Being A Great Analyst > Key Attribute #1 > Know A Lot

Often you here people in business talk about how it’s more important to be either a master at one thing or a jack of all trades. When it comes to being a great analyst, you see many who are great because they have mastered their subject or a certain analytics tool. On the flip side you see many great analysts who seem to know a lot about a lot and are proficient across multiple subjects and/or can use many analytics tools. So which is better?

From both my experience and my personal perspective, analysts who know a lot about a lot are rarer and more valuable to a business. Based on both an accumulation of knowledge and the ability to work in various environments, analysts who are considered to jack of all trades kinds are in general great analysts.

IMG_6912 However, I have also found that most business actually find more value in master of certain type of analysis work or someone who is great at using a certain tool. Specialization is something that is on the surface very impressive as it shows discipline and competency in a certain subject. They know a lot about their area of expertise and are recognized as such.

Occasionally you can even come across analyst who are both knowledgeable about a lot and even more knowledgeable about a specific subject matter. Now that is a rare breed.

So, no matter what type of analyst you are or want to be, the bottom line is you need to constantly read and connect and expand your knowledge… you need to know a lot if you want to be great!

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.

The Mission of the DMAI Family of Companies: Creating More Analysts

I just wanted to share this blog post from the World Bank as it addresses exactly what we at DMAIPH have been saying and are trying to address; the need for more high end skills training in the Philippines.

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8 of 12 from this training batch found jobs with BPO companies within a couple weeks of completing the two day Introduction to Analytics training!

http://blogs.worldbank.org/eastasiapacific/node/3096
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The Philippines faces an enormous jobs challenge. Good jobs—meaning jobs that raise real wages or bring people out of poverty—needed to be provided to 3 million unemployed and 7 million underemployed Filipinos—that is those who do not get enough pay and are looking for more work—as of 2012.

In addition, good jobs need to be provided to around 1.15 million Filipinos who will enter the labor force every year from 2013 to 2016. That is a total of 14.6 million jobs that need to be created through 2016.

Did you know that every year in the last decade, only 1 out of every 4 new jobseeker gets a good job? Of the 500,000 college graduates every year, roughly half or only 240,000 are absorbed in the formal sector such as business process outsourcing (BPO) industry (52,000), manufacturing (20,000), and other industries such as finance and real estate.

Around 200,000 new job seekers find work abroad, and around 60,000 will join the ranks of the unemployed, go back to school, or rely on financial support from family for the time being.

This still leaves 600,000 new jobseekers who have no choice but to work in the low-skill and low-pay informal sector in rural and urban areas.

Higher growth can provide more Filipino workers with good jobs. With sustained GDP growth of 7 percent per year and the removal of constraints in fast growing sectors (e.g., addressing skills shortages so that the BPO industry can accelerate its annual growth from 20 to 30 percent), the formal sector will be able to provide good jobs to around 2 million people in the next 4 years – that is double the current figure.

Even so, the majority of Filipino workers will still be left out. By 2016, around 12.4 million Filipinos would still be unemployed, underemployed, or would have to work or create work for themselves in the low pay informal sector such as selling goods in sari-sari stores (small retail stores) and peddling on the streets, and driving tricycles and pedicabs.

Addressing this jobs challenge requires meeting a dual challenge: expanding formal sector employment even faster, while rapidly raising the incomes of those informally employed.

To create good jobs for the 12.4 million, a comprehensive package of reform is needed to create a business environment that is conducive for the private sector to create jobs and increase human capital. Reforms that will secure property rights, open the economy to more competition, simplify business regulations, and increase investments in health, education, and infrastructure are needed.

But will the private sector have the incentive to invest and create jobs for the 12.4 million Filipinos who are left out of the fast growing formal sector?

What do you think is key to creating more and better jobs in the country? Creating jobs for millions is a daunting task, but perhaps we can agree to start somewhere.

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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. 

Recruitment Analytics… where both demand and need is greatest

Who’s left? > Reblog from one of my blogging heroes, Seth Godin.
http://sethgodin.typepad.com/seths_blog/2013/11/whos-left.html

This is EXACTLY why I have been able to run several successful recruitment analytics seminars in the past year. So many HR and Recruitment teams still approach sourcing talent like this…

“The classified section of the Sunday New York Times used to be more than twenty or thirty pages long. Now it’s down to one.

Part of this is due to the lack of new jobs in the post-industrial economy, but mostly it’s due to job listings moving online. I was fascinated to see some of the jobs in last week’s paper, and confess befuddlement at the thinking of those that ran them.

Here’s one, from Amazon, for a level II programmer in their New York office. Just a mailing address, no online method for contacting or applying. They’re using the newspaper to search for programmers unable to apply online, perhaps the best place to find this sort of programmer, but really, do they want them?

Or the ad from Paul, Weiss, a prestigious big law firm in New York. It’s the biggest ad on the page, and goes into a long, long list of requirements for the job–Magna Cum Laude from a famous law school, more than three years with one of their competitors, etc. Which high-powered New York lawyers are reading the last single page of newspaper classifieds?

And my favorite, an equally long ad for Deloitte that instructs the applicant to go to a website and enter a 15-digit code, including several “1”s, some “I”s and a bunch of letters and numbers. Almost unreadable in the paper, and hard to transcribe. More than a billion combinations… why not just enter NYT1124?

Lots of time and money being spent chasing the wrong people with the wrong ads.

My point, and I do have one, is that if your HR department is run by policies that were established a decade ago, worth a new look. And if you are serious, truly serious, that talent is your competitive advantage, please understand that the way you look for and sort that talent is the highest-leverage way you’ve got to increase what you end up with.”

HR & Recruitment Analytics – The recruitment and retention of top talent is the biggest challenge facing just about every organization. You really have to Think Through The Box to come up with winning solutions to effectively attract, retain and manage talent in the Philippines today.

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.

Analytics and Process Improvement

Had an interesting text conversation yesterday that I thought worth sharing as it brings up a good question… can you have process improvement without analytics?

I got a text randomly yesterday from a friend who is considering a new job as an analyst for a hospital.

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Friend: Hi Dan, I got a question on analytics. If I wanted to increase the utilization of rooms in a hospital, what kind of data should I be looking at?

Me: Do you want a well thought out plan or a quick and dirty answer?

Friend: I suppose quick and dirty.

Me: Length of patient stay. % of special needs patients. Physical dimensions of space to see if space is optimized. Understanding of patient process flow to see where wasted time is. Then put it all together to come up with some current metrics and then track against optimal case metrics.

Friend: What exactly do I need to be looking for if I go look at length of stay? What are optimal case metrics?

Me: To optimize usage, you need to gather data for key metrics as they currently are. And then project the same metrics is everything was working at its most efficient state. Length of stay is a key metric as you need to determine what is causing longer than expected patient stays. This will help you minimalism things causing wasted time. Analytics will identify waste and then you use metrics reporting to manage the waste. Make sense? This sounds like as much a process improvement project as it does analyst work doing some new metrics reporting. It could be a very interesting project with both short-term consulting on the process improvement and long-term need for an analyst to monitor the data via metrics reporting.

Friend: Yeah, you are making lots of sense. So, if I were trying to shorten length of stay, I would look at current length of stay per case. Then look for all the factors impacting length of stay, and then improve the process flow for the ones where its taking too long.

Dan: Something like this is how I would start.

Based on my experience, when you are presented with a business problem and asked to help solve it. It’s almost always an issue of a process that is inefficient or wasteful that is the root cause, but you need plenty of data to identify that. A good analyst is just as much a process improvement guru as they are a reporting expert.

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Analytics Consulting – As a founding member of Gloabl Chamber Manila, DMAIPH specializes in a variety of analytics consulting solutions designed to empower analysts, managers and leaders with the tools needed for more data-driven decision-making.

We have helped dozens of companies in both the U.S. and the Philippines, get more analytics in their business.

Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can tailor an analytics solution made just for your unique requirements.

How I Use Logic As An Analyst

Here is a follow up to the student I am helping with her class assignment on Logic… She asked me how I apply logic as an analyst with an example and here is what I came up with.

How I Use Logic As An Analyst

According to Webster’s Dictionary, logic is “the science or art of exact reasoning” and analyst is “someone who is skilled at analyzing data”. The two definitions are where I start when how I think back to the application of logic during my career as an analyst.

To solve business problems you need data. You need to identify the right data, analyze it and communicate your results. In all three aspects of analysis work you need to employ logic.

Basil Rathbone as Sherlock Holmes
Basil Rathbone as Sherlock Holmes

When you are given a business problem to solve, say how to determine a market for a new project or trying to figure the cause behind a slowdown in production, you need to start with data. What data you get, how you get it and where you get it from is all driven by a combination of your business experience and logic.

Logic helps you eliminate data that useful to the problem at hand. One time when I was looking for data on current remittance flows to China, a logic driven approach would be to start looking at Chinese economic websites. Which I did using the science of logic.

Once I got some data sources on remittances from the US to China, I then used logic in my analysis. Is the data current? Is the source reliable? Is it relevant? Logic dictated that I not use sources that were more than a year old, where not from government sources and where directly providing data on remittances to China.

In my analysis I saw several patterns, most remittances where going to only two provinces. That is logical when you research to see that most immigrants to the US come from these two provinces.

And when I was ready to communicate my results, my choice on which application to use, what tone to use in my language and what visuals to use were all driven by my knowledge of the audience.

Since this was for a senior manager, well-versed in remittance patterns and very comfortable with big data speak, I just cut and past some charts from Excel into an e-mail and gave him 2-3 bullet points about the patterns I saw and noted my source. It was logical that he didn’t need a lot of explanation or easy to see analysis given his pedigree.

If this had been for a more general audience of say fresh grads who have never looked at this kind of data before, it would be logical to use PowerPoint, supply several descriptive notations and some easy to digest visuals that show remittance trends.

Trying to provide students with a report designed for senior managers is illogical for someone like myself with a lot of business analysis experience.

In the end, it is my opinion that few career paths call for a more consistent application of logic then does that of an analyst.

Analytics Leadership – DMAIPH specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture. We have guided thousands of Filipino professionals to become better analytics leaders. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.

Analytics > Based on the Principles of Logic

One of my trainees recently asked me for some help with an assignment she had in her philosophy class. Now I am such a Star Trek fan aka Trekie, that of course the first thing that comes to mind in the character Spock.

I imagine that is anyone ever took a formal survey of analysts and analytics professionals, most would list Spock high on their list of “cool characters.” The use of logic to solve problems is a key plot point in several episodes and movies. Anyway, I digress…

The assignment is to look at the paperwork in a business and determine how logic and logical principles are applied. I look at logic as being used primarily in two different facets of paperwork.

1. to set priorities… using deductive reasoning to decide what priority is more important and which one to work on first. This is something that is hard to teach and a common interview question. Trying to determine if a person knows how to establish priorities tells you a lot about how logical they think.

2. to establish procedures… logic is used to set up a process like an assembly line or a pipeline where things are done in a routine that is most logical. Being efficient and optimizing a process require a lot of logic in the design and implantation of the process.

So for paperwork… the paperwork that gets done first is the highest priority like payroll… logic dictates that paying employees is the most important and logic helps you set up a process for paperwork… like if a form needs three signatures, you would use logic to set the order of whose signature you get first, second and third

When you have a problem with a process or too many priorities to accomplish all, you use logic to help you solve the problem.

Analytics, or the discipline of using data to drive decision-making in a business, is closely related. Logic is used to identify the data you need, logic is required to interpret the analysis and logic is needed to determine how bet to communicate your findings.

When you look at any business (or government, organization, structure, etc.), you need to employ logic to make that business run and paperwork is a big, big part of the resulting of using logic. Forms, reports, summaries, etc… they are all receptacles of logic that are used to keep things moving.

So when asked why I do what I do when it comes to the paperwork in my business, I am going to tell you because its logical to do it that way. Or as Spock might say, “Logic dictates how and why we use paperwork.”

General Analytics – Analytics is the application of using data and analysis to discover patterns in 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.

13 Months in the Philippines – Lesson 13 – May 2013 – Exit Plans

Lipa City, Batangas, Philippines

At the end of April, I set a line in the sand. If we couldn’t line up enough co-marketed trainings and consulting gigs by the middle of the month, I would pull up stakes and head back to the US for a while. As the days went on we had several set backs as a key marketing partner decided to cancel the four training dates we had set up in May and a couple of potential consulting clients decided to wait on our training. In looking at expenses as well as several pressing personal issues it became pretty clear by the middle of the month that it was time for another change.

In looking at the amount of money we would need to keep things going versus the short-term revenue options the analytics suggested taking a pause and trying again once we have more capital. A lot of companies use data and analysis to look at where they’ve been, but not as many use analytics to help predict behavior. I think any solid predictive analytics exercise would suggest that there is a lot of money to still be made doing what we started. The market is there. The need is there. The raw talent is there. It’s just a matter of a better plan with more dedicated partners.

At about the same time, my partners also decided to officially disband BPO Elite. It has kind of just hung our there as an empty shell since October. I occasionally used the name and identity for people who new me as the man behind BPO Elite before I launched DMAI. It was a pretty sobering day to say the least when two years of work came to an end. However, it severed its purpose. It opened up doors, it allowed me to have the time of my life and it helped a lot of trainees achieve their dreams of finding jobs.

So after 13 months, I got on a plane and headed back to the United States a man who will never have to say he didn’t go all in for the sake of chasing his dream.

Little did I know, the labor and hard work of these past 13 months laid a foundation that would soon led to some amazing opportunities to come back and try it all again.

Analytics Tool > Business Intelligence Applications > http://www.gatner.com

Analytics Concept > Predictive Analytics > http://en.wikipedia.org/wiki/Predictive_analytics

YouTube Resource > http://www.youtube.com/watch?v=BjznLJcgSFI&feature=share&list=PL8D46F50D27222FD4

My Analytics Story – My passion is solving problems by bringing together the best talent, cutting edge technology and tried and true methodologies. DMAIPH is all about empowering people towards better Decision-Making through the use Analytics and business Intelligence. This is what I do best. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly for a free consultation about getting more analytics into your career and your business.

13 Months in the Philippines – Lesson 12 – April 2013 – The Wheels Come Off

Picture1Quezon City, Metro Manila, Philippines

April 2012, was a tough month. The challenge with filling training classes continued. We had three staff members depart for other opportunities. I ended a six-month engagement with my top client. It was time to switch gears again. We needed to pivot towards doing more outsourcing and consulting and less training.

One good things to come out of April, was the Social Media Analytics Workshop we held for a group of trainees for one of our clients. We discovered some pretty good talent and were able to put together a good team of analysts with a large range of analytics skills and social media savvy. There are a plethora of social media analytics tools built-in to just about every significant social media site. We also learned that the Philippines is the most social media driven country in the world. There is a higher percentage of Filipinos are online and actively using social media that with any other country.

I also continued to blog almost daily as I had learned from a good friend, is the key to monetizing your online business. You need fresh content that is relevant and engaging. You have that and you feed it to your audience on a regular basis, you can then start making a profit off it. Blogging about analytics is a key tool for analysts that’s often overlooked. Most analysts stay embedded in their silo. They focus on the data at hand and they master how to identify, inventory and integrate it. They accumulate a wealth of experience and knowledge and many are blogging about it.

However, in this case it was too little too late. Due to a series of personal and professional challenges it was time to think about what to do if revenue didn’t pick up quickly.

Analytics Tool > Analytics Blog > http://www.wordpress.com

Analytics Concept > Social Media Analytics > http://en.wikipedia.org/wiki/Social_analytics

YouTube Video > http://www.youtube.com/watch?v=JQYOmQRhzhM&feature=share&list=PL8D46F50D27222FD4

My Analytics Story – My passion is solving problems by bringing together the best talent, cutting edge technology and tried and true methodologies. DMAIPH is all about empowering people towards better Decision-Making through the use Analytics and business Intelligence. This is what I do best. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly for a free consultation about getting more analytics into your career and your business.

13 Months in the Philippines – Lesson 11 – March 2013 – Missed Opportunities

420Pasig City, Metro Manila, Philippines

March was lined up to be a very big month. We had 4 different training on the calendar as we continued to diversify our offering to get access to different types of clients and trainees. I continued to do media events and speaking engagements to push the brand. On paper the month should have led us to a very prosperous outcome and we would be well on our way to a healthy business model.

However, I underestimated a couple of things and overestimated our capabilities. This is exactly where so many small business efforts fail. Trying to do too much to soon. We did four different types of training; recruitment analytics, English for call center jobs, sales and marketing analytics and analytics for business leaders. If everything would have filled up I would have made over 100,000 PHP. But in the end I lost money on all four after costs of staff and venue were factored in. It’s the last time I did trainings without the help of a dedicated marketing partner.

I also overestimated my staff. One of my biggest weaknesses as a leader is that I tend to over trust and over challenge. I tend to treat employees as I wanted to be treated myself, but I forget they do not have the same level of experience and depth of passion I have. It sets them up for failure. And we failed miserably in our marketing, our recruiting, the quality of our product and our execution of strategy. I just got too excited and lost my discipline.

I also continued to do media events, but wasn’t capitalizing on them. Promoting myself is not easy. I can talk all day, but I forget the little things. Trinkets for the host, Shout outs to key business partners, mixing in a little Tagalog, staying on script. All valuable things that I can see now in hindsight I should have done better.

I really had uncovered a niche for training that I want to focus more on in the future. Recruitment Analytics training is something I am good at and something there is a dire need for in the Philippines.

Analytics Tool > Bullhorn > http://www.bullhorn.com

Analytics Concept > Recruitment Analytics > http://www.recruiter.com/recruitment-metrics.html

YouTube Resource > http://youtu.be/blx8IuHsmCA

Analytics in the Philippines – The Philippines is at the center of the action when it comes to solutions to the global need for analytics. Blessed with a solid foundation of young, educated and English speaking workforce, companies around the world are look for Filipino analytics talent to fill analytics positions. DMAIPH was set up to facilitate these solutions and bring the talent and the business together. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can help you take advantage of this unique global opportunity.

13 Months in the Philippines – Lesson 8 – December 2012 – Holidays in the Philippines

IMG_1114 Kalookan, Metro Manila, Philippines

As 2012 came to a close, things really started to slow down. I took full advantage of this to prepare of a big launch of DMAI in January. We didn’t go home for the holidays, and ended up just staying in Makati to enjoy Christmas and New Years. And boy was it memorable.

The Winter Holidays in the US start with Thanksgiving. That’s when the malls have huge sales and you start seeing Christmas lights and hearing Christmas music in the malls. However in the Philippines that starts in September. So, but December I was pretty fatigued from hearing and seeing the Christmas cheer and looking forward to finally seeing the day come and pass.

There were a couple of additional interesting lessons I learned. From the period between Christmas and just after New Years, all movies show in Manila are Filipino made films. No Hollywood blockbusters or international films. It’s both good and bad, it allows Filipinos to relish in their own productions and guarantees viewing for films that might otherwise be missed. However, they are of course all in Tagalog. I went to one and got some of it, its was a romantic comedy so most of the jokes don’t need translation, but boy wouldn’t it be nice if they had subtitles.

The other one that really stands out is the fireworks. In the US we do fireworks in a big way on July 4th. There are also some on New Years or Veterans Day or Memorial in places, but fireworks really cant be enjoyed when its cold so for the most is just Independence Day. In the Philippines in Christmas Eve, Christmas, New Year’s Eve and New Years Day. Staying on the 10th floor of a corner condo in Makati I could see fireworks all around from Pasay to Manila to Makati. Big and Small. It was amazing. And after the smoke was so thick it was like fog. It was truly amazing.

From an analytics standpoint I took away a couple of things. Know your holidays. For example, if you are an American company doing business in the Philippines know the holidays so you can keep your people happy. The second is that someone needs to do some analysis on the lost revenue of just showing Filipino films. They still make good money, but it has to be tough on the cinemas to sacrifice profit for art over a two-week period where everyone is at the malls.

Analytics Tool > Enchantment > http://www.guykawasaki.com/enchantment/

Analytics Concept > Business Partnership > http://en.wikipedia.org/wiki/Business_partnership

YouTube Resource > http://youtu.be/f66naHGTsFU

My Analytics Story – My passion is solving problems by bringing together the best talent, cutting edge technology and tried and true methodologies. DMAIPH is all about empowering people towards better Decision-Making through the use Analytics and business Intelligence. This is what I do best. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly for a free consultation about getting more analytics into your career and your business.