Tag: Dan Meyer

Q1: To start can you provide us with a basic overview of what is analytics?

Analytics is simply about looking for patterns in data to help answer questions. Most people use analytics within a business to help ensure more data-driven decision making. Businesses that use analytics are generally much more efficient and much more profitable then ones that don’t.

Analytics is generally employed by analysts who are skilled in using certain technologies and methodologies to identify, inventory and integrate large amounts of data quickly. What separates analytics from statistics and data science is generally the speed of the analysis and the focus on solving business problems.

The most common form of analytics is general business analytics that are used by senior leaders and decision-makers to investigate problems, validate assumptions and to guide strategic planning.  Business analysts are therefore the most common type of analyst. However, analytics can be used in an almost limitless number of business functions in specific areas like HR, recruitment, marketing, finance, and so on.

Analysts have been around a long time, but recent technological advances have both allowed us to produce and capture more data as well as give us the ability to analyze immense data sets quickly. Thus we are amidst a huge boom in the applications of analytics and the need for analytics talent across the globe.

Analytics is something just about every business leader is trying to figure out how to use more effectively in their business. As a result, there is a huge shortage of people who are skilled in working with data to answer questions and solve problems. This why you have seen the number of analyst job postings increasing at an amazing rate.

If you are not actively trying to surround yourself with analysts and if you are not infusing an analytics centric culture in your business, you will most likely soon see your business fail.

The Fundamental of Business Analytics – Business Analytics is the application of talent, technology and technique on business data for the purpose of extrating inights and discovering opportuniites. DMAIPH specializes in empowering organizations, schools,  and busiensses with a mastery of the fundamentals of business analytics.  Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out how you can strengthen your business analytics fundamentals.

DMAIPH and Sonic Analytics is looking for a Marketing Analyst/Administrative Assistant

http://www.sonicanalytics.com/

Sonic Analytics is an analytics-centric consulting, outsourcing and training company with teams in the United States and the Philippines. We specialize in corporate analytics consulting, public analytics training and small and medium business analytics outsourcing. We maintain an office in Ortigas, Pasig City.

We are seeking an Administrative Assistant, which is a full-time entry-level business operations position. The position is predominately office based, working out of our Oritgas location. We are looking for a flexible, hard-working and analytics minded individual to take on the following tasks:

  • Prepare Monthly Ledger
  • Meet with book keeper for tax reporting once a month
  • Safe keep Permits, Government Certificates, Receipts and other business documents if needed
  • Update expense and income trackers
  • Act as a POC for any analytics seminar/service related inquiries
  • Provide guidance to interns/OJT
  • Help develop an effective marketing campaign
  • Attend events on behalf of Sonic Analytics
  • Assist with setting-up public and in-house seminars
  • Assist with Payroll

Successful candidates need to meet the following requirements:

  • Previous work experience working in an office environment and/or customer service.
  • Familiar with MS Office, particularly MS Excel.
  • Basic understanding of business analytics and using data to solve problems.
  • Strong internet research skills and knowledge of social media.
  • Strong communication and organizational skills
  • Self-motivated and a willingness to learn
  • Above average written and conversational English.
  • A bank account with BPI or the ability to open a bank account

sonic_first_logo

Basic compensation: Base monthly salary is P12,000.

  • – Up to P2,500 in tax-free allowances.
  • – 5-10% performance bonus upon normalization.
  • – Complete 40 hours of work. This is a full-time job commitment.
  • – Regular Hours are 9:30am-6pm, Monday to Friday.
  • – Annual performance evaluation and compensation increases.
  • – Standard employee benefits as mandated by Philippine law.

Interested candidates should send their most recent resume to jen.ifer@sonicanalytics.com for consideration.

Analytics Jobs – Sonic Analytics in partnership with DMAIPH; hires, refers and connects Filipino analytics talent. The Philippines is at the center of the action when it comes to solutions to the global need for analytics. Working with DMAIPH to find work, hire analytics talent or set up analytics teams will ensure you are tapped into the best of the best when it comes to analytics in the Philippines. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out how to take advantage of this booming opportunity.

20 Questions with Dan Meyer about the Fundamentals of Analytics.

Recently I was asked to put together an FAQ about analytics. Based on my experiences from training people how to better use analytics, these 20 questions are the ones I most commonly get asked.

  1. To start can you provide us with a basic overview of what is analytics?
  2. Can you tell us what makes you an analytics guru?
  3. What are some of the current trends in analytics?
  4. Can you please describe the current state of analytics in the Philippines?
  5. What are some basic strategies an analyst can use to find the right data at the right time?
  6. Can you provide some tips on how to manage data?
  7. What exactly is data science and why the rapid rise of data scientists?
  8. Here something a lot of us are wondering, what exactly is big data and how can we use it?
  9. Can you please describe the concepts of storing data in a data ware house?
  10. Please talk about how, when and why we use should descriptive analytics?
  11. Can you next describe how to best use predictive analytics?
  12. Next please explain when and how we can use prescriptive analytics?
  13. A lot of us want to know what is business intelligence and how does it add value to analytics?
  14. What is data visualization and how does it help drive better decision-making?
  15. What is a business dashboard and how is it used in a business?
  16. Can you tell us more about current trends and hot new tools in social media analytics?
  17. Many of us work in recruitment or HR. What are some best practices and technologies used in HR and recruiting?
  18. Can you please talk about recent developments in higher education on how to train more analysts?
  19. How would you describe your approach to teaching analytics?
  20. So in conclusion can you explain a little more about your own method for using data to drive better decision making?

Each day for the next several days, I will take each question and elaborate and share with you my own personal FAQ on the Fundamentals of Analytics.

coverpicture1

The Fundamentals of Business Analytics – Business Analytics is the application of talent, technology and technique on business data for the purpose of extrating inights and discovering opportuniites. DMAIPH specializes in empowering organizations, schools,  and busiensses with a mastery of the fundamentals of business analytics.  Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out how you can strengthen your business analytics fundamentals.

 

How to Build Your Business Strategy

Business strategy is something that comes naturally to me. I’m good at anticipating challenges, at doing research to assess the risk and reward to multiple options and I love to use data to validate or refute initial findings.

Though easy for me, I have found that being successful with business strategy is not as natural for most business owners, senior managers and decision-makers.

IMG_1849

When I set up my first company, it was based on a year of research and lots of networking. When I launched my second business it was based not just on research and networking, but learning from the mistakes made the first time with financial planning and partner relationships. Now on my third business, having taken the best of everything that worked before and finding ways to mitigate the things that went wrong before.

Now, for most business leaders you can’t just hit the rest button every few years, but you should hit the reset button on your initial strategy. Adapt to changes in the market. Glean new insights on cutting edge technology. Stay on top of industry trends.

That’s the first key to business strategy. Understanding that it is a continual process that evolves. Many businesses fail because they don’t change with the times or because leaders just stick with what has always worked. That’s dinosaur thinking.

Any good business strategy has to adopt a continuous process improvement policy, using something Six Sigma or Lean to keep things form getting stale.

A good business strategy also seeks out new technologies that can disrupt both their business and their business marketplace. What was cutting edge and trendy six months ago most likely be as effective six months from now. Good Business intelligence tools that can do cool data visualizations and build business dashboards help us stay ahead of the game. I show a lot of people how to do this using Tableau Public, which is free and easy to learn.

The next key to business strategy is integrating customer insights into everything you do. If you don’t listen to your customers, if you can’t predict what they need, and if you have a strategy that puts profit before customer experience you will probably fail.

It amazes me when I see bad customer service, products that no longer meet customer needs being produced and unimaginative marketing campaigns. In this day and age, with access to our customers at unprecedented levels, there is no excuse for failing to get it right the first time.  We do a lot of surveying and engage using social media to stay connected.

The third key I include in my business strategy planning and consulting is understanding the competitive landscape. Knowing where we stack up in the marketplace, what are our strengths and weaknesses, what is hot and what is not… you need to put as much focus on what is happening outside the business as you need to know what’s happening inside.

Almost everyone I talk with about their competitors share with me one common feeling… I don’t really know what my competitors are doing. In fact a high percentage even struggle to identify who their key competitors are. We are active in industry organizations, online social media groups and attend competitors events to stay up to date.

Business strategy is a lot more than just business intelligence, customer insights, and competitive landscapes, but it is a good start. If you are able to add these to financial models and demographic data, you will have a well-rounded business strategy. And then its just a matter of keeping it fresh, resetting it every so often to make sure you don’t become a dinosaur.

Let me know if I can help. In the past few years I have helped companies of all shapes and sizes refine their business strategy using my keys to success.

Business Strategy with Analytics – Aligning a business strategy to drive an organization forward requires a robust analytics solution. Businesses who have good analytics tend to be much more profitable and efficient then ones that do not. DMAIPH has helped dozens of companies in both the U.S. and the Philippines with adding more data analysis in their business strategy. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out what we can do to help you align your business strategy with analytics.

The Best Bunch of Analytics Interns Ever

2011 – Year Zero – The Best Bunch of Analytics Interns Ever

So this is simply the story behind one of the coolest things I have ever done.

Earlier in 2011, before I set up BPO Elite, I was chatting with a friend who was attending a local community college. She was trying to find a speaker for a business club she was an officer in. I offered to come in and talk about remittances. It was a lot of fun. After the talk and lots of Q+A, one of the students approached me and asked if we had internships.

Hadn’t really thought of that before, but it made a lot of sense. I had worked with several interns while with Wells, and generally introduced them to how we did analytics. So it was a natural progression.

So I took on the intern and before I knew it I had 5 of his classmates on board as well. As I was putting the business plan for BPO Elite together I came up with a list of things we needed to understand the competitive landscape around the new business.

I divided them up into 3 types of analytics interns based on their interests; business analyst, marketing analyst and data analyst. I gave each one a research topic, gave them in a crash course in Tableau and turned them loose on doing some public data mining and analytics for BPO Elite.

About the same time we got our first two clients. A small shipping company that specialized in shipping things to the Philippines and a local chiropractor. Both business owners were at a point where they needed help understanding some of the reasons why there businesses were not a successful as they thought they should be. They knew they needed help, but didn’t know where to turn . Fortunately I had the answer… they need to bring some analytics into their businesses.

x2.1

 

So before we go one, let’s level set on what exactly analytics is. In its simplest form it is a the discovery of patterns in data with an eye towards using these discoveries to help a business be successful. If you ask any 10 professionals who work with analytics you will get 10 different answers. It’s a broad topic with just about every business using analytics differently than the next one. And most small businesses don’t even use analytics. Its more in the realm of the corporate world.

So after explaining to my clients what I could do to help them using analytics and getting a good idea of their challenges, I came up with some plans and turned my interns loose.

We did some good in both cases. Mainly focusing on building demographic profiles of their ideal customers and mapping where they lived, we came up with some targeted marketing materials. We used US Cenus data, Google and Tableau to demonstrate the opportunity around them.

We also spent some time building a competitive landscape for each buseiness as well so the clients could see where they stacked up against them. And finally we added some customer insights, mining data from their social media sites and places like Yelp. All in all, we gave each business owner a sample of the things I used to do at Wells. In both cases it was a big help.

And the best part, the kids learned tons of things they wouldn’t likely have learned in a traditional corporate internship. They got their hands dirty with data and they made a difference in the success of a business.

Today, they are all employed in good jobs, mostly working in position with analyst in the title.

Pretty awesome stuff.

My Analytics Story – 2011 – Year Zero – Past as Prologue

This is the first in a series of blog posts to I have planned to share My Analytics Story – Teaching Analytics in the Philippines.

I first got the idea to do analytics training and outsourcing in the Philippines in early 2011.

A little historical perspective first. For most of its history Wells Fargo was not very big into outsourcing, but was very big into analytics. I had been working as a senior analytics consultant with the bank for several years and doing some pretty amazing things with data blending and data visualization for our management team.

Then Wells Fargo acquired Wachoiva and all of a sudden my team was given the challenge to help set up some new positions in the Philippines. Wachovia had a long and successful history with doing back office operations in Manila.

For those not familiar with Wells Fargo and/or Wachovia:

The first team to be set up across the Pacific was a back office, new account fulfillment team. A fairly routine series of tasks, easy to capture and validate data. My role was to provide benchmark data and then management reporting as the transition progressed. While doing this I was paired up with several business partners in Manila. And quickly I discovered that their analytics tools were not very advance and they really didn’t use much predictive analytics.

The light bulb turned on.

I could do this. I could go to the Philippines and get involved with training people to do more analytics, to bring more data-driven decision making to the outsourcing industry!

Given I was married to a Filipina, most of my friends are Filipino-American and I grew up in a city with one of the largest Filipino communities in California, this was a perfect chance to grow my affinity for the Philippines.

And of course I could get back to doing more teaching in the form of training people to use analytics. I had been thinking about getting back to teaching for a while, but the bottom line is Wells just paid better. Plus, I really love working with data. So then next light bulb went off.

I can take what I am good at analytics, and merge it with my passion, teaching and get into the business of training analytics.

As this plan was starting to evolve in my mind, things at work where also coming to a head. I had been trying for a while to find a new job that would get me closer to being involved in both analytics and outsourcing equally with no luck. Lots of interviews within the bank, but nothing came to fruition. Which in hind sight was a total blessing in disguise.

One day I was chatting with a good friend about my growing frustration of not being able to find the right job at Wells and he said, well why don’t you set up your own business then? Light bulb number 3.

But then how? He suggested we talk with a friend of his who was ironically enough looking to set up his own call center in the Philippines. We had several meetings and decided the three of us would set up a new business both in the U.S. to find clients and in the Philippines to train talent to do work for the clients. I came up with the name BPO Elite and the tag line, making data-driven decisions.

And then we got around to talking about who would run the company. And they both immediately said it would have to be me. Up to this point, never in my life had I contemplated such a thing.

Me being the boss.

The final light bulb burned bright. Now it would just a matter of planning the launch of the new business.

31.png

This was around June 2011. We set up BPO Elite legally, built the web site, started doing some marketing.

One thing I needed to validate though was can I actually train people to do the analytics we would be offering as a service. I needed to do a pilot here in the U.S. before moving to the Philippines. I had always thought college students/fresh graduates would be the best ones to hire to work in our business. They are open minded and highly energetic and I could fill their minds with the technologies and methodologies I had used at Wells to be a great analyst.

So thanks I brought on a team of interns over the summer of 2011 with the idea of teaching them analytics and turning them loose on some local small business clients to see if we can drive some results that would be turned into a training model.

It was a huge success. Great pupils. Happy Clients. Lots of Data. More on the how I did it later. For the sake of the narrative, it worked. So it was time to leave Wells Fargo and set in motion the plan to move across the Pacific.

And one more key point I will get to later, one of my parners had a connection at one of the top schools in Manila. So lets not just train fresh grads to do analysts, I should also tie up with the school to teach a class on analytics. More access to talent and a good way to build our brand credibility.

The moral of the story… the reason behind my posts… dream a dream, validate it with data, take calculated risks to seize opportunities and then just persevere.

More to come.

The Philippines An Emerging Center For Analytics

There has been a lot discussion the past several months about the relative pros and cons of outsourcing analytics. The biggest perceived con are that an outsourced analyst might not have the necessary business knowledge to pose the right questions or to clearly identify threats and opportunities.

However, the reality is that with the global analytics talent gap expanding at a rapid pace, many business have no choice but to explore outsourcing options for some if not most of their analytics.

Having worked with several businesses who have successfully outsourced analytics projects and even whole teams to the Philippines, I can say that the pros far outweigh the cons. Here are a few of the pros that I can testify to:

1. Speed and Focus. Once optimized, detached team can often get more done and get it done faster as they are able to mono task.

2. Fresh Set of Eyes. Given enough time to get up to speed on things, an “outsider” to the business often can see the forest through the trees.

3. Scalability. The savings based on things like having a team that can be quickly grown or shrunk based on business need and access to labor pools with a lower cost ratio can often make a big difference when it comes to covering all the bases.

10406025_10152524531307425_1404103117_n

There are countless other reasons why business in the U.S. are increasing looking across the Pacific for analytics talent including an American style of English, an affinity for the American business practices and a firm commitment from higher education to produce analysts.

In fact, the number of academic courses and corporate training programs offering business analytics is growing rapidly here in the Philippines.

As key players in the BPO industry here in the Philippines look to meet many of the analytics needs of companies abroad, the pros will continue to outweigh the cons.

And that is exactly why I founded DMAI.

Perhaps The Most Awesome Thanks For Saying Thanks Ever?

So I filled out (not up) a survey I got via e-mail from PAL.

My recent flight from Manila was pretty uneventful except that for breakfast by the time the flight attendant pushed the cart to my row, they were out of corned beef. I was already dreaming of the In-N-Out Double Double awaiting me, so it was no big deal.

I told the flight attendant that its ok, I’ll pass on the fish and just wait a few hours until landing. But she went and found me an extra corned beef anyway. Nothing special, but she didnt have to do that and she did. Pamela went above and beyond and it stuck in my mind well enough, that when I got the email survey from PAL. I made note of it.

And then I got back perhaps the nicest, warmest, most sincere thanks for filling out the survey I think I have ever seen. It might be a canned message, but is sure seems like it comes from a genuine need to keep the customer happy.

I wish more companies valued their customers the way PAL just made me feel valued.

10592010_10152674958362425_1982237172_n

“Dear Mr. Meyer,

Thank you for sharing your recent experience with us.

We would like to express our utmost gratitude for your appreciation of our service. Surely, you will agree that for us, it may just all be a part of the day’s work, but the good impression you have elicited from this experience will definitely last for more than just a day. Your kind words serve as an inspiration for us to consistently provide you, our guest, with excellent service.

Mr. Meyer, we wish to reiterate our heartfelt gratitude to you for your valued support and patronage of Philippine Airlines. We remain committed to provide only the best in passenger care and it is our fervent hope to be of service to you again, onboard our flights, soon.

Sincerely,

Customer Relations Office

Philippine Airlines”

It made my day.

All The Tools And All of The Talent but none of the Technique… Where Good Analytics Intentions Go Bad

I have seen so many examples of this. A majority of companies throw money at analytics in the form of buying new technology, but don’t spend a fraction as much on the people who need to make the technology work.

A good analyst using Excel is much more powerful then a mediocre analyst using a cutting edge BI tool. Without the innate curiosity, knowledge of the business and ability to communicate discoveries that come with a good analyst, your analytics plans will fall short no matter what the sales reps from the analytics companies promise you.

Now we have the 2016 Presidential Election results to analyze. Most predictive models had Clinton winning. Most of the polls had Clinton winning.

So where did the analytics go wrong? Well, its definitely not the technology. And I don’t think it was the talent.

In the coming days, I am pretty sure we will find it was the technique.

It was not getting deep enough data.

It was looking at the data and seeing what you expected to see.

Curiosity was lost.

Finding new perspectives to make sure we have the right data next time.

Hillary Clinton’s campaign will be a case study in where good analytics where not good enough.

Analytics Culture – The key to using analytics in a business is like a secret sauce. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization. A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.

 

Probing For Curiosity

Finding a good assessment to measure curiosity is something I am always looking for. Lots of ways to try and find it, but a true penchent towards curiosity can still be elusive during the hiring process.

Lot’s of probing questions like, asking candidates to explain how they solve problems and what they do when they come across something unexpected is a good start.

Taking personality tests like the MBTI and its ilk is another way.

Giving them a quick research assignment with fairly vague directions and open ended results can also help too.

Reading for fun is also another good indicator.

IMG_1310

Whatever it is you do, make sure its something you are probing for.

Of all the data points in HR & Recruitment Analytics, that is the one I care most about.

HR & Recruitment Analytics – The recruitment and retention of top talent is the biggest challenge facing just about every organization. DMAIPH is a leading expert in empowering HR & Recruitment teams with analytics techniques to optimize their talent acquisition and management processes. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to learn how to get more analytics in your HR & Recruitment process so you can rise to the top in the ever quickening demand for top talent.