DMAIPH & Cirrolytix present Big Data Analytics 101 in Cebu on October 16!

Big Data was supposed to make things easier, but more often than not, it simply overwhelms us.

This program is for you if you feel like you’re drowning in data and unsure which data to use to drive your company initiatives.

The truth is that the amount of data available to help run your business is greater than ever before. To effectively use this information, managers must consider the practical side of big data…what matters to you is how do you grow and build a team to make smarter decisions.

Much of the information out there just discusses the promise of the data deluge. The challenge is not the volume of data but rather the judgment needed to use it.

This seminar goes beyond the qualitative side of data analysis to explore proven quantitative techniques and technologies for identifying, inventorying and integrating data, so that more informed and reliable business decisions can be made.

With that in mind, DMAIPH has created a learning session entitled: Big Data Analytics 101. Join us on October 16 in Cebu for the next run of the program.

Our resource speakers: Dan Meyer, Executive Director of the Analytics Association of the Philippines and Doc Ligot, Founder and CEO of Cirrolytix Analytics Consulting Services. Between them, Dan and Doc have over 40 years of Big Data Analytics experience in banking, finance, education, training and data science.

Learning Session Objectives:

  1. Apply Best 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. Master the art of Data Storytelling using Predictive Analytics

In this session, your organization will be able to use:

  • Specific skills to effectively frame the problem you’re addressing to uncover key opportunities and drive growth
  • Critical marketing steps of orientation necessary before engaging tools and technology
  • Strategies to simply and quickly amplify decision making by separating the signal from the noise
  • A framework for asking the right questions, allowing the ability to link analytics to business strategy

In this session, your participants will be able to:

  • Bring out patterns in data that were not apparent at first glance
  • Identify and explain tools for data analysis
  • Shorten the time between analysis and action to avoid “analysis paralysis”
  • Know how to get from hard data to well-reasoned conclusions
  • Understand the entire Data Value Chain from data collection to data visualization

Who Should Attend: All business professionals who need the basic tools to quantitatively and accurately analyze the mountains of data that come across their desk each minute of every day. Managers of analysts or staff who spend a significant amount of their time collecting, analyzing and reporting data.

Section One Title: Big Data—It’s Not Just Size

  • Ascertain the current state of Big Data Analytics in the Philippines
  • Describe the Importance of Effectively Analyzing Big Data in Business Today
  • Establish Clear Objectives When Analyzing Big Data
  • The Three “I’s” of Big Data Analytics
  • Assess Your Current Analytics Culture

Section Two Title: Unlocking the Data Value Chain with Big Data Analytics

  • Recognize and Apply Various Data Collection Methods
  • The importance of Good Data Governance
  • Identify and Resolve Problems Associated with Data Collection
  • Discuss the difference between Data Warehouses and Data Lakes
  • Utilize Business Intelligence Tools

Section Three Title: Moving from Descriptive Analytics to Predictive

  • Determine and Analyze Risk, Uncertainty, and Probability
  • Spot Patterns, Trends, and Fluctuations Through Correlation, Regression, and Descriptive Statistics
  • Understand when to employ Descriptive, Diagnostic, Predictive or Prescriptive Analytics
  • Build Data Models
  • Exercise: Building a Predictive Model Prototype

Section Four Title: The Art of Presenting Big Data

  • Discuss the concept of Data Visualization
  • Apply a Process to Present Big Data Clearly
  • Select the Appropriate Presentation Format to Communicate Your Findings Effectively to Your Audience
  • Case Study: Using Data Storytelling to determine the Best Team in NBA History
  • Use Findings from Big Data to Drive Decisions Within Your Organization

Too often people dive into the data only to be lost in haze of data. This discussion will be pragmatic and immediately applicable to analysts, professional using analytics and managers of analysts across all industries.

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 or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.



Data Science and Big Data Analytics For Finance

Was recently asked to do a one hour talk on data science and big data analytics for Finance… so I created A Step By Step Process To Get More Value Out Of Your Finance and Accounting Data.

To get started, we will discuss at a high level what is analytics, big data and data science and how it can be used in Finance and Accounting to get more value out of all the numbers you have in your business.

Per Deloitte, “In today’s highly competitive business environment, companies need more from Finance than accurate financial statements and reports. They need forward-looking, predictive insights that can help shape tomorrow’s business strategy and improve day-to-day decision-making in real time. “

New IT applications and infrastructure such as big data technologies, predictive analytics, as well as modern mathematical methods are opening up new possibilities for gathering and processing large amounts of data and opportunities for generating value.

They keys to a sound data science and analytics approach to Finance include the following:

  • A Process for Using Big Data to Answer Business Questions
  • A Well Mapped Data Lake of all the Data Finance Needs
  • The Right Mix of Analytics Talent, Technique and Technology
  • A Top Down Embrace of an Analytics Centric Culture

By translating data into insights around financial statements and operations, the finance team can unlock and create new value. Being able to identify unrealized and often unexpected potential as well as quickly and decisively mitigating risk, data science and analytics can take your team to a new level of insight and performance.

This in turn supports the finance function to make better decisions by being able to understand what has happened and why, and then predict what may happen next. The end result is a strategy built on data and one with a much higher rate of success then ones based on intuition or gut feel.


The Fundamental of Business Analytics – Business Analytics is the application of talent, technology and technique on business data for the purpose of extracting insights and discovering opportunities. DMAIPH specializes in empowering organizations, schools, and businesses with a mastery of the fundamentals of business analytics. Contact DMAIPH now at or connect with me directly to find out how you can strengthen your business analytics fundamentals.

Help Me Pick an HR Analytics Topic…

I need your help. I am submitting a proposal to speak at an upcoming HR event being put on by my good friends at Ariva and need help determining which one sounds like the most interesting topic.

Option 1: Insightful HR: Integrating Quality Data towards Better Decisions

Most HR teams are surrounded by an almost limitless wealth of information locked inside business data. However, very few HR teams are consistently able to identify the right data at the right time and even fewer are able to integrate high quality data into the strategic decision-making process. The keys to data-driven decision-making are finding the right balance of analytics Talent, Technique and Technology. I will share a few of tips on how to align the 3 T’s in your business so that HR is able to empower data-driven decision making across the organization. For most HR teams, having good data is the easy part, distilling actionable insights is what makes all the difference

Learning Session Outline:

  1. Learn how to Identify the right data
  2. Discuss how to Inventory the data to gain actionable insights
  3. Discover how to Integrate the data insights into HR decision-making
  4. Unlock the analytics Talent needed for cutting edge HR Analytics
  5. Reveal key analytics Techniques to analyze the data
  6. Master the appropriate analytics Technology to optimize HR decision-making


Option 2: Driving Workforce Performance using Balanced Score Card Metrics and Analytics

Balanced Score Cards have been around since the 1990’s. HR teams across the globe have spent millions in trying to perfect ways to positively drive workforce performance based on metrics. So why is this still a topic of interest? Well, in most cases, it is because score cards and the metrics they report keep pointing us problems that are just not going away. Rising attrition, rampant job-hopping, and lower productivity are challenges we are all dealing with. In many cases, though the problem is not what we are reporting with our scorecards but the data we are populating them. As a whole, we are relying on metrics of the past to describe to us how we got here. What we need though is metrics of the future that accurately predict where we are going. I will share with you several of the metrics of the future I use for workforce reporting in my business and how we employ Predictive HR Analytics to optimize our scorecards.

Learning Session Outline:

  1. Discuss HR Metrics of the Past
  2. Learn about HR Metrics of the Future
  3. Discover how to use HR Predictive Analytics
  4. Design a Data-Driven Scorecard Template


Option 3: Strategic Problem-solving for Better Decision-making: Analytical and Critical Thinking in Motion

One of the biggest strategic challenges facing HR teams is transforming Big Data into actionable insights. The speed in which decision-makers need to act can often preclude the deep understanding of what value actual lies in the data. This causes misguided strategic planning and under informed decision-making across an organization. The best strategic solutions to quicker and more accurate decisions are found in a well rounded HR analytics approach. One that empowers critical thinking not just from the top, but down the ranks. Business Dashboards and Data Storytelling are two tools that should be used to quickly enable quick decisions in real time. I will show you how HR teams are able to keep one eye on strategic problem-solving while still taking care of daily challenges as they pop up.

Learning Session Outline:

  1. Discuss the challenges of HR Big Data
  2. Share HR Strategic Planning best practices
  3. Learn how to get Real Time HR Data
  4. Design HR Tactical Implementations using Analytics
  5. Align HR with Organization-wide Problem-Solving and Decision-Making

Let me know what you think asap!



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 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.

Top 5 Reasons to Attend the Digital Transformation Summit 2017

From the Global Chamber® Manila Newsletter

May 9, 2017

  1. Be inspired by an all-star lineup of speakers, who are already gaining significant benefits from adapting new technologies
  2. Learn about various technological platforms such as AI, IOT, Big Data, Analytics, and how it’s disrupting businesses
  3. Reflect, reexamine your company’s issues and goals, and set your vision and new strategy for the next decade
  4. Engage and network with executives and fellow thought leaders
  5. Empower the culture of innovation within you!

Not registered yet? It’s not too late to sign up!

I will be one of the speakers, talking about Data Storytelling. It is quite an honor to part of this awesome event! 🙂

Attend one or both days of the Digital Transformation Summit this May 24 and 25 at SMX Aura Convention Center.

Analytics in the Philippines 2020

The year 2020 used to sound like it was so far off in the future.

Yet, there it is on the calendar… just a little more then 2.5 years away.


2017 is the fifth year of my original five year plan for DMAIPH.

Now I’m starting to think about the next big strategic plan and for this iteration I’m gonna work with a 2.5 year plan. Because things are evolving so quickly when it comes to analytics in the Philippines.

For the rest of 2017 the big goal is to evolve our public and in-house training options with our partners at Ariva Events Management and the Rock Stars of Data.

At the same time we will work in solidifying several key business partnerships with the Analytics Council, APEC Project DARE, BASE (Business Analytics Society of Educators), Data Science Philippines and Global Chamber Manila.

There are so many amazing things happening right now in the Philippines that about a year ago seemed to be distant horizon stuff. Its both amazing and a little scary to think where things might be a year for now. Let alone 5.

17426122_1095825400562902_5936762267508985241_nSo the birth of the 2.5 year strategy plan is here.

By 2017, my goal was to make DMAIPH one of the top names in analytics in the Philippines. Mission accomplished.

By 2020, my goal is to make DMAIPH “the” top name for analytics training in the Philippines.

Come along for the ride!

Business Strategy with Analytics – Aligning a business strategy to drive an organization forward requires a robust analytics solution. Businesses who have good analytics tend to be much more profitable and efficient then ones that do not. DMAIPH has helped dozens of companies in both the U.S. and the Philippines with adding more data analysis in their business strategy. We have joined up with our key business partner PMCM Events Management to showcase our solutions at #TechToniPH in July 2017. Contact DMAIPH now at or connect with me directly to find out what we can do to help you align your business strategy with analytics.

Data Analytics or HR Analytics? Which Should I Attend?

Here at DMAIPH we offer a variety of analytics training solutions to organizations here in the Philippines.

Our two most popular offerings are Data Analytics and HR/Recruitment Analytics.

We get asked a lot, what is the difference.

Well, in general the Data Analytics classes like our Big Data Analytics & Business Intelligence training this coming May 18, are designed for a general audience.


HR/Recruitment Analytics classes like the upcoming HR Big Data & Recruitment Analytics training on March 14 in Ortigas, is designed for a much more specific audience of HR and Recruitment professionals.


Data Analytics attendees come from a wide range of companies and have perform a variety of job functions. The one thing they all have in common is that they are looking for data analytics techniques and technologies to help them get a handle on all the Big Data they have to work with everyday.

HR/Recruitment Analytics attendees are all working as part of Talent Management teams in HR, Recruitment, Training, Operations and other parts of an organization that primarily handle people data. So case studies, exercises and the lesson plan itself are all focused on how to use the people data in the business to enhance and empower people centric decision-making.


HR and Recruitment professionals can benefit a lot from attending the Data Analytics trainings and we generally have a few do just that. However, for a more focused approach to getting a handle on people data, the ones who attend the HR/Recruitment Analytics trainings will probably get a little more practical application to use when they return to the office.

Target Attendees for Data Analytics:

  • Data and Business Analysts
  • Managers and Supervisors of Analysts
  • Professional Staff who create reports and manage data
  • Decision-Makers who need more analytics

Target Attendees for HR/Recruitment Analytics:

  • HR and Recruitment Analysts
  • HR and Recruitment Managers and Supervisors
  • HR and Recruitment staff who work with a lot of people data
  • Data and Business Analysts who work closely with people data

Hope that helps you decide which one to attend.

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 or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.

Learn Analytics Leadership From The Analytics Council of the Philippines

The Analytics Council of the Philippines was founded in December 2016.

Our mission is to serve as a forum for furthering the training, teaching and use of analytics across the Philippines.

Our mission statement and upcoming events will be posted soon.


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 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 Time Is Now: Be Part of My Vision that is Analytics in the Philippines

The opportunity of a lifetime is before us… for those who really get analytics and using data to drive decision-making in the Philippines. Companies are so hungry for it. They need help knowing who to hire, how to train them and understanding just what a team of analysts can do.

To me the biggest challenge is the lack of experts. Good analytics talent is in really short supply.

One of the reasons I see is that so many Filipinos who would be great analysts are stuck in jobs that don’t allow them to be awesome.

If  you are curious, you work hard, you like to fix things, enjoy solving problems using data… but you are making less then 25K and stuck doing mostly admin work or running reports, then you are not maximizing your potential.

Thats the reason behind the video. Im speaking directly to you. Your talent, your potential is undervalued and misused.

Working for me with DMAIPH will change that.

Much better pay and benefits, great perks like travel and a company laptop. Getting to be part of awesome things as I take DMAIPH from a top name in analytics in the Philippines to THE top name.

Stop worrying about requirements and being loyal to a company that really doesn’t use you to your full potential.

Change you life forever, and do it today.


Analytics Jobs – DMAIPH hires, refers and connects Filipino analytics talent. The Philippines is at the center of the action when it comes to solutions to the global need for analytics. Working with DMAIPH to find work, hire analytics talent or set up analytics teams will ensure you are tapped into the best of the best when it comes to analytics in the Philippines. Contact DMAIPH now at or connect with me directly to find out how to take advantage of this booming opportunity.

Global Demand for Analytics and Data Science Talent

There are not enough analytics experts and data scientists to go around.

I say this a lot.

Just did a quick google search to put some recent data points and commentary to back up what I say.

The mass adoption of big data has seen companies across sectors scramble to hire enough data scientists to glean insights and drive decision making.

A decade ago, explaining data science to employers was challenging. Few people understood the value of a skill set that combines computer science, statistics, operations research, engineering, business insights and strategy and the impact it can have on a business.

But things have changed over the last five years. Not only has the term “data science” become commonplace, but data scientists have become highly sought after in the marketplace

According to a 2015 MIT Sloan Management Review, 40 percent of the companies surveyed were struggling to find and retain the data analytics talent. And the picture is starting to look even bleaker.

International Data Corporation (IDC) predicts a need by 2018 for 181,000 people with deep analytical skills, and a requirement five times that number for jobs with the need for data management and interpretation skills.

A report by McKinsey & Company is frequently referenced, stating that by 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.

Deloitte’s Analytics Trends 2016 report notes that while there is a rising number of university analytics and data science programs (more than 100 just in the U.S.), they nonetheless can’t crank out enough sufficiently trained people to meet demand.

Consequently, the report recommends that companies should:

  • Actively recruit on campuses with data analytics programs.
  • Develop internships and student projects both as a recruiting tool and to groom students for an efficient transition to the general business world and company culture.
  • Establish meaningful and rewarding career paths with an infrastructure in place most likely to interest and attract new talent.

In a recent blog post, Facebook listed a number of tips for students to prepare for such fields. Chief among them: “Take all the math you can possibly take,” including probability and statistics. (And while you’re at it, the company recommends, make sure you take some computer science, and try to squeeze in engineering, economics, philosophy of knowledge, and the latest brain research, too.)

One of the reasons I am so bullish about 2017, is that appetite for analytics and datas science is through the roof. Finally, everyone is starting to get serious about how to infuse their decision-making with more data.

DMAIPH specializes in empowering and enabling leaders, managers, professionals and students with a mastery of analytics fundamentals. Contact DMAIPH now at or connect with me directly to find out what we can do to help you acquire the analytics mastery you and your organization need to be successful in today’s data-driven global marketplace.






In The Information Age Knowledge Truly is Power > Power Up on Feb 21

SO many companies are trying to figure out how to get more valued of their data, but most dont know where to start.

Let me show you how on February 21, 2017 @ Discovery  Suites in Ortigas (Pasig City, Metro Manila).

E mail for more information about our data analytics seminar, so you can learn to unlock that elusive knowledge buried within the data of your business. 15442108_1022250554587054_3902952314714042475_n

Analytics Culture – The key to using analytics in a business is like a secret sauce. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization. A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.