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  • 00:30

    What are the limitations and variable costs of using "Big Data Information?"

    in Books

    This week discussion will focus on how leaders or team managers decipher variable costs and the limitations of the disruptive components of Big Data. There is limitation on to the insights of the “important data” gleaned from complex, structured and unstructured data that have resulted in about 75 percent of data ultimately becoming useless after 80 days (Leigh, 2013; Tamm-Daniels, 2013). Not only that the overwhelming data collated by DA, DS, IA, OT and IM does become unusable, the limitation are equally intertwined with the analysts, leader’s and manager’s emotional intelligent, intuitiveness, and above all, their prejudice experiences leading to whether or not the data will be skewed subliminally into achieving set organizational objective. Because the raison d’etre of any organization is to maximize profit. There is also this scalable hurdle to jump such as the Information Governance, Sarbanes-Oxley compliance now extended to the use of big data that was initially connected with certifying the accuracy of financial statements under Section 302, “Corporate responsibility and Financial Reports” (Eaton, and et al, 2012; Jarausch and Hardy, 1991). These variables are direct or indirect costs that needed to be implicitly measured in terms of ROI with respect to IoT and IIoT. And the aforementioned will be the topic of examination and lecture this week. Also read more about this discussion inside here at http://tinyurl.com/nky952l

  • 00:29

    Bit of data used in financing real estate has metamorphosed into big datasets

    in Books

    The discussion this Friday will focus on the historical bit of data originally used in financing real estate mortgage in the 1800s. This bit of data significantly became the nucleus of understanding the etymology of real estate and its present connotations. Most importantly, the bit of data has metamorphosed into big data sets used within the present real estate transactions (scan through here at http://tinyurl.com/lz45vxn). Information in real estate that were hard to come by or hard deciphered are now readily available to estate agents, buyers, sellers and investors.  Explaining and navigating through these capricious sea changes of big data and its global implications on real estate will be the congenial twin of Internet of Things #IoT and Industrial Internet of Things #IIoT.  Read more inside here at http://tinyurl.com/o52lwvm

  • 00:31

    Big Data Software Solutions

    in Technology

    Greeting and welcome to Radio Time Productions with Valerie Jarrette Bass, Host. Broadcasting live from beautiful South Florida. Our guest today is Gerald Cantor, Owner/CEO at TriFokus Solutions, LLC discussing Big Data, prebuilt virtual machines, ecosystem, Cloudera...


    Mobile-friendly - Big data is a broad term for datasets so large or complex that traditional dataprocessing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. ‎Big Data (band) -


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  • 00:03

    Big Data Technology Computer Industry

    in Technology

    Greeting and welcome to Radio Time Productions with Valerie Jarrette Bass, Hosst. Broadcasting live from beautiful South Florida. Our guest today is Gerald Cantor, Owner/CEO at TriFokus Solutions, LLC discussing Big Data, prebuilt virtual machines, ecosystem, Cloudera...


    Mobile-friendly - Big data is a broad term for datasets so large or complex that traditional dataprocessing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. ‎Big Data (band) -

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  • 00:34

    Don't Make This Mistake With Big Data

    in Technology

    With so many organizations eager to embark on big data initiatives, some are establishing big data teams in isolation, away from existing analytics resources. That could doom the big data strategy to failure.


    Bill Franks, author, thought leader, and chief analytics officer for Teradata, has noticed a key flaw in the big data approaches for too many organizations. He says that one of the most common mistakes organizations make as they try to incorporate big data into their analytics processes, is that they consider big data as having a completely separate and distinct set of capabilities.


    Franks has seen companies set up internal processes and organizational features to focus specifically -- and only -- on big data, this approach, unfortunately, is a recipe for trouble and can ultimately have a negative impact on an organization’s bottom line. 


    Franks joins All Analytics Radio on Friday, Dec. 11, at 1:30 pm EST to discuss how organizations can best structure their big data operations. Be sure to listen as Franks looks at some of the mistakes that organizations need to avoid in 2016, and he shares best practices for integrating big data analytics with the overall analytics structure.

  • 00:07

    Charles Handler, PhD breaks down big data for selection with Thug Metrics

    in Technology

    Rapping with Charles Handler from Rocket Hire about Big Data used in selection and screening. 


    Everyone meet Charles, Charles meet everyone:  


    As a technologist, futurist, business advisor, and selection systems scientist he has spent over 20 years helping organizations across the globe to realize quantifiable value through their processes for selecting and developing human capital. 


    Charles has helped design hundreds of selection systems putting through 10's of millions of jobseekers. He knows how to architect a hiring system.

  • 00:30

    Michael Harms talks Big Data on Thug Metrics: Hosted by Bryan Wempen

    in Technology

    Our conversations are real and can take twists and turns resulting in perspective about Big Data you will never get from those ladder climbing professionals playing it safe.  It's a weekly 30 minute show, completely uncensored on Big Data created by Bryan Wempen. No filters. Listen to the show every Tuesday, 9am/Central Time.


    Joining us will be Michael Harms, Executive Director of Operations at TDn2K. TDn2K is the parent company to People Report, Black Box Intelligence and White Box Social Intelligence.


    Connect with Michael:  www.linkedin.com/in/mgharm

  • 00:32

    William Tincup talks Big Data on Thug Metrics: Hosted by Bryan Wempen

    in Technology

    Our conversations are real and can take twists and turns resulting in perspective about Big Data you will never get from those ladder climbing professionals playing it safe.  It's a weekly 30 minute show, completely uncensored on Big Data created by Bryan Wempen. No filters. 


    Joining us will be William Tincup, Principal Analyst at KeyInterval Research, Business advisor and Co-Host of DriveThruHR - HR's #1 Podcast.  Listen to the show every Tuesday, 9am/Central Time starting January 13, 2015.


    Linkedin for William:  www.linkedin.com/in/tincup


     

  • 00:30

    Statistics Resources and Big Data

    in Internet

    This program will be featuring my white paper titled Statistics Resources and Big Data. We will be highlighting the latest and greatest resources covering statistics and big data including search engines, subject directories, articles, guides and tracers - literally everything needed for STATISTICS and BIG DATA !!! We will also discussing my latest freely available Awareness Watch Newsletter V13N4 April 2015 featuring Knowledge Discovery Resources 2015 and my freely available April 2015 Zillman Column highlighting Healthcare Online Resources 2015.  You may call in to ask your questions at (718)508-9839. The show is live and thirty minutes in length starting at 2:00pm EST on Saturday, April 11, 2015 and then archived for easy review and access. Listen, Call and Enjoy!!

  • 00:39

    Big Data – Geoff Colgan from Attadale Partners, joins us to talk it out.

    in Business

    Learn how Big Data is transforming insurance and call center operations, and why your company should be planning Big Data analytics to improve customer loyalty and enhance operating efficiency.


    Geoff Colgan from Attadale Partners, brings 25 years of experience leading change management for some of the most accomplished and successful public and private companies in the world. Geoff is a frequent presenter at conferences on topics such as operational performance, change management, and customer experience. Geoff’s work supporting strategy implementation has been referenced in a Harvard Business School case study. Before founding Attadale, Geoff spent almost 20 years serving global clients of Charter Consulting and Gemini Consulting, and in operations at Sun Alliance Life Assurance. As an Australian national, Geoff co-founded and is a past-president of the Australian New Zealand American Chamber of Commerce - Midwest, and remains active in the Australian and Chicago communities. Geoff earned an MBA with high honors from the University of Notre Dame and his bachelor’s degree in economics from the University of Western Australia. Geoff lives in Chicago with his wife and four daughters.

  • 00:31

    Jason Lauritsen shines light on engagement with big data with Thug Metrics

    in Technology

    Jason never disappoints, great convo coming about engagement and being a Best Place to Work.


    Everyone meet Jason, Jason meet everyone.


    Jason:  Even when I was in grade school, I recognized when processes were broken. But, rather than complain about them, my instinct was to find or create a better way. I solved the problem. I facilitated progress. I never outgrew this. 

    As my career unfolded, it became clear to me that the experience of “work” wasn’t a good one for far too many people. And so it has become my calling to make work better. I believe that work can and should be an awesome experience (It happens, I’ve seen it.). I believe that people want to do great work. I also believe that leaders want their people to be successful. The challenge seems to be that we are stuck in outdated mindsets and beliefs about “work” that get in our way. My mission is to fix that.