Finding the Right Data

“Data! Data! Data! I can’t make bricks without clay!”

-Sir Arthur Conan Doyle

Sir Conan Doyle’s famous fictional detective, Sherlock Holmes, couldn’t form any theories or draw any conclusions until he had sufficient data. Data is the basic building block of everything we do in analytics: the reports we build, the analysis we perform, the decisions we influence, and the optimizations we derive.

Finding the Right Data at the Right Time

Back at Wells Fargo, the single greatest attribute that made me successful was my ability to size up how long it would take to deliver something. Knowing what data I would need, where I would find it and how long it would take to analyze it to come up with something useful made me somewhat of a wizard in the minds of the team.

Finding the right data at the right time requires one to first know ends and outs of their data. You have to know how the data is captured, where it is stored and how it makes its way to you. Knowing the data architecture in your business is the key.

So you have to get to know the people who know where your data comes from and how it gets there. Learn from them. Partner with them. Buy them doughnuts.

A few years ago I came across an analogy being used to describe data in a business. That of a data lake. A data lake is the living, breathing, evolving pool of all the data in a business. If you have a good data architecture, and you can navigate it fairly easily, then you have a data lake. Ideally, your business has data structured in such a way you can live off it. Data to a business is like water to living things… it sustains life

So once you have the lake mapped out, then you have to learn how to fish it. Knowing where the fish are biting is another key. Once you know what data you need, you have to know how to get to it quickly.

I can’t stress this enough. No matter how good you are at analysis, or what tool you are using to do the analysis, if you don’t have an understanding of what happens to the data before it gets to you then you are probably not drinking from a clean lake.

Business Intelligence tools help us here. As does coding languages to extract data from a database. These are your fishing tools. You have to practice using them to be good at getting the right data at the right time.

Another way to optimize your data search is to save your work. Of as I call it leave yourself breadcrumbs. Save the query. Cut and paste the code into a document and save it. Write down the steps. Whatever you need to do to replicate what you just did so you can do it again in the future without starting over from scratch.

So to recap, if you know data structure, you understand how data is stored and you leave yourself clues to do things faster next time.

Now the other part of the equation is knowing if the data you are using is the right data. Finding data quickly doesn’t do you any good if you bring back the wrong data.

So, how do you know if the data you are using is the right data to be using?

I can’t count the number of times I asked myself that question. In general, just about every new analysis or project or research or whatever it is you are using data for, you have to ask that question at some point.

Even data you have used a hundred times and comes from a highly trusted source needs to be scrutinized.

Now if you work with data every day in a familiar format, from the same source and with no changes to the data gathering and storage process you don’t have to spend much time validating it. Usually you will see problems when something just doesn’t look right when you are doing the analysis.

On the other hand, things get a whole lot trickier when you are using data from a source you don’t use often, or something has changed in the way the data is populated or if it’s the first time you are using the data.

When this happens, I have a few suggestions on how to validate the data.

· First off, pull the data, do your analysis and draw some conclusions. If it passed the eye test and it feels ok to you, then your job is just to validate it.

· One simple way to do this is pull the data again the exact same way to make sure you get the exact same data. Or change one parameter like the dates used in the query. See if that significantly alters the way the data looks and feels.

· Another option is to have someone else do the same thing independently. See if they get the same results you do. You can also find someone who knows the data to look over your work to see if it makes sense to them.

In the end, whatever you do, make sure you have the right data.

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)

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.

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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.

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.

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Analytics Leadership – DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) and specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization.

Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture. We have guided thousands of Filipino professionals to become better analytics leaders. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership. #AAPMoonshot #DataRockPinas

Analytics Jobs of the Future (1st in a Series)

Jobs of the Future for analytics will be mid-high level jobs and rapidly replace low-skilled analytics jobs that are now fairly common here in the Philippines. 

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Original content created by Jacqueline Belmonte, Assistant to the Executive Director of the Analytics Association of the Philippines. 

Analytics jobs have been increasingly changing as of late as technology changes, but how does Analytics perform in the larger landscape? This research is conducted to provide a view on Analytics as a growing job field in the Philippines. The research also aims to discuss Analytics as a recognized field today, used by 53% of companies to optimize their data into valuable insights for decision-making, targeting higher number by 2022.

In fact, APEC (the Asia-Pacific Economic Cooperation), predicts that analytics jobs will more than double in the Philippines in the net 5 years.

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The Era of Data has shifted the jobs of today and of the future as new technologies revolutionize the way how businesses deliver their products and services.

The customer experience has been the most important factor in retaining customers and is evident on how creative companies have been to stand among competition. Digging into customer’s activity will uncover customer behavior patterns that could be used in marketing.

In-demand mid-high skill & lucrative jobs are already starting to be significant in the market place here. Replacing the low skill jobs over time will be a challenge though, as the Philippines does not have enough talent to meet the industry demand hence, a looming analytics talent shortage.

A significant chunk of employed population with low skill and repetitive tasks will also be affected due to innovations like Artificial Intelligence if they will not upskill themselves to learning more complex skills like Data Science and Analytics.

The disruption of technology to the traditional business process can be mitigated with immediate communication of what’s about to happen and how to cope with it as an individual and an organization. Efforts will need to come from the industry, academe and government, working together

And that is where DMAIPH and the AAP come in.

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DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) and specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture.

We have guided thousands of Filipino professionals to become better analytics leaders. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.

Upcoming Events

Big Data Bacolod: https://web.facebook.com/events/718011925036202/

Big Data Analytics 3.0: https://web.facebook.com/events/1750508601681363/

Analytics for HR Managers: https://web.facebook.com/events/227273664479530/

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.

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Analytics Leadership – DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) and specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture. We have guided thousands of Filipino professionals to become better analytics leaders.

Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.

 

 

 

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.

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

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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.

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Analytics Leadership – DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) and specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture. We have guided thousands of Filipino professionals to become better analytics leaders.

Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.

I Need Analytics Training. Where Do I Start?

If you put yourself in the mind of the typical Filipino professional looking for analytics training, it is not easy to figure out where to start.

The ecosystem is not very unified, with a hodge podge of public training solutions available and only dozen or so schools offering analytics.

To someone who is relatively new to using big data to solve business problems, it can all seem very nosebleed inducing as well. Data science, predictive analytics and machine learning can all sound complicated and expensive.

So where do I start? That is a very common question I get asked when I talk about analytics in the Philippines.

The answer comes in three parts. First we need a framework to set certain standards and definitions of what a Data Science and Analytics enabled professional should know.

We base that on the set of 10 DSA competencies as defined by APEC’s Project DARE,

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(Props to my fellow AAP board member Sherwin Pelayo for the awesome images)

Since few people need to know everything about everything, it is best to figure out which competencies you want to focus on first.

Once you have an idea of where to start, then the next step is determine what kinds of job skills match the competencies you are looking to develop.

This can be done by determining where in the data life cycle you are looking have an impact,

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Once you have a firm idea of the skills you want to build and where they fit into the analytics life cycle of your business, then it is a matter of planning out how to level up.

This is where the AAP has take APEC’s competency list  and broken then out across the various job functions along the analytics life cycle by level of skills required.

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This allows us the ability to determine where we are in terms of analytics maturity and design the appropriate plan to level up.

And that will lead you to one of the AAP member companies for the appropriate type of corporate training or to one of the AAP member schools for the right higher education solutions.

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And that is how you can get a better idea of what type of analytics training is best for you and your business to get started with.

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.

 

 

My Big Data Initiatives for 2018

As 2018 comes to a close, I plan on spending the last few weeks of the year thinking about what comes next.

Priority #1 is expanding the advocacy for more data-driven decision-making in the Philippines.

There are two components to this effort; talking about analytics to as many Filipinos as possible and continuing to hit the road and spread the advocacy to as many provinces as possible.

Priority #2 is something new.

After six years of being pretty much 100% focused on analytics in the Philippines, I will be spending some of my time back in the United States. I will be volunteering time to help educate and empower the electorate to make more data-driven decisions when it comes to exercising their vote.

My call to action for 2018 will center around three #hashtags:

#DataRockPinas

#AAPMoonshot

#BetterBringData

More to come.

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.

 

So What Is #DataRockPinas?

It is a movement.

It is an advocacy.

It is a great cause.

#DataRockPinas is all about taking analytics training out of Manila and bringing it to the provinces.

#DataRockPinas is all about taking what has traditionally been an expensive, corporate only training and delivering it to hundreds of thousands of Filipinos.

#DataRockPinas is an initiative of several member companies of the Analytics Association of the Philippines. http://www.aap.ph

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  • Data Night UM (University of Mindanao)
  • Big Data 101 Davao
  • Davao Analytics Executive Roundtable
  • Mindanao Analytics Freelancers Meet Up

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  • Big Data Analytics & Data Value Chain
  • Train the Analytics Trainer
  • Data Night Bacolod

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  • Big Data 101 – Iloilo
  • Visayas Analytics Freelancers
  • Data Night Iloilo

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  • Big Data Analytics & Data Value Chain
  • Data Night Cebu 2018

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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.

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.

Moonshot: Unifying the Analytics Ecosystem Across the Philippines

(above image from zazzle.com)

For most of the past five years my efforts to upskill train Filipinos in analytics have been focused on Metro Manila.

A few times a year I’d get a chance to conduct a training, speak at an event or attend a conference outside the National Capitol Region, but for the most part analytics adoption has been slower in the provinces.

That has significantly changed in 2017 and the analytics focus around the provinces is primed to explode is 2018.

As I sit here today in Batangas for the mid week holidays, I can’t help but feel proud for the recent string of partnerships we have been able to build outside the nation’s capitol.

We were just in Cebu twice for a Data Night, a Big Data 101 training and an Analytics Freelancers Meet Up. We followed that up with a Data Night and several speaking engagements and media appliances in General Santos (Gensan to the locals).

Next month we will replicate these events in Davao with the contacts we made in Gensan. In December we will do the same and even add a Train the Analytics Trainer event with a key business partner in Bacolod.

And just yesterday we started laying the ground work for a Data Night and a Big Data 101 training in Iloilo for January.

Our plan for 2018 is to spend one week a month in a different province promoting our analytics advocacy, signing up members for the Analytics Association of the Philippines, conducting trainings with companies like DMAIPH, Cirrolytix, BagoSphere, and Spectres Solutions, using co-working spaces like A Space, the Mabuhay I.T. Park and Dream Space, and working with schools like the University of Mindanao and ACLC Davao.

At the same time we are building upskill training relationships back in Manila with companies like Wells Fargo, Accenture and Emerson, teaching analytics at schools like College of St. Benilde, University of Asia & Pacific, Enderun College and the University of the Philippines just to name a few.

We are also orchestrating the OJT experiences for students from schools like UST, De La Salle, Ateneo, Informatics, and URS in Rizal. Again, that is just the tip of the iceberg.

Simultaneously, we are building relationships with influential organizations like IBPAP, CCAP, PSIA, Young Engineers and HIMS to give talks on analytics followed up with upskill training for their members.

And last but not least we are having conversations with provincial LGUs, with central government entities like CHED, DeptEd and TESDA as well as with key members of the Senate to promote the large scale adoption of analytics across the Philippines to keep our workforce competitive in the increasingly data driven world.

I could go on and list more. The names above are just a sample.

When you set out to facilitate the upskill training of half a million people, you have to think big. And thing big is what we do.

That’s our moonshot.

Putting a man on the moon took a national effort from all parts of society to build a space age ecosystem capable of the previously unthinkable.

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Analytics Leadership – DMAIPH is a founding member of the Analytics Association of the Philippines (AAP.PH) and specializes in arming the Data-Driven Leader with the tools and techniques they need to build and empower an analytics centric organization. Analytics leadership requires a mastery of not just analytics skill, but also of nurturing an analytics culture.

We have guided thousands of Filipino professionals to become better analytics leaders. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to discuss a uniquely tailored strategy to ensure you are the top of your game when it comes to Analytics Leadership.

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