what others think: "

socialbusiness values collaboration innovation casestudies ogilvy behaviors agility adaptiveness customerrelationship bigdata informationoverload analytics

  • Foster horizontal collaboration – hierarchies and departments matter less. The price of organizing around shared interests and needs has gone way down. Just
  • Make clear commitments to innovation – We can’t innovate and optimize ROI at the same time. If we are not careful, we will let our natural impulses to define things like ROI dampen our spirit for innovation. Let’s face facts, we are designing while driving the ca
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Feb
13
2012

"The real trend this year is not the technology. It’s about helping business people make better decisions, and actually change the way companies do business. Analytics has always been about transforming business, but the recent huge changes in analytic technology have created interesting new opportunities for business innovation."

b bigdata businessmodel customerservice risk bottlenecks analytics bi innovation insights unstructureddatas

  • Analytics technology has been changing fast. On the back end, new technologies have come together to provide what Gartner calls “extreme data performance”. These include in-memory, column data stores, in-database calculations, massively parallel architectures, complex event processing, Big Data / NoSQL / Hadoop, and cloud architectures.
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  • technology-behind-new-analytic-platforms
  • technology-behind-actionable-insights
Dec
27
2011

"Le supercalculateur Watson d'IBM doit commencer son travail d'évaluation en matière de traitement du cancer, à l'hôpital Cedars-Sinai de Los Angeles. Il pourra suggérer aux médecins le traitement le plus adapté en quelques secondes."

IBM watson health health2.0 bigdata bestpractices unstructuredinformation

  •  Là où Watson se montre vraiment utile dans ce contexte, c'est sur la richesse des informations qu'il est capable de traiter, informations en constante évolution, qui lui parviennent sous différentes formes, structurées et non structurées, depuis des systèmes eux-mêmes disparates », a expliqué Steve Gold. « Le secteur de la santé est particulièrement bien adapté pour tirer profit de cette compétence. »
Dec
20
2011

"Quelles tendances devraient, en 2012 et au delà, changer la vie des DSI et des utilisateurs ? A cette question qu'il pose chaque fin d'année, le Gartner répond d'une manière très inhabituelle."

gartner predictions cloud socialnetworks enterprisesocialnetworks enterprisesocialsoftware email mobility smartphones IT bigdata

  • En 2015, les services de cloud à faible coût seront cannibalisés (jusqu'à 15 %) par les spécialistes de l'externalisation.
  • En 2013, la bulle des investissements pour les réseaux sociaux des consommateurs va éclater, celle formée sur les logiciels de réseaux sociaux d'entreprise suivra en 2014.
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Dec
9
2011

"This is contradicting but shows the challenge as well, because more than 75 percent of the average market value is from intangible assets. The challenge is that these aren’t quantified in financial metrics. Intangible assets consists of human-, organizational- and information capital. "

intangible intangibleassets value marketvalue innovation finance humancapital organizationalcapital informationcapital metrics bigdata cooperativeintelligence intelligence valuecreation

  • Investments in organizational capital means investing time and money in open business models, open innovation and setting the right conditions for creative ‘knowledge workers’. Last but not least, investments in information capital spur the collection, interpretation and thus quality of the available internal information.
  • 85 percent of Fortune 500 organizations will fail to effectively exploit big data for competitive advantage
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Aug
25
2011

"One of the issues I have with many BI tools is that you have to set up what you are looking for before you start and thus miss the opportunity to find relationships beyond the anticipated. Endeca is tackling this issue in several ways. First, it allows for a greater dialog between business analysts and IT as BI applications are set up so that a more iterative process can occur and unanticipated questions can emerge through this dialog. Second, the actual applications can supply suggestions to the user through unanticipated facets to further explore their topics of interest. I recently spoke with Endeca’s Chief Strategist, Paul Sonderegger, to understand what they are offering and will cover these issues and others in more detail here."

BI bigdata problemsolving

  • They created an application that provides answers for aircraft technicians. The application pulls together content from a vast diversity of sources to answer questions that cannot be anticipated in advance.
  • First diverse data is brought together. Then it is made available to people with business expertise and not simply the technical experts.  Finally, the tool is made to adapt to a constantly changing set of requirements. You can create comprehensive data visualization
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May
17
2011

"Analyzing large data sets—so called big data—will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus as long as the right policies and enablers are in place.

Research by MGI and McKinsey's Business Technology Office examines the state of digital data and documents the significant value that can potentially be unlocked. "

productivity data bigdata competition innovation decisionmaking

  • If US health care were to use big data creatively and effectively to drive efficiency and quality, the sector could create more than $300 billion in value every year. Two-thirds of that would be in the form of reducing US health care expenditure by about 8 percent. In the developed economies of Europe, government administrators could save more than €100 billion ($149 billion) in operational efficiency improvements alone by using big data, not including using big data to reduce fraud and errors and boost the collection of tax revenues. And users of services enabled by personal location data could capture $600 billion in consumer surplus.
  • Making big data more accessible in a timely manner. In the public sector, making data more accessible across otherwise separated departments can sharply reduce search and processing time. In manufacturing, integrating data from R&D, engineering, and manufacturing units to enable c
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