The 3 Pillars of Small Business Analytics

When I consult with small business owners, there are 3 areas where my guidance generally has the most impact. I call these areas the 3 Pillars of Small Business Analytics.

The first pillar is a Competitive Landscape. I have found that very few small business owners really have a handle on the competition.

A competitive landscape analysis will reveal threats and opportunities that generally are not obvious to a business owner who focuses most of his/her energy on running the business itself.

Some of the data points you can capture and analyze include pricing, location, business size, quality, scope of business, diversity of product offering and of course revenue. You would be surprised to find how easy it is to gather all this info.

Knowing where your products and services stack up against your competition is a key to prosperity. To achieve this understanding you need to use analytics.

The second pillar is a Demographic Profile. I have also found that very few small business owners really understand the demographics around their business.

A demographic profile analysis will illustrate how closely your customer base mirrors the actual population around your business. In many cases small businesses are not positioning their services correctly based on the opportunity in their market.

Data to include would be traditional demographic markers like age, race, sex, family status, financial status, economic state, etc. There is a ridiculous amount of data on the internet that can be mined free and easy.

Making sure your business is properly positioned to take advantage of your arket will ensure more long term success. The data is out there; you just need to know how to bring it into your analytics process.

The third pillar is Customer Insights. With the boom in social media, most small businesses have not figured out how to capture and analyze all the information being published and shared about their business.

Customer Insight analysis allows a business owner to stay on top of problems and identify how customers feel about their business quickly.

We all know how quickly things can go viral and having a good tool to capture customer sentiment in social media is generally the most overlooked aspect of running a small business.

Positive and negative reviews, trending items, number of likes, follows and shares, are all items that can be rolled into customer insights. You can combine this with surveys, focus groups and loyalty programs among other things to get a full picture of your business.

If you are a small business owner, decision-maker or analyst then focusing on these analytics pillars will make all the difference in the world.

And the best part, is they are all free and easy to bring into your business.

Small Business Analytics — The field of small business analytics is just starting to blossom as companies are looking for more data-driven decision-making to prosper in the age of Big Data. Sonic Analytics is at the fore front of providing analytics training, consulting and outsourcing options to small businesses. Contact us now at info@sonicanalytics.com or connect with me directly to set up a free consultation on how to get more analytics in your small business.

Dan Meyer heads Sonic Analytics, an analytics advocacy with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. 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.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in Data + Science Program and the Data + Women of Tampa Meet Up Group.

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How To Use Data To Make a Business More Profitable

I’m often asked how investing in analytics will make a small business more profitable?

In my answer, I often quote a few data points from a study of 400 companies that the consulting firm Bain conducted. They found the companies with the most developed analytics capabilities commanded a larger market share. In addition, they were twice as likely to be in their sector’s top 25% for profitability, and five times more likely to make swifter decisions than competitors. Considering these statistics, businesses that are not exploiting the potential of big data analytics are certain to fall behind.

Sometimes I mention a study by the University of Texas that analyzed data sets from Fortune 1000 corporations and measured the impact data analytics had on profits. Some notable findings included:

  • Companies could increase profit by more than $2 billion a year by making just 10% of available data usable.
  • Return on equity increased by 16% by making data more accessible.
  • When advanced reporting was deployed, return on investment increased by 0.7% — which is equal to $2.87 million in additional revenue.
  • Most importantly, a comparably low investment in data analytics was required to produce these significant gains.

But just quoting a bunch of statistics is far from compelling.

That’s one of the challenges of “selling” big data solutions to small businesses. All the stats are not very relatable.

It takes time to get to know a business in a way that a tailored solution can be designed. Every business uses data differently, so no two solutions are the same.

That is why I walk entrepreneurs, small business owners and leaders through an assessment. With this we link hinderances in their analytics process to solutions that mitigate the hinderances. We can also look for technologies to optimize the storage, analysis and presentation of data. Only then can we set targets to achieve the benefits mentioned in the Bain and UT studies.

And for me that is both satisfying as business coach and fun as a data nerd.

Dan Meyer heads Sonic Analytics, an analytics advocacy with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. 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. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in Data + Science Program and the Data + Women of Tampa Meet Up Group.

Bullish on the Bee

I know I’ve had an interesting career when I get excited about a news article announcing the merger of the Philippines biggest name in fast food with a California based coffee chain.

Why? Because I’ve trained business analysts from both companies and have some insights into how both of them work with their data.

For those of you who aren’t familiar with Jollibee, it’s basically the Filipino McDonalds but with a lot of Filpino-centric fast food options and a much cuter mascot. They dominate their home market and they have expanded around the globle. Where ever your find significant pockets of Filipinos, you can find a Jollibee.

As for Coffee Bean (CBTL) its a California based coffee and tea chain that lives in the Starbuck’s shadow. The have a fairy random footprint and really aren’t the first coffee of choice anywhere I know of.

But for Jollibee it seems like a smart move to acquire Coffee Bean. A lot of CB locations are in malls and business hubs are off to the side and not front in center. They couldn’t compete with the Starbucks for the same floor space and that reality makes them mostly an after thought.

Plus there is nothing special about their menu. Nothing bad, but nothing great either. Plus they have an ever growing amount of competition in a market (coffee) that may be peaking as younger customers like alternatives like milk tea and pearl tea.

On the other hand, Jollibee is an absolute monster of a competitor. They dominate the lower end of the market. Adding CB gives them a presence in more higher end market places. In a lot of malls and business districts, Jollibee is either not present or stuck in the basement with the other fast food brands. But CB can be front in center right. If Jollibee infuses some cash into improving the location of the CB stores, it should be pretty successful.

Plus Jollibee’s marketing is one of the best in the business. They consistently product content that is heartwarming, enchanting and really works. And the bee, that is one of the most beloved mascots I have ever seen. Way better then a quasi creepy clown or a very outdated southern colonel. If they can get people feel the same way about a cup of CB coffee they do about a yumburger, that its a golden marraige.

One more thing, I always mention when I talk about Jollibee. I can 100% guarantee, that in any room full of Filipinos, there is one thing they have all done. No matter their age, income, education.. .they have all attended a birthday party at a Jollibee. If you think McDonalds is a pure representation of middle America, than times that by 10 and you get what Jollibee is to the Filipino.

Now that all just on the outisde. On the inside, Jollibee has spent a lot on its internal data processing and decision making. They have crushed McDo in the Philippines based on an old school model of overwhelming numbers. But since then, they have gotten smarter. I saw that in their analysts and the way they were using data to solve business problems. There success is multifaceted, but a key pieces of it is their business culture is much more data-centric than their competitors. They have a deep and wide ranging strategy to keep adding complementary pieces (they bought the Philppines Burger King franchise last year) to the brands they offer… now they have added another potential winner.

Expectedly, Jollibee’s stock took a dive the day after the announcement on the Philippines Stock Exchange. Short term mindset and conservative investors worry its a mistake to get into the coffee business and many are still waiting to see how the Burger King acquisition plays out. But not me. Based on what I’ve seen, inside and out, I think its a shrewd move.

I’m quite bullish on the bee.

Time to invest in some shares.

https://www.cnn.com/2019/07/24/business/jollibee-coffee-bean-tea-leaf/

Dan Meyer heads Sonic Analytics, an analytics advocacy with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. 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. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in Data + Science Program and the Data + Women of Tampa Meet Up Group.

When the Game Changer Arrives

When you least expect it, that is when it happens.

When you stop looking for something, what you are looking for finds you.

At least that is what happened to me the past two days as I attend a couple of amazing events produced by Powerteam International.

48 hours ago I was in a bit of a funk.

Maybe more than a bit of funk. It was actually about fourteen months ago when I came to the conclusion that I needed a new mountain to climb.

I am one of those people who live for the journey, not the destination. When I check off all of the boxes I wanted to check off in a certain pursuit, I need to move on to something different.

So when I pretty much achieved all I had set out to do in the Philippines, I started looking for something new to do back in the U.S. My absolute favorite thing to do is talk about analytics in front of an audience hungry to level up with their ability to optimize data. It took 8 years, but I had pretty much become the biggest name in analytics training in the Philippines. So what is my follow up to that?

I spent the past year plus exploring how to get more involved in using analytics for civic responsibility and advocating for a more data-driven electorate. However, I just couldn’t find a place where I could pour my passion into.

Long story short, that brought me to the Small Business Expo in Orlando two days ago.

Having just spent a day exploring Disney’s Animal Kingdom, I was mentally well rested and ready to get out there and network as I was planning to basically rebuild my training advocacy that I had built in the Philippines, but now in North Central Florida.

One more point, before talking in depth about my Game Changing Day.

I took this private tour safari at the animal park. I was setting out on the deck overlooking the savannah section of the park watching giraffes, spring buck and really, really big horned cows as the sun started to set.

It was a beautiful moment. And honestly it was not cheap. It cost like $180. But man was it worth it.

I said to myself, I love this. I want to keep doing this kind of stuff. But I’m gonna need to make a lot more money if I want to really have the lifestyle I want.., to travel, to explore, to experience. In short, I need to be rich to get to the top of my next mountain.

Unsure how I would get there, but ready to start a new chapter I entered the Expo.

At first glance it was like any number of similar expos that I have been to over the years. A bunch of workshops, an exhibitor area, a main stage with a bunch of speakers I hadn’t heard of before. So I got into networking mode.

Attending a couple of workshops and walked half the exhibitor area, picking up a few ideas and 1–2 good leads. And then it all changed.

I attended a workshop by a guy named Bill Walsh. Yeah being a lifelong 49ers fan, that was the main reason I picked this workshop.

Before I knew it, I had filled up several pages of notes. Like how to use your book to build your business without even finishing the book. I mean Bill was giving me a lot of really good small business ideas that make a ton of sense. Another that stuck out was the idea of selling from stage. Honestly, the fact that I was getting all this for free was quite remarkable.

And then the sales pitch came. Like most speakers Bill had something to offer us. In this case a Public Speakers Camp. Five days of intense training to up your game as a speaker to really optimize your time on stage. Sounds awesome. The kicker, the price tag was kinda high… probably too high for 90% of the attendees.

So at the end, I hung around. Fired up by the pages of notes I had taken and seeing the potential that abounds in what Bill said. I really could focus more on my passion (public speaking) to offer what I am good at (analytics training) that will enable more of my prime motivator in life (travel).

I got a deeper understanding on the offer and started to sense it could be a game changer. It’s a significant investment, but if it pans out this could shave two years off of my business development plan. I could easily be making 7 figures in the near future.

The Platinum Speaker Program, five days with 20 like-minded individuals being taught by Bill. All kinds of help with refining your offer, polishing you message and picking up best practices. With a promise to be put in stage within 60 days. Sounds kinda too could to be true right?

That’s what most of us would think. And we would never stop thinking.

But I get it. I see exactly how this would benefit someone like me.

So I signed up.

But I still didn’t appreciate the scope of what I had signed up for.

After talking with Bill, I went back to the exhibitor area. And started to fit the pieces together.

Several of the speakers had done what I was doing. And one after another, as I spoke to them, Deann, Merri-Jo, Tina, Sheridan, Angel… validated my thoughts that this is something I should be part of.

The Small Business Expo is THE stage that the graduates of the program are put on. They get to talk about their area of expertise and offer their services while also sharing what Powerteam does for its speakers.

It’s brilliant.

I’ve been a speaker at many, many events where part of the speaker lineup (including myself) is working closely with the event organizers to develop additional post workshop activities to partner on.

But this one, the Small Business Expo series… it’s the best I have ever seen.

It will get me on stage, to build my advocacy, to grow my business and take me all around the world.

For me it is that game changer I had been looking for, but did not expect to find it here.

Boom! I got my mojo back.

Now off to climb a new mountain.

Dan Meyer heads Sonic Analytics, an analytics advocacy with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. 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. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in Data + Science Program and the Data + Women of Tampa Meet Up Group.

Finding the Right Data at the Right Time

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.

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Basil Rathbone as Sherlock Holmes

Several years ago I came across a book called the Accidental Analyst (*www.accidentalanalyst.com). The book opens with the questions, “Are you drowning in a sea of data? Would you like to take control of your data and analysis to quickly answer your business questions and make critical decisions? Do you want to confidentially present results and solutions to your managers, colleagues, clients and the public?”

Written by two Stanford professors, the book explores how and why people become good analysts and goes into detail about how to approach analytics successfully. After reading the book I was inspired to come up with a way to teach analytics to college students and fresh graduates.

The core of both the book and my program hinges on the ability of an analyst to find the right data at the right time. The authors suggested that identifying your data is where it all starts. Identifying exactly what you need to address whatever it is that you need to report.

Back at Wells Fargo, the single greatest attribute that I had 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 couple of 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.

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.
  • Whatever you do, the best way to prevent publishing or using bad data is to involve someone else. Not always possible, I know, but it’s the best way to go.

Another suggestion is to (1) get the data, (2) do some analysis, and then (3) step away for a while. Come back to it with fresh eyes. Don’t let our minds play tricks on us by making us see what we want to see and not what is really there.

I have seen several articles showing research that most time doing data analysis is actually spent cleaning data. In a lot of businesses, the data lake has become a data swamp, clogged with bad or unusable data. As the % of unstructured data increases daily, it’s easy to see how data swamps have become the norm. Even the most robust data collection and mining can run afoul if the data is not trustworthy.

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.

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DMAIPH – Decision-making, Analytics & Intelligence Philppines

Over the past few years businesses in the Philippines have invested heavily in big data, analytics and data science, but still have not achieved the expected outcomes of data-driven companies.

Based on our learnings from the 100’s of Filipino businesses and 10,000s of Filipinos who have taken part in DMAIPH Analytics trainings all across the country, we have crafted a proven,  non-technical approach to upskilling your team in analytics.

In 2019, we will be launching two new training programs: (1) Our DMAIPH Applied Analytics Master Class series for executives, leaders and decision-makers and our (2) DMAIPH Applied Analytics Boot Camp series for practicing analysts.

We will feature case studies of real Filipino run business, exercises based on actual analytics challenges being solved by Filipino analysts, and provide you with a copy of my book, Putting Your Data to Work, an analytics guidebook for the Filipino professional

Connect with us via our marketing partner, http://www.sonicanalytics.com to learn about upcoming analytics trainings and events. 

 

Staying Current with Analytics

Every few months I devote a day to discover what the current trends in analytics are. I do this both to refresh the slides in my presentation and to refresh my mind to see what I may have missed.

The amount of literature out there on analytics continues to blossom at an amazing rate, making it a true challenge to stay well versed on what’s hot and what’s not. I read a new analytics themed book at least once a month and I follow dozens of blogs, web sites and social media groups. Being well versed on what is current in analytics is a key to success.

Every time I go to list the top 5 analytics trends, I find that some things change and some stay the same. Ever since I have been writing about analytics, data visualization is near the top. Business dashboards continue to be a big need. Business Intelligence (BI) tools evolve and new ones’ pop up, but Tableau continues to be a market leader.

That said, we are still squarely in an MS Excel dominated world. Upwards of 80% of Filipino professionals I recently surveyed still use Excel as their primary tool for data analysis. And even the ones who have dedicated BI tools, still use Excel for 75% of their analytics work.  The adoption of BI tools is trending upward, but the curve is still very step.

Another trend that has been on the upswing is how more and more data is now unstructured data. The discussion on what is unstructured data and how best to mine it and integrate it with structured data has really been at the forefront for a while now. Going from 80% structured to 90% unstructured in just a few short years as mankind generates unprecedented amounts of data not easily captured in a database every day.

As October 2018, if I had to pick 5 current trends in analytics to talk about it would be:
(1) How to Conduct Impactful Data Storytelling,
(2) The Analytics and Data Science Talent Shortage,
(3) Using Big Data Analytics for Digital Transformation,
(4) Optimizing Data Warehousing and Data Lakes,
(5) Which Tool Is Best; Tableau or Power BI, R vs Python, etc

And thats is not even touching topics that are on the cutting edge like machine learning, artificial intelligence and augmented analyst. Although those are super important to an overall understanding of how we can optimize data, these topics generally are several steps down the road from where my audience sits. They are still trying to master the fundamentals of business analytics and introductory data science.

So I spend a fair amount of time looking for YouTube videos or TED Talks  on these topics  to add to what i read.

The amount of information available to consume if immense. I guess as we have more and more data and more and more tools to analyze data, we will have more and more people writing about how to use data.

Its a fun time to be the Data Guy.

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DMAIPH – Decision-making, Analytics & Intelligence Philppines

Over the past few years businesses in the Philippines have invested heavily in big data, analytics and data science, but still have not achieved the expected outcomes of data-driven companies.

Based on our learnings from the 100’s of Filipino businesses and 10,000s of Filipinos who have taken part in DMAIPH Analytics trainings all across the country, we have crafted a proven,  non-technical approach to upskilling your team in analytics.

In 2019, we will be launching two new training programs: (1) Our DMAIPH Applied Analytics Master Class series for executives, leaders and decision-makers and our (2) DMAIPH Applied Analytics Boot Camp series for practicing analysts.

We will feature case studies of real Filipino run business, exercises based on actual analytics challenges being solved by Filipino analysts, and provide you with a copy of my book, Putting Your Data to Work, an analytics guidebook for the Filipino professional

Connect with us via our marketing partner, http://www.sonicanalytics.com to learn about upcoming analytics trainings and events. 

More and More Frequently I Find What I Do Being a Form of Data Evangelist

The concept of a key influencer in a field being called ad Evangelist has been around business for awhile. I remember reading how early on, called their marketing people evangelists. One the comes to mind is Guy Kawasaki, who wrote about this in his book Enchantment.

When you have something that is either new or still young in its overall adoption cycle, you need evangelists to raise awareness and being the process of acceptance.

When it comes to data evangelism, there has definitely been a number of key leaders pushing for more and more adoption of analytics across various organizations. Bernard Marr is one I have followed quite extensively.

Based on the importance so many companies have placed on analytics in recent years, you would expect to find that just about every business leader buys into the concept of using data to drive decision-making.

To be sure, the tech giants and the banks have been on board for a long time and you have seen the adoption of large-scale analytics really start to have a lasting impact among major players in fields like professional sports, the entertainment industry and politics.

And nowadays, most social media platforms have lots of built in analytics that provide instant insight into what’s hot and what’s not.

However, both factual evidence and general observation are showing this is not necessary the case across the board. We still see headlines saying things like “62% of businesses have no data analytics strategy”.

In fact, many small and medium sized companies are still not where they could be when it comes to optimizing their business data.

Three of the biggest challenges they face are not really knowing what question to ask, how to manage the data so that it is well governed and getting the data to decision-makers seamlessly.

Terms like data interpretation, data collection, data governance, and data automation are not concepts easily articulated by many business leaders.

Having a data intelligent business culture is a lot more than just buying a business intelligence tool and putting it on top of Excel.

There needs to be solid foundation in all aspects of the data life cycle, a clean and well governed data lake to house all business data, and the ability to present data impactfully.

I have found that this is often the missing element when organizations are trying to craft an analytics strategy. They focus on technology or they go out and acquire high priced talent, but in the end they struggle because not enough of their decision-makers are on the same page.

As I train groups of professionals, both in public and in in-house trainings, I find most of the attendees do not have a solid foundation in how data is collected, stored and managed. They just know how to run reports, build simple dashboards and share data in ways that do not often influence the audience as intended.

So that is what I have found myself doing hundreds of times the past several years. Helping build that foundation. Connecting the dots between the various phases of the data life cycle and helping define the data value chain. Once an organization has that down, then going out and getting a fancy new tool or bringing on data science makes sense.

Being a data evangelist is all about getting not just 1-2 executives to buy into the power of analytics, but making sure the whole organization is in a place where they can truly optimize their data, become more business intelligent and compete on the same level as the big boys when it comes to making data-driven decisions.

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DMAIPH – Decision-making, Analytics & Intelligence Philippines

Over the past few years businesses in the Philippines have invested heavily in big data, analytics and data science, but still have not achieved the expected outcomes of data-driven companies.

Based on our learnings from the 100’s of Filipino businesses and 10,000s of Filipinos who have taken part in DMAIPH Analytics trainings all across the country, we have crafted a proven, non-technical approach to upskilling your team in analytics.

In 2019, we will be launching two new training programs: (1) Our DMAIPH Applied Analytics Master Class series for executives, leaders and decision-makers and our (2) DMAIPH Applied Analytics Boot Camp series for practicing analysts.

We will feature case studies of real Filipino run business, exercises based on actual analytics challenges being solved by Filipino analysts, and provide you with a copy of my book, Putting Your Data to Work, an analytics guidebook for the Filipino professional
Connect with us via our marketing partner, http://www.sonicanalytics.com to learn about upcoming analytics trainings and events.

Digital Marketing Analytics on November 24

In partnership with Cirrolytix, DMAIPH presents to you Digital Marketing Analytics Training happening on November 24 (Friday, 9AM – 5PM) at Astoria Plaza, Escriva Dr., Ortigas Center, Pasig City.

This course builds on the theory and foundations of marketing analytics and focuses on practical application by demystifying the use of data in marketing and helping you realize the power of visualizing data with artful use of numbers found in the digital space.

Session One: Digital Marketing and Analytics

  • Objectives of Digital Marketing
  • Data Value Chain in Digital Marketing
  • Data analytics roles in Digital Marketing
  • Analytics: Descriptive, Predictive and Prescriptive

Session Two: Data Visualization Primer

  • Which chart for which question
  • Time-series analysis in Digital
  • Composition analysis in Digital
  • Scatterplots and comparative analysis in Digital
  • Heatmap analysis in Digital

Session Three: Predictive market segmentation

  • Market segmentation concepts
  • Market behaviour analysis
  • Assigning customers to the right clusters

Session Four: Recommendation engines

  • Market basket analysis and product affinity
  • Predicting next best product purchases

Session Five: Marketing Attribution

  • Creating an attribution model
  • Predicting marketing to sales performance
  • Marketing model optimization and sensitivity

Session Six: Sentiment Analysis

  • Text analysis primer
  • Processing unstructured data
  • Predicting social media response

Session Seven: Digital Analytics Maturity

  • Review of analytic maturity levels
  • Creating a data-driven culture
  • Learnings from disruptive data-driven companies

 

Training Investment:

EXCLUSIVE OFFER! Pay on or before October 30, 2017
P4,000 + VAT/ Participant

EARLY BIRD: Pay on or before November 10, 2017
P6,000 + VAT/ Participant

GROUP RATE
P6,500 + VAT/ Participant

REGULAR RATE: Starting November 11, 2017
P7,300 + VAT/ Participant

Investment includes AM/PM Snacks, Buffet Lunch, Workbook, Copy of the Presentation, Training Materials, Raffle Prices and Certificate of Completion. 

To register: http://bit.ly/2pzFQxx

For inquiries: analytics@dmaiph.com | (02) 959- 8017 | 0917-799-2827 |www.sonicanalytics.com

 

 

 

Surfing the Storm: How the Philippines will Digitally Transform and Prosper in the Age of Big Data and Artificial Intelligence.

There is a wave of digital disruption fast approaching the Philippines. The initial impact of massive digital transformation is already being felt. Just look at what Grab, Uber and Waze did to the Taxi Industry.

The same thing will at some point impact every aspect of the Philippines economy from banking to retail to the BPO industry. Swift advances in technology coupled with unstoppable demographic forces are pushing the country forward at a quickening pace.

The big question is not when will digital transformation happen on a nationwide scale, but how much of what we currently see will survive the wave when we come out on the other side.

For organizations that are well prepared, they will see new avenues of revenue, benefit from more optimized ways of doing business and enjoy a much closer connection to their employees and their customers.

For businesses that are not well prepared, they will see constant disruption and many will likely not survive the transition to the digital age. All you have to do is look at who the world’s most profitable companies ten years ago and compare that list to the top companies today and you will see many examples of what happens to companies who did not adapt.

In the Philippines, call center capital of the world, with over One Million workers and at least 10% of the nation’s GDP, we see a massive threat from one of the keystones of digital transformation, artificial intelligence. As many as 70% of work force and an untold number of workers in supporting industries (well over an additional million Filipinos) will likely see their current job replaced or at least heavily impacted by technological advances.

There are things being done to address this and with the right solutions falling into place we can envision a massive upskill training of the workforce. However, when it comes to both digital transformation and artificial intelligence, the best way to mitigate risks and take advantage of new opportunities is by turning to experts that can guide a business through a process of evolution.

It is an unfortunate truth however, that in the Philippines, a significant shortage in data-driven leaders and tech savvy workers who can teach others is a key challenge.  Exacerbating the problem is that our current education system has not been as closely aligned with building data and tech skills as we would like to see.

Again, we see a lot of positive momentum in schools starting to offer data science programs and government entities updating curriculums, but they too struggle with the lack of experts who can teach the skills in high demand. This has led to a massive disconnect is the demand for data and tech skilled workers and the supply of qualified ones.

In addition, we have to recognize some hard truths about the way the youth of today and tomorrow learn. Besides updating our traditional education and corporate training models, we have to embrace new ways to learn. YouTube, Wikipedia, TED Talks, Coursera, the Khan Academy and an endless list of others… they are all lessons in digital disruption that can benefit us and guide us on our path.

So that challenge leads us to coming up with upskill training in data science, analytics, digital marketing, and a wide range of tech jobs for hundreds of thousands if not millions of Filipinos. On the plus side there are a lot of high quality solutions out there and a core element of thought leaders working on the skills problem. However, when you look at scale, there just simply is not enough of us currently to get close to the end goal.

The current ecosystem of industry associations, higher education institutions, government programs, independent training providers are all striving to meet the demand, but at times it is very fragmented. There is an overarching need for an umbrella organization to help unify the landscape. That’s what is behind the mission of the soon to launch Analytics Association of the Philippines.

As we bring together key players and influencers we can build an advocacy. Built on cooperation and a strategic vision to uplift the whole of the nation, we can tackle the challenges posed by the lack of experts and the skills mismatch. Together we can work to enhance the way we train, evolve the way we teach and use our influence to empower.

That’s my big vision for How the Philippines will Digitally Transform and Prosper in the Age of Big Data and Artificial Intelligence. We will use big data analytics as our surfboard to help us navigate the wave of digital transformation and come out the other side as an example of how a nation can come together and Surf the Storm.

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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.

 

DMAIPH will be at the Big Data Conference on Nov 15 – 2017 @ Enderun

http://conferences.enderunextension.com/conferences/big-data-analytics-summit-2017

This year’s theme is “Big Data Made Simple”

“Data is the new Oil” is the new mantra, and for good reason! The past decade has seen an amazing transformation of business. The top 5 largest listed companies by market capitalization are all from the IT sector: Apple, Alphabet (Google), Microsoft, Amazon, Facebook.  Contrast that with just five years ago when the list was dominated by energy and financial sector players.

These companies, who have now achieved global dominance, have one thing in common. They have mastery over data. The lesson: to thrive in business today, you must constantly innovate, and you must up-skill yourself and your team in understanding data through analytics.

My talk will be on “The Upskilling Challenge: Massively Scaling the Filipino Data Science & Analytics (DSA) Workforce

Data Science and Analytics Enabled Professionals are among the most in demand workers in the Philippines today. Additionally, the projected growth for DSA workers is estimated to be over 500,000 new DSA jobs in the next 5 years. For the Philippines to meet both surging domestic demand and take advantage of the global shortage in DSA talent, we will all need to take part in a massive upskill training program. I will outline the various roles required of us in this massive undertaking to digitally transform a significant percentage of the Filipino workforce. It should lead to some interesting conversations.

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Analytics Consulting – As a founding member of Gloabl Chamber Manila, DMAIPH specializes in a variety of analytics consulting solutions designed to empower analysts, managers and leaders with the tools needed for more data-driven decision-making. We have helped dozens of companies get more analytics in their business. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can tailor an analytics solution made just for your unique requirements.