Thoughts of a Professional Public Speaker

Having some time off between speaking gigs, I have been reflecting a lot on how to level up what I do. I have been talking about analytics, data science and lately artificial intelligence all across the United States and the Philippines.

I’ve trained over 8,000 analysts, given over 200 talks and worked on over 50 big data projects the past several years. In that time I have learned a lot about how I deliver content and empower my audience.

I have heard at least 500 talk from other speakers and watched 100’s of video talks. So when I reflect on my speaking, I take all this in. I came up with these tips:

· Design each talk so that it mirrors what one would get from the 1st hour of coaching.

· As a speaker, you have about seven seconds to solidity first impressions, what do you do in your first 7 seconds?

· You need to be selective with your content. You can’t help everyone, so don’t try. Focus on giving content to those who are ready to make sense of it.

· I get paid for access to my brain. Think of coaching and training with an expert that way. How valuable is to have insight into the mind of an expert.

· What is your post interaction accountability? How are attendees held accountable to stick to their initial acknowledgement that this is an area where they need help?

· Meet with 2 people a day, follow up with each one personally. This is so much harder than it seems. Automate it, outsource it, do what it takes to keep it going.

· Develop a physical product you can giveaway that take people back to your story and ties them to an emotional experience. Something to do with being a self-taught data guy.

· Prior to the event, develop a purpose driven message. Create 2–3 talking points and a call to action (attend). Use both storytelling and story selling.

When I talk, it is always a process of evolution. Taking these steps to enhance my talks will allow me to deliver even more value, not just as a speaker, but a consultant, trainer and coach as well.

Daniel Meyer heads Sonic Analytics, an analytics firm with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. With over 20 years in Big Data, Dan is one of the most sought-after public speakers in Asia and offers big data coaching and analytics training seminars on both sides of the Pacific. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in STEAM 2020 Conference.

Top 5 Reasons to Attend the Digital Transformation Summit 2017

From the Global Chamber® Manila Newsletter

May 9, 2017

  1. Be inspired by an all-star lineup of speakers, who are already gaining significant benefits from adapting new technologies
  2. Learn about various technological platforms such as AI, IOT, Big Data, Analytics, and how it’s disrupting businesses
  3. Reflect, reexamine your company’s issues and goals, and set your vision and new strategy for the next decade
  4. Engage and network with executives and fellow thought leaders
  5. Empower the culture of innovation within you!

Not registered yet? It’s not too late to sign up!

I will be one of the speakers, talking about Data Storytelling. It is quite an honor to part of this awesome event! 🙂

Attend one or both days of the Digital Transformation Summit this May 24 and 25 at SMX Aura Convention Center.

This I Why I Do What I Do…

This is why I do what I do…

Ron: Hi Mr. Dan Meyer, I have attended Data Science Philippines Meetup last February 22. And listened to your talk. I am a graduating student, and a former Data Scientist Intern. I want to be a Data Scientist, but Companies need an experienced person to be their data scientist. I just want to ask, what job should I take first to become a Data Scientist soon? Thank you for reading my message, hope you’ll answer me.

Dan: Data Analyst. IT Staff. Development Staff. Anything where you get to use data everyday. This will give you some hands on experience that you can use to more towards data science. Basically you need to get practical experience coding and managing data. Hope that helps. SQL is probably the most versatile language to learn, but any of the ones you see listed in a data science job posting will help.

Ron: Thank you for the response Mr. Dan Meyer, I’ll keep it in my mind, that really helps. I am hoping to be just like you soon.

Analytics Training – DMAIPH offers a wide range of analytics centric training solutions for professionals and students via public, in-house, on-site, and academic settings. We tailor each training event to meet the unique needs of the audience. If you need empowerment and skills enhancement to optimize the use of analytics in your organization, we are here to help. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.

Global Demand for Analytics and Data Science Talent

There are not enough analytics experts and data scientists to go around.

I say this a lot.

Just did a quick google search to put some recent data points and commentary to back up what I say.

The mass adoption of big data has seen companies across sectors scramble to hire enough data scientists to glean insights and drive decision making.

A decade ago, explaining data science to employers was challenging. Few people understood the value of a skill set that combines computer science, statistics, operations research, engineering, business insights and strategy and the impact it can have on a business.

But things have changed over the last five years. Not only has the term “data science” become commonplace, but data scientists have become highly sought after in the marketplace

According to a 2015 MIT Sloan Management Review, 40 percent of the companies surveyed were struggling to find and retain the data analytics talent. And the picture is starting to look even bleaker.

International Data Corporation (IDC) predicts a need by 2018 for 181,000 people with deep analytical skills, and a requirement five times that number for jobs with the need for data management and interpretation skills.

A report by McKinsey & Company is frequently referenced, stating that by 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.

Deloitte’s Analytics Trends 2016 report notes that while there is a rising number of university analytics and data science programs (more than 100 just in the U.S.), they nonetheless can’t crank out enough sufficiently trained people to meet demand.

Consequently, the report recommends that companies should:

  • Actively recruit on campuses with data analytics programs.
  • Develop internships and student projects both as a recruiting tool and to groom students for an efficient transition to the general business world and company culture.
  • Establish meaningful and rewarding career paths with an infrastructure in place most likely to interest and attract new talent.

In a recent blog post, Facebook listed a number of tips for students to prepare for such fields. Chief among them: “Take all the math you can possibly take,” including probability and statistics. (And while you’re at it, the company recommends, make sure you take some computer science, and try to squeeze in engineering, economics, philosophy of knowledge, and the latest brain research, too.)

One of the reasons I am so bullish about 2017, is that appetite for analytics and datas science is through the roof. Finally, everyone is starting to get serious about how to infuse their decision-making with more data.

DMAIPH specializes in empowering and enabling leaders, managers, professionals and students with a mastery of analytics fundamentals. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out what we can do to help you acquire the analytics mastery you and your organization need to be successful in today’s data-driven global marketplace.

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Sources

http://www.business.com/recruiting/big-data-big-problem-coping-with-shortage-of-talent-in-data-analysis/

https://techcrunch.com/2015/12/31/how-to-stem-the-global-shortage-of-data-scientists/

https://content.pivotal.io/blog/mckinsey-report-highlights-the-impending-data-scientist-shortage

http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation

https://code.facebook.com/posts/384869298519962/artificial-intelligence-revealed/