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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
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
As your big data initiative scales toward even bigger data, the odds are that the cloud will play a critical role in your strategy, whether for storage or as the home for your analytics applications. How can you trust the cloud to keep your data secure and to protect the privacy of your customers and partners?
Trust in the cloud has been growing as the concept has evolved, but cloud-based providers and your own organization can do more to ensure that the cloud is a secure environment for your data. Some of that work is being done by the Big Data Working Group of the Cloud Security Alliance.
Working group co-chair Wilco Van Ginkel, who is security strategist for Verizon Enterprise, joins All Analytics Radio to discuss the efforts to identify scalable techniques for data-centric security and privacy problems. The working group's goal is to crystallize best practices for security and privacy in big data, and to help industry and government organizations coordinate the development of big data security and privacy standards.
Van Ginkel will be available to address your questions and concerns and share his advice on building out a secure big data strategy in the cloud.
In this event you will learn:
About the progress that the cloud sector and its customers have made in building a secure environment
About some of the best practices for enterprises that the Cloud Security Alliance has already identified
What types of big data applications are ready for everyday life in the cloud
How security and privacy protections in the cloud environment may evolve in the year or so to come
Join the All Analytics community on Thursday, February 26, at 2 pm (ET), and bring your questions for Wilco Van Ginkel.
A bigger paycheck isn't the only reason to make the career move to data science. Well, that paycheck wouldn't hurt. Expertise in analytics and data-driven decision making is a new checkbox on any ticket to the C-suite, and could open doors in some of the world's biggest companies. Plus, you might not have to follow the pack of data scientists to California.
Those are just some of the predictions from Linda Burtch, founder of Burtch Works Executive Recruiting. Linda recently released her outlook for data scientist hiring and compensation, as well as the general enterprise trends that you can expect to see in 2015. With more than 30 years of experience recruiting quantitative professionals, she will discuss what data scientists can expect to see in the job market in the months ahead, while sharing advice on how you can advance your career when she joins All Analytics Radio to discuss her report 2015 Analytics and Data Science Hiring Market.
In this online event you will learn:
Why being a data geek is a must for future executive roles.
How more big name companies are turning to analytics and big data.
Which skills companies are looking for in data science and analytics professionals.
What data science expertise can mean to your paycheck.
Join the All Analytics community on A2 Radio at 3 pm (ET) on Wednesday, February 11.
In this age of big data and analytics, one of the problems that we face is that our ability to communicate and understand statistical outcomes has not advanced as rapidly as our proficiency in handling data. There's plenty of data but not enough understanding. Yet, we can better understand complex matters when we can experience them.
Simulated experience lets us do just that, for example, showing us how our retirement investments will play out when we really need them. Robin Hogarth, an emeritus professor at the Universitat Pompeu Fabra in Barcelona, along with fellow researcher Emre Soyer, explained how simulated experience can help us to make better use of big data analytics in a recent MIT Sloan Management Review article.
Now, Hogarth is joining the All Analytics community for the next episode of A2 Radio on Tuesday, Feb. 3, at 2 pm (ET) to discuss how enterprise analytics teams can make use of simulated experience in delivering data to their clients, helping those clients make better decisions.
In this A2 Radio Show you will learn:
About some of the ways that simulated experience has been used in society and in enterprise environments.
The types of applications where simulated experience can bring benefits and better decision making to your organization.
Why we need to "experience" complex data rather than just analyzing it.
This program will be featuring Statistics Resources and Big Data Subject Tracer™. This Internet Annotated Link Dataset Compilation is dedicated to the latest and most competent resources and tools for statistics and big data available over the Internet. The discussed selected research resources, sites, indexes and alerts offer excellent knowledge and information discovery sources to help you accomplish your statistics and big data research and discovery goals! We will also discussing my latest freely available Awareness Watch Newsletter V12N11 November 2014 and my freely available November 2014 Zillman Column covering Accessibility Resources On the Internet 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, November 8, 2014 and then archived for easy review and access. Listen, Call and Enjoy!!
With every website click and every tweet, share, like and call center inquiry, your company's data volume grows and grows. Big Data may be the newest marketing phenomenon but it can also be an overwhelming bit of TMI for small businesses to review, monitor and analyze all of these figures, numbers and stats. This episode of The Marketing Mojo Show will guide small businesses through these three maneuvers:
Where to find the data
What data is important for your business
How to use data to target your customers and develop new clients
To help guide listeners is special guest Nancy L. Hohns, LGK Marketing's in-house strategist, a marketing communications leader and idea architect with more than 25 years national experience in marketing, brand strategy, advertising, public relations and special events and author of In the Thick of It, Big Data vs. Gut Instinct.
Get the conversation started and use the hash tag #mymarketingmojo to comment on the question: How do you capture data for your business and what do you do with it?
Discover how to make your biggest decisions better with the use of data and analytics.
Running an enterprise means constantly making thousands of decisions. Depending on their complexity and the maturity of your data projects, some of those decisions are even being driven by data. But are you ready to make the really big, complex decisions using data? Are you ready to make billion dollar decisions? Can you map your future and feel confident that the decisions you are making come not simply from management intuition but sound data and analytics?
PwC’s new report, Guts & Gigabytes: Capitalizing on the Art and Science in Decision Making, shows that many companies are using data to make the day-to-day decisions of running the business, but few are using it to inform their strategic decisions. During this episode, Dan DiFilippo, PwC’s Global & US Data and Analytics Leader, will share the lessons from this report on how enterprises can make better use of data projects to bring data and analytics to intuition and experience.
Tune in on Monday, November 10, at 2 pm, to learn about:
Preparing your data projects for big decisions
Learning to use analytics to lead in the future
The anatomy of big decisions
The art of decision making powered by science
My conversations are authentic and take twists and turns resulting in raw perspectives about Big Data. You will not get these from the playing it safe and not willing to speak candidly Data Executives. 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 Chris Havrilla, Senior Director, HR Technology & Analytics at ADP. Chris has a unique combination of experience in the Recruiting, HR, Information Technology, and Professional Services fields that she leverages to do projects related to Talent Acquisition Strategy Development/Implementation; Full Life Cycle Recruiting; Sourcing; Technology, Tools, Systems; Social Recruiting / Social Media Strategy and Implementation; Candidate Assessments; Interviewing; Executive Search; Staffing Business Models, Processes; Training; Consulting; Human Capital; etc. As a Consultant, she have had clients ranging from SMB markets to the Fortune 100.
Connect with Chris:
Join the All Analytics community, the A2 Book Club, and author Jared Dean for a discussion about Dean book, Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners.
The potential for big data analytics in the enterprise is huge. It can help to bring in new customers, strengthen relationships with existing customers, identify efficiencies in enterprise operations, and lead to innovative new business opportunities. Factor in data mining technologies and techniques, and machine learning and we can leverage big data to enable predictive analytics applications that can help us to see where our businesses and our customers are moving. That is turning data into value.
In this half-hour A2 Radio Show you will learn about:
Predictive modeling techniques
Time series data mining
How organizations are finding bottom line success by "putting it all together"
Join us on Thursday, January 15, at 2 pm for our discussion with Jared Dean, and share your comments and questions with him and your peers in the analytics community.
My conversations are authentic and take twists and turns resulting in raw perspectives about Big Data. You will not get these from ladder climbing, playing it safe and not willing to speak candidly Data Executives. 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 Jessica Miller-Merrell: Author, Workplace Anthropologist & Field Analyst. She loves human resources, technology and recruiting. Jessica is self-acclaimed to be the most influential and visible professional in the industry, it's hard to argue this point. She worked in HR and recruiting in a corporate capacity most of her professional career until starting her consulting full time in 2009. In 2007, Jessica founded a popular HR blog called Blogging4Jobs. She writes, trains and speaks on all topics related to the human capital industry.
Connect with Jessica:
You have all heard about the hacking of big box retailer Target with the resulting loss of 40 million credit card numbers. However, what you may not be aware of is the fact the FBI is warning companies that deal in terabytes of consumer data that 2014 is shaping up to be a year fraught with peril. Many large companies are expected to be systematically targeted by international hacker collectives. In fact, a number of other companies and countries revealed that their data had been compromised to some degree in 2013, including such notables as Neiman Marcus, as well retailers in Germany and South Korea.
What makes these breaches particularly galling is not only the scopes of the penetration, but also the fact that hackers are able to blatantly offer sophisticated hacking tools for sale on the open market. Sources believe that the Target security breach was perpetrated by hackers who used malware purchased from a pair of Russian teens.
The real danger is the fact that not only is credit card information contained in these systems, but also is a tidal wave of other sensitive consumer information. Since data mining has become so endemic and identity theft has become such a problem for so many consumers, the question comes down to whether companies whom collect this information without your consent can be held liable if they are unable to protect it?