The Automation Storm is Coming… is Your IT-BPO Ready?

The number of posts like this one that talk about downsizing in traditional IT-BPO firms are getting more and more common every day.

Some naysayers think statements like this are just hyperbole, “saw their aggregate workforce shrink by seven the same year, highlighting a situation created by a perfect storm of tough business conditions and increasing automation.” But not me. I’m preparing for it.

And then there is this statement… that can easily be talking directly about the IT-BPOs in the Philippines. “This is a war of many battles being fought where smart service providers are aggressively implementing RPA (robotic process automation) into their own operations to drive down their delivery costs and reduce their own headcount. Hence, services providers will be hell-bent on destroying each other and the winners will be those who eventually succeed in winning more work than they lose amidst all the destruction”

I would add to this nationalistic pressures to counter the flow of globalization and “bring jobs back home”.

There are plenty of signs on the horizon that will spell doom for companies that aren’t ready for the coming storm.

Which is where DMAIPH can help.

DMAIPH has successfully set up Filipino analytics teams for over a dozen U.S. based businesses. Offering both virtual and office based teams that specialize in problem solving using data, new technology and analytics techniques is our strength. Finding and empowering analytics talent is increasingly challenging, but we have mastered Surfing Into The Storm and can show you how to succesfully set up a team.

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The Philippines is at the center of the action when it comes to solutions to the global need for analytics. Blessed with a solid foundation of young, educated and English speaking workforce, companies around the world are look for Filipino analytics talent to fill analytics positions.

DMAIPH was set up to facilitate these solutions and bring the talent and the business together. And that is exactly why I wrote Putting Your Data to Work, the first analytics guidebook designed specifically for the Philippines. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can help you take advantage of this unique global opportunity.

 

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Radio DWDD today @ 11am – The Analytics of Blogging

Blogging has been around for quite some time now, but many who venture into blogging do not realize who is reading their blogs, what are they reading, why are they visiting and reading their blogs, and so on.

So, today I have the honor of being a special guest on DWDD to help listeners go through the realms of the analytics of blogging.

The topics I plan on covering include:
– What is analytics?
– What title/position/employee is involved in anlytics?
– What university/college course do you take to learn analytics?
– What kind of companies uses analytics?

And Blogger-specific topics will include:
– Should bloggers learn to use analytics?
– Why use analytics in blogging?
– How does a blogger begin to use analytics?
– Can analytics make the blogger earn money?

Come join me and my good friends Raffy, Ron and Ian to discuss how to get more data into your blogging efforts. Its easy and for the most part its free.
#TODAY 20th March at 11:00AM, the BLOGGERS’ HOUR talks about Blogging and Analytics, and why bloggers need to start measuring their blogs beyond just views and hits. To help us understand how to do this is Analytics Expert Dan Meyer from San Francisco who has set up shop in the Philippines with his advocacy of teaching Filipinos the art of analytics.

Tweet or post your questions in advance using the Hashtag #BLOGGERSHOUR.

LIKE http://www.facebook.com/bloggershour to be notified when the Facebook LIVE stream begins.

Tune in to DWDD 1134 kHz AM or live streaming via http://www.dwdd.com.ph or http://www.ustream.tv/channel/dwdd-katropa-live.

TWITTER:

Listen to the #BLOGGERSHOUR talk radio show, Monday 20th March 11:00AM as we talk about blogging & analytics with Dan Meyer @BPOElite1

 

 

DMAIPH Help Wanted > Curiosity Above All Else

DMAIPH hires, refers and connects Filipino analytics talent. The Philippines is at the center of the action when it comes to solutions to the global need for analytics.

Working with DMAIPH will ensure you are tapped into the best of the best when it comes to analytics in the Philippines.

This is far more then just a simple office job and much more rewarding then your typical customer service or call center job.

Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out how to take advantage of this booming opportunity.

We are currently hiring for the following positions:

Office Based (in Ortigas)

  •  1 Senior Marketing Analyst1 to oversee company branding, training materials, and social media content publications. Potential opportunity to work partly from home. (Pay range is 25-30K depending on experience)
  • 1 Junior Marketing Analysts/Admin Assistants to assist with trainings, social media marketing and administrative office duties. (Pay range is 10-23K depending on experience)
  • 1 Hybrid Marketing/Recruitment Analyst to assist with recruitment when we have openings and to spend the rest of time on internet research, social media marketing and assisting with training.  (Pay range is 18-25K depending on experience)

All positions come with government mandated benefits, a competitive salary based on experience and with a large degree of job flexibility.

However, fresh grads, undergrads and even high school grads are encouraged to apply. DMAIPH does not discriminate based on age, appearance or social status.

To join the  DMAIPH team, send a resume now to analytics@dmaiph.com

If you are a curious person by nature, we want you!

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

Actionable Management Reporting

Except from my upcoming book on analytics for the small business owner…

One question I get asked a lot is what should someone do when they know the data they are reporting and/or using in their analysis is not the best data available?

  • Typically, Excel and PowerPoint are the primary tools used to provide management reporting to a company’s leadership. In the past few years there have been major technology innovations in business intelligence applications and data visualization software that have taken management reporting to a whole new level.
  • Recruiting has seen a huge increase in number and types of reporting tools available to deliver very fast and very detailed recruitment analytics.
  • This leads up to the concept of a business dashboard… which we will get to later.

No matter what part of the business you work in, the first thing to do is to define the current Key Performance Indicators (KPIs) being used in decision-making.  Often right off the bat, some of the KPIs being reported aren’t even being used.

You can do a simple survey, asking end users to rank in order of importance the KPIs they get. Also ask if the ones at the bottom are even useful or should they be eliminated if no one is using them.

At the same time you should be working on understanding what computations go into each KPI. Often we just do simple counts, total and averages that mask more important data. On the flip side, we tend to over complicate things with extravagant weighing and scoring. Either way, we need to make sure we know exactly what is being reported and how does the final data point come to its end state.

The next step is to look at the data architecture to make sure there is nothing happening upstream that might impact the data we are using in the KPIs. Before making changes to the KPIs we want to have the full view of what happens before the data gets to the end user.

Now we are at the point where we can start experimenting. What happens when we swap out data points? Or if we change a variable in a calculation? Or we pull the data from a different source? The questions are endless. Pick a few, make some changes in a test environment and start sharing the updated KPI data. See if it has more value with the end users.

Again, this shouldn’t be hard. But of course in many organizations a lot of consequences can result from a simple change to just one KPI. Spreadsheets may have to be reformatted, review processes may have to be updated, and dashboards may have to be redesigned. But in the end, what is more important? Making decisions with crappy data or setting a standard to let the reporting process evolve as the business evolves?

This come back to my point earlier, changing KPIs is as much sales as it is analysis… that you have to be ready to share a story, back it up with data, and really influence the minds of senior management that updating the KPIs makes good business sense.

If you are at a point where you are trying to figure out what KPIs aren’t working anymore or you need help in building a business case to change some KPIs, let me know. I’m here to help.

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Business Strategy with Analytics – Aligning a business strategy to drive an organization forward requires a robust analytics solution. Businesses who have good analytics tend to be much more profitable and efficient then ones that do not. DMAIPH has helped dozens of companies in both the U.S. and the Philippines with adding more data analysis in their business strategy. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out what we can do to help you align your business strategy with analytics.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Small Business, Big Data

“Without big data, you are blind and deaf and in the middle of a freeway.” Geoffrey Moore – Author of Crossing the Chasm & Inside the Tornado.

Without analytics, your company is vulnerable. However, just owning analytics tools isn’t enough. Extracting value from your analytics investment requires sufficient staff, well-defined processes, a clear business strategy, and leadership support.

All the Data We Create Each Day

Think about some of the things you do in your daily life. You get up, you eat, go to work/school, shop, do something for entertainment, bank, go online and do things on social media. Everything you do generates data. That data is captured in countless ways. And then it’s stored in countless places. And analyzed by countless numbers of people. And then used in countless ways by businesses to market, design, advertise, build, sell, and so on.

Every time you check your phone to see if there are any updates on Facebook you generate a lot of data for your phone manufacturer, your service provider and Facebook itself. Everything you like or comment on can be turned into a data point. The time, place and length of your connection all provide useful data. Get the point? It’s endless.

That’s big data.

In general, big data is thought of as all the data businesses capture and store in a database that they can use for business decision-making.

When you think of data collections that have millions and millions of rows of data like big bank transaction data, or traffic data for major cities, or all the statistics captured everyday across professional sports. Way too much for man to analyze without help from technology. That’s all big data.

Every business defines its big data a little differently. There is no one way to look at how best to manage big data because big data is such a living, evolving, never ending flow of information. It’s like lakes of water that are too big to swim across and too deep to dive to the bottom of without help. And no two lakes are alike.

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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. DMAIPH is at the fore front of providing analytics training, consulting and outsourcing options to small businesses. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation on how to get more analytics in your small business.

 

 

Current Trends in Small Business Analytics

Analytics as a discipline is constantly evolving. Advances in technology allow what was once expensive and difficult to now be at the fingertips of any business user.  The goal of analytics is “to turn data into information, and information into insight.” -Carly Fiorina, Former CEO of HP

Fiorina, highlighted some of the key steps in analytics. Reporting turns raw data into information that can be consumed by a company, and through analysis you turn information into insights. Taking her comments one important step further, you need to turn insight into action if you want to progress down the path to value with analytics.

Analytics is constantly evolving, so staying current is paramount to success.

Staying current is all about being strategic in time management. I have to stay up to date on current trends in analytics as well as with new analytics applications and technologies. Besides just staying current for my own benefit, I share relevant updates with my colleagues, clients and followers.

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 about once a month and I have well over 200 blogs, web sites and social media groups cataloged. So I like to think I’m pretty well versed on what is current.

If I had to pick 5 current trends in small business analytics to talk about it would be:

(1) Picking a Good Business Intelligence Tool,

(2) Mining Public Unstructured Data,

(3) Mapping Your Business Data Environment,

(4) Centralizing Various Data Sources,

(5) Understanding Data Science and Big Data Analytics.

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.

Small Businesses who want to optimize the use of analytics need to start with finding a good BI tool to help them make sense of their business data. MS Excel is the most common option to get started with.

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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. DMAIPH is at the fore front of providing analytics training, consulting and outsourcing options to small businesses. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation on how to get more analytics in your small business.

Global Demand for Analytics and Data Science Talent

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

I say this a lot.

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

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

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

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

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

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

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

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

Consequently, the report recommends that companies should:

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

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

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

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

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Sources

http://www.business.com/recruiting/big-data-big-problem-coping-with-shortage-of-talent-in-data-analysis/

https://techcrunch.com/2015/12/31/how-to-stem-the-global-shortage-of-data-scientists/

https://content.pivotal.io/blog/mckinsey-report-highlights-the-impending-data-scientist-shortage

http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation

https://code.facebook.com/posts/384869298519962/artificial-intelligence-revealed/

 

 

 

Most Impactful Ways To Becoming a Great Analyst

As a follow up to a survey I sent to several hundred of my LinkedIn connections a few months back. I sent the survey to connections working with data analytics on a regular basis.

I told them I was talking with a young professional just getting started in his analytics career. During our conversation we discussed what is most important to being a great analyst. I asked for their opinion, of the following ways to learn about analytics, which one has been the most important in your career path?

  1. Formal Education – A degree or certificate in an analytics related field.
  2. Self-Learning – Using trial and error and online resources.
  3. Subject Matter Experts – Being trained/mentored by an expert.
  4. Seminars/Workshops – Attending events to acquire new knowledge.
  5. Technical Training – Attend training on specific technical areas.
  6. Other – Please provide a brief description

 

Here are some pearls of wisdom from some of the replies I got… keep in mind these are all from well established analytics professionals:

“the most important in my career path is self-learning as most of the things we’re doing like journal reading and implementing algorithms needs less dependency with the people you are working with but requires collaboration with them and this requires you to solve problems by yourself and implement things by yourself but communicate them properly to the people you’re working with.”

If you don’t have the drive to do this, you will be an analyst in name only.

“Self-Learning – Using trial and error and online resources. World changes too fast for any of those others to matter.”

In the 15 years I have been doing analytics without any formal education in data-related fields I can say that this is 100% true. To be a great analyst you have to always been learning.

“your ability to tell the story behind all the numbers will make you an indispensable asset and an outlier in the increasingly growing population of analysts. Management almost always don’t have the time to read all the numbers in tables, spreadsheets, and reports, but they will surely appreciate instantly seeing the big picture presented in a “one-pager” report prepared by analysts. That almost always makes an analyst “great” in the eyes of the report consumers.”

Yes! If what you spend your blood, sweat and tears on does influence decisions, then you are working on the wrong place.

#2 and #3 have been important. Having a mentor to coach you side by side gives you accountability to progress in your work and learning curve. Naturally, this will push you to self-learn: trying out what you’ve learned and testing.”

Having a mentor is so important to help you get access to the actual learning experiences you need to evolve and excel as an analyst.

“spending time with the consumers of the analytics is especially important. Learning how they look at the data, and/or want to look at the data. What is important to them. What really matters. Too much non-essential information and you’ll loose them. Targeting their needs with relevance and precision will win them.”

Another big point that is often overlooked, if you are spending time producing repots and they don’t take customer insights into account, you have a big blindside.

“The most important thing to being a great analyst is to have a great sense of awareness. For me, self-learning has been the most important.”

I cannot imagine anyone being a great analyst if you didn’t have at least a bit of an ego mixed in with a Superman complex. Great analysts live to fix things.

It’s interesting to note that only 2 of the 50+ replies I got form surveying my LinkedIn connections said formal education is the most important.

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Analytics Survey – DMAIPH conducts quarterly analytics surveys to collect data on current trends in analytics. We specialize in surveys that assess analytics culture and measuring how aligned an organization is to using data and analytics  in its decision-making. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out more about how DMAIPH can conduct surveys to help you assess the analytics culture in your business.

 

 

Analytics in the Philippines: It Either Happens in 2017 or It Might Never Happen

A few years ago the then country manager of IBM Philippines, Mariels Winhoffer, kicked off a project to help push the Philippines towards being an analytics hub for the booming growth in Big Data and the Global Analytics Talent War. That was in 2013.

With 3 factors in play; the world calls outsourcing services of the Philippines, the exponential growth of Big Data the fact that the demand for analytics talent far out weighs the supply; it makes total sense that the Philippines step up and fill the need. Now in 2017 we have not really gotten much closer.

There are some schools offering some subjects in analytics related areas, but its far from being significant enough to meet the needs.

The government has given some attention to supercharging analytics, but the current outlook is not one where we will see enough to propel us forward.

Big BPO companies who are offering analytics as a service have tried desperately to fill seats,  but have generally seen limited success.

Now it seems that most Filipino companies have gotten a grasp of the power of a good analytics team and are trying to catch up.

As 2017 begins, there has never been as much thought about Analytics in the Philippines as there is right now. However, the big question is it too little to late?

To me 2017 will be the watershed year for Analytics in the Philippines. We will either make significant progress towards being both a global hub for analytics and a significant domestic user of analytics or we will find that the opportunity was just too challenging to tackle.

I’m all in on betting on the former… lets make 2017 the year that Analytics in the Philippines became a success story.

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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. DMAIPH was set up to facilitate these solutions and bring the talent and the business together. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can help you take advantage of this unique global opportunity.

Fast Data is the New Big Data

Starting to hear a new buzzword for analytics… Fast Data. Everyone knows about Big Data that is growing almost exponentially.

It is coming to us in mind boggling sizes, from all across the Internet of Things and quicker then ever before.  The traditional 3 V’s of data (volume, variety and velocity) don’t seem to be enough anymore to describe the challenges we have before us.

SO now we are looking for Fast Data solutions, which means getting the right data you need at the right time with minimal delay.

The concept of waiting for reports to be pushed to you so you can analyze them is so 20th Century.

Now its all about being fast.

I can show you a thing or two (or a dozen) about how to supercharge your analytics by moving past management repots and even past business dashboard to start looking for solutions that get data to the decision-makers without any middle man.

Big Data is now Fast Data. Don’t get left behind.

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Join me this coming Feb 21 2017 for a Data Analytics Seminar in Ortigas where we talk about how to take your Big Data and make it your Fast Data.

DMAIPH 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.

To that end, DMAIPH offers a wide range of analytics centric training solutions for professionals and students via public, in-house, on-site, and academic settings. We tailor each training event to meet the unique needs of the audience. If you need empowerment and skills enhancement to optimize the use of analytics in your organization, we are here to help.

Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation on which of our DMAIPH analytics training solutions is best for you.