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Three "Housekeeping" Trends Impacting Big Data and Analytics Strategies As the Big Data marketplace moves closer to a point of mass-maturity, business leaders have begun to take new approaches to implementation and utilization. Advanced analytics solutions have made their way into a range of industries and regions, and companies that successfully align these investments with core goals and requirements will enjoy more progressive improvements to operational sustainability, intelligence and general performance. However, there is some housekeeping that must be addressed as organizations embark on Big Data and analytics initiatives. Data preparation, information governance and security are three fundamental elements of effective analytics strategies, yet, ironically, each has been largely ignored by many organizations in the rush to realize the promise of Big Data. 1.... (more)

Big Data Vision | @CloudExpo #BigData #IoT #M2M #DigitalTransformation

This is an unusual blog for me. Usually I talk about how organizations can more effectively leverage data and analytics to power their business. However, as I conduct more Big Data Vision Workshops, I have come to realize that a big part of the success of these engagements is the ability to “listen and comprehend.” Here are some observations and tips for “listening and comprehending” more effectively. I’ve classified this as “facilitation” because I seek to “facilitate” a dialogue with the client where I can learn enough about the client’s business to help them build the right B... (more)

Determining the Economic Value of Data | @BigDataExpo #Cloud #BigData #Analytics

[Note: I have been trying to write this blog for several years. But instead of trying to perfect the concept, perhaps the best approach is to simply put the idea out there and let it percolate amongst my readers. My University of San Francisco Big Data MBA students will get a chance to test and refine the approach outlined in this blog.] Data is an unusual currency. Most currencies exhibit a one-to-one transactional relationship. For example, the quantifiable value of a dollar is considered to be finite – it can only be used to buy one item or service at a time, or a person can ... (more)

The Big Data Intellectual Capital Rubik’s Cube | @BigDataExpo #IoT #Cloud #BigData

The Big Data Intellectual Capital Rubik's Cube This is another topic that has taken me a long time to write, but several conversations with Peter Burris(@plburris) from Wikibon finally helped me to pull this together. Thanks Peter! I’ve struggled to understand and define the Intellectual Capital (IC) components – or dimensions – of the new, Big Data organization; that is, what are the new Big Data assets that an organization needs to collect, enrich and apply to drive business differentiation and competitive advantage? These assets form the basis of the modern “collaborative valu... (more)

The Future of IoT Data | @ThingsExpo #IoT #M2M #BigData #InternetOfThings

The Quantified Economy and the Future of IoT Data The Quantified Economy represents the total global addressable market (TAM) for IoT that, according to a recent IDC report, will grow to an unprecedented $1.3 trillion by 2019. With this the third wave of the Internet-global proliferation of connected devices, appliances and sensors is poised to take off in 2016. In his session at @ThingsExpo, David McLauchlan, CEO and co-founder of Buddy Platform, will discuss how the ability to access and analyze the massive volume of streaming data from millions of connected devices in real ti... (more)

How to Avoid 'Orphaned Analytics' | @ThingsExpo #IoT #M2M #API #BigData #Analytics

I’ve heard several clients complain about the curse of “orphaned analytics”; which are one-off analytics developed to address a specific business need but never “operationalized” or packaged for re-use across the organization. Unfortunately, many analytic organizations lack a framework for ensuring that the analytics are not being developed in a void.  Organizations lack an overarching model to ensure that the resulting analytics and associated organizational intellectual capital can be captured and re-used across multiple use cases. Without this over-arching analytics framework... (more)