Tag: DMAIPH

Analytics for the Small Business

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

No matter the size, scale or scope, every business generates a wealth of business data. Every business has an opportunity to uses that data to drive more intelligent decisions.

The primary people responsible for conducting analytics on the massive amounts of data we have today are analysts. Analysts are skilled in using various technologies and methodologies to identify, inventory and integrate large amounts of data quickly.

The term analytics can often be used interchangeably with statistics and data science. What separates analytics from disciplines like 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 business analytics that are generally used by owners, senior leaders and decision-makers to investigate problems, validate assumptions and to guide strategic planning. As a generalist, business analysts can help in a number of areas of the business.

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

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

As a result, there is a huge shortage of people who are skilled in working with data to answer questions and solve problems. This is why you have seen the number of analyst job postings increasing at an amazing rate. In the first few chapters of the book we will discuss the quickening demand for analytics talent and why it is so hard to find good analysts, especially at the small business level.

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

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A small business needs analysts to make sense of big data, manage the storage of the data, and know when to use which of the 3 types of analytics (descriptive, predictive, and prescriptive). To be effective, analysts need to have business intelligence tools to create data visualizations and build business dashboards.

If you need an analyst or want to be trained in analytics, connect with me and I can show you how to get started.

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.

Big Data Analytics: Using Business Intelligence Tools – 7/11/17 in Ortigas

A good analyst uses Business Intelligence Tools like Batman uses devices stored in his utility belt.

Per Wikipedia, business intelligence (BI) tools are “a type of application software designed to retrieve, analyze, transform and report data for business intelligence. The applications generally read data that have been previously stored, often, though not necessarily, in a data warehouse or data mart.”

Knowing what business intelligence tool to employ to what data set in order to conduct analysis and present your findings requires a thorough understanding of what tools are available and what they can do.

The key general categories of business intelligence applications include:

  • Spreadsheets
  • Reporting and querying software: applications that extract, sort, summarize, and present selected data
  • Online analytical processing (OLAP)
  • Digital dashboards
  • Data mining
  • Process visualization
  • Data warehousing

By far the most common business intelligence tool used is MS Excel. Having at least a intermediate masterly of Excel is a good start in understanding how business intelligence tools work.

Learning to run formulas, insert pivot tables and produce simple visualizations using charts and graphs give a foundation in how to take data and do something with it to inspire analysis.

Using Excel also teaches you how data needs to be structured, formatted and managed. You can’t run even basic analysis activities if your data is not encoded in a way that your tools can make sense of.

Once you have mastered the use of Excel then the logical next step is using BI tools that pull data from Excel. For example, Tableau is a BI tool that can extract data from Excel to build more powerful data analysis and visualizations.

BI tools can also be used to mine data from large data storage systems like data warehouses, data lakes and data marts. Again, understanding how data is structured in important. Knowing how queries are written (for example in SQL) to extract data is important.

If you are looking to get a better understanding of what tools you should be using to analysis the data in your business, you can join my next training seminar (July 11, 2017) in Ortigas.

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Analytics Training – 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.

The Analytics of Project Measurement

Peter Drucker perfectly summed up why big corporations rely so heavily on analytics when he said “What gets measured, gets managed.”

A successful analyst is able to remove the noise when analyzing data and isolate what matters to his or her organization.

With most companies collecting large amounts of data, you need to be both talented and disciplined to pinpoint key insights that can yield value.

In the corporate world, business analytics is widely use to track, analyze and report Key Performance Indicators (KPIs).

KPIs are rolled up to senior leadership to drive business strategy, identify and mitigate risk and to optimize operational productivity.

This approach is very similar to the way projects in the Measurement and Evaluation are tracked, analyzed and reported.

I would define measurement simply as the act of measuring to ascertain the impact, size, level of success, etc. of a specific data set.

There are many components to measuring projects making sure the project is on schedule, stays in scope, is not over budget, the quality of work is up to par, the end goal of the project remains relevant, and finally if the project is ultimately deemed a success.

A foundation in analytics will contribute to a more optimal and efficient process of measurement. Like businesses do with KPIs, you should start will identifying that are the key measurements your project will be judged on.

Once you know those data points, then figure out how to collect them, analyze them, and report them.

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At each step you can look for new data, validate existing data and blend data from other sources to add value to your measurement efforts.

Once you get to the reporting phase you can look for cutting edge techniques in data visualization and interactive reporting like dashboards to help educate and empower your audience.

That is how it is done in the corporate world where business analysts boil down massive amounts of big, often unstructured data into a few bullet points that allow decision-makers to take action.

When it comes to the Measurement of Project Evaluation, understanding various analytics solutions can make all the difference.

Analytics Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. 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.

Most Analysts Are Spending Only 20% of Their Time on Reporting

In many cases reporting is either something that is set and stone and just needs to be filled or there is a time crunch forcing quick and dirty reporting.

Little time is devoted to using the data for storytelling, maximizing data visualization and really providing the audience exactly what its needs.

% Finding Analyzing Reporting
10 12% 6% 33%
20 14% 10% 39%
30 20% 31% 24%
40 6% 14% 2%
50 31% 16% 2%
60 14% 18% 0
70 0% 0% 0
80 0% 2% 0
90 0% 0 0
100 0% 0 0
       

Ideally, at least a third of the time should be spent post data gathering and analysis to really give the end user of the data the things they need for intelligent decision-making.

A full one-third only spend 10% of their time on reporting, which to me means that there is a lot of the waste in their analytics process.

If you take a full 40 hour week to complete a high priority, high value report but only have Friday afternoon to boil down your finding into a report, it is highly unlikely that your report will fully capture the fruits of your labor.

However, if the time frame is even shorter… you have to do all this in one day, you are just getting to the reporting phase at around 3:30pm.

You have less than an hour and a half to summarize you methods and boil your findings into a few points.

Making sure you craft a compelling story to really influence decision-making based on intelligent data analysis is likely impossible.

Data is based on a survey I sent to 3,000 of my LinkedIn connections who are either analysts or work closely with data and analysis.

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.

 

 

The Self-Imposed Ceilings of Two Filipino Friends

I recently had two conversations on FB that happened simultaneously. Its amazing how we can do that now days, be engaged on two (or more different topics) with different people at the same time. But that’s a conversation for another time.

Right now, I want to talk about self-imposed ceilings people put on themselves.

One conversation was centered on being stuck in their current station in life.

The other conversation was about a resistance to embracing non-traditional learning methods.

In both cases, I was in empower mode. Trying to inspire both hope and self-determination to not continue down a path that seems locked in.

I will be the first to admit that as an educated, middle class, straight, white American male, there are few ceilings in life for me to break then just about every other demographic on the planet.

And most likely, my recognition of that at an early age has thrust me forward on a lifelong quest to help others who don’t have all the privilege I enjoy.

I am convinced that the blessing I have enjoyed in life need to be paid back in the form of me trying to uplift others to achieve success in life like I have.

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And through a series of circumstances (which feel like a divine plan) I have ended up focusing most of my empowerment efforts in the Philippines. I love working with students and young professionals interested in analytics careers. That is what I have devoted the 2nd half of my life too.

And both conversations are stronger reminders that I am doing exactly what I was created to do.

Holding the ladder, or offering a hammer, or identifying a new approach to breaking through self-imposed ceilings for Filipinos has over the years become my great cause.

My Analytics Story – My passion is solving problems by bringing together the best talent, cutting edge technology and tried and true methodologies. DMAIPH is all about empowering people towards better Decision-Making through the use Analytics and business Intelligence. This is what I do best. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly for a free consultation about getting more analytics into your career and your business.

Survey Results: Devote More Time For Data Analysis

Most Analysts Spend 50% of Their Time Finding Data

% Finding Analyzing Reporting
10 12% 6% 33%
20 14% 10% 39%
30 20% 31% 24%
40 6% 14% 2%
50 31% 16% 2%
60 14% 18% 0
70 0% 0% 0
80 0% 2% 0
90 0% 0 0
100 0% 0 0
       

Most analysts spend most of their time finding data.

Among other thing this can mean they are setting up data mining or data gathering process to look for the data or it can mean they reviewing their data for relevancy.

My experience is that when you spending this much time on the finding the right data phase it reflects a poorly structured data environment or a unfamiliarity with the data needed.

Dirty data is also a big time waste.

Experience is the best solution for challenges with finding data. The fact the finding phase % is so high speaks to both the explosion in the 3 V’s of Big Data (Velocity, Volume and Variety)  as well as the number of analytics newbies.

To me this should be no more than 20% of your time.

I expected finding data would be the biggest chunk, but was surprised that over 50% of my analyst connections using at least 40% of their time finding data.

If you have one day to answer a key business question, this means you are using your entire morning just finding the data.

When you get back from lunch you haven’t even started the actual analysis yet and the clock is ticking.

Data is based on a survey I sent to 3,000 of my LinkedIn connections who are either analysts or work closely with data and analysis.

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.

Quick Analytics Career Question

Greetings to You My Valued LinkedIn Connection,

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. With that in mind, I’d ask you to share your thoughts.

In your opinion, of the following ways to learn about analytics, which one has been the most important in your career path?

  • Formal Education – A degree or certificate in an analytics related field.
  • Self-Learning – Using trial and error and online resources.
  • Subject Matter Experts – Being trained/mentored by an expert.
  • Seminars/Workshops – Attending events to acquire new knowledge.
  • Technical Training – Attend training on specific technical areas.

Thanks for sharing. As always I will roll up all the replies I get and blog about it.

Dan Meyer, Analytics Champion, http://www.dmaiph.com

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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.

How Does a Foreigner Become a Successful Speaker in the Philippines?

“As a foreigner, how do you market and sell yourself as a speaker in the Philippines.”

A good friend of mine asked me that a little while ago.

After letting it rattle around in my head a bit, I came up with this reply.

As cliché as it sounds you have to be yourself. Although high powered, dynamic speakers can come to the Philippines to speak and make money, the ones who keep coming back are the ones who are authentic.

I also understand the heart of the Filipino. I am just one of a network of maybe several dozen Philippines based, non-Filipino speakers who routinely are asked to speak at conferences and seminars.  The fact that we have expertise in our fields of specialty is important, but I think what’s more important is that we all have chosen to live in the Philippines. That makes a significant difference.

To a person not familiar with the Philippines, who is just visiting to be a speaker, it will be much harder to really understand the heart of the Filipino. And therefore you would have to work much harder to be an impactful speaker. There will always be a lot of value in sharing knowledge and being a subject matter expert, but if you can’t put that in context of what it means to live and work in the Philippines, you will likely not succeed long term.

That said, I can point out a few things that I think would help a visitor who really wants to learn what it takes to know be successful in the Philippines.

Get outside the comfort zones. Most foreigners stay in relatively rich, safe and easy to get around areas in Metro Manila. To really get to know the Philippines you need to go to the palengke (market place), ride a Jeepney (local transit) and eat some street food (I love BBQ pork on a stick). Now, I recommend you go with a local your first time, but if you can talk about these experiences, you audience will be able to relate to you and have much more respect for you.

Traffic congestion is horrible in Metro Manila. Its an easy target for a shared experience. Saying you were worried you might be late because “Traffic sa Edsa” (traffic was bad on EDSA, the major north-south traffic artery in Manila) will also help. Actually just learning and using a few Tagalog phrases will make a huge difference.

Another suggestion I would make is don’t use up most of your time talking. Breaking into small groups discussions and having interactive learning activities will take the burden off of the audience having to always listen to having a fast-talking and intelligent, foreigner. It can be very intimidating for the audience when that happens. They end up getting, what Filipinos humorously refer to as “nosebleed”. Too much English, too fast and with too much information being the cause. So building in breaks from you speaking is another key to success.

The final suggestion I’d offer my friend, would be to be social. Mix with the audience before the event starts. Be ready to say Maghanda Umaga (Good Morning) when they come in. After the first session and you are on AM break while everyone is having snacks, be ready to mingle some more. And at the end, build in time to take a group photo and group pics. The Philippines is proud to be the most Social Media driven country in the world. Selfies reign. Embrace that fact and you will win a lot of support.

As for marketing, social media and mobile are of paramount importance. You have to push a lot of mobile friendly content through social media to really draw attention to you and your training. And the more that you do to show your interest in empowering Filipinos the more success you will have.

Hope that helps!

My Analytics Story – My passion is solving problems by bringing together the best talent, cutting edge technology and tried and true methodologies. DMAIPH is all about empowering people towards better Decision-Making through the use Analytics and business Intelligence. This is what I do best. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly for a free consultation about getting more analytics into your career and your business.

Big Data Analytics:Big Data—It’s Not Just Size > 2/21/17

I will be speaking on February 21, 2017 at Discovery Suites, Ortigas Center, Pasig City  on Big Data Analytics and Business Intelligence.

With that in mind, I wanted to go into a little more detail about each section, starting with…

Enabling Your Business to Make Smarter Decisions Section 1 : Big Data—It’s Not Just Size

Participants will learn to Describe the Importance of Effectively Analyzing Big Data in Business Today
. Being able to explain analytics to non-technical people is very important for any analytics solution to work.

We will also come up with a Data Map to Analyze the Big Data in your business. A data map allows you to see how data comes into the business, where it is stored and how it is accessed. Knowing you data environment is key to having clean and valid data in your analysis.

Another goal will be Establish Clear Objectives When Analyzing Big Data. Knowing exactly what your end user needs, how they want your reports and what will happen to the fruits of your analysis will allow you to be much more value to the business.

I will show attendees how to Recognize and Apply Various Data Collection Methods
. Way to often we get stuck by not having documented are process clearly. Having an easily traceable and repeatable process will make your analytics life much easier.

In addition, we will talk about how to Identify and Resolve Problems Associated with Data Collection
. Not all data is good data. In fact cleaning data can eat up a lot of time, but it’s a better alternative to reporting based on bad data.

We will discuss the difference between Data Warehouses and Data Lakes. Knowing how data is used in your organization, who has access to it and what they do with it goes a long way in making sure your entire organization becomes more data-driven.

Finally, we will determine when to use Data Blending in your analysis. How to take all of the Big Data you have both inside and around your business and bring them together to give you a 360 degree view of things is also very important to success.

Thats section one… i’ll over the next 3 sections over the next few days.

If you are interested in attending this training, I can connect you with my good friends at Ariva Events Management who will be facilitating the program.

Analytics Training – 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.

 

Most Analysts Spend 50% of Their Time Finding Data

Most analysts spend most of their time finding data.

% Finding Analyzing Reporting
10 12% 6% 33%
20 14% 10% 39%
30 20% 31% 24%
40 6% 14% 2%
50 31% 16% 2%
60 14% 18% 0
70 0% 0% 0
80 0% 2% 0
90 0% 0 0
100 0% 0 0
       

In fact, most analysts I know spend 50% of their time finding data.

Among other thing this can mean they are setting up data mining or data gathering process to look for the data or it can mean they reviewing their data for relevancy.

My experience is that when you spending this much time on the finding the right data phase it reflects a poorly structured data environment or a unfamiliarity with the data needed.

Dirty data is also a big time waste.

Experience is the best solution for challenges with finding data. The fact the finding phase % is so high speaks to both the explosion in the 3 V’s of Big Data (Velocity, Volume and Variety)  as well as the number of analytics newbies.

To me this should be no more than 20% of your time.

I expected finding data would be the biggest chunk, but was surprised that over 50% of my analyst connections using at least 40% of their time finding data.

If you have one day to answer a key business question, this means you are using your entire morning just finding the data.

When you get back from lunch you haven’t even started the actual analysis yet and the clock is ticking.

Data is based on a survey I sent to 3,000 of my LinkedIn connections who are either analysts or work closely with data and analysis.

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.