Q3: What are some of the current trends in analytics?

Every few months I devote a day to discover what are the current trends in analytics. 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.

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 doing this, data visualization is near the top. Business dashboards continue to be a big need. Business intelligence tools evolve and new ones’ pop up, but Tableau continues to be a market leader. 90% of us still use Excel for 90% of our analytics work.

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Still a lot has changed. When I started this just 5 years ago no one was really talking about Big Data or Data Science. People just stared discussing using predictive analytics and now its all about prescriptive, even though most of us are still just doing descriptive analytics. For the newbie, descriptive = historical, predictive = forecast models, and prescriptive = really complicated models with a lot of variables to not just predict the future but to show a lot of alternatives as well.

Now if you talk to experts they make think nothing I have mentioned so far is new. But to the novice analyst or to the manager who really doesn’t care what’s it called, she just want’s results… its all new to them.

So I try each time to really find something really new not just to me but truly new to analytics. Six months ago that was the idea of using a data lake instead of a data warehouse. For those still unsure what a data warehouse is, it’s a collection of databases stored and/or connected centrally. Data lakes are used to describe the reality that 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 in just a few short years as mankind generates unprecedented amounts of data not easily captured in a database every day.

As of today, if I had to pick 5 topics to talk about it would be (1) Hiring Data Science and Analytics Talent, (2) Big Data Analytics, (3) Data Warehousing and Data Lakes, (4) Data Blending and (5) Mining Public Unstructured Data

Check back with me in a few weeks and this list will change.

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

Q2: Can you tell us what makes you an Analytics Champion?

Well, the first thing you should know about analytics is that there is no one right way to do things. Analytics is in many ways a new profession and up until very recently few people have seen being an analyst as career path. In fact the majority of analysts became so by accident.

Like in my case, most analyst are drawn to analytics because they like to solve problems, have an affinity for working with data, are tech savvy and above all else… insatiably curious. By the time I first had analyst in my title, I had already been doing analytics for several years.

Right out of college I found my novice skills with Excel, my interest in sharing knowledge and my ability to solve problems leading labeling me the data guy. There is nothing specific in my background that would suggest I’d become an analytics guru someday.

Majored in History with a plan to be a teacher. Obtained my Master’s Degree in Education. Started to teach. The school I was working at went bankrupt. Took a job with Wells Fargo Bank just to pay the bills and 15 years later I had amassed a wide range of analytics skills.

If you ask anyone with analyst in their job title, most of them have similar stories. Until recently you could not even get a degree in analytics as schools are just now offering analytics focused courses and degrees.

In 1998, I had the good fortune of being hired by Wells Fargo. The factors that contributed most to my success with the bank were two things inherit in the culture; its progressive use of data in decision-making and its accepted practice of moving up the corporate ladder by moving between departments.

If I had to pick one thing above all others that had made me a good analyst, it is my ability to quickly assess a problem and then identify the data needed to solve the problem.  For my money, finding the right data is the most important trait to have and also the hardest to teach. It comes out of being curious and letting that curiosity drive you to find answers.

For 15 years that drive lead me to add new skills, learn new technologies, and develop new methods to become a proverbial jack of all trades when it comes to analytics. I often describe myself as a super hero, analytics being my super power and the wide range of skills I’ve picked up being items on my utility belt.

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I am far from an expert on most of the ever increasing number of analytics tools out there, but I know what they can do and what they are good at. There are definitely a lot of people who are better at different aspects of analytics and no one can know it all. But in the end, I have become in many ways a guru of analytics.

I love talking about analytics, explaining it in layman’s terms, empowering people new to the concept, turning on the light in a dark room. I also love talking about prescriptive analytics models, using SQL code to write a complex join between data tables or figuring out what tool would be best use to build a business dashboard.

Providing people with the fundamentals of analytics is what I have been destined to do.

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

Q1: To start can you provide us with a basic overview of what is analytics?

Analytics is simply about looking for patterns in data to help answer questions. Most people use analytics within a business to help ensure more data-driven decision making. Businesses that use analytics are generally much more efficient and much more profitable then ones that don’t.

Analytics is generally employed by analysts who are skilled in using certain technologies and methodologies to identify, inventory and integrate large amounts of data quickly. What separates analytics from statistics and data science is generally the speed of the analysis and the focus on solving business problems.

The most common form of analytics is general business analytics that are 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. However, analytics can be used in an almost limitless number of business functions in specific areas like HR, recruitment, marketing, finance, and so on.

Analysts have been around a long time, but recent technological advances have both allowed us to produce and capture more data as well as give us the ability to analyze immense data sets quickly. Thus we are amidst a huge boom in the applications of analytics and the need for analytics talent across the globe.

Analytics is something just about every business leader is trying to figure out how to use more effectively in their business. As a result, there is a huge shortage of people who are skilled in working with data to answer questions and solve problems. This why you have seen the number of analyst job postings increasing at an amazing rate.

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

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

20 Questions with Dan Meyer about the Fundamentals of Analytics.

Recently I was asked to put together an FAQ about analytics. Based on my experiences from training people how to better use analytics, these 20 questions are the ones I most commonly get asked.

  1. To start can you provide us with a basic overview of what is analytics?
  2. Can you tell us what makes you an analytics guru?
  3. What are some of the current trends in analytics?
  4. Can you please describe the current state of analytics in the Philippines?
  5. What are some basic strategies an analyst can use to find the right data at the right time?
  6. Can you provide some tips on how to manage data?
  7. What exactly is data science and why the rapid rise of data scientists?
  8. Here something a lot of us are wondering, what exactly is big data and how can we use it?
  9. Can you please describe the concepts of storing data in a data ware house?
  10. Please talk about how, when and why we use should descriptive analytics?
  11. Can you next describe how to best use predictive analytics?
  12. Next please explain when and how we can use prescriptive analytics?
  13. A lot of us want to know what is business intelligence and how does it add value to analytics?
  14. What is data visualization and how does it help drive better decision-making?
  15. What is a business dashboard and how is it used in a business?
  16. Can you tell us more about current trends and hot new tools in social media analytics?
  17. Many of us work in recruitment or HR. What are some best practices and technologies used in HR and recruiting?
  18. Can you please talk about recent developments in higher education on how to train more analysts?
  19. How would you describe your approach to teaching analytics?
  20. So in conclusion can you explain a little more about your own method for using data to drive better decision making?

Each day for the next several days, I will take each question and elaborate and share with you my own personal FAQ on the Fundamentals of Analytics.

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The Fundamentals of Business Analytics – Business Analytics is the application of talent, technology and technique on business data for the purpose of extrating inights and discovering opportuniites. DMAIPH specializes in empowering organizations, schools,  and busiensses with a mastery of the fundamentals of business analytics.  Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out how you can strengthen your business analytics fundamentals.

 

How to Build Your Business Strategy

Business strategy is something that comes naturally to me. I’m good at anticipating challenges, at doing research to assess the risk and reward to multiple options and I love to use data to validate or refute initial findings.

Though easy for me, I have found that being successful with business strategy is not as natural for most business owners, senior managers and decision-makers.

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When I set up my first company, it was based on a year of research and lots of networking. When I launched my second business it was based not just on research and networking, but learning from the mistakes made the first time with financial planning and partner relationships. Now on my third business, having taken the best of everything that worked before and finding ways to mitigate the things that went wrong before.

Now, for most business leaders you can’t just hit the rest button every few years, but you should hit the reset button on your initial strategy. Adapt to changes in the market. Glean new insights on cutting edge technology. Stay on top of industry trends.

That’s the first key to business strategy. Understanding that it is a continual process that evolves. Many businesses fail because they don’t change with the times or because leaders just stick with what has always worked. That’s dinosaur thinking.

Any good business strategy has to adopt a continuous process improvement policy, using something Six Sigma or Lean to keep things form getting stale.

A good business strategy also seeks out new technologies that can disrupt both their business and their business marketplace. What was cutting edge and trendy six months ago most likely be as effective six months from now. Good Business intelligence tools that can do cool data visualizations and build business dashboards help us stay ahead of the game. I show a lot of people how to do this using Tableau Public, which is free and easy to learn.

The next key to business strategy is integrating customer insights into everything you do. If you don’t listen to your customers, if you can’t predict what they need, and if you have a strategy that puts profit before customer experience you will probably fail.

It amazes me when I see bad customer service, products that no longer meet customer needs being produced and unimaginative marketing campaigns. In this day and age, with access to our customers at unprecedented levels, there is no excuse for failing to get it right the first time.  We do a lot of surveying and engage using social media to stay connected.

The third key I include in my business strategy planning and consulting is understanding the competitive landscape. Knowing where we stack up in the marketplace, what are our strengths and weaknesses, what is hot and what is not… you need to put as much focus on what is happening outside the business as you need to know what’s happening inside.

Almost everyone I talk with about their competitors share with me one common feeling… I don’t really know what my competitors are doing. In fact a high percentage even struggle to identify who their key competitors are. We are active in industry organizations, online social media groups and attend competitors events to stay up to date.

Business strategy is a lot more than just business intelligence, customer insights, and competitive landscapes, but it is a good start. If you are able to add these to financial models and demographic data, you will have a well-rounded business strategy. And then its just a matter of keeping it fresh, resetting it every so often to make sure you don’t become a dinosaur.

Let me know if I can help. In the past few years I have helped companies of all shapes and sizes refine their business strategy using my keys to success.

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.

Fundamentals of Business Analytics > Taking A Big Step Towards Implementation

Working on a training power point for a week long Fundamentals of Business Analytics class I will be teaching in two weeks.

A full week of training on business analytics is a new challenge and will serve as a precursor to a full blown semester long class. The audience here is made up of faculty who will be teaching classes as prescribed by the 2013 CHED Memo on infusing business analytics into the business administration curriculum.

I will break the class down into 5 section, each covering some of the course and learning objectives outlined in the memo.Here are the topics:

Day One: Introduction to Business Analytics

Day Two: Big Data & Data Warehousing

Day Three: The Three Type of Analytics   (Descriptive, Predictive & Prescriptive)

Day Four: Business Intelligence, Data   Visualization & Business Dashboards

Day Five: Analytics & Decision-Making

Whether you dream of being an analyst, aspire to be a better analyst or hope to surround yourself with people skilled in analytics, you have to strive to be different.

You have to look at data as having the answers and analytics as the key to determining which answers are the ones you need.

Working from this starting point, we will build a knowledge base that will give us a solid grasp of the Fundamentals of Business Analytics (FBA).

That is the core message I will inpart on the audience as no amount of skills based training along will make a successful analyst. You have to have a context to work within and that will be the biggest challenge of all, as the students will not have any experience at all.

Looking forward to seeing how this goes… its a laboratory for testing out how to train the trainer to train analysts out of a population of 3rd year college students.

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The Average Keeps Getting Lower And I Refuse To Tolerate This – Updated

Updated on 10/27/16

http://sethgodin.typepad.com/seths_blog/2015/08/the-average.html

The average

 Everything you do is either going to raise your average or lower it.

 The next hire.

 The quality of the chickpeas you serve.

 The service experience on register 4.

 Each interaction is a choice. A choice to raise your average or lower it.

 Progress is almost always a series of choices, an inexorable move toward mediocrity, or its opposite.

I can totally relate to this. We are a society more and more inclined to settling for the average, and are even ok with it when the average trends lower.

One place I see it happening more than most is in talent management. The demand so far outweighs the supply of good talent; we keep lowering the bar.

Frist it was 4 year degree required. Then it was some college. Now its high school grad.

In just a few years we have gone from a high bar to also most no bar.

Same day hiring. No interview required. No test or assessment. Just how up and get a job.

I hate this.

This new reality taking hold across the Philippines  is deeply concerning to me.

It is unacceptable to me to be involved with anything that is just average, and I just get crazy when I see people doing things to lower the average on purpose.

There is another way.

If you have good analytics, you can be better at setting a realistic bar and not just going lower to meet requirements.

No more mediocrity. No more playing to the average and definitely purposely lowering the average.

I just refuse to tolerate it anymore!

Let me show you how to use the data in your business to turn things around.

Stop the insanity of fueling high turnover and low employee engagement that is lowering the quality of service to a dangerous place.

Who is with me?

If you are, the you will might enjoy reading my new book, Putting Your Data to Work. I can help you use your data.

HR & Recruitment Analytics – The recruitment and retention of top talent is the biggest challenge facing just about every organization. DMAIPH is a leading expert in empowering HR & Recruitment teams with analytics techniques to optimize their talent acquisition and management processes. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to learn how to get more analytics in your HR & Recruitment process so you can rise to the top in the ever quickening demand for top talent.

Implementing the CHED Memo on Business Analytics > How DMAIPH Can Help

In 2013, the Commission for Higher Education (CHED), the governing body for Higher Education in the Philippines, published a memorandum requiring accredited colleges and universities to establish a Business Analytics Specialization Program for Business Admin and IT students.

The objectives of the business analytics specialization track aims to provide Filipino students the skills needed for different forms of Analytics namely, Descriptive, Predictive and Prescriptive Analytics. This track enables students to identify opportunities and implement or enact solutions for which these analytics can be used to solve business problems to aid intelligence and informed business decision-making.

One of the analytics training solutions that DMAIPH offers, is partnering with schools  on curriculum and instruction enhancement.  We are also more than willing to meet with you to explore possibilities of collaboration.

The key areas DMAIPH can assist with are as follows:

  1. Consultation with Key School Administration Decision Makers
  2. Initial Faculty Training via a 1-Day hands on workshop
  3. Building Student Awareness by speaking at student events
  4. Guest Speaking in classrooms and academic events
  5. OJT Opportunities with DMAI and out partner companies
  6. Fresh Grad Training for analysts looking to start their career
  7. Provide a textbook for business analytics based on the CHED memo

DMAIPH is adapt at providing staff and students with an overview of the current trends in business analytics that drives today’s businesses, as well as providing an understanding on data management techniques that can help organizations achieve their business goals and address operational challenges.

The need for more analysts and professionals with analytics training in the Philippines continues to quicken at an amazing rate. On any given day you can see over 2,000 analyst jobs posted on jobstreet.com

The demand of analytics talent in the Philippines far outweighs the demand. Even with specialized tracks like the Fundamentals of Business Analytics starting up over the Philippines, more needs to be done.

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DMAIPH is uniquely positioned to help schools deliver on CHED’s memo and help supply the demand Filipino businesses, BPOs and Call Centers are asking for.

We have been doing analytics training, consulting and outsourcing in the Philippines since May 2012. In addition, DMAIPH has helped over two dozen companies bring more analytics into their business and have trained over 100 batches of analytics trainees.

Analytics Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. As a key parnter of the Data Science Philippines Meetup Group, DMAIPH champions the use of using data.

All across the world, companies are scrambling to hire analytics talent to optimize the big data they have in their businesses. We can empower students and their instructors with the knowledge they need to prepare for careers in analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can set a guest lecturer date, On-the-Job Training experience or other analytics education solution specifically tailored to your needs.

One Step Ahead In The Talent War Across Call Centers In Manila

https://www.recruiter.com/i/5-tips-on-cultivating-your-talent-pipeline/

Came across this interesting article on LinkedIn. I’m always curious about that people are saying about how to have success with recruiting, because its perhaps the top challenges in my industry.

Recruiting good call center agents in Manila has got to be one of the hardest requirements to fill anywhere on the globe right now. Awhile back I came up with a formula for what makes up a good call center agent, and not the just the surface skills, but he core competencies. Here is what I see:

  • Conversational English (20%) – Conversations follow rules of etiquette because conversations are social interactions, and therefore depend on social convention.
  • Customer Service (20%) – Customer service is a series of activities designed to enhance the level of customer satisfaction – that is, the feeling that a product or service has met the customer expectation.
  • Technical Training (20%) – Instruction to help agents use the systems and personal computers on which they are dependent to get their daily work done.
  • Product Knowledge (20%) – An understanding of a good or service that might include having acquired information about its application, function, features, use and support requirements.
  • Work Ethics (20%) – A strong work ethic is vital to a company achieving its goals. An example of someone with work ethic is a person who gets to work on time every day and always works long days to get the job done.

Of these, the hardest to teach is the fifth one, work ethic. So to me 5 ways to look for strong work ethic in a candidate are similar to the ones listed in the LinkedIn article. They are:

  1. Recruiting at events is more the just showing our brand, but our story out there. It’s a crowded field and we are just one, small voice. But it’s a enchanting story that get people excited about working with us.
  2. We too lean on Referrals for a high % of our new hires. There is nothing better than an endorsement for the job from someone doing the job.
  3. Internships/OJT/Trainees let us see how they work and letting them see what its like to work with my team. Great way to make sure it’s a good fit from both ends.
  4. Looking locally at schools and outside the industry places like retail and service jobs to attract new talent to the industry. The industry is full of job hoppers and money chasers, so going for them is not a good option.
  5. Staying in touch by sending newsletters, inviting to trainings, text blasts is important to us. Staying top of mind and keep telling our story.

So there you, go that’s how we are helping companies stay ahead of the game when it comes to the talent war going on in the call center industry in the Philippines right now.

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I am currently working on a book dedicated to helping HR & Recruitment professionals in the Philippines. The book should be ready by early 2017. In the meantime, you can check out my latest work, Putting Your Data to Work, for an overview of how to get started with analytics in your business. Connect with me and I will show you how to get a copy of my fast selling analytics guidebook.

HR & Recruitment Analytics – The recruitment and retention of top talent is the biggest challenge facing just about every organization. DMAIPH is a leading expert in empowering HR & Recruitment teams with analytics techniques to optimize their talent acquisition and management processes. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to learn how to get more analytics in your HR & Recruitment process so you can rise to the top in the ever quickening demand for top talent.

What Kind Of Analyst Do You Want To Be?

“The main part of intellectual education is not the acquisition of facts but learning how to make facts live.” – Oliver Wendell Holmes

An ANALYST is a person who analyzes and is skilled in analysis. Business Analysts (BA) are required to find, analyze and report business data to support business optimization.

The job functions of an analyst very greatly from business to business and even within each business job functions can vary from analyst to analyst. However at their core, you will find that just about anyone with analyst in the title has several things in common.

Based on the book, the Accidental Analyst, four character traits that most analysts have are:

  • PASSION for helping people solve real problems
  • KNOWLEDGE of the business being analyzed
  • EXPOSURE to thinking analytically and problem solving tools
  • EXPERIENCE using data to solve problems

In addition most analysts have certain personality types:

  • reflective
  • intuitive
  • deep-thinkers
  • and able to make quick judgments

These findings show a consistency across analysts no matter if their focus in on reporting, analysis and/or research, if they are working with small structured data sets or volumes of unstructured big data or if they are actively working to optimize the business or just providing information.

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Per CHED some of the analytics jobs graduates of the program should be ready for:

  • Jr. Business Analyst
  • Operations Assistant
  • (Web) Site Analyst
  • Marketing Officer
  • Jr. Operations Analyst
  • Financial Analyst
  • Supply Chain Analyst
  • Human Resources Associate
  • Training Associate
  • Administrative Associate
  • Accounting Analyst
  • Quality Assurance Analyst
  • Facilities Associate
  • Planning/Budget Analyst
  • Insurance Analyst
  • Social Media Analyst
  • Virtual Assistant
  • Customer Service Rep
  • Finance Analyst
  • Accounts Payable Analyst
  • Travel Analyst
  • Expense Analyst
  • General Accounting Analyst

This list is hardly exhaustive. On a typical day on jobstreet.com you will see hundreds of job titles that includes analyst in the title.

So I guess the next question to ask is, “What kind of analytics and analyst jobs interest you the most? ”

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