Our Terms of Use and Privacy Policy have changed. We think you'll like them better this way.

  • 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

  • 00:31

    Understand the Difference Between Data Science and Analytics

    in Technology

    It's becoming more common to see the terms analytics and data science used interchangeably. However, there is a difference that organizations have to understand, not only when hiring for their data science teams but in shaping their data initiatives.

    One way to set data science apart is to consider the use of data that reflects the "Three V's" of Big Data, volume, velocity, and variety. Adam McElhinney, director of data science at predictive analytics company Uptake, joins All Analytics Radio to discuss how those Three V's set apart a data science project. McElhinney, formerly head of business analytics and marketing analytics for Enova Financial, has deep experience in business analytics, credit modeling and credit scoring, consumer finance, business development, performance optimization, strategic planning, and statistical analysis.

    Tune into All Analytics Radio at 2 pm (EST) on Monday, November 23, to learn how you can take your analytics initiative to the next level by utililizing those key elements of Big Data: volume, velocity, and variety.



  • 00:48

    Data Security

    in Business

    On November 20 my guest will be Brian Rauer, Executive Director of the Mid-Hudson (NY) Better Business Bureau and General Counsel of the Better Business Bureau serving Metropolitan New York.  Earlier experience includes the Manhattan based law firm of Plunkett & Jaffe, P.C.   Mr. Rauer serves on the Westchester County Consumer Advisory Council and was formerly on the Administrative Law Judge/Hearing Officer roster for the Westchester County Human Rights Commission.  He previously served on the Board of Directors of the NY County Lawyers’ Assn. (NYCLA) and on the House of Delegates of the NY State Bar Association. He is a past Chair of the NYCLA Cyberspace Law Committee. He previously served on the Board of Directors of the Association for Conflict Resolution-Greater NY Chapter and the Board of Directors of the NY State Dispute Resolution Assn.  Mr. Rauer formerly hosted/presented a regular segment on a nationally syndicated radio show and has presented an extensive array of programs on hot topics of public interest, including privacy/security, ID theft prevention and ethical business practice.  He is a Magna Cum Laude graduate of Tulane Law School, receiving the Tulane Law Dean's Medal and selection for the Order of the Coif.  Mr. Rauer earned his B.S. degree, Summa Cum Laude, in Business Administration. 

  • 00:29

    What is the important gleaned data from the big data sets

    in Books

    What is big data, and why do leaders' gravitates toward big data in making strategic decisions. And why do leaders now depend on big data interpretation for managerial decisions? Simply stated, due to technological situational happenstances, there have been surge of convergences of Information Technology (IT) with the Operational Technology (OT) for strategic decision making. Deft leaders and managers should now collaborate with DS, DA, IA to formulate and set #IoT goals' towards maximization of profit  These technological pathways have been changed due to iCloud, Information, Mobile, and Social media, thereby removing all intermediaries from their node. To quickly redact, communication between inanimate objects called the Internet of Things #IoT. And Industrial Internet of Things (IIoT) is where industry communicates with one another like the caterpillar building industry communicating with say with the agricultural department,

  • 00:34

    All Analytics Academy: Data Science Recruiting Strategies

    in Technology

    You might be tired of hearing that data scientist is the world's sexiest job, but you can't question the fact that data scientists and other analytics professionals are in demand. That means that you probably won’t find qualified candidates lined up at your door when you post job openings for your analytics team.

    Organizations need to know how and where to recruit analytics professionals, whether the search is for highly experienced data scientists or young team members fresh from college.

    Research has shown that simply tossing money at candidates isn't a long-term solution. Those candidates will look at your company's growth opportunities, work environment, management talent, range of benefits, and quality and personalities of their potential coworkers. Of course, the paycheck does count too.

    Linda Burtch, founder of Burch Works Executive Recruiting, specializes in matching data scientists with new employers, and shares her advice for managers building analytics teams and those who may be testing the job market.

    In this session you will learn:

     More about the state of the talent pool, and what skills and experiences are available and where hiring demand is strongest
    What some analytics positions are commanding for salary and total compensation packages
    The types of lifestyle and work-life benefits strong candidates look for
    About innovative strategies that successful companies are using to hire and groom great talent

    The All Analytics Academy: Building a Successful Analytics Team series continues throughout November.

  • 02:22


    in Spirituality



  • 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.

  • The NLP View: The Meta Model Demystified

    in Psychology

    The Meta Model was the first model that led to NLP, it is the skeleton that the rest of the NLP Model hangs around. It is an incredibility powerful tool for consultants, trainers, coaches and therapists to radically improve their ability to create change in their clients. However, there have been very few attempts to clarify the Meta Model or frame it in a more useful and comprehensible manner, and many NLP books and trainings regurgitate the same old stuff from outdated and outmoded source material. The Meta Model Demystified thoroughly updates the language patterns and explains how to use the Meta Model to create seemingly magical change simply and easily.In this segment of The NLP View Radio Show, host, Donna Blinston RGN, talks to Matt Caulfield, an NLP Certified Trainer and Master Practitioner to talk abouthis best-selling book, The Meta Model Demystified, part of The NLP Demystified Series. 

    Do you like FREE stuff? Tune in to The Organic View Radio Show, Monday through Friday @6pm Eastern and visit our contest section at www.theorganicview.com/contests to win one of our monthly prizes!

    Today’s show is sponsored by The City of Sevierville, the east coast’s hottest most affordable eco-travel destination for families, couples and holiday weekends. If you want to relax, reconnect with nature and have the time of your life, please check out VisitSevierville.com!

  • 00:11

    Data Analytics and Global Talent Gaps

    in Business

    It is said that what is measured, is what is capable of change.  But everything can be measured and everything can be changed overnight.  However, 65% of change efforts fail and yes, some of that is attributed to the change management process, but come on let's not put all of the accountability on the change management folks.  What about the data analysis and findings that gave life to the change?  Yes, data does lie.  And that's because numbers can tell you what you want them to tell you.  There are a lot of qualitative data that are overlooked everyday in organizations because they are easier to put into an excel sheet and present for buy-in decisions, not because they are the whole truth.  During this episoce, we will discuss one area that Data is highly used, yet not necessarily in the most effective way.



  • 00:42

    Data-Driven Justice

    in Non-Profit

    Ralph Martire, the Executive Director for the Center for Tax and Budget Accountability (CTBA) believes it essential to have the commitment and ability to stay focused on resolving major inequities for the long term, and to work collaboratively with other experts, organizations, and opinion leaders to move the agenda forward. “Gone are the days when community leaders could gather a crowd, make an emotional appeal, and then step back and watch elected officials respond in a meaningful way”, Martire said.  “Not only must nonprofit leaders make the moral case for systemic change, they have to be prepared to back it up with evidence.”

    Join us as Ralph Martire talks about CBTA’s programs and services and ways community-based organizations can use data to drive policy, advocacy and programs to bring about social justice.

    Call in live at (347) 884-8121. You don't need an account to listen, but, if you want to participate in an online chat, open a listener-only account at https://secure.blogtalkradio.com/register.aspx?type=listener to participate in a live chat.

    Visit Valeriefleonard.com.  Archived episodes may be found at http://Valeriefleonard.com/NonprofitU, iTunes, Podcast Chart, Blubrry and Stitcher.

  • 00:31

    Shape the Next Generation of Data Scientists

    in Technology

    Demand for analytics professionals won't abate soon. Businesses around the world will be looking to hire young analytics professionals to support their big data initiatives. Those businesses will need analytics/data science professionals who are strong in data management, modeling, visualization, and other technical skills, but they also require business experience.

    Yes, the two worlds of technology and business can meet. Dr. Goutam Chakraborty, a professor of marketing at Oklahoma State University, is heading up a new masters in analytics program, based on what he has learned leading the school's previous certificate program. The new program will expose students to statistics, of course, but will also draw on staff expertise in information science, industrial engineering, and marketing.

    In this All Analytics Radio program, Dr. Chakraborty will share his experience and his advice on crafting an analytics program for the future, one that will prepare young data scientists to step into the business world ready to contribute to an analytics initiative, and he will help employers understand what they can expect from the classes of 2018 and beyond.

    In this show you will learn:

    About the strategies that colleges are using to shape an analytics workforce for the future
    How colleges and employers can work together to define curricula and internships
    About what type of impact today's undergraduate and graduate data science programs can have in closing the analytics skills gap.

    Join us at 2 pm (ET) on Tuesday, October 20, on All Analytics Radio.