What is Business Analytics? In Most Cases It’s Simply Excel & 3 Bullet Points

Business Analytics refers to the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight, discover opportunities and/or drive business planning. *https://en.wikipedia.org/wiki/Analytics

The most common form of analytics is business analytics that are generally used by senior leaders and decision-makers to investigate problems, validate assumptions and to guide strategic planning.

Business analysts are therefore the most common type of analyst. If you do a job search on the title analyst, as many as half the posting will likely be business analysts. However, analytics can be used in an almost limitless number of business functions in specific areas like HR, recruitment, marketing, finance, and so on. Each one can have its very own analyst.

I was a business analyst for a large part of my career at Wells Fargo, but even before I had analyst in my title I was heavily involved in business analysis. Why?

Because I know how to use Excel.

It’s amazing how many people are scared of Excel. To many highly educated and successful business leaders across Corporate America, making a pivot table in Excel is like magic.

If you were able to take an honest survey of managers and supervisors across the country (world actually), you would probably be quite surprised by the high percentage who would prefer to find someone else to analyze their data.

That’s one of the biggest reasons business analysts are so prevalent.

Another is time.

I had a boss at one point that grilled into me the philosophy that no matter how much data you have, and how complex the analysis, it’s all worthless if you can’t boil it down to 2–3 bullet points.

That’s all he had time for.

3 Bullet Points!

So being a successful business analyst really require 2 skills; Excel and condensing data into 3 bullet points.

If you can do that, you’ll go far.

I did.

A business needs analysts to make sense of big data, manage the storage of the data, and know when to use which of the 4 types of analytics (descriptive, diagnostic, predictive, and prescriptive). To be effective, analysts need to have business intelligence tools to create data visualizations and build business dashboards.

I will cover all these concepts in more in upcoming my training classes. For a list of training events, please visit www.sonicanalytics.com

I’ll be conducting the following business analytics trainings over the next few months:

· June 5 in Ortigas (Metro Manila, Philippines)

· July 17, in Pleasant Hlll, CA (San Francisco Bay Area, US)

· August 22, in Bonifacio Global City (Metro Manila, Philippines)

· September 4, Rancho Cucamonga (North of Los Angeles, US)

Dan Meyer heads Sonic Analytics, an analytics training, consulting and outsourcing company with offices in Manila and the San Francisco Bay Area. With over 20 years in Big Data, Dan is one of the most sought after public speakers in Asia and has recently begun offering public training seminars in the United States.

We need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). So he has started an internship program under Sonic Analytics to empower the youth the use Analytic, plan Strategy and Present their views… ASP!

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized business looking to enhance their data-driven decision-making capabilities.

Getting Started With Analytics

The primary people responsible for conducting analytics on the massive amounts of data we have today are analysts.

Analysts are skilled in using various technologies and methodologies to identify, inventory and integrate large amounts of data quickly.

A general definition of an analyst is a person who analyzes or who is skilled in analysis. Analysts examine things carefully and in detail so as to identify causes, key factors, possible results, etc. generally using a process of identifying, inventorying and integrating data. *http://www.dictionary.com/analyst

I often hear that most analysts today feel like they are drowning in a sea of data. They need to know how to take control of their data and analysis to quickly answer business questions and make critical decisions. They want to confidently present results and solutions to their managers, colleagues and clients.

You most likely clicked to this page because you fit the description above. If that is the case, then you made a good decision. 😉

All kidding aside, I have designed a method to help you look at analytics in a way that will make data and analysis easier to understand and conduct. My trainings and published content will also instruct you on how to share data in a more dynamic and influential way.

Analysts have been around a long time, but recent technological advances have both allowed us to produce and capture more data as well as give us the ability to analyze immense data sets quickly. Thus we are amidst a huge boom in the applications of analytics and the need for analytics talent across the globe. Analytics is something just about every business leader is trying to figure out how to use more effectively in their business. To add to our challenge, the demand for good analysts is booming just as fast as the explosion in big data.

As a result, there is a huge shortage of people who are skilled in working with data to answer questions and solve problems. This is why you have seen the number of analyst job postings increasing at an amazing rate. In fact the quickening demand for analytics talent has made it very hard for most businesses to find good analysts.

If you are a business leader, manager, owner, and/or executive are not actively trying to surround yourself with analysts and if you are not infusing an analytics centric culture in your business, you will most likely soon see your business fail.

Keep in mind that analytics is about looking for patterns in data to help answer questions. Most businesses use analytics to help ensure more data-driven decision-making.

The primary people responsible for conducting analytics on the massive amounts of data we have today are analysts. Do you have analysts on your team?

Analysts are skilled in using various technologies and methodologies to identify, inventory and integrate large amounts of data quickly. Are you an analyst yourself?

If you answered yes to either question, but you feel you need more training for yourself or your team, you are not alone.

I will cover all these concepts in more in upcoming my training classes. The classes are designed specifcally for people new to analytics and for business leaders looking to upgrade the level of analytics in their business.

For a list of training events, please visit www.sonicanalytics.com

Upcoming Training Dates

· June 5 in Ortigas (Metro Manila, Philippines)

· July 17, in Pleasant Hlll, CA (San Francisco Bay Area, US)

· August 14, Rancho Cucamonga (North of Los Angeles, US)

· August 22, in Bonifacio Global City (Metro Manila, Philippines)

My goal with this series is to help you look at analytics in a way that will make data and analysis easier to understand and conduct.

DMAIPH HR Analytics Strategy Lead

HR Analytics Strategy Lead

DMAIPH is an international analytics firm with offices in both the U.S. and the Philippines that specializes in providing analytics themed training, consulting and outsourcing to its clients.

DMAIPH also conducts analytics training classes facilitated by our President & Founder, Daniel Meyer. Mr. Meyer is an author, public speaker and one of the most sought after analytics experts in the Philippines. Over the past 5 years, Mr. Meyer has trained 1,000s of Filipinos on a variety of analytics topics. We are currently building out a marketing and analytics team to grow the training business line.

We currently employee over 60 employees here in the Philippines who are assigned to providing customer service, email support and graphic design work for a U.S. based client. This account is a mature account, having been established in 2013. This specific role will work directly with the marketing and analytics teams of DMAIPH and support the broader HR efforts for the other DMAIPH lines of business.

The role of the HR Analytics Strategy Lead has four primary functions;

25% HR Generalist (Comp/Ben, Contracts, Recruitment, etc)
25% HR Analytics Technical Trainer
25% HR Analytics Projects
25% HR Analytics Resource Speaker

Job Requirements:

At least 3 years of of HR work experience.
Experience in the BPO industry is a plus.
Four-year degree holder in an HR, related course preferred, but any undergraduate experience is acceptable.
Intermediate MS Excel skills.
A strong interest in analytics; using data to driven decision-making.
Experience with corporate training, public speaking and/or classroom teaching strongly preferred.
An Above average level of English proficiency.
A pleasant attitude and professional appearance.
A curious mind. Successful candidates will be able to demonstrate how they enjoy solving problems and looking for innovative solutions.

Job Duties:

HR Generalist (25%) – serving as an HR Generalist (Recruitment, Compensation & Benefits, and Employee Engagement) for a team of 10-15 marketing and analytics employees. Will also work with HR staff from DMAIPH business partners responsible for other DMAIPH teams.

HR Analytics Technical Trainer (25%) – will work alongside other DMAIPH trainers to deliver content specifically designed for HR Analytics training activities. Initially working with content already developed, over time the lead may develop their own content under the guidance of senior DMAIPH staff.

HR Analytics Projects (25%) – will work on ad hoc and ongoing analytics projects aligned with industry and academic needs to massively upskill HR staff. Will conduct research, prepare reports and deliver findings to DMAIPH management and key business partners.

HR Analytics Resource Speaker (25%) – will be assigned speaking roles at various academic and industry events where as needed. Content will be provided. Over time will become a spokesperson and champion for furthering the use of HR analytics in the Philippines.

Please note that we are not expecting successful candidates to already have work experience in all of these areas. There will be a large amount of training, coaching and mentoring to get the Talent Management Analyst up to speed. Above all else we are looking for someone who is curious, who is flexible and who can take initiative.

Compensation:

Starting salary depends on experience, but the position base is targeted at 30,000 PHP a month.
After probationary period, health benefits and paid leave will be made available (probation can last between 1 to 6 months).
Additional performance based incentives can be achieved for filling training classes and meeting HR metrics goals.
Up to P2,500 in tax-free allowances.
Possible 5-10% performance bonus upon normalization.
Complete 40 hours of work. This is a full-time job commitment.
Annual performance evaluation and compensation increases.
Standard employee benefits as mandated by Philippine law.
Company lap top and mobile phone may also be provided.

Location:

This position is primary office based, but will be able to work remotely a significant % of the time once past probationary status. There will be a need to go into the field to attend job fairs, DMAIPH training events and occasional conference and workshops. There may also be a need to report to our Ortigas office for meetings and trainings. During the onboarding and probationary period, the HR Analytics Strategy Lead may be required to come into the office regularly until they are fully up to speed.

Interested applicants please send your resume and contact details directly to me at danmeyer@dmaiph.com

The Data Analyst Era

FIRST THINGS FIRST,

Do you think this is still the career era for nurses? The era of Physical Therapist? The Networking era? The I.T eras? Why don’t you try to type in google right now and search “Most in demand jobs in the future” and you will mostly find “Analyst” on every job description in demand in the future. The worst case is that you will also discover the worst job in the future, if you have been caught on that category. I say we are here to save you.

We are here to help you start building your future right now

And be the first one to learn and know what is in demand. We are here to supply you knowledge and provide you a strong foundation in analytics. We have the same curiosity when it comes to analytics? Trust me, I’m not a big fan of numbers, but I’m wrong, I never thought analytics also plays a role in giving us a perception through data visualization with the right purpose of using numbers. Not just some numbers you need to compute instructed by your professors to do so.

It’s all about numbers but.

It also equips with visualization with easy number to analyze. If you notice right now visualization plays an important role in our digital age today. Because we prefer to see imagery instead of computation, we prefer reading pictures instead reading books. Analytics have the same concept and there is a huge shortage of people who are skilled in working with data to answer questions to solve problems.

Therefore, you have seen the number of analyst job postings increasing at an amazing rate. Then why not apply it into our career, use this as an asset for you to innovate.

For those who are interested in or just beginning a career in data analysis,

here’s a few tips to help you get started,

Be willing to learn,

Being a sponge in learning data analysis (and with any field) can only reap the benefits. With data analysis, it’s important to start small and learn the basics and foundations before moving on and tackling bigger things.

Building a solid foundation of education in the beginning helps you know the basics and allows you to work on building your skills and knowledge as you progress through your career.

Don’t be afraid to ask questions and get help

You can’t do it alone, and not seeing out help can cost you opportunities as you progress through your career. Reaching out isn’t a sign of defeat or being unknowledgeable, it shows that you’re passionate and want to learn more but need the proper guidance to get you there.

Becoming a data analyst is a great career option for those who love to work with numbers with the right tools (We will guide you) to help you and to help companies, organizations draw conclusions and arm them with the information they need to make for decision making.

If you’re a beginner,

Don’t worry, we are here to teach you the important fundamentals of data analytics step by step in a layman’s term.

Now, it’s your big chance to participate in our upcoming trainings which focuses more on teaching young professionals like you.

DMAIPH is proud to present this 3-day Data Analytics training that covers different aspects of data identification, collection, storage, transformation, and analysis and involve hands-on use of common data management and analysis tools such as Excel, SQL and in depth learning of the tool “Tableau”, this is also designed for those with little to no prior experience with these tools.

Analytics Experts Dan Meyer (DMAIPH) and Dominic Ligot (Cirrolytix) have joined forces to offer a unique training focusing on both the Analysis and the Management of Big Data.

Attendees will learn how to identify the right data, how data can be efficiently stored, then transformed into a friendly form for analysis, and finally how data analysis can yield insights.

Come and Join Us!

Data Analytics 3.0

February 20 – 22 | 9:00am to 5:00pm

For inquiries: info@sonicanalytics.com | marketing@sonicanalytics.com

| (02) 959 – 8017 | 0917-799-2827

Register Now!

DATA Analytics 3.0: Big Data, Data Value Chain and Data Visualization with Tableau – February 20-22, 2018

Analytics Experts Dan Meyer (DMAIPH) and Dominic Ligot (Cirrolytix) have joined forces to offer a unique training focusing on both the Analysis and the Management of Big Data.

Attendees will learn how to identify the right data, how data can be efficiently stored, then transformed into a friendly form for analysis, and finally how data analysis can yield insights.

LEARNING SESSION OBJECTIVES:

Apply cutting edge technologies to organize, interpret, and summarize Big Data in your business.
Create a process to analyze data and identify patterns not apparent at first glance
Understand the components of The Data Value Chain: Ingestion, Storage,  Transformation, Analysis – and how they are all important to deriving value from data.
Learn database manipulation and processing basics using the Structured Query Language  (SQL)
Connect a data analysis tool such as MS Excel or Tableau to a database to be able to  perform analysis on processed and stored data

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
How 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:

Learn the best practices for organizing, summarizing, and interpreting quantitative data
Create a repeatable process for analyzing your data
Shorten the time between analysis and action to avoid “analysis paralysis”
Know how to get from hard data to well-reasoned conclusions

WHO SHOULD ATTEND:

Business Analysts, Data Analysts and other Analytics Professionals
Business professionals who are involved in day-to-day analysis of data.
Data analysts who are already performing analysis using spreadsheets but struggle with manual data processing.
Managers of analysts or staff who spend a significant amount of their time collecting analyzing and reporting data.
IT and Development Staff that work closely with business leaders and decision-makers.

Continue reading “DATA Analytics 3.0: Big Data, Data Value Chain and Data Visualization with Tableau – February 20-22, 2018” →

The Analytics Education Drive in the Philippines

Article by AAP Business Analyst, Ludilyn Pridas

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The Asian Institute of Management (AIM) recently conducted a free Master Class last January 15-17, 2018 about the application and use cases of Data Science to different fields. It was also a venue for them to provide more information and some insight about the relevance and competitiveness of their newly proposed course, the MS in Data Science (MSDS) Program. The Master Classes aimed to provide some perspective on role of Data Science in the business world today.

During the second day, AIM focused on the applications relevant to the Finance and Banking sectors. The session which was primarily conducted by the Institute’s MSDS Program Director Erika Legara, PhD. She talked about the place of data science in business and emphasized on the importance of the data scientist’s ability to communicate his/her findings to the business decision makers effectively. Let me highlight some of the things I found particularly relevant. A good data science team is crucial to leveraging on company curated data as most often than not, good amounts of historical data are left untouched or under-utilized. This is because people in the business are rarely equipped to handle data, more so transform and use it through modelling. Aside from this, it was also emphasized that analytical knowledge alone will not be enough to achieve success for the business. A data scientist should also have domain knowledge on the relevant business alongside his/her data analytics skill set and techniques. The combination of both is needed to effectively revolutionize one’s business. To sum it all, AIMs seminar was a great opportunity to get an introduction on data science and its relevance, as we know that the Philippines is now adapting to keep up with the trend.

In 2013, the Commision on Higher Education (CHED) released a memo outlining the guidelines and policies for the launching of specialized courses in business analytics targeted towards students who are taking up Business Administration and Information Technology. The goal of this endeavor is to prepare students for the big global analytics wave which will likely open up a lot of career opportunities. In fact upon the release of the memo, various schools expressed their interest to add this new program to their curriculum such as the University of the Philippines – Diliman, Ateneo de Manila University, De La Salle University, Asia Pacific College and University of Santo Tomas, among others. The visualization below shows the list of schools that have expressed interest in launching their own Data Science and Analytics programs. (Click the visualization below to open and interact with it in a separate tab).

Similar to AIM and the abovementioned schools, the Analytics Association of the Philippines (AAP) also aims to shed light on the relevance of analytics to businesses and the overall economy. As an enabling organization, we aim to come up with a unified ecosystem in the Philippines where industry, the academe, and practitioners meet and find synergies. By helping mobilize trainings and programs for Filipinos that focus on how to upskill in analytics with strong regard for business domain knowledge, we hope to facilitate the creation of a new breed of data scientists that can really revolutionize organizations. Quoting the popular magazine-format newspaper, The Economist, the world’s most valuable resource is no longer oil but data. In line with this and the objective of the AAP, we serve to help individuals optimize their practice and remain well-informed about the developments of the field to make their work more valuable to them and their respective organizations. We hope to complement the efforts of AIM and other educational institutions as we take on the same objective of upskilling Filipinos. The AAP undertakes this mission through massive and inter-regional projects throughout the Philippines, hopefully reaching the seams, and making it available to all who are eager to learn.

How Do We Make Globalization Work For Every Filipino? We Need To Massively Upskill!

In the Philippines we see many pros and cons of Globalization first hand.

The BPO Industry and the OFW culture has given millions of Filipinos access to jobs that provide higher salaries and economic opportunities that they might now have been able to find locally.

However, these two economic trends have also caused a brain drain, where any of the best and the brightest of the Filipino workforce is not engaged in helping better the Philippines directly.

It’s a double edged sword, but I for one think up until now the pros have been worth the cons and we have seen a growing middle class in the Philippines that didn’t exist 20 years ago.

However, the Philippines still remains on the whole a fairly poverty stricken country. Wealth distribution is a major problem. Many economic indicators show the Philippines economy being one of the shining stars of Asia, but on the streets of Manila the average Filipino is not really seeing the benefits of this growth. Still, its indisputable that for millions of Filipinos Globalization has been a benefit in raising their economic quality of life.

In addition, most of the jobs that OFWs and BPO workers take on are jobs that hard, manual process intensive, and do not require tech skills which cannot easily be replaced by A.I. There is little doubt that most of new jobs being created today require tech skills that most of the current work force does not have. The ability of the education system in the Philippines to prepare the next generation workforce with tech skills is also not where it could be.

Answers to these challenges will come with investing a lot more in upskill training and curriculum redesign to provide Filipinos with 21st Century Skills. And that is why I founded DMAIPH and am part of the AAP.

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. #AAPMoonshot #DataRockPinas

Hunting For Those Missing Elements – Massive Analytics Upskilling

One of the best things about bringing new people on board is that you tend to get pretty insightful feedback.

Let me show you why I really value a fresh pair of eyes as I try and lead my team of analysts in our advocacy to conduct massive upskill training in the Philippines.

Thanks to Ludz Pridas, a new business analyst on the AAP Analytics Team, for creating most of the content below.

On one hand it’s refreshing to know that all of these observations are things we are actively working on. On the other, it can be little frustrating that we haven’t worked them all out yet to a point where the whole team see the big picture.

So that is my first missing element I need to focus on, upping the level of internal communication. Not easy with a team that works virtually a lot. We use Trello, that helps. We have monthly strategy meetings, but probably need to have them a little more frequently.

Another “missing element for us to do a massive training is the opportunity for advancement, a llack of advances towards other training”… the ecosystems is very fragmented. As the number of training options and academic programs focused on analytics grows, so does the difficulty for someone looking to upskill.

Unification of the ecosystem is a top priority of the AAP as we set up partnership agreements with various other organizations. Advocating for standards built around the APEC Data Science & Analytics Core Competencies Map helps. But we need to do a lot of networking and storytelling to build a successful framework for someone to easily determine which upskill option is the right one for them.

We also have to both make things simpler and add more complexity. It is even harder to pull this off then it sounds. Most people looking for analytics training are pretty new to many of the concepts used by cutting edge analytics teams. And a lot of people needing the training simply aren’t numbers people. So we need to keep things fairly layman.

At the same time we need to use the framework to help people easily level up and progress. That cant all be done in person. So online tools will be essential, and there are a lot in the works. Also additional resources for self-guided learning need to be developed and shared.

And the final point that Ludz pointed out to me is “the lack of trainers to teach analytics, to guide the audience beyond our standard 2 days of fundamentals. It’s just not enough to learn all the stuff about analytics quickly.”

Yes, that is why we are gonna do a run of the Train the Trainer in Bacolod in Feb and are working to set up a fun of Train the HR Trainer early in 2018, and another run of Train the Trainer in Davao in April. A large part of my time this coming year will be spent growing the numbers of experts.

By my calculations, to train 500,000 Filipinos by the end of 2022, we will need about 10,000 experts to conduct various types of training.

As I said at the top, these are things we know. We just need to get better at talking about them to a point where everyone involved gets it. That’s who advocacies from one man shouting in the wilderness, to a society of learners working together to optimize the use of data across the county.

Interested in helping the AAP achieved our analytics moonshot? I hope so because it gonna take all of us.

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 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.

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.

Upskilling 500,000 Will Require 1,000 Trainers… Where To Start?

So when I start talking about the AAP Analytics Moonshot of up skill training 500,000 Filipinos in Data Science and Analytics skills over the next 5 years, one of the central questions I face is who will do the training?

Well, that’s easy. People who are right now doing analytics everyday. The hard part is getting the ready to be trainers. To know how to present material, assess if the material is being understood, handling questions and managing the training environment are not things a lot of professional analysts are used to doing.

So we basically take the Fundamentals of Analytics, and we turn the course into a train the trainer exercise, where we apply teaching methods and training skills to the 1,000 DSA experts. Then they can go forth and conduct trainings on a scale that gets us to the 500,000 goal.

So what is the Fundamentals of Analytics? Well, its a method I developed to teach fresh grads and young professionals the basics of business analytics in a short period of time.

The course material, when combined with case studies and hands on exercises, can take some quite unfamiliar with analytics and get them to shift their mindset to thinking data first.

I call my method, Getting IT: The 3 I’s and the 3 T’s of Analytics.

I borrow the concept of the 3 I’s from a book called the Accidental Analyst.

To train someone to be an analyst you need to make them aware of how to find the right data, how to analyze it and how to share it. The 3 I’s.

For analytics to work, you have to have a combination of good talent, technology and technique.

It’s really that simple.

As you discuss any analytics case study or approach any hands on exercise using real data, you plan the 3 I’s and you assess how to use the 3 T’s.

Now take someone who is already an analyst and get them to be able to explain this concept, have them draw from their own experience and their own set of skills, and you have the recipe for a moonshot.

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.

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