The Analytics Puzzle for Higher Education in the Philippines

When you look at the picture on the box of puzzle pieces, you generally think it won’t be so hard to fit all the pieces together. But then when you lay out all the pieces and connect them one by one it can often feel like a sense of this is a lot harder then I thought.

In many way, that’s how I feel about efforts to date regarding the teaching of Data Science and Analytics in the Philippines. The end product is clear, just about all the 2,000+ HIEs across the Philippines offering some level of DSA education to a wide range of students.

Everyone agrees that we need more education to meet both the high current demand and the expected huge future demand for DSA talent for both domestic and global consumption. We have seen a lot of awesome initiatives popping up trying to train educators to teach DSA subjects and have seen a number of industry-academe partnerships. CHED has even set aside significant resources to promote the training of faculty and the incentive to offer DSA programs.

So things are going well, but when you look at the simple math of how many educators need to be training in the very near future, some like me get a little concerned. Current programs train a few dozen here and maybe a few hundred there, bit by bit. But if you need thousands then current efforts are just going to come up short.

What we need is a unified front. Bringing together all the interested parties, many of whom are already working on this issue, is the only way to get to critical mass. By my estimation we should be looking at training 5,000 educators in the next 3 years. And a one week overview is just the start. To really become adept at teaching DSA, educators need an apprenticeship that lasts months to really learn the tools of the trade like data storytelling, business intelligence and predictive analytics.

And that is just the faculty… when you think about the 100,000s of students who need to taught DSA, you start to see that this puzzle is gonna take a lot more effort to complete then it may have looked like at first.

So thats where I am at now… both evangelizing and empowering. Raising awareness of what the puzzle looks like when solved and why we need to solve. And empowering to build collaborations to connect the pieces faster then each puzzle expert can work on their own.

And that is exactly why I started Augment BPO.

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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 Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. As a key parnter of the Asia Pacific Economic Cooperation’s Project DARE initative, 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 data science and 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.

Analytics for HR Managers (2 Day Training)

Deploy Big Data Analytics Solutions to Align HR with Organizational Business Strategy

Learning Session Description

Successful HR Managers are strategic planners and take decisions which are apt and considering all the facts. They also have a knack for metrics as these are essential in improvising various process in the organization and make data-driven decisions for the benefit of the organization.

Learning Session Outline

Successful HR Managers are strategic planners and take decisions which are apt and considering all the facts. They also have a knack for metrics as these are essential in improvising various process in the organization and make data-driven decisions for the benefit of the organization.

In the past few years, we have seen the importance of big data, analytics and data science grow at a dizzying pace. By using meaningful HR Analytics techniques, your recruitment and retention efforts can be greatly enhanced.

A recent Facebook job posting for HR Manager described the importance of Analytics for HR Managers. “We are looking for a visionary who gets excited about using data insights to drive HR related business decisions at all levels. The right candidate thrives on HR data, overseeing dynamic reporting and implementing actionable analysis within both HR and across the organization.”

New techniques like predictive analytics and data storytelling as well as new technologies like social networks, applicant tracking systems and business intelligence applications are fundamentally changing the entire talent management process from recruitment to retirement.

The pressure on HR Managers to deliver results has never been greater as they are required to demonstrate the return on investment being made into HR functions.

Building analytics centric teams and using techniques taught in this training session will empower more data-driven decision making across your HR organization from the top down.

Learning Session Objectives

  1. To learn analytics techniques that will allow quicker, deeper and more impactful analysis of HR & Recruitment Big Data.
  2. To be exposed to cutting edge technology being used in other companies to build HR & Recruitment business dashboards and design more powerful reports.
  3. To assess the current state of analytics in your HR & Recruitment process and build a strategy to empower the greater use of HR analytics in your organization.
  4. Understand the implications of Artificial Intelligence and Machine Learning in regards to HR functions.

Who Should Attend

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

  • HR Managers and Recruitment Managers
  • Business Analysts working with HR and Recruitment teams
  • Senior Leaders who work closely with HR and Recruitment

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 HR Managers to use both in the Philippines and across the region.

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

  • The Complexity of Multigenerational Workforces
  • Aligning the Brand between HR & Recruitment and Marketing
  • State of Data Science and Analytics in the Philippines

Session Two – Data Management & Governance: Understand 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
  • Following Data Privacy and Security Laws

Session Three – Data Analytics Methods & Algorithms: Appreciate the processes used to capture, clean and inspect data for HR & Recruitment. Evaluate and implement data analytics initiatives to derive insights for decision making.

  • Finding the Right Data at the Right Time
  • Data Warehouses and Data Lakes
  • Blending Data from Across the Organization

Session Four – Data Science Engineering Principles for HR: Use analytics software to share findings and tell data stories. Develop analytic processes to improve HR operations.

  • Getting IT: the 3’s I and the 3 T’s of Data
  • Data Science 101: How to Build a Data Science Team
  • Data Storytelling Case Study: The Best NBA Team of All Time

Session Five: Computing Principles for HR: Appreciate information technology, computational thinking and utilize programming languages to design and develop data analysis processes and techniques.

  • Optimizing the use of MS Excel for HR and Recruitment
  • Defining KPIs Case Study: Google Project Oxygen
  • Working with the IT Team: Buy them Doughnuts

Session Six – Statistical Techniques for HR Data Analytics: Direct the application of statistical concepts and methodologies for data analysis including predictive HR analytics.

  • Predictive Analytics Case Study: HP’s Flight Risk Model
  • Tying Management Reporting to HR Analytics Models
  • Group Exercise: Build a Flight Risk Model

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
  • Overview of Business Intelligence Tools
  • BI Tools Demo: Tableau Public

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 HR Business Dashboard prototype.

  • Data Visualization Guidelines
  • Group Exercise: Build a Business Dashboard Prototype
  • The Concept of Enchantment

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.

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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. 

Worried Your Call Center Job Might Be Taken by a Robot? You should be.

http://news.abs-cbn.com/business/05/12/17/bpos-gearing-up-for-impact-of-artificial-intelligence-on-industry

I shared this article on an FB group and got a lot of inquires from people who are indeed seeing an opportunity to move from a call center job to a Data Science and Analytics (DSA) job.

Most of the questions revolved around how to transition.

Want to get Data Science and Analytics Training. Not sure how, here are some tips!

  1. Self-Teach a Skill. (YouTube has thousands of free resources)
  2. Volunteer at Work. (Find out what skills are in demand in your company and ask if you can help)
  3. Take a Training Class (there are a lot of public training classes out there, including some that DMAIPH does).
  4. Read a Book (Experts share a lot… like my book Putting Your Data to Work: An Analytics Guidebook for Filipino Professionals)
  5. Find a Mentor (Jedi Knights start as an apprentice, so do many analysts and data scientists)
  6. Join a Group (there are a lot of meet up groups like Data Science Philippines you can use to network)
  7. Go Back to School (a few dozen schools here in the Philippines are either already offering data science an analytics programs are kicking them off soon)
  8. Follow a Blog. (Besides reading books, there are a lot of good ideas shared on blogs like mine, dmaiph.com)
  9. Become a Member (join associations like aap.ph aka Analytics Association of the Philippines)

Another question that came up often was, “What should you learn first?”

Find a tool, technique or technology that is high demand and fits your interests and aptitude. The best way to find out what to focus on is do a job search for the kind of job you want and look at the requirements. For newbies some of the in demand skills are

  • SQL (the most widely used language used for data analytics)
  • Microsoft Excel (if you know pivot tables, simple formulas and can make decent visuals you will be in high demand)
  • Tableau (a free version called Tableau Public can be downloaded and is easy to learn)
  • R (the most widely used tool for predictive analytics and data science and its free)

And then a lot more people added me on FB, hoping to network and find new opportunities. Thats a good tip too. Networking is key.

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.

jobspicture2If 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.

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Also if you own or manage a call center, we can help. In fact, DMAIPH has successfully 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 mastered Surfing Into The Storm and can show you how to succesfully set up a team. 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.