Follow Up to Q17: HR Analytics Trends

As a follow up to my last blog, I wanted to share a few more points about HR and Recruitment analytics then time allowed for. So here’s what I left out.

First we are seeing a massive replacement of licensed, traditional HRMS systems taking place. Many large companies either have, our or are looking into replacing the core HR applications. Most where built internally, just store structured data, are difficult to pull data from unless you can write code and are not integrated with other data structures.

The replacements are often vendor managed, cloud based, data storage solutions with end user interfaces that simply finding and analyzing data and often automate much of the reporting. And they can be updated in hours versus minutes, versus the old platforms that could take weeks if not months to update.

These new platforms are able to provide almost limitless data points, have built in business dashboards and are starting to offer powerful predictive analytics models. The days of many of the old school CRMs and ATSs we are using to manage people data are truly numbered.

Another trend worth mentioning is the efforts cutting edge teams are putting into both candidate and employee engagement. Attempts to “gamify” various part of the employee lifecycle to make data gathering, analysis and sharing more eventful is increasingly common. Its common knowledge that ways to attract and keep the attention of millennials is significantly different then it is for baby boomers or Gen Xers.

Dr. Sullivan mentioned that “we are seeing the traditional annual engagement survey is going the way of the dinosaur (slowly however) and a new breed of pulse tools, feedback apps, and anonymous social networking tools has arrived.” It has never been more important to look at not just the enterprise wide health of a company, but that of small communities within the enterprise.

Metrics that measure how engaged an employee once a year is are no longer enough. We can use things like sentiment analysis, text analytics and social media data scrapping to uncover things we would never see in a survey where everyone is pressured to give top scores.

And we really have to get beyond historical data and descriptive analytics to look at current and predictive metrics. We need to quickly know when and why metrics are headed in the wrong direction and measure the impact of our solutions. And this goes for not just current employees, but future ones as well. Candidate satisfaction with the hiring process is often an over looked metric.

We also now have the data and the tools to run predictive models on how, when and why someone may be looking to leave the company. This creates another whole area of HR analytics to look at.

Dr. Sullivan added that “we are seeing tools to predict flight risk, assess high potential job candidates, even find toxic employee behavior – are all in the market today. While many are not highly proven yet, they all work to a degree, providing great value to any company.”

Now we have, three more trends to consider when it comes to analytics in HR & Recruitment:

Replacement of old internal HR systems with new vendor managed tools
The evolution of employee engagement tools
Predictive analytics modeling

If you are curious about how to get more than just the most basic descriptive analytics out of your business data, then let us sit down and talk about. Finding solutions to replace your old HR systems with more employee engagement options and predictive analytics is not as hard or as expensive as it was a few years ago. Let me show you how getting back on the cutting edge with your data can be done.

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.

Hybrid Staffing Solutions – It’s Not Just Outsourcing

One of the challenges of my business is that it is not simple to explain to someone.

We are not a straightforward outsourcing company.

I don’t work with clients who are just looking to save money by sending jobs overseas.

Instead I offer a hybrid staffing solution. And what is that exactly?

First off I specialize in basic analytics. The types of clients we take on have a need for someone to analyze something in order to answer questions and provide solutions. We don’t do traditional customer service, we are not tech support and we don’t take on many advanced analytics projects.

If someone comes to me asking about predictive analytics models, the blending of big data sources or data science, I am happy to consult with them long enough to find a good match with a company who deals in these things. But it’s not what we focus on.

We are good at things like analyzing social media content, public data mining, building and maintaining business dashboards, conducting demographic research and gather competitor data. We use Tableau and Excel. We help people who have systems in place, they just need assistance with maximizing their value. This is what I teach my team.

We are a niche business partnering with companies who have a specific need.

Our clients are small to medium sized businesses in growth mode. I’ve worked with both small mom and pop businesses and big corporations. They both have limitations to our business model. Our clients all have an analytics centric culture, they just don’t have the resources to optimize and grow the business completely in house.

Another difference between what we do and what traditional outsourcing companies offer is that most of our team is home based. As a general rule, I don’t like the office based model when working with talent from the Philippines. Running an office team in the Philippines is very complicated due to the labor laws and competitive market. It’s us much easier to attract top talent at an affordable price by setting up virtual teams.

In the end, my success has primarily been because we find ways to merge the culture of the client with the team in the Philippines. We don’t look and feel like most outsourced teams, because we integrate the new team into the client’s culture.

So now you have a better idea of why I say it is somewhat of a challenge to explain our model. We offer hybrid staffing solutions… a Philippines based, virtual team set up to mirror the client culture who offer a variety of analytics and back office business services.

Maybe it is not as hard to explain after all.

nalytics 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.

Q7: What exactly is data science and why the rapid rise of data scientists?

A year ago I might have found it challenging to really answer this question. The first time I had heard of the term data science and a data scientist wasn’t that long ago. And I have been doing some pretty advanced analytics for close to 20 years now. I know the term has been around in academic and research circles awhile longer, but 2014 is the first time I ever saw a job posting for data scientist in big business.

So what is data science? Besides simply being the study of data, it generally refers to using complex models, machine learning, predictive and prescriptive analytics and powerful technology to analyze business data in much greater volume, velocity and variety then possible a few years ago.

And of course the ones charged with doing the data science are data scientists. They understand math, statistics, and theories that can be applied to business data using new technologies and methodologies.

The biggest challenge to being a true data scientist is that you have to be adapt at both technology and working with people. Being a business data expert, knowing how to code and doing higher math are only half the job. You have to also share your data, communicate it in ways that drive action, share and engage with non-data centric people. It’s hard to find people who are good at both.

Image from Forbes Magazine.

In addition, whole some data scientists are educated to be data scientists, very, very few actually have any kind of degree in data science. That kind of degree really didn’t exist until very recently. Instead most data scientists have advanced degrees is related subjects and have migrated into the business world do to market demand.

That demand has been growing at a staggering rate the past few years as every day we generate more and more data across the planet. President Obama first employed a data scientist for his campaign in 2012. The White House now has a chief data scientist position.

If you were to compare results from job board searches form 2012, you’d see maybe 100 data scientist job postings. Now its easily in the 1000’s. So that’s why the job market for data scientist is one of the hottest around. Lack of training programs, having both tech and people skills, and the booming demand due to unending new data to being analyzed.

Some people ask me if I’m a data scientist I am careful with my answer. True data science is not something I am academically prepared for nor I have never published anything in a scholarly journal. But my real world experience working with data has made me an expert on many aspects of data science.

I guess I feel more like an analyst, but a freakin awesome analyst who can do a lot of things using data that are super important to a business.

We can empower students and their instructors with the knowledge they need to prepare for careers in analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can set a guest lecturer date, On-the-Job Training experience or other analytics education solution specifically tailored to your needs.

Q4: Can you please describe the current state of analytics in the Philippines? – Part 2

So the last blog post gave us the history. Now let’s cast an eye on the future.

Over the past year or so I have started to see a significant effort from data science and analytics professionals come together to address some of the challenges outlined in my last blog post.

In short, the way higher education and the government has approached the need for analytics talent is simply to little to late to meet the needs of many businesses.

Everything they are doing helps, but in the end the world is desperately looking at the Philippines to do with analytics what it did with customer service. To become a center of capable, long-term and affordable talent.

With taking customer service calls, it was a natural fit given that most Filipino college graduates have a foundation in English. With analytics and data science it has not been so easy. While many Filipino have the underlying course work in coding, database management, computer science, etc… they are not getting enough exposure to data-driven decision making, business intelligence tools, and more advanced things like machine learning, prescriptive analytics and blending big data from diverse data sources.

I don’t want to sound too pessimistic, things are moving quickly but it is generally the multinationals driving things forward. They have the clients, they have the need and so they go out and find people and train them. That’s why 3 years ago hardly anyone in the private sector was offering analytics training, now you see more and more options all the time. They are generally expensive and narrow in focus, but they are opening up huge opportunities for data loving Filipinos to get into upwardly mobile and financially rewarding careers.

I belong to a couple of newly founded organizations of data scientists and analysts who meet on a regular basis to share knowledge, support each other’s ideas and build a community with the goal of using data to helping both the Filipino to fill these open jobs and for the Philippines to begin to use more data in decision-making so we can solve the big issue problems important to all of us.

It’s a pretty exciting time.

10256713_275221292688289_6652823653462957603_o

So where next?

Given that the Philippines is one of the youngest countries in terms of average age on the plant and the youth are incredibly communal and very tech savvy, I have found great success in training batch of Filipino fresh graduates in basic analytics. Of the 200 or so trainees I have personally trained, most of them now have jobs with analyst in their title.

I have also seen a lot of talent quickly go from novice to expert using applications and doing coding in relatively short periods of training. In many respects the approach to analytics is more vocational then academic allowing for quicker training.

Beyond these strength, you can expect more partnerships between the government, higher education and big business to offer training and career pathing. The success of the BPO industry is really the driving force to add employees who can do the tasks of an analyst. The huge surge in job postings demonstrates this quickening trend.

Finally, the reason I see a bright future for analysts and data scientists in the Philippines is the simple fact that Filipinos gravitate to under filled career paths, they push themselves to get the skills to fill those jobs. You see it in the Middle East oil fields, in sailors and seamen in just about every ship at sea, you see it with overseas workers across the planet, and you saw it happen with call centers.

And that is exactly why I set up my business in the Philippines. Here are some of the analytics solutions we offer:

The Fundamental of Business Analytics – Business Analytics is the application of talent, technology and technique on business data for the purpose of extracting insights and discovering opportunities. DMAIPH specializes in empowering organizations, schools, and businesses with a mastery of the fundamentals of business analytics.

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 Business or your HR & Recruitment process so you can rise to the top in the ever quickening demand for top talent.

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.

The Average Keeps Getting Lower And I Refuse To Tolerate This – Updated

Updated on 10/27/16

http://sethgodin.typepad.com/seths_blog/2015/08/the-average.html

The average

Everything you do is either going to raise your average or lower it.

The next hire.

The quality of the chickpeas you serve.

The service experience on register 4.

Each interaction is a choice. A choice to raise your average or lower it.

Progress is almost always a series of choices, an inexorable move toward mediocrity, or its opposite.

I can totally relate to this. We are a society more and more inclined to settling for the average, and are even ok with it when the average trends lower.

One place I see it happening more than most is in talent management. The demand so far outweighs the supply of good talent; we keep lowering the bar.

Frist it was 4 year degree required. Then it was some college. Now its high school grad.

In just a few years we have gone from a high bar to also most no bar.

Same day hiring. No interview required. No test or assessment. Just how up and get a job.

I hate this.

This new reality taking hold across the Philippines is deeply concerning to me.

It is unacceptable to me to be involved with anything that is just average, and I just get crazy when I see people doing things to lower the average on purpose.

There is another way.

If you have good analytics, you can be better at setting a realistic bar and not just going lower to meet requirements.

No more mediocrity. No more playing to the average and definitely purposely lowering the average.

I just refuse to tolerate it anymore!

Let me show you how to use the data in your business to turn things around.

Stop the insanity of fueling high turnover and low employee engagement that is lowering the quality of service to a dangerous place.

Who is with me?

If you are, the you will might enjoy reading my new book, Putting Your Data to Work. I can help you use your data.

Training Analysts: And The Tasks Keep Getting Bigger

Wrote this over two years ago… its still relevant!

When I first came to the Philippines in 2012 to set up an analytics training business I was ahead of my time. No one was really talking about analytics and most people didnt really get what I was trying to do.

I saw a huge opportunity to be at the forefront of a shift in services that would propel the Philippines forward as a place where analytics outsourcing would be successful.

After a few years of doing seminars, speaking engagements and training manily to build awareness, things are really start pick up steam.

Attendance is way up in our public training offerings, I am getting invited to more and more schools and companies are starting to really look for analytics training to both enhance their own decision-making as well as exploring offering analytics as a service.

This goes hand in hand with a memo by CHED (Commission on Higher Education) published two years ago that schools are now trying to figure out how to implement.

I have worked with a few schools already by doing a one day overview of how to meet some of the course objectives outlined in this memo, and now I am looking to expand that to a five day training. Here is what it might look like.

This five day training will need to be eventually expanded into a semester/trimester long class.

Which is precisely what I had in mind when I did my very first Introduction to Analyitics training back in May 2012.

And now that dozens of schools need this, so my tasks keep getting bigger. I couldn’t be happier.

Analytics Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. As a key parnter of the Data Science Philippines Meetup Group, DMAIPH champions the use of using data. All across the world, companies are scrambling to hire analytics talent to optimize the big data they have in their businesses. We can empower students and their instructors with the knowledge they need to prepare for careers in analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can set a guest lecturer date, On-the-Job Training experience or other analytics education solution specifically tailored to your needs.

How High Is Too High? I Don’t Ever Want To Find Out

Somedays I ask myself, why am I never satisfied?

What caused me to be one always looking for ways to improve?

It can be a lonely place sometimes when you have your bar set higher then most people would even dare to reach for.

It can be a sad place when you realize you have gone as far as you can go with some people.

My life is full of instances where people just gave up on trying to follow me.

They choose a path more traveled and less difficult.

I can never do that.

Until my dying breath I will aim high.

I will not always reach that goal, but I will never have to look myself in the mirror and lie to myself about giving my best.

For giving my best is what I have always done and will always do.

I am stubborn in the belief that I can do anything and refuse to give up hope.

For those who choose to get left behind, I am sad you stopped reaching for the stars.

You settled for half way.

But not me. Never me. Its not possible for me too do what you do.

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.

Leading vs. Managing vs. Bossing

The definition of Leading is exercising leadership by providing direction or guidance.

The definition of Managing is to direct or supervise employees or other staff by exerting control.

The definition of Bossing is to give orders to, especially in an arrogant or domineering manner.

Leaders generally try and empower, educate and uplift people working under them in an organization. At times they many need to manage employees who have gone off track, but generally only use this to optimize short term results. Although sometimes managing and bossing can feel the same to the employee, good leaders never have to result to bossing.

Managers generally try to motivate employees to meet business needs. At times the pressure for results will force managers to exert control over their employees to get results. This can generally fee like bossing. Employees that feel like they are constant being directed to do things that are unclear to them how and/or why they are doing it never feel like they are being lead.

People who are in positions of authority who are always bossing are not well liked by their employees. Employees do not feel valued or appreciated when they are constantly being bossed. Bosses use fear and intimidation to drive results, which generally fall short of business goals.

The ironic thing about these definitions is Bosses don’t generally realize they are Bosses. They think they are good managers and even good leaders. Managers generally know they are not Bosses, which is good, but they generally are not in a situation where they can be good leaders.

On the other hand, Good Leaders are always cautious of trying not to fall into the traps of managing people or being the boss. They constantly appreciate feedback to help themselves improve and see their own style of running a business as always evolving.

For a business to be successful you need leaders who can occasionally manage and once in a while be a boss, but most of their time is spent trying take the business to a higher level. That’s my dream for DMAIPH.

Analytics Leadership – DMAIPH is a founding member of the Analytics Council of the Philippines and 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.

The Analytics Driven Leader: Demystifying Strategy

As I prepare for spending the bulk of the upcoming year in Philippines I have several goals in mind; publish my next book, launch a new side business and spend quality time with as many of my team members as possible. And when I think of the conversations I want to have with the team, demystifying strategy and empowering more data-driven decision making are top of mind.

Business Strategy can be a complicated thing for many reasons. First and foremost because although you can have big goals that everyone can see, the fluid nature of pushing a business forward makes it hard for many to conceptualize.

In our case we have gone from a company of 6 with one business line to a company of over 100 with six business lines in just 18 months. On top of that we have diversified from one legal entity with one purpose to three legal entities with complimentary purposes. It’s a lot to take in.

Data-Driven Decision Making can be challenging for mean reasons as well. First of all, few people on the team have a solid foundation in business analytics. Most come from companies where they either didn’t have a direct role in developing the analytics or where in companies that really didn’t value analytics. So it takes some time for people to get on board with the idea of using both data and wisdom to make decisions.

There are so many things that we can do to improve performance, enhance communication and enable more proactive thinking. Refining process flows, building better reports and having more forums for information sharing are all places to start.

My goal is by the end of the 1st quarter of 2017 we have accomplished a lot of these things. By then we will have taken some of the mystery out of our business strategy and empowered more people to look at the data as they make decisions.

	DMAIPH on You Don’t Build A Busine…
	Ioliveiraserpa on You Don’t Build A Busine…
	DMAIPH on The Current Analytics Talent L…
	John on The Current Analytics Talent L…
	Dominic on Outsourcing Tip > Size the…