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.

 

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What % of Companies Can Both Afford Data Science Teams and Understand How to Use them?

Woke up this morning thinking about the future of analytics and data science in the Philippines.

I created this image to help visualize one of the biggest challenges. From my perspective the majority of companies out there don’t really understand data science and probably cant afford a traditional data science team.

who-can-afford-it

Best guess is ever 50% of companies operating in the Philippines aren’t yet at a place where data science is practical.

The smallest group are ones who both understand data science and know how to use it. These are the ones who are players in the data science consulting, training and outsourcing business.

Best guess its about 10% of the companies operating here and just about all of them are big corporations with lots of resources.

The next segment is the ones who do understand the value of data science, but don’t have the resources to compete for a the talent it takes to build a top data science team.

I’ll peg this at about 15%. But its  growing quickly. Awareness and adoption are actually ahead of the talent, as you see so many “data scientists” in name only out there filling open jobs right now.

That leaves the 25% of companies operating in the Philippines who have money and resources but just don’t know how to get started using data science and building a team. This is the target market of companies like mine.

DMAIPH has the capability to educate your managers and decision-makers on how to use data science to add value to the business. We can also train your team in the basics of data science to allow you to cultivate a data driven culture and promote from within to build a data science team. And we can also take some of the load off your shoulders in the terms doing some of the data science for you.

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

Big Data Analytics: Interpretation and Assessing Results > 2/21/17

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

With that in mind, I wanted to share a little more detail about each section, next up…

Enabling Your Business to Make Smarter Decisions Section 3:  Interpretation—Assessing Results

Participants will be able to Articulate the Importance of Accurately Interpreting Data. Having the right data at your fingertips is essential to being successful with analytics.

We will also be able to Determine and Analyze Risk, Uncertainty, and Probability. With so much data, you need to know what data to analyze when to stay ahead of the game.

I will also talk about how to Spot Patterns, Trends, and Fluctuations Through Correlation, Regression, and Descriptive Statistics. Analytics techniques like these will keep you on the cutting edge.

Attendees will be able to Understand when to employ Descriptive, Predictive or Prescriptive Analytics. Each type has a specific use, make sure you know when to use each one.

And finally we will discuss how to Build Data Models. You don’t need to have high priced, complicated software to do some basic data modeling. I’ll show you some examples.

That’s section three… I’ll go over the last section in the next few days.

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.

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Q8: Here’s something a lot of us are wondering, what exactly is big data?

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

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

That’s big data.

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

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

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

Data analysts and data s2.5.2cientists are the ones who know the lake and guide you across or build you a submarine to explore the bottom.

As I have mentioned in previous posts, knowing the data environment is key to your success. And big data just adds weight to that statement. If you don’t know where all the data is coming from, can’t be sure if its clean, then you will get lost in the deluge of big data.

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.