Tag: Analytics Jobs

The Most Over Looked Metric In Recruiting

Which recruiting metric is most important to you?

This is something I am asked all the time and I generally go back to something I came across awhile ago. I have yet to find a better one…

“I am convinced that the most important metric and the only one I care to follow is; how long did the person I place stay with my client company? Are they still there, or did they leave? Were they promoted? Or were they Fired?”

Source: http://www.recruitingblogs.com/

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So, the metric we should be interested in improving is that of the success and tenure of our placements. How long do they stay? How well liked are they? How well do they fit in with the rest of the team? Do they get promoted? This is the true test of “Added Value” which is why companies hire recruiters.

I have hired over 150 people over the past few years and many of the best ones are still going strong, so we must be doing something right. 🙂

If you need help in your recruiting process, DMAIPH can help! My expertise with recruitment analytics makes me uniquely qualified to help you measure your most important requirement metrics.

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.

Analytics In Action: How DMAIPH Uses Data to Drive Decision-Making

Awhile back, I was a guest speaker for a business analytics class at the College of St. Benilde. I had been asked to talk about how DMAIPH uses analytics in our business.

When it comes to sizing up an analytics project, I tend to use a methodology I learned from a couple Stanford professors several years ago. It is pretty simple concept that is applicable across all kinds of projects; (1) identify the data you will need, (2) bring it in to your analysis tools, aka inventory it, (3) and then integrate it into a larger story or context.

I tend to use MS Excel for the majority of my analysis, but when I need to build a map, or prototype a business dashboard or need some high-powered visuals to present my data, I use Tableau Public. In the past I have used a wide range of analytics tools, but they are always specific to a certain type of data I needed to access.

One of my favorite infographics
One of my favorite infographics

I am going to show three examples of how we use analytics:

  •  How we built and maintain a competitive landscape looking at the current trends in analytics here in the Philippines. Who is using what, what they are doing and where the talent is coming from.
  • How we built and update a demographic profile based on resume and LinkedIn data for the various types of analyst jobs we are currently employing.
  • And, how we built a business dashboard using Google Drive for the management team to use when looking at who on the team to coach and what to coach them on. It’s a simple way to share KPIs.

In all three cases I will explain how we identified the data we needed, how we inventory it so we can look at historical trends as well as a current snapshot and how we integrate these analytics solutions into our business strategy. It should be a pretty good presentation followed by some great Q+A! 

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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.

Outsourcing Tip > Size the Opportunity! Not to be confused with Seizing the Opportunity.

When you have an opportunity to get involved with outsourcing, it always sounds like a good way to make some fast money.

The news has been abuzz for a while now with mounds of data and statistics about the high-speed growth in the outsourcing industry, especially here in the Philippines. Just yesterday I saw a projection that BPOs in the Philippines are expecting to see a 15% growth in revenues in 2014.

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You couple that with the fact that everyone here knows someone who is making good money as a call center agent or investing in real estate that will be used by call centers, or have a friend in the US who knows someone who wants to save money by outsourcing. It’s one of those everyone is doing it, so why can’t I kinds of things.

This is all good, but there are just as many failures as there are success stories when it comes to small and medium-sized BPOs. Ones where someone had a client, or a building, or an idea but didn’t size it right and misjudged on cost, or talent or market and had to close their doors and lost money.

So when you have an outsourcing opportunity in front of you, whether it be as provider or a client, make sure you size it right. Here are a few things to think about:

  1. Does the client already have an existing business that they want to outsource? If so, fully understand all the requirements of that job as it is currently performed.
  2. Can you find the talent in the Philippines to provide just as good if not a little better service as currently is being provided? A common mistake is thinking that cutting both cost and the level of service will be a win-win.
  3. How scalable is this project? How can both ends be managed in a way that allows for uninterrupted growth? Often things start easy when it’s a pilot, but once you get into production a host of issues can pop up to derail growth and ultimately the partnership.
  4. How stable is the client? Are they a startup that has a great idea and is underfunded? Those are plentiful. Or are they an established business with a strategic plan that includes the fortitude to successfully outsource a key piece of its business? These are hard to find.

That is just a few things that come to mind when I think about sizing the opportunity. Having set up 5 teams in the past year to provide outsourcing services, I have learned a lot about making sure I get the sizing done right. Keeping a client happy is all about under promising and then over delivering when it comes to time, talent and cost.

Analytics Outsourcing – DMAIPH has successful set up Filipino analytics teams for over a dozen U.S. based businesses. Offering both virtual and office based teams that specialize in problem solving using data, new technology and analytics techniques is our strength. Finding and empowering analytics talent is increasingly challenging, but we have it down to a science. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to learn more about how to set up an analytics-centric team in the Philippines.

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.

The Current Analytics Talent Landscape in the Philippines – Updated

Updated on 10/26/16

Something I was working on for a potential client, that I thought interesting enough to share.

Here are some of the common characteristics of the three types of analytics talent you will find in the Philippines. Keep in mind that analytics is still a fairly very new concept in the Philippines, but I am convinced its primed for continued growth.

From my experience the analytics talent in the Philippines can be broken into three groups.

  1. Fresh Grads
  2. Entry Level Analysts
  3. Experienced Analysts

For the sake of comparison, I will speak mainly of analytics generalist positions like business analysts and operations analysts. More niche analytics jobs like financial analysts or quality analysts often come from different backgrounds then the bulk of the analytics talent I have worked with.

The first group of analysts are fresh grads. By and large they come from programs like IT, ComSci, Marketing, Business and other related courses. The ones with technical degrees all have some coding skills, know a few programming languages, are very comfortable with Excel and Access and have a general theoretical knowledge of databases, data warehouses and how big data is collected, stored and managed. Generally the business and marketing grads, have less technical skill, but are better prepared for the communication and data sharing side of analytics.

There are several thousand of these graduates entering the workforce every year, but a small % of them are really prepared for analyst careers. Several schools have launched Business Analytics elective tracts, but they are just getting started.

Most fresh grads with analytics talent find jobs in retail or in call centers, many as tech support or IT staff. The ones that do end up with the word analyst in the title are actually more like data encoders or just run reports.  They do very little actual analysis.

From this pool, the English and communications requirements of many analyst jobs screen out 75% of the applicants. Fresh grads who start in analyst roles make salaries of between 10-20,000 PHP a month.

The second group of analysts comes the way most people have become analysts… accidentally. They have very similar educational experiences to the fresh grad batch, but started as a CSR or IT or Tech Support and rose above their peers to take on more complex duties.

These analysts find ways to add value to their reports, or have a propensity to solve hard problems or have a tech skill that really stands out. They are promoted to entry level analyst jobs where they are generally used with business lines to do metrics and KPI reporting, assist with process improvement initiatives.

They start to become very skilled, but generally in only 1-2 applications. Their talent is very concentrated and they are not generally pushed to do more. Whether it be working with certain BI or analytics tools, CRMs or other applications, they become very proficient end users but rarely learn the concepts that allow them to move easily between companies. They generally make salaries of about 20-30,000 PHP a month.

However, that doesn’t stop them from hopping around quite a bit. The severe talent shortage for analysts in Metro Manila see a lot of analysts with 1-2 years under their belt get pirated and over a 5-6 year period you see they working for 3-4 companies, each time chasing more money. And rarely does this make them a better analysts as they have a lot of knowledge about a few things, but have not really mastered a competency in anything.

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The only training they receive is in-house training on new systems that is generally rolled out from abroad/above. This is one of the biggest difference between analysts in the US and India versus the Philippines. There is little investment in the analyst to grow. There is no encouragement to innovate they get bored pretty quickly which is why they are so susceptible to jump for a little more money.

Based on my observations, maybe 20% of this pool of thousands stick with the same company and rise up to be an experienced analyst in their original company. And you find the ones who stick are generally employed by US, Indian and European BPOs. They make about 25,000 and up PHP a month.

The final group, the more experience analysts are a rare breed. They have the skill similar to what you would expect from an Indian or US analysts with 5 years of experience. They have mastered a couple of disciplines (apps, systems, dbases, etc) and have carved out a good niche. They get paid at least 30-40,000 PHP a month and are firmly established with their employers.

They don’t hop for more money and they tend to be pretty loyal. The best way to pry them away is to offer them something new and different to play with. When you appeal to their curiosity, then they will consider hoping for more money. This is the play the HP, IBM, Google, Citibank, and others who have set up analytics teams are doing. They are trying to entice top talent with both money and new opportunity.

There is also a small, but growing number people in the Philippines who are at the level I was when I left Wells Fargo. Analytics Experts who can offer you a wide range of analytics solutions, understand how complex analytics works and are truly on the cutting edge. A lot of these analysts are now being classified as data scientists. The salaries for these positions can be 50,000 PHP or more a month.

Traditionally data scientist have advanced degrees in statistics, math or some other heavily technical field of study. They generally focus on building models and mining big data using advanced software. They have mastered several coding languages and use predictive and prescriptive modeling techniques. If I had to put a guess on this, there might be a couple thousand true data scientists in the Philippines right now. Hardly enough to go around.

In reality, many of the job postings across the Philippines for data scientists are actually looking for something different. The term is the current hot buzz word and many traditional analyst jobs are being mislabeled as data science jobs. It is very important when hiring someone who has data science in their background to make sure they really have the level of expertise you need.

Bottom line though, if you are looking for someone who is curious, adept at technology, loves solving problems and is data hungry, you can find them in the Philippines.

These thoughts are solely based on my observations and research; I would love to hear others either validate or counter any/all of my conclusions.

If you would like to know about the current state of analytics in the Philippines, please check out my new book, Putting Your Data to Work. The book serves as a guidebook for Filipino professionals to better understand how to get more data in their business. Connect with me and I’ll let you know how to get a copy.

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.