HR Analytics in the Era of Digital Transformation: Thinking Through the Box

Later today I will be speaking to a group of HR Managers and Leaders from the BPO Industry. The gist of my talk will be about the disruption we are all feeling from big data and technology in our businesses.

We can all agree that attracting and retaining top talent has never been harder than it is right now. Years of sustained growth coupled with a progression up the outsourcing value chain have made the integration of analytics into our HR organizations paramount to continued success.

The future looks even more challenging. The way we used to manage talent just don’t work anymore.

New technologies like social networks, applicant tracking systems, business dashboards and business intelligence applications are fundamentally changing the entire talent management process from sourcing to placement to retirement.

These new technologies are enabling HR Managers with vast amounts of big data and providing truly actionable insights which allows a deeper understand of what’s working and what’s not working when it comes to our talent strategy.

Disruption is now the new normal. Cutting edge HR Managers utilize data-driven techniques like; capability analytics, competency acquisition analytics, capacity analytics, employee churn analytics, corporate culture analytics, recruitment channel analytics, leadership analytics and employee performance analytics.

I often say that managing the talent pipeline in the Philippines right now is one of the hardest jobs of the planet.

In fact, the pressure to deliver results has never been greater as HR managers are increasingly required to demonstrate the return on investment their efforts are contributing to the company’s bottom line.

HR Managers that get this, use analytics to not just succeed in these disruptive times, they thrive. They have figured out how to blend the science that is big data analytics with the art of taking care of people. For the BPO industry to continue enjoying prosperity, HR Managers need to become HR Analytics Managers.

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

DMAIPH is a leading expert in empowering HR & Recruitment teams with analytics techniques to optimize their talent acquisition and management processes. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to learn how to get more analytics in your HR & Recruitment process so you can rise to the top in the ever quickening demand for top talent.

An HR All-Star Team for the Decades: 2017 HR Congress Aug 16-17, SMX MOA

Some pictures do not require many words… I think this one speaks for itself.

ariva_Hr_2017

There are many HR events in August, but this is the only one you will find so many top though leaders. It is an honor to be among them.

Has the Philippines BPO Industry Lost It’s Edge?

Just read Tholons latest paper on Digital Disruption: http://www.tholons.com/pdf/TSGI%20Report%202017.pdf

As if things aren’t gonna be hard enough, the BPO industry here in the Philippines is not evolving fast enough. The tidal wave of digital disruption is not something we are adequately prepared for.

Although we are #3 overall when it comes to countries in a position to continue to benefit from globalization, being one of the top countries is by no means assured.

Screen Shot 2017-07-18 at 5.15.42 PM

For the past decade its mainly been a battle between India and the Philippines, but China has crashed the party and a lot of Latin American countries are in hot pursuit.

If you are one who thinks the BPO industry here is gonna continue to see 20% year over year growth, then this slide should give you pause.

Why? Because although blessed with some amazing advantages for customer service, we aren’t currently optimizing our focus on digital transformation.

When you look at the next image, you see both Manila and Cebu have lost ground in the battle of global cities in the past year as well.

Screen Shot 2017-07-18 at 5.14.24 PM

Manila was #2, now its #4. Now is not the time to be complacent. We need to invest heavily in upskilling our BPO workforce to offer higher value chain services. We need to champion for strong DSA programs in the schools. And we need to make sure decision-makers are armed with the data they need to keep the Philippines on the cutting edge of globalization.

Thats why we have the AAP.PH and why we have launched Augment BPO.

17426122_1095825400562902_5936762267508985241_n 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. #AAP.PHMoonshot

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. #AugmentBPO

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.

What is the problem that the organization needs to solve?
What are the restrictions that need to be considered?
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:

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.
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.
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.

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.

http://www.aap.ph

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.

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.

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.

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

Apply Best Practice Techniques and Cutting Edge Technologies to Organize, Interpret, and Summarize Quantitative Data
Create a Process to Analyze Data and Identify Patterns Not Apparent at First Glance
Reduce “Analysis Paralysis” and Go from Hard Data to Well-Reasoned Conclusions in Less Time
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).

Augment BPO

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.

3 Key Tools Needed for HR Analytics: R, SPSS & Tableau

I get asked a lot about what are the best tools to use for HR Analytics. That is not really an easy question to answer as every company has needs a little different then every other company.

That said, the two most common in my experience with HR in the Philippines are R (including RStudio) and SPSS.

R is great for statistical analysis and visualization which is very suited to explore huge data sets.

It enables you to analyze and clean data sets with millions of rows of data. In addition, it lets you to visualize your data and analysis, like what you see below.

RStudio is an open source and enterprise-ready professional software package for R.

It basically does everything that R does, but has a friendlier user interface. The interface contains a code editor, the R console, an easily accessible workspace, and history and room for plots and files. You can take a look at an example of this below.

SPSS is one of the most commonly used HR analytics tools in social sciences. Thanks to its user-friendly interface you’re able to analyze data without having extensive statistical knowledge.

In addition, SPSS is often used within the field of social science. This means that a lot of HR professionals know how to use it, especially the ones with an interest in data.

Additionally, SPSS shares many similarities with Excel which makes it easier to work with.

Tableau is a business intelligence tool that is great at data visualization and business dashboards.

You can also learn to use Tableau to display data you process through SPSS to show results of predictive models.

So for companies looking take the dive into HR Analytics, these tools would give you a good base to inventory and analyze data using R, model it using SPSS and presenting it using Tableau

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

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.

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.

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.

	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…