Grab a Big Data Surfboard or Get Left Behind!

“Land was wealth 300 years ago. So, the person who owned the land owned the wealth. Later wealth was in factories and production, and America rose to dominance. The industrialist owned the wealth. Today, wealth is in information. And the person who has the most timely information owns the wealth. The problem is that information flies around the world at the speed of light. The new wealth cannot be contained by boundaries and borders as land and factories were. The changes will be faster and more dramatic. There will be a dramatic increase in number of new multimillionaires. There also will be those left behind.”

Two things strike me in this quote by Robert Kiyosaki, author of Rich Dad Poor Dad.

The first is that it incapsulates the world we live in now. A world where information is power. We see this in practice today as the biggest companies now are the ones who use data the same way companies 100 years ago used oil. Nothing new here.

The second thing is that those who control the information will be successful and more importantly those who do, not, will be left behind. This my biggest fear right now. Watching so many businesses being left behind because they don’t have control of information.

Experts have talked about Industry 4.0, the Information Age, the power of Big Data, etc. ad nauseum. But people are not talking much about those being left behind. At least not in the context of being data-driven.

The past two years we have talked a lot about the Trump voter, feeling left behind financially. But we aren’t talking much about the data starved companies that employed a lot of them.

We all know that automation, innovation and globalization combined to spell the end of a lot of companies. But we don’t really talk about how the same companies ultimately ended up failing because they didn’t understand how to use their data better.

Big Data represents a massive wave of disruption that will continue to smash companies like a tsunami. Only those who can ride the wave successfully will be prepared. Analytics is our surfboard to make sure our organization doesn’t get left behind and that we are able to surf the Big Data wave.

Those that master analytics are the new multimillionaire that Kiyosaki mentions. They use data science, build predictive models and have figured out machine learning and artificial intelligence.

The ones that are left behind are the ones still using MS Excel to do rudimentary reporting. Even ones who have started using some basic business intelligence tools and are gaining valuable insight from their data will struggle against the bigger, more data-driven competitors that make multimillionaires of the best data surfers.

One way to know if your organization is in trouble is ask this one simple question. Does the way data is used inside your business look like the way data is used in your personal life? Can we do at work what we can do with Facebook, Netflix, Amazon, Google, etc. at home?

In most cases there is probably a pretty big gap. We process data at work in batches, sometimes only at month end. The analysis takes days and the reports we use to make decisions are only looking at the past. We know who our customers have been, but we are guess who they will be in the future. We hire people not on who is likely to bring the most value to our business, but the one with the best resume and the best interview skills. Does any of this sound familiar?

If it does than that sound you hear in the background, getting louder and starting to impact what you do is the wave of disruption.

If you don’t want to be left behind, crushed by big data, and you want your organization to keep making millionaires than you had better start learning to surf and to do that, you will need a high-quality board.

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.

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Seven Years in the Philippines

In January it will be seven years since I left Wells Fargo and moved to the Philippines to set up an analytics training company.

As year seven comes to a close, some reflection on how I got to where I am now would be beneficial to my strategic planning for the next seven plus years.

BPO Elite was my first venture and the idea was to train fresh graduates and young professionals to be analysts. It was a pretty successful first year in terms of developing a training approach to teaching the fundamentals of business analytics. Business wise we made a lot of missteps along the way that ended up dooming the business. But the training method was sound and I started to build up my credibility as an analytics experts in the Philippines.

Year One was all about validating that empowering people to be analysts was indeed something I could do successfully.

Year Two brought DMAIPH, Decision-Making, Analytics & Intelligence Philippines to life. Based on the business lessons learned from the shortcomings of BPO Elite I focused more on building an influencer network. Entering in to business deals where other people would market my trainings, freed me up to focus on meeting with influencers. The goal became to work within existing networks and expanding reach so that more and more people learned about the important of analytics with DMAI top of mind on how to train people to do it.

Year Two was the year I built the foundation that allowed me to become the top analytics training expert in the Philippines.

In 2014, I launched a separate business focused on the outsourcing of analytics and data heavy customer care solutions. For a large part of the year the analytics trainings took a back seat to setting up a team of 100 office and home-based staff for clients in the U.S. It wasn’t the reason why I moved to the Philippines, but the opportunity proved to be quite lucrative and allowed me to keep doing analytics trainings and speaking engagements without having to worry to much about that part of my business being profitable.

Year Three was all about doing what needed to be done to make a profit.

By 2015, the outsourcing business was running smoothly, and I was able to get back to doing a lot of partner trainings and public speaking engagements. I had the good fortune to now be one of the most sought-after public speakers on analytics in the region, speaking at schools, conferences, and tech event I was also able to start getting my message outside of Manila and being asked to do events across the country.

Year Four was the year where I my face (actually the credibility behind it) really started to sell.

2016 was a big year for DMAI. I published my first book, Putting Your Data to Work. My goal was to make a guidebook that Filipino professionals could use a both a companion to my trainings as well as a resource to convince decision-makers to invest in more training. I also upped my game with doing more public trainings and speaking at even bigger events. It was a very profitable and satisfying year.

Year Five was where I perfected training content and my public presentations. The book was really the lynchpin behind all that.

By 2017, I began calling what I do as more an advocacy than a business. I got involved in several large-scale analytics training initiatives not just in the Philippines, but across SE Asia. I helped found an association to further an analytics centric focus in the outsourcing industry and was even invited to give testimony before the Senate of the Philippines.

Year Six was where it all came together. I hit that sweet spot where I was really good at something I loved doing and I got well paid for it.

2018 could have easily been a redux of 2017. In fact, we started doing a lot of high paying in-house trainings, bigger and more successful public trainings and I was being invited to take part in all kinds of big picture initiatives across the region. But something changed. 2017 was the year where I had reached the mountain top. As I look back at 2018, I have accomplished everything I had set out to do back in 2012.

That said, I’m not done with the Philippines yet!

Already have 5 trainings booked for the first quarter of 2019. Including ones coming up in January and March. Here are the links to find out more:

https://www.sonicanalytics.com/data-analytics-20

https://www.sonicanalytics.com/data-analytics-30

I will always have a soft spot in my heart for my adopted home in the tropics as I also look to expand my trainings to where I spent much of my youth… the state of Florida. .

Will be laying some seeds the next several months and kick off my first trainings and speaking engagements in the Sunshine state early next year.

Let’s see where the next seven years of championing analytics takes me.

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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. 

 

The Key Ingredients of Impactful Analytics Trainings – Plan Your 2019 Analytics Trainings Now

When I first started conducting analytics trainings in the Philippines back in 2012, I was pretty much the only game in town.

There were very few companies offering any kind of big data management training, the terms data scientist and data storytelling were not part of the lexicon and 90+% of companies operating in the Philippines were pretty much just using MS Excel for their analysis and reporting.

You want to know what has changed in the past six years?

Not much, except that there are now at least a dozen companies offering analytics themed trainings, courses and certifications.

Sure they all sound like they are going to teach you cutting edge techniques to finally get a handle on all your big data, but in the end I keep hearing the same thing… the training I went to didn’t really give me anything I can use.

The training was too abstract, to high level, to dependent on one type of software, etc are the constant feedback I here from executives and managers who have been spending on outside training for their teams.

That plus it’s gotten quite expensive.

Analytics Executive Masterclasses, Big Data Boot Camps, Master’s Degrees in Data Science… they cost a lot when most companies are having to tighten their training budgets.

So the risk of wasting time and money on something that is not really going to move the needle is becoming a problem with all these analytics trainings.

With all the efforts of so many people to “help” the Filipino people level up their organizations analytics talent, you’d think by now we should be really competent when it comes to the use of advanced analytics techniques.

Unfortunately, that is just not been the case. There are definitely some pockets here and there were some world class analytics is happening, but for the most part we have to accept the reality that we have a long way to go to be on the level of Singapore, Viet Nam or China when it comes to analytics.

The one thing that has no changed at all since I started all this back in 2012, is the fact that most companies are still relying mostly on MS Excel for 90+% of their analytics.

Everyone wanted to run before they could walk. They through money at high priced trainings with cool sounding names promising to supercharge your business.

I think it’s time to face the reality, that while a few of our companies can do the big stuff, they are also sucking up all the available talent. It’s really, really hard to build a solid analytics team in your business without breaking the bank.

Unless you do what I do.

Get back to the basics.

Make sure everyone is able to really optimize the use of Excel.

Build a solid foundation in analytics that starts with aligning the data gathers, data managers, analysis builders and data presenters.

Make sure your dats is clean, easy to access, fresh, and shared.

Focus on what’s most important to the business.

Then you add on.

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So when you go out to find an analytics training for your team, look for some basic ingredients.

The 4 Key Content Ingredients to Analytics Training are:

  1. Data Sourcing
  2. Data Management
  3. Data Analysis
  4. Data Presentation

If its missing one or more of these ingredients, the training is going to leave you with a sense that something is missing. You will likely struggle to implement what you learned in class.

The 3 Key Trainer Ingredients to Analytics Training are:

  1. Knowledge
  2. Engagement
  3. Hands on Practice

 

Over the next couple of weeks I’ll be blogging about each of these ingredients, so that we you and your team sit down to plan your analytics upskill strategy for 2019 you’ve got all the angles covered.

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What is Business Analytics? In Most Cases It’s Simply Excel & 3 Bullet Points

Business Analytics refers to the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight, discover opportunities and/or drive business planning. *https://en.wikipedia.org/wiki/Analytics

The most common form of analytics is business analytics that are generally used by senior leaders and decision-makers to investigate problems, validate assumptions and to guide strategic planning.

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

I was a business analyst for a large part of my career at Wells Fargo, but even before I had analyst in my title I was heavily involved in business analysis. Why?

Because I know how to use Excel.

It’s amazing how many people are scared of Excel. To many highly educated and successful business leaders across Corporate America, making a pivot table in Excel is like magic.

If you were able to take an honest survey of managers and supervisors across the country (world actually), you would probably be quite surprised by the high percentage who would prefer to find someone else to analyze their data.

That’s one of the biggest reasons business analysts are so prevalent.

Another is time.

I had a boss at one point that grilled into me the philosophy that no matter how much data you have, and how complex the analysis, it’s all worthless if you can’t boil it down to 2–3 bullet points.

That’s all he had time for.

3 Bullet Points!

So being a successful business analyst really require 2 skills; Excel and condensing data into 3 bullet points.

If you can do that, you’ll go far.

I did.

A business needs analysts to make sense of big data, manage the storage of the data, and know when to use which of the 4 types of analytics (descriptive, diagnostic, predictive, and prescriptive). To be effective, analysts need to have business intelligence tools to create data visualizations and build business dashboards.

I will cover all these concepts in more in upcoming my training classes. For a list of training events, please visit www.sonicanalytics.com

I’ll be conducting the following business analytics trainings over the next few months:

· June 5 in Ortigas (Metro Manila, Philippines)

· July 17, in Pleasant Hlll, CA (San Francisco Bay Area, US)

· August 22, in Bonifacio Global City (Metro Manila, Philippines)

· September 4, Rancho Cucamonga (North of Los Angeles, US)

Dan Meyer heads Sonic Analytics, an analytics training, consulting and outsourcing company with offices in Manila and the San Francisco Bay Area. With over 20 years in Big Data, Dan is one of the most sought after public speakers in Asia and has recently begun offering public training seminars in the United States.

We need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). So he has started an internship program under Sonic Analytics to empower the youth the use Analytic, plan Strategy and Present their views… ASP!

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized business looking to enhance their data-driven decision-making capabilities.

Getting Started With Analytics

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.

A general definition of an analyst is a person who analyzes or who is skilled in analysis. Analysts examine things carefully and in detail so as to identify causes, key factors, possible results, etc. generally using a process of identifying, inventorying and integrating data. *http://www.dictionary.com/analyst

I often hear that most analysts today feel like they are drowning in a sea of data. They need to know how to take control of their data and analysis to quickly answer business questions and make critical decisions. They want to confidently present results and solutions to their managers, colleagues and clients.

You most likely clicked to this page because you fit the description above. If that is the case, then you made a good decision. 😉

All kidding aside, I have designed a method to help you look at analytics in a way that will make data and analysis easier to understand and conduct. My trainings and published content will also instruct you on how to share data in a more dynamic and influential way.

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 fact the quickening demand for analytics talent has made it very hard for most businesses to find good analysts.

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.

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

The primary people responsible for conducting analytics on the massive amounts of data we have today are analysts. Do you have analysts on your team?

Analysts are skilled in using various technologies and methodologies to identify, inventory and integrate large amounts of data quickly. Are you an analyst yourself?

If you answered yes to either question, but you feel you need more training for yourself or your team, you are not alone.

A business needs analysts to make sense of big data, manage the storage of the data, and know when to use which of the 4 types of analytics (descriptive, diagnostic, predictive, and prescriptive). To be effective, analysts need to have business intelligence tools to create data visualizations and build business dashboards.

I will cover all these concepts in more in upcoming my training classes. The classes are designed specifcally for people new to analytics and for business leaders looking to upgrade the level of analytics in their business.

For a list of training events, please visit www.sonicanalytics.com

Upcoming Training Dates

· June 5 in Ortigas (Metro Manila, Philippines)

· July 17, in Pleasant Hlll, CA (San Francisco Bay Area, US)

· August 14, Rancho Cucamonga (North of Los Angeles, US)

· August 22, in Bonifacio Global City (Metro Manila, Philippines)

My goal with this series is to help you look at analytics in a way that will make data and analysis easier to understand and conduct.

Dan Meyer heads Sonic Analytics, an analytics training, consulting and outsourcing company with offices in Manila and the San Francisco Bay Area. With over 20 years in Big Data, Dan is one of the most sought after public speakers in Asia and has recently begun offering public training seminars in the United States.

We need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). So he has started an internship program under Sonic Analytics to empower the youth the use Analytic, plan Strategy and Present their views… ASP!

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized business looking to enhance their data-driven decision-making capabilities.

So What Is #DataRockPinas?

It is a movement.

It is an advocacy.

It is a great cause.

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

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

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

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

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

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

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

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

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

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

Moonshot: Unifying the Analytics Ecosystem Across the Philippines

(above image from zazzle.com)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

That’s our moonshot.

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

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

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

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DMAIPH & Cirrolytix present Big Data Analytics 101 in Cebu on October 16!

Big Data was supposed to make things easier, but more often than not, it simply overwhelms us.

This program is for you if you feel like you’re drowning in data and unsure which data to use to drive your company initiatives.

The truth is that the amount of data available to help run your business is greater than ever before. To effectively use this information, managers must consider the practical side of big data…what matters to you is how do you grow and build a team to make smarter decisions.

Much of the information out there just discusses the promise of the data deluge. The challenge is not the volume of data but rather the judgment needed to use it.

This seminar goes beyond the qualitative side of data analysis to explore proven quantitative techniques and technologies for identifying, inventorying and integrating data, so that more informed and reliable business decisions can be made.

With that in mind, DMAIPH has created a learning session entitled: Big Data Analytics 101. Join us on October 16 in Cebu for the next run of the program.

Our resource speakers: Dan Meyer, Executive Director of the Analytics Association of the Philippines and Doc Ligot, Founder and CEO of Cirrolytix Analytics Consulting Services. Between them, Dan and Doc have over 40 years of Big Data Analytics experience in banking, finance, education, training and data science.

Learning Session Objectives:

  1. Apply Best Techniques and Cutting Edge Technologies to Organize, Interpret, and Summarize Quantitative Data
  2. Create a Process to Analyze Data and Identify Patterns Not Apparent at First Glance
  3. Master the art of Data Storytelling using Predictive Analytics

In this session, your organization will be able to use:

  • Specific skills to effectively frame the problem you’re addressing to uncover key opportunities and drive growth
  • Critical marketing steps of orientation necessary before engaging tools and technology
  • Strategies to simply and quickly amplify decision making by separating the signal from the noise
  • A framework for asking the right questions, allowing the ability to link analytics to business strategy

In this session, your participants will be able to:

  • Bring out patterns in data that were not apparent at first glance
  • Identify and explain tools for data analysis
  • Shorten the time between analysis and action to avoid “analysis paralysis”
  • Know how to get from hard data to well-reasoned conclusions
  • Understand the entire Data Value Chain from data collection to data visualization

Who Should Attend: All business professionals who need the basic tools to quantitatively and accurately analyze the mountains of data that come across their desk each minute of every day. Managers of analysts or staff who spend a significant amount of their time collecting, analyzing and reporting data.

Section One Title: Big Data—It’s Not Just Size

  • Ascertain the current state of Big Data Analytics in the Philippines
  • Describe the Importance of Effectively Analyzing Big Data in Business Today
  • Establish Clear Objectives When Analyzing Big Data
  • The Three “I’s” of Big Data Analytics
  • Assess Your Current Analytics Culture

Section Two Title: Unlocking the Data Value Chain with Big Data Analytics



  • Recognize and Apply Various Data Collection Methods
  • The importance of Good Data Governance
  • Identify and Resolve Problems Associated with Data Collection
  • Discuss the difference between Data Warehouses and Data Lakes
  • Utilize Business Intelligence Tools

Section Three Title: Moving from Descriptive Analytics to Predictive

  • Determine and Analyze Risk, Uncertainty, and Probability
  • Spot Patterns, Trends, and Fluctuations Through Correlation, Regression, and Descriptive Statistics
  • Understand when to employ Descriptive, Diagnostic, Predictive or Prescriptive Analytics
  • Build Data Models
  • Exercise: Building a Predictive Model Prototype

Section Four Title: The Art of Presenting Big Data



  • Discuss the concept of Data Visualization
  • Apply a Process to Present Big Data Clearly
  • Select the Appropriate Presentation Format to Communicate Your Findings Effectively to Your Audience
  • Case Study: Using Data Storytelling to determine the Best Team in NBA History
  • Use Findings from Big Data to Drive Decisions Within Your Organization

Too often people dive into the data only to be lost in haze of data. This discussion will be pragmatic and immediately applicable to analysts, professional using analytics and managers of analysts across all industries.

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 to learn which of our DMAIPH analytics training solutions is best for you.

 

Data Science and Big Data Analytics For Finance

Was recently asked to do a one hour talk on data science and big data analytics for Finance… so I created A Step By Step Process To Get More Value Out Of Your Finance and Accounting Data.

To get started, we will discuss at a high level what is analytics, big data and data science and how it can be used in Finance and Accounting to get more value out of all the numbers you have in your business.

Per Deloitte, “In today’s highly competitive business environment, companies need more from Finance than accurate financial statements and reports. They need forward-looking, predictive insights that can help shape tomorrow’s business strategy and improve day-to-day decision-making in real time. “

New IT applications and infrastructure such as big data technologies, predictive analytics, as well as modern mathematical methods are opening up new possibilities for gathering and processing large amounts of data and opportunities for generating value.

They keys to a sound data science and analytics approach to Finance include the following:

  • A Process for Using Big Data to Answer Business Questions
  • A Well Mapped Data Lake of all the Data Finance Needs
  • The Right Mix of Analytics Talent, Technique and Technology
  • A Top Down Embrace of an Analytics Centric Culture

By translating data into insights around financial statements and operations, the finance team can unlock and create new value. Being able to identify unrealized and often unexpected potential as well as quickly and decisively mitigating risk, data science and analytics can take your team to a new level of insight and performance.

This in turn supports the finance function to make better decisions by being able to understand what has happened and why, and then predict what may happen next. The end result is a strategy built on data and one with a much higher rate of success then ones based on intuition or gut feel.

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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.

Help Me Pick an HR Analytics Topic…

I need your help. I am submitting a proposal to speak at an upcoming HR event being put on by my good friends at Ariva and need help determining which one sounds like the most interesting topic.

Option 1: Insightful HR: Integrating Quality Data towards Better Decisions

Most HR teams are surrounded by an almost limitless wealth of information locked inside business data. However, very few HR teams are consistently able to identify the right data at the right time and even fewer are able to integrate high quality data into the strategic decision-making process. The keys to data-driven decision-making are finding the right balance of analytics Talent, Technique and Technology. I will share a few of tips on how to align the 3 T’s in your business so that HR is able to empower data-driven decision making across the organization. For most HR teams, having good data is the easy part, distilling actionable insights is what makes all the difference

Learning Session Outline:

  1. Learn how to Identify the right data
  2. Discuss how to Inventory the data to gain actionable insights
  3. Discover how to Integrate the data insights into HR decision-making
  4. Unlock the analytics Talent needed for cutting edge HR Analytics
  5. Reveal key analytics Techniques to analyze the data
  6. Master the appropriate analytics Technology to optimize HR decision-making

 

Option 2: Driving Workforce Performance using Balanced Score Card Metrics and Analytics

Balanced Score Cards have been around since the 1990’s. HR teams across the globe have spent millions in trying to perfect ways to positively drive workforce performance based on metrics. So why is this still a topic of interest? Well, in most cases, it is because score cards and the metrics they report keep pointing us problems that are just not going away. Rising attrition, rampant job-hopping, and lower productivity are challenges we are all dealing with. In many cases, though the problem is not what we are reporting with our scorecards but the data we are populating them. As a whole, we are relying on metrics of the past to describe to us how we got here. What we need though is metrics of the future that accurately predict where we are going. I will share with you several of the metrics of the future I use for workforce reporting in my business and how we employ Predictive HR Analytics to optimize our scorecards.

Learning Session Outline:

  1. Discuss HR Metrics of the Past
  2. Learn about HR Metrics of the Future
  3. Discover how to use HR Predictive Analytics
  4. Design a Data-Driven Scorecard Template

 

Option 3: Strategic Problem-solving for Better Decision-making: Analytical and Critical Thinking in Motion

One of the biggest strategic challenges facing HR teams is transforming Big Data into actionable insights. The speed in which decision-makers need to act can often preclude the deep understanding of what value actual lies in the data. This causes misguided strategic planning and under informed decision-making across an organization. The best strategic solutions to quicker and more accurate decisions are found in a well rounded HR analytics approach. One that empowers critical thinking not just from the top, but down the ranks. Business Dashboards and Data Storytelling are two tools that should be used to quickly enable quick decisions in real time. I will show you how HR teams are able to keep one eye on strategic problem-solving while still taking care of daily challenges as they pop up.

Learning Session Outline:

  1. Discuss the challenges of HR Big Data
  2. Share HR Strategic Planning best practices
  3. Learn how to get Real Time HR Data
  4. Design HR Tactical Implementations using Analytics
  5. Align HR with Organization-wide Problem-Solving and Decision-Making

Let me know what you think asap!

Thanks!

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HR & Recruitment Analytics – The recruitment and retention of top talent is the biggest challenge facing just about every organization. You really have to Think Through The Box to come up with winning solutions to effectively attract, retain and manage talent in the Philippines today. 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.