How Many Data Scientists are There and is There a Shortage?

Recently saw this article on KDnuggets (check them out if you aren’t already subscribed) and thought it was worth using to update some of my slides about the current talent shortage for Data Science & Analytics (DSA) skills.

This shortage is definitely acute here in the Philippines.

The 2011 McKinsey report on Big Data said that “The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of Big Data.”


In 2014, KDnuggets examined “How Many Data Scientists are out there?” and came with an estimate of 50-100,000, and did not see much evidence of a massive shortage then. In 2014, we found only about 1,000 job ads for “Data Scientist” on indeed.com. 


Now that we reached 2018, KDnuggets has examined how accurate were those predictions and tried to answer three questions:

1. Is there a shortage of Data Scientists now?
2. How many “Data Scientists” are there , both in name and in function ?
3. What are the future prospects for Data Scientists?

 

The answer to the first question is a resounding YES!
  • LinkedIn Workforce Report for US (August 2018) says “Demand for data scientists is off the charts  … data science skills shortages are present in almost every large U.S. city. Nationally, we have a shortage of 151,717 people with data science skills.
  • Note that LinkedIn reports shortages for people with “Data Science Skills”, not necessarily people with “Data Scientist” title.
  • We can estimate the demand for “Data Scientists” from two popular job search sites – indeed and Glassdoor.
  • Search on indeed.com for “data scientist” (in quotes) in USA finds only about 4,800 jobs. However, in a search for data scientist without quotes, about 30,000 jobs.
US is the largest but not the only market for Data Scientists. We can also see strong demand for Data Scientists elsewhere:
  • UK: 1,100 jobs
  • Germany: 900 jobs
  • France: 718 jobs
  • Philippines: 599 jobs  — You Read That Right! More than India.
  • India: 500 jobs
Glassdoor search for “Data Scientist” finds about 26,000 jobs in USA (same results if quotes are removed).
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Question 2: How Many “Data Scientists” are There, Both in Name and in Function?

Google search defines a data scientist as “a person employed to analyze and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making.”

There are many people in the industry and academia who do this work without having the formal title of a data scientist, since Data Science is an interdisciplinary field at the intersection of Statistics, Computer Science, Machine Learning, and Business. We can estimate the current population of Data Scientist by examining popular data science platforms.

Kaggle (now part of Google) is a platform for data science  and analytics competitions. It claims to be the world’s largest community of active data scientists.

While not all Data Scientists take part in Kaggle competitions or have a Kaggle account, and not all Kagglersdo work of data science, it is reasonable to assume a large overlap.

On Sep 19, 2018 Kaggle says they surpassed 2 million members in August 2018.

Since not all Kaggle members are active, Kaggle membership is probably a global upper bound for people engaged in data science.

KDnuggets is now reaching over 500,000 unique visitors per month.

KDnuggets now has about 240,000 subscribers/followers over Twitter, LinkedIn, Facebook, RSS, and email.

On LinkedIn, there are many groups dedicated to data science, and although the engagement in those groups has been falling, we can use their membership as a rough estimate. Here are three of the largest groups

  • Big Data and Analytics  –  339,000
  • Data Science Central – 278,000
  • Data Mining, Statistics, Big Data, Data Visualization, and Data Science – 170,000

Searching LinkedIn for “data scientist”  (quotes are important) we find over 100,000 people with that actual title.  So if globally between 200,000 and 1,000,000 people are doing some Data Science related work, then a majority of them does not have a Data Scientist title.

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We can also estimate the by looking at activities related to languages and platforms most connected to Data Science: R, Python, Machine Learning libraries, Spark, and Jupyter.

  • Apache Spark Meetups had 225K members recently and growing every month.
  • Intel Capital estimated that there 1 million R programmers worldwide.
  • Based on the public data on python.orgwebsite, there have been around 2.75 million downloads.
  • Jupyterproject has around 3 million users at present.

These numbers can give us a rough upper limit on the number of data analysts/data scientists around the world.

So yeah, to answer the question, there are at least 200,000

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Question 3: What are the Future Prospects for Data Scientists?

The near-term future for Data Scientists looks bright.

LinkedIn 2017 emerging jobs report claims that machine learning engineers working today has increased by 9.8 times as compared to 5 years ago.

Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn. Data scientist roles have grown over 650% since 2012.

Job growth in the next decade is expected to outstrip growth during the previous decade, creating 11.5M jobs in the Data Science/Analytics area by 2026, according to the U.S. Bureau of Labor Statistics.

IBM recently claimed that by 2020 the number of Data Science and Analytics job listings is projected to grow by nearly 364,000 listings to approximately 2,720,000. No matter what the true number of data professionals out there currently, their number is likely to grow in the near future.

So What are the Future Prospects for Data Scientists in the Philippines?

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Based on Data from APEC (Asia Pacific Economic Cooperation), there is both a huge demand here in the Philippines as well as in the jobs where the Philippines already has an outsourcing pipeline too.

SO what does that mean for you?

You Need to Know Exactly What You Need to Hire/Learn how to have/be a Data Scientist?

And it’s not easy.

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To assemble a team of DSA Practitioners, you need to make sure you have the right combination of talent.

Here is how I would start.

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Make sure you have people who can do these functions.

And if you want to learn how to be one of these key players, I’m betting you need to know where to start.

So wether you want to be a DSA enabled professional or you want to assemble a DSA team, here is a better understanding of how that looks.

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Yeah I know. It is a lot!

So, what now?

Connect with DMAIPH and we will get you started!

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DMAIPH – Decision-making, Analytics & Intelligence Philppines

Over the past few years businesses in the Philippines have invested heavily in big data, analytics and data science, but still have not achieved the expected outcomes of data-driven companies.

Based on our learnings from the 100’s of Filipino businesses and 10,000s of Filipinos who have taken part in DMAIPH Analytics trainings all across the country, we have crafted a proven,  non-technical approach to upskilling your team in analytics.

In 2019, we will be launching two new training programs: (1) Our DMAIPH Applied Analytics Master Class series for executives, leaders and decision-makers and our (2) DMAIPH Applied Analytics Boot Camp series for practicing analysts.

We will feature case studies of real Filipino run business, exercises based on actual analytics challenges being solved by Filipino analysts, and provide you with a copy of my book, Putting Your Data to Work, an analytics guidebook for the Filipino professional

Connect with us via our marketing partner, http://www.sonicanalytics.com to learn about upcoming analytics trainings and events. 

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The AAP Analytics Internship Matching Program

Innovating the Data Science & Analytics Internship Experience in the Philippines.

The Analytics Association of the Philippines will offer a Data Science and Analytics Internship matching program for Filipino students and employers. The AAP will serve as a conduit and catalyst bridging theory and application to ensure value to the company as well.

Our program has been developed to address 3 current challenges facing students and employers when it comes to data science and analytics themed internships:

  • students are often given menial tasks that do not apply knowledge / learned theory
  • mechanisms do not address disconnect between areas of interest and areas of need
  • companies are not able to effectively identify parts of the value chain that can be assigned to interns while causing no substantial risk to the business’ operations

By enrolling in the AAP DSA Internship Matching Program, students will be matched with employers that provide opportunities to learn and practice DSA skills that are in high demand in the workforce. Students can also be fast tracked for employment post-graduation by their match in a more continuous process.

By enrolling in the AAP DSA Internship Matching Program, employers will be matched with students that are committed to learning DSA skills that can add value to the employer’s business as well as provide a more seamless path to career placement.

Employers will also be encouraged to take a more active role in providing, business cases, data sets and resource speakers for the programs the students they are matched with come from. By being more involved with their students before and after the internship, the bridge between academia and industry will be optimized.

To this end we have developed the following process that will kick off on January 15,2018:

  • Students apply for OJT matching with AAP
  • Employers apply for OJT matching with AAP
  • AAP Matches students and employers based on profiles
  • AAP conducts orientation for students and employers
  • AAP provides online resources to both students and employers

The AAP will assess partner schools and their respective tracks and courses that could work on analytics (end-to-end of value chain) The AAP will also define areas of expertise of each program based on the APEC DSA Competencies and the AAP DSA Framework. Students will be interviewed and vetted.

Additionally, the AAP will provide a matrix of industry partners and corresponding needs (with parts of the value chain, doesn’t have to be siloed, can cover multiple parts)

As for the employer, they will:

  • Define problems/needs (could be something students can work on parallel to an existing team effort)
  • Define final output (paper/study, running program, a presentation, proposal, working product, solution)

As for the schools, they will:

  • Provide 1-2 professors to assist in mentorship
  • Conduct processing of internship experience to give feedback to AAP

Overall our goal is to offer a unique value proposition by facilitating internships with a view of work as an end-to-end process that involves deep-diving into a specific problem or project of the company. The companies enrolled in our program get real value out of internships besides serving as a marketing tool.

With our network of industry partners, prestigious academic institutions and analytics thoughts leaders, the AAP is well positioned to facilitate significant change in the way analysts and data scientists are born.

Our Analytics Internship Matching Program will go a long way in providing tomorrow’s workforce with in demand skills that employers covet, which in turn will allow the Philippines to be a world leader in analytics talent.

Most of the credit for the content of this post goes to Mel Awit, the AAP Analytics Manager. 

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DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) 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.

 

 

Meet the Founders of the AAP at the Big Data Conference on Nov 15 @ SM Aura

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Meet the Founders…
Daniel Meyer
Executive DirectorPresident and Founder of DMAIPH (Decision-Making, Analytics & Intelligence Philippines), an Analytics, consulting, training and outsourcing company with offices in Manila and the San Francisco Bay Area.He worked as a Senior Analytics Consultant for Wells Fargo Bank for 15 years. He provided executive management analytics for the bank’s remittance service including developing business dashboards, overseeing competitive intelligence gathering, managing data analytics outsourcing projects and facilitating audit and risk management.Catch him on:

  • Oct 18 – Gensan ICT Summit 2017 (SM Gensan)
  • Oct 18 – Data Night Gensan (Mabuhay I.T. Park, Gensan)
  • Oct 24
  • Oct 26-27 – HR Big Data & Predictive Recruitment Analytics
  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )
  • Nov 18 – For Generation Digital by Blogapalooza (City of Dreams)
  • Nov 21-22 – Big Data Analytics and Data Value Chain
  • Nov 23 – Philippines HR Group Summit 2017 (Sequoia Hotel, Quezon City)
  • Nov 24 – Digital Marketing Analytics
  • Nov 28-29 – Analytics for HR Managers (2nd Run)
  • Dec 4-5 – Big Data for 2018
Colin Christie
Governance & Membership ChairA serial entrepreneur, connector and collaborator. He currently serves as the Executive Director of Global Chamber® Manila, and is Dean & Director of Digital Transformation at Enderun Colleges. Colin serves as a President of the Board of Trustees of the Analytics Association of the Philippines (AAP.ph). Colin has practiced a life-long passion for embracing transformative technologies, spanning many industries, from manufacturing, to software, to healthcare and education. Colin is a graduate in Chemical Engineering from the University of California at Berkeley.Catch him on:

  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )
Karlo Panti
External Relations & Marketing ChairA Director of Global Production at QuintilesIMS responsible for mature markets and developed countries in the Asia Pacific and the Country Head of IMS Health Operations Center Philippines, Inc. serving as the President and Chairman. In addition, he is one of the founding members of the Analytics Association of the Philippines, serving in the Board of Trustees as the Head for External Relations.He has more than 16 years of experience in operations and service delivery, having managed large teams in different industries and geographies and migrated new business processes to the Philippines from different Fortune 500 companies.Karlo led teams servicing different verticals mainly in life sciences data analytics, insurance and healthcare, F&A, travel, transportation and logistics, high-tech, consumer and telecommunications.Throughout his career, he has improved the operational processes of different companies as a COPC Practitioner and a Six-Sigma Champion helping them grow their business with his involvement in sales, due diligence, transitions and migrations as well as automations and transformation projects.As a speaker and a facilitator, Karlo has shared his insights on leadership development, operational excellence, team building, business analytics and life sciences.Catch him on:

  • Oct 13 – 15th Philippine Institute of Industrial Engineers (PIIE) National Congress
  • Oct 25 – HIMSCON 2017
Dominic “Doc” Ligot
Research and Development ChairAn entrepreneur, software developer, trainer, and data consultant. Doc’s passions include advanced analytics, disruptive innovation, organizational change, and obtaining business value from data. He is the Founder and Managing Director of Cirrolytix Research Services which provides data and analytics support to small and medium enterprises and analytics freelancers in the Philippines.Doc teaches digital marketing analytics for the Certified Digital Marketer (CDM) program and financial analysis and management science for the American Academy of Financial Management (AAFM). Prior to becoming a tech entrepreneur, he was Asia Pacific Practice Partner for Advanced Analytics for big data analytics firm Teradata and previously held executive leadership positions at global banks HSBC and ANZ.Catch him on:

  • Oct 26-27 – Global CEM Summit Financial Services Singapore
  • Oct 21 – Bookkeepers Summit 2017
  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )

Brenda A. Quismorio

Education (Academe) Chair and Data Science and Analytics Framework Co-Chair

Dr. Brenda A. Quismorio has a combined fifteen years of experience in consulting, training, project management, process reengineering, application development and maintenance, quality management, and data services work for global firms such as Andersen Consulting (now Accenture) and Watson Wyatt Worldwide (now Willis Towers Watson) and local firms such as First Philippine Holdings and Aboitiz Transport Systems (now 2GO Group Inc.).Brenda joined the academe in 2010 as an Assistant Professor at the University of Asia and the Pacific. She spearheads the undergraduate specialization program in Business Analytics.

She is a founding member of the Analytics Association of the Philippines (AAP) and the Business Analytics Society of Educators (BASE). She forms part of the Advisory Group of the APEC Project DARE (Data Analytics Raising Employment). She is currently the Board Member and Chair of the Education-Academe Committee of the Analytics Association of the Philippines. She is a resource person of a number of professional organizations and training institutes on Business Analytics.   Brenda holds degrees from the University of the Philippines (Diliman) in BS Statistics, MBA, MS in Management and Phd in Business Administration with a dissertation on modeling financial extreme risks.

Catch her on:

  • Oct. 17-18 – 2017 BSP-UP Professorial Chair Lectures (Executive Business Center, BSP Complex)
  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )
Sherwin Pelayo
Data Science and Analytics Framework Chairhas been involved in strategic capability development initiatives at Accenture, IBM, and now at Pointwest Technologies Corporation. In this role, Sherwin has been responsible for defining strategies to initiate and expand key transforming digital services including identifying focus areas, defining competencies, building curricula, enabling practitioners, developing leads and opportunities, architecting solutions, and ensuring project delivery.His current focus is in Analytics and Experience Design. It is in the intersection of these two where Sherwin finds his passion–connecting the science of Analytics and the art of Human-Centered Design not only to bring data-inspired, user-driven solutions for business partners but also deliver greater, more impactful social innovation for the Philippines.Catch him on:

  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )
Dr. Eugene Rex L. Jalao
Education (Academe) and Research and Development Co-ChairAn Associate Professor of Analytics and Industrial Engineering in the University of the Philippines Diliman, Department of Industrial Engineering and Operations Research. He specializes in Decision Support Systems, Business Analytics Solutions, Data Mining, Optimization and Systems Simulation. He obtained his Ph.D. in Industrial Engineering from Arizona State University (ASU) in May 2013. Additionally, he obtained his Masters of Science in Industrial Engineering degree as well as his Bachelor of Science in Industrial Engineering from the University of the Philippines Diliman in 2009 and 2007 respectively. He was inducted into the Alpha Phi Mu, Industrial Engineering Honor Society in 2012.His ten years of work and research experience are in the fields of business analytics both here in the Philippines and in the United States of America, specifically in the Banking, FMCG, Manufacturing, Real Estate, Healthcare, Telecommunications and Information Technology industries. Also, he is the current director of the Business Analytics Certification Program of UP National Engineering Center. Furthermore, he was part of 50-person APEC team that drafted the Recommended Data Science and Analytics Competencies last May 2017 in Singapore. He is also a certified SAP ERP Materials Management consultant, a Matlab computing associate and an advocate of the R Programming language.Catch him on:

  • UP NEC Analytics Certification Training Modules
  • Oct 18 – 20 – Module C – Descriptive Analytics
  • Nov 22 – 24 – Module B – Data Warehousing
  • Dec 6 – 8 – Module D – Predictive Analytics
  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )

Michelle Alarcon

Education (Professional) Chair

With more than 20 years of IT consulting experience in the Philippines, US and Europe, she started her own consulting firm 4 years ago that specializes in analytics, her passion ever since she graduated with a degree in Statistics from the University of the Philippines. She trained on and practiced data mining in Spain for two years, and later on pioneered the Analytics Department of the largest local private bank in 2005.

In 2011, she was the Consulting Director for a top software company where she led a team of 150 consultants in implementing enterprise solutions for companies worldwide. Now as President and Managing Director of Z-Lift Solutions, she brings all these experiences to her clients as she defines their roadmap towards a smarter business with analytics, and enables them to make it part of their new culture as a data-driven organization. She is also the organizer of the R Users Group of the Philippines, a 4-year-old community that aims to promote the use of open source R for statistical programming in the country.

Catch her on:

  • Oct 18 – R Users Group (RUG-PH) Meetup (TIP Manila)
  • Oct 17 – Big Data and Analytics (Colegio de San Agustin)
  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )
  • Nov 16 – RUG-PH Meetup (Manulife UP-Ayala Technopark)

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The Analytics Moonshot of Upskill Training 500K Filipinos… So how is it all connected?

There are undoubtedly many ways to approach a task of this magnitude, but for me it starts with creating more experts.

One of the biggest challenges facing Data Science and Analytics in the Philippines right now is a lack of subject matter experts.

Those who have the background, the experience and the skills to be a senior analyst or data scientist are in short supply.

Over the past years the demand for top DSA has boomed laying bare an unescapable reality, there just aren’t enough of us to go around.

The proliferation of data themed trainings, coupled with the recent launch of several academic efforts to mint experts show us that there are those thinking about how to address the supply problem.

However, my worry is that these efforts are simply too small in scope to significantly alter the trajectory we are currently on.

Even on my own, as a top expert and training resource, I can only directly impact a couple of thousand Filipinos a year.

If my analysis of the current DSA Ecosystem plays out, we, and by we, I mean ALL parties involved in training DSA experts, we will still be far short of the 500,000 DSA job opportunities the Philippines will see by 2022.

To turn things around we need to not just focus on creating DSA experts, but creating DSA experts who can create more DSA experts.

It starts with training trainers who can train DSA topics.

It continues as we influence our leaders, our policy makers and our educators to address the need for experts via the education system.

At the same time we embrace non-traditional ways of learning and we enable self-educated experts.

All the while we train, train, train. Upskill train entry level workers for new careers, train managers to manage using data and build teams who know data, and train executives how to lead their organizations into the digital age.

And our efforts build as we unify the ecosystem to get key players to align into a framework that supports each other.

With that, we then move these efforts nationwide.

Now we are talking. This concentrated effort might just get us to 500,000 Filipino DSA experts, which can mitigate the risk to the BPOs, make us competitive across the Asia-Pacific region and succeed in the digital transformation of an entire country.

And that’s why I call it our Moonshot.

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Analytics Leadership – DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) 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.

Analytics Education = Out with the Old, In with the New

Having spent the last 5 years talking about analytics here in the Philippines, it seems we are finally at a place where a significant percentage of leaders and decision-makers are now aware that they need a good analytics strategy for their business to succeed.

Now that we are finally at point where people in power get, we have another challenge. Just because they get it doesn’t mean they know how to enable it.

In fact most of our current solutions to educate and train when it comes to analytics seems to be a bit old fashioned. Analytics evolves much faster then traditional education models can keep up with.

In fact, most people learn analytics on the job. Some attend public trainings. A few receive practical experience while in school. Very few learn in vocational or apprentice like programs.

Almost all the training is done in person, with an expert teaching in a classroom setting.

Most of the training is done by talking theory and doing some exercises on mock data.

Due to data privacy issues, few companies allow employees to get up skill training while using their own data and towards solving real business problems.

To compound the challenge, there are a precious few analytics experts to go around to meet the surging demand for analytics education and training.

When I do the math… 500,000 Filipinos need analytics training in the next 5 years to ensure we can deal with the wave of digital transformation the world in undergoing.

So now what?

It’s easy to say online training is the solution. And it is part. But just filming a training and reshowing it loses a lot of the impact. When learners aren’t engaged they struggle to absorb most of the content.

So live online classes that have an interactive ability are key.

Harnessing the power of YouTube and looking at things like TED talks give us some ideas.

Formal corporate trainings can be supplemented and eventually superseded by meet-up groups and more informal learning sessions.

Formal education has to transition more from the class room and to on the job.

Right now, students spend 90% of their time in classroom and less then 10% on the job working with real data solving real problems. Many schools struggle with educating on analytics topics because they don’t have qualified professors.

Lets flip that around. Let the subject matter experts working in the field do more of the education in the workplace.

That’s just three ideas; Interactive Analytics Talks, Optimizing Meet Up Groups and much more dynamic On the Job training.

What else can we do to shot for the moon?

Dr. Data_Analytics in the Philippines

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.

The Scope of the Challenge of our Analytics Moonshot

Sometimes I think it helps to having had a project management experience before I dove into analytics full time. There are a lot of project management methodologies that come in handy when sizing an analytics project. Like coming up with data for a BRD.

A Business Requirements Document (BRD) includes explicit specifications of how data should be used to solve a business problem and how much it should cost depending on what it is expected to achieve.

The main goal is to deliver actionable insights by taking into consideration the data, the time allocated and the needs of the end user/audience.

The BRD must be universally agreed upon by all stakeholders involved.

The author of the BRD must understand the business processes and the key objectives of the project to ensure proper implementation.

The most important element of a BRD is the scope of the project, which includes any restrictions and constraints that need to be considered during the development process.

  1. What is the problem that the organization needs to solve?
  2. What are the restrictions that need to be considered?
  3. Is the time and money invested in solving the problem worthwhile?

So for our analytics moonshot of upskill training half a million Filipinos in the next five years, we need to start with a project management approach. So here are some considerations for our BRD:

  1. The organization (AAP.PH) and its growing legion of partners needs to facilitate the large scale training of 100,000’s of Filipinos with Data Science and Analytics (DSA) skills in the very near future. If we succeed, the economic growth of the Philippines will have a much higher chance of continued to success in a world besieged by changes from new technologies. If we fail, then I see the change of continued economic growth and prosperity being much harder of achieve here in my adopted home. So we start our scope with the audacious goal: upskill train 500,000 Filipinos to be DSA enabled professionals by the year 2022.
  2. There are many restrictions that we need to consider. Not enough experts able and willing to conduct the trainings. Not enough schools able to educate students in DSA skills. Not enough teachers with DSA knowledge. Lack of awareness among decision-makers in government, in business and in academia. The diversity of needs, with skill requirements all across the spectrum from simple reporting using excel to complex data science and predictive analytics, Nationalism and attempts to slow or reverse globalization, most interested parties work independently and there is little history of collaboration, and on and on… The only way to address all of these restrictions is share stories based on data to compel Filipinos to become part of our advocacy. The data behind why we need to get better at data is clear, its the acceptance of what the data tells us and using even more data to guide our decision-making that we need to make clear.
  3. What ever time and money investments made into this advocacy will have amazing benefits. Maybe we can’t save all call center jobs from being threatened by A.I., but we can save a lot. Maybe we can’t turn every school into an engine that produces DSA skills graduates ready to contribute day one, but we can empower a lot. And maybe we can’t help every Filipino business infuse for DSA into their processes, but we an help 1,000’s. The time is now, The money is there. We just need to line things up so that our moonshot succeeds. And when we do, the Philippines will be a world hub for analytics unlike any other nation, primed and ready to deliver world class DSA services both domestically and abroad.

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Analytics Leadership – DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) 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 Association of the Philippines and our DSA Moonshot

When I think about what we can accomplish with the AAP I think about some pretty big stuff.

Moonshot kind of stuff.

It took more then just a government initiative to put a man on the moon. It took an effort of thousands. And the support of millions.

For the AAP, our moonshot starts with advocacy which comes in the form of doing as much talking about DSA as possible.

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Raising awareness among decision-makers is key. It is no longer an awareness about what is DSA (Data Science & Analytics). People get it.

Now it is an awareness of how Filipinos can use DSA in their  business.

I get excited thinking about how the AAP  can focus our message as thought leaders and look to continue to complement each other in ways that individual companies could never dream of.

We have been actively looking for speaking opportunities to push the message that DSA in the Philippines is of paramount importance.  In many ways, even a matter of national security when you look at the threats of Artificial Intelligence, nationalism and political instability… impact OFWS and BPOs directly. The two biggest source of revenue in the country.

Outside the core group who have come together to get the association off the ground, we can empower the multitude of interested parties to help too spread our advocacy too.

I see us sharing our message of collaboration and the idea that a rising tide lifts all boats across every industry and from all sectors. Big and small, domestic and international, size and scope don’t really matter, we all need more analytics in our businesses.

If we get enough key players on board with the advocacy we will have a legit change to actually upskiil train 500,000 Filipinos to be DSA enabled in the next 5 years. That is the moon shot goal I’m dreaming about.

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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 Past Week Reminds Me Why I Love Analytics in the Philippines

When I left the U.S. five years ago, it was to chase a dream.

The dream although simple to me was one that many people thought impossible at the time… to see analytics becoming a topic of everyday conversations.

In business, in education, in the government and in the media over the past week, I have been part of conversations about how to empower 100,000s of Filipinos to get more analytics in what they do.

There is still so much to be done to turn this dream into a reality, but as I have talked with journalists, professors, political figures and business leaders, I keep getting the same result… the dream is now one that many share.

Some examples of the new reality…

The Analytics Association of the Philippines (AAP.PH) will be the umbrella on which so many analytics initiatives incubate, grow and prosper.

Schools like De La Salle – College of St. Benilde, the University of Asia & Pacific, and UP will continue to offer new and innovative courses built around regional standards for the enablement of data science and analytics.

New batches of students like CSB’s SMIT students taking Business Analytics subjects will enter the workforce armed with more skills then any batch before them.  They kids are learning Tableau while still in school. How cool is that?

Advocacies like Augment BPO will rise up to address clear and present threats like the one that AI presents to the BPO industry.

And that’s just the tip of the proverbial ice berg.

It’s been a really good week.  No, check that… its been a great week.

And it all reminds me of why I love this adopted country of mine so much.

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The Augment BPO Data Science and Analytics Advocacy Project (Augment BPO) is empowering BPO Companies, Executives, and Workers in the Philippines to prepare for and address the clear and present danger posed by Artificial Intelligence Chatbots (AI Chatbots) to BPO revenue growth and jobs through Data Science and Analytics strategy planning, awareness building and upskill training.

DMAIPH is a founding member of the Analytics Association 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.

Top Data Science & Analytics Skills in Demand: 2017 vs 2022

One question I get asked a lot are what are the best skills to master for Data Science & Analytics (DSA) jobs right now?

Another question is what skills will be in demand five years from now.

With both questions, most of the ones asking are looking for specific applications or tools to learn. Often my reply is that it really doesn’t matter which tool or application you use as much as you get practical experience working with data.

My point is that job titles and technical skill sets come and go as technology evolves… what you really need to do is be in a place where your curiosity and critical thinking are continuously challenged. It helps to also be somewhere that encourages new solutions and has a culture that fosters innovation.

Not easy to find, but thats more important to me then what you learn now. That said, I still have to answer the questions with some sense of what to learn and master so…

Here are some of the top DSA skills needed right now:

  • Management Reporting
  • Advanced Excel
  • Familiarity with Business Intelligence Tools
  • SQL Coding for Teradata Databases
  • Transforming Data Warehouses into Data Lakes
  • Business Dashboards and Data Visualization with Tableau
  • Predictive Analytics with R and Azure
  • Predictive Model Building with SPSS
  • Data Storytelling

By no means a exclusive list… if you do a quick search of job posting for DSA professionals you will not find two job posts with the exact same requirements.  From where I sit, these are just the ones I see a lot.

When it comes to the future, I did a quick search and came up with this list…

Here are some of the top DSA skills likely needed over the next 5 years.

  • Natural Language Generation and Text Analytics
  • Human/BioMetric Analytics
  • Machine Learning
  • Prescriptive Analytics
  • Chat Bot Design and Maintenance
  • AI Virtual Assistants Design and Programming
  • IoT Sensor Analytics

Again… not even close to a complete list, but you can get a sense of where things are going.

Assuming most companies mature past the basic analytics phase and that we continue moving towards AI solutions at the current pace, there will be a lot of new analyst jobs out there with new titles. Data Scientists will be busy solving a wide range of data challenges that currently still seem like Science Fiction today.

At least that’s my take as of now.

It will change.

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The Augment BPO Data Science and Analytics Advocacy Project (Augment BPO) is empowering BPO Companies, Executives, and Workers in the Philippines to prepare for and address the clear and present danger posed by Artificial Intelligence Chatbots (AI Chatbots) to BPO revenue growth and jobs through Data Science and Analytics strategy planning, awareness building and upskill training.

Analytics for Team Leads: Optimize Analytics & Data Science for More Efficient Operations and Engaged Employees

Join DMAIPH, Augment BPO and Sonic Analytics in a two-day analytics training for Team Leads on August 22-23, 2017 in Ortigas! 

Learning Session Description

Every  organization is looking for a way to better understand what’s working and what’s not working in their operations. By using meaningful Big Data Analytics techniques, your leadership efforts can be greatly enhanced.

Learning Session Outline

In the past few years, we have seen the importance of big data, analytics and data science grow at a dizzying pace.

With real-time operations metrics & reporting, we can finally know what’s happening in our business, with our employees and with our customers.

New technologies like social networks, data rich information systems and business intelligence applications are fundamentally changing the entire operations process.

The pressure to deliver results has never been greater. Team Leaders are now more than ever required to demonstrate the return on investment of their efforts are contributing to the bottom line.

Building analytics centric teams and using techniques taught in this training session will empower more data-driven decision making. This will result in both process efficiency and better return in investment in the operations of your business.

With the global demand for analytics-enabled talent booming and the coming threat of A.I. to the BPO industry, Team Leaders need a deep understanding of analytics.

Learning Session Objectives

  1. Apply Best Practice Techniques and Cutting Edge Technologies to Organize, Interpret, and Summarize Quantitative Data
  2. Create a Process to Analyze Data and Identify Patterns Not Apparent at First Glance
  3. Reduce “Analysis Paralysis” and Go from Hard Data to Well-Reasoned Conclusions in Less Time
  4. Understand the implications of Artificial Intelligence and Machine Learning in regards to the future of work in the Philippines.

Who Should Attend

This session is suitable to a wide range of professionals but will greatly benefit:

  • Managers, Supervisors and Team Leads
  • Business Analysts working as part of an Operations Team
  • Leaders who oversee business operations

Learning Session Process

Based on a Set of Key Data Science and Analytics Competencies developed by the Asia Pacific Economic Cooperation (APEC), our learning sessions are designed for Team Leaders and Managers to use both in the Philippines and across the region.

Day One – Doc Ligot, Cirrolytix

Session One – Data Analytics Methods & Algorithms: Capture, clean and inspect data. Evaluate and implement data analytics to derive insights for decision making.

  • Data Warehouses and Data Lakes
  • Blending Data from Across the Organization
  • Cloud Computing and 24/7 Data Access

Session Two – Data Science Engineering Principles for Business Operations: Use analytics software and system engineering principles and modern computer technologies to share findings and tell data stories. Develop analytic processes to improve HR operations.

  • Analytics with Lean and Six Sigma
  • Getting IT: the 3’s I and the 3 T’s of Data
  • Data Science 101: How to Build a Data Science Team

Session Three: Computing Principles for Team Leads: Apply information technology, computational thinking and utilize programming languages to design and develop data analysis processes and techniques.

  • Optimizing the use of MS Excel for Operations
  • Mangement Reporting
  • Working with the IT Team: Buy them Doughnuts

Session Four – Statistical Techniques for Data Analytics: Apply and/or direct the application of statistical concepts and methodologies for data analysis including predictive analytics.

  • Predictive Analytics Case Study: Google’s Top Performer Model
  • Tying Management Reporting to Predictive Models
  • Group Exercise: Build a Top Performer Model

 

Day 2 – Dan Meyer, DMAIPH

Session Five – Domain Knowledge & Application:  Apply domain-related knowledge and insights to effectively contextualize data, achieved by practical experience and exposure to emerging innovations.

  • Overview of Big Data, Analytics & Data Science in the Philippines
  • Cutting Edge Trends in Big Data
  • How to Apply an Analytics Process to Solving Business Problems

Session Six – Data Management & Governance: Develop and implement data management strategies and governance, incorporating privacy, data security, polices and regulations, and ethical considerations.

  • The 5 V’s of Big Data
  • The 3 Tenants of Data Governance
  • Information Security Guidelines for Filipino Businesses

Session Seven – Operational Analytics: Use data analytics and specialized business intelligence techniques for the investigation of all relevant HR data to derive insight in support of decision-making.

  • Competitor Landscapes and Demographic Profiles
  • BI Tools Demo: Tableau Public
  • Social Media Data

Session Eight – Data Visualization & Presentation: Ability to create and communicate compelling and actionable insights from data using visualization and presentation tools and technologies. Build a Business Dashboard prototype.

  • Data Visualization Guidelines
  • Group Exercise: Build a Business Dashboard Prototype
  • The Concept of Enchantment
  • Data Storytelling Case Study: The Best NBA Team of All Time

 

 

Case Studies and Exercises

We will use case studies and group exercises throughout the two-day class. In these activities, the group is divided into teams. Each team will analyze datasets using the principals learned in the various learning sessions. These exercises will also use elements from the case studies as we progress from finding data, to conducting analysis on the data and finally presenting the data.

Training Investment 

Early Bird Rate: P12,000+ VAT (till July 21)

Group Rate: P13,000+ VAT

Regular Rate: P14,600+VAT (starting July 22)

Investment Includes: 

Two-day Analytics for Team Leads Training, Training Materials, AM/PM Snacks, Lunch and Certificate of Completion.

To inquire about this training or to register, please send an email to analytics@dmaiph.com (event organizer) or visit http://www.sonicanalytics.com (marketing partner).

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Augment BPO

The Augment BPO Data Science and Analytics Advocacy Project (Augment BPO) is empowering BPO Companies, Executives, and Workers in the Philippines to prepare for and address the clear and present danger posed by Artificial Intelligence Chatbots (AI Chatbots) to BPO revenue growth and jobs through Data Science and Analytics strategy planning, awareness building and upskill training.

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DMAIPH

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.