Finding the Right Data at the Right Time

Sir Conan Doyle’s famous fictional detective, Sherlock Holmes, couldn’t form any theories or draw any conclusions until he had sufficient data. Data is the basic building block of everything we do in analytics: the reports we build, the analysis we perform, the decisions we influence, and the optimizations we derive.

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Basil Rathbone as Sherlock Holmes

Several years ago I came across a book called the Accidental Analyst (*www.accidentalanalyst.com). The book opens with the questions, “Are you drowning in a sea of data? Would you like to take control of your data and analysis to quickly answer your business questions and make critical decisions? Do you want to confidentially present results and solutions to your managers, colleagues, clients and the public?”

Written by two Stanford professors, the book explores how and why people become good analysts and goes into detail about how to approach analytics successfully. After reading the book I was inspired to come up with a way to teach analytics to college students and fresh graduates.

The core of both the book and my program hinges on the ability of an analyst to find the right data at the right time. The authors suggested that identifying your data is where it all starts. Identifying exactly what you need to address whatever it is that you need to report.

Back at Wells Fargo, the single greatest attribute that I had that made me successful was my ability to size up how long it would take to deliver something. Knowing what data I would need, where I would find it and how long it would take to analyze it to come up with something useful made me somewhat of a wizard in the minds of the team.

Finding the right data at the right time requires one to first know ends and outs of their data. You have to know how the data is captured, where it is stored and how it makes its way to you. Knowing the data architecture in your business is the key.

So you have to get to know the people who know where your data comes from and how it gets there. Learn from them. Partner with them. Buy them doughnuts.

A couple of years ago I came across an analogy being used to describe data in a business. That of a data lake. A data lake is the living, breathing, evolving pool of all the data in a business. If you have a good data architecture, and you can navigate it fairly easily, then you have a data lake. Ideally, your business has data structured in such a way you can live off it. Data to a business is like water to living things… it sustains life

So once you have the lake mapped out, then you have to learn how to fish it. Knowing where the fish are biting is another key. Once you know what data you need, you have to know how to get to it quickly.

Business Intelligence tools help us here. As does coding languages to extract data from a database. These are your fishing tools. You have to practice using them to be good at getting the right data at the right time.

Another way to optimize your data search is to save your work. Of as I call it leave yourself breadcrumbs. Save the query. Cut and paste the code into a document and save it. Write down the steps. Whatever you need to do to replicate what you just did so you can do it again in the future without starting over from scratch.

So to recap, if you know data structure, you understand how data is stored and you leave yourself clues to do things faster next time.
Now the other part of the equation is knowing if the data you are using is the right data. Finding data quickly doesn’t do you any good if you bring back the wrong data.

So, how do you know if the data you are using is the right data to be using?
I can’t count the number of times I asked myself that question. In general, just about every new analysis or project or research or whatever it is you are using data for, you have to ask that question at some point.

Even data you have used a hundred times and comes from a highly trusted source needs to be scrutinized.

Now if you work with data every day in a familiar format, from the same source and with no changes to the data gathering and storage process you don’t have to spend much time validating it. Usually you will see problems when something just doesn’t look right when you are doing the analysis.

On the other hand, things get a whole lot trickier when you are using data from a source you don’t use often, or something has changed in the way the data is populated or if it’s the first time you are using the data.

When this happens, I have a few suggestions on how to validate the data.

  • First off, pull the data, do your analysis and draw some conclusions. If it passed the eye test and it feels ok to you, then your job is just to validate it.
  • One simple way to do this is pull the data again the exact same way to make sure you get the exact same data. Or change one parameter like the dates used in the query. See if that significantly alters the way the data looks and feels.
  • Another option is to have someone else do the same thing independently. See if they get the same results you do. You can also find someone who knows the data to look over your work to see if it makes sense to them.
  • Whatever you do, the best way to prevent publishing or using bad data is to involve someone else. Not always possible, I know, but it’s the best way to go.

Another suggestion is to (1) get the data, (2) do some analysis, and then (3) step away for a while. Come back to it with fresh eyes. Don’t let our minds play tricks on us by making us see what we want to see and not what is really there.

I have seen several articles showing research that most time doing data analysis is actually spent cleaning data. In a lot of businesses, the data lake has become a data swamp, clogged with bad or unusable data. As the % of unstructured data increases daily, it’s easy to see how data swamps have become the norm. Even the most robust data collection and mining can run afoul if the data is not trustworthy.

I can’t stress this enough. No matter how good you are at analysis, or what tool you are using to do the analysis, if you don’t have an understanding of what happens to the data before it gets to you then you are probably not drinking from a clean lake.

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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. 

 

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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.

My Big Data Initiatives for 2018

As 2018 comes to a close, I plan on spending the last few weeks of the year thinking about what comes next.

Priority #1 is expanding the advocacy for more data-driven decision-making in the Philippines.

There are two components to this effort; talking about analytics to as many Filipinos as possible and continuing to hit the road and spread the advocacy to as many provinces as possible.

Priority #2 is something new.

After six years of being pretty much 100% focused on analytics in the Philippines, I will be spending some of my time back in the United States. I will be volunteering time to help educate and empower the electorate to make more data-driven decisions when it comes to exercising their vote.

My call to action for 2018 will center around three #hashtags:

#DataRockPinas

#AAPMoonshot

#BetterBringData

More to come.

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.

 

One Of The Key Differences About The AAP… Our Strong Ties to Academia.

It’s not a coincidence that the Analytics Association of the Philippines has such a strong focus on skills building and talent development.

In fact the majority of our founding board members either are currently or have in the past taught in higher education.

The reality of the current analytics landscape in the Philippines is that we need large scale initiatives to both upskill the existing workforce as well engage with the government and with academe to ensure a steady stream of analytics savvy graduates.

Some of the initiatives we have in the works include:

  • Upskilling training as many as 500,000 Filipinos currently working in the IT-BPO sector whose jobs are at risk do to AI
  • Facilitating a series of academic conferences to empower analytics educators with more tools and resources
  • Conducting train the trainer classes to build up the necessary number of analytics experts who can assist in both the massive upskilling and the teacher conferences
  • Working with a wide range of associations and organizations to offer targeted analytics training for their members
  • Bringing together analytics training providers, academic programs, industry leaders and government officials to unify the analytics ecosystem.

To meet the founding board members of the AAP, interact with many of the 30+ companies already working with the AAP, and to learn more about Big Data Analytics here in the Philippines, check out the following event:

https://conferences.enderunextension.com/conferences/big-data-analytics-summit-2017

It’s a holiday for many of us, but learning about analytics never stops.

See you there!

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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.

Meet the Founders of the AAP at the Big Data Conference on Nov 15 @ SM Aura

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Meet the Founders…
Daniel Meyer
Executive DirectorPresident and Founder of DMAIPH (Decision-Making, Analytics & Intelligence Philippines), an Analytics, consulting, training and outsourcing company with offices in Manila and the San Francisco Bay Area.He worked as a Senior Analytics Consultant for Wells Fargo Bank for 15 years. He provided executive management analytics for the bank’s remittance service including developing business dashboards, overseeing competitive intelligence gathering, managing data analytics outsourcing projects and facilitating audit and risk management.Catch him on:

  • Oct 18 – Gensan ICT Summit 2017 (SM Gensan)
  • Oct 18 – Data Night Gensan (Mabuhay I.T. Park, Gensan)
  • Oct 24
  • Oct 26-27 – HR Big Data & Predictive Recruitment Analytics
  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )
  • Nov 18 – For Generation Digital by Blogapalooza (City of Dreams)
  • Nov 21-22 – Big Data Analytics and Data Value Chain
  • Nov 23 – Philippines HR Group Summit 2017 (Sequoia Hotel, Quezon City)
  • Nov 24 – Digital Marketing Analytics
  • Nov 28-29 – Analytics for HR Managers (2nd Run)
  • Dec 4-5 – Big Data for 2018
Colin Christie
Governance & Membership ChairA serial entrepreneur, connector and collaborator. He currently serves as the Executive Director of Global Chamber® Manila, and is Dean & Director of Digital Transformation at Enderun Colleges. Colin serves as a President of the Board of Trustees of the Analytics Association of the Philippines (AAP.ph). Colin has practiced a life-long passion for embracing transformative technologies, spanning many industries, from manufacturing, to software, to healthcare and education. Colin is a graduate in Chemical Engineering from the University of California at Berkeley.Catch him on:

  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )
Karlo Panti
External Relations & Marketing ChairA Director of Global Production at QuintilesIMS responsible for mature markets and developed countries in the Asia Pacific and the Country Head of IMS Health Operations Center Philippines, Inc. serving as the President and Chairman. In addition, he is one of the founding members of the Analytics Association of the Philippines, serving in the Board of Trustees as the Head for External Relations.He has more than 16 years of experience in operations and service delivery, having managed large teams in different industries and geographies and migrated new business processes to the Philippines from different Fortune 500 companies.Karlo led teams servicing different verticals mainly in life sciences data analytics, insurance and healthcare, F&A, travel, transportation and logistics, high-tech, consumer and telecommunications.Throughout his career, he has improved the operational processes of different companies as a COPC Practitioner and a Six-Sigma Champion helping them grow their business with his involvement in sales, due diligence, transitions and migrations as well as automations and transformation projects.As a speaker and a facilitator, Karlo has shared his insights on leadership development, operational excellence, team building, business analytics and life sciences.Catch him on:

  • Oct 13 – 15th Philippine Institute of Industrial Engineers (PIIE) National Congress
  • Oct 25 – HIMSCON 2017
Dominic “Doc” Ligot
Research and Development ChairAn entrepreneur, software developer, trainer, and data consultant. Doc’s passions include advanced analytics, disruptive innovation, organizational change, and obtaining business value from data. He is the Founder and Managing Director of Cirrolytix Research Services which provides data and analytics support to small and medium enterprises and analytics freelancers in the Philippines.Doc teaches digital marketing analytics for the Certified Digital Marketer (CDM) program and financial analysis and management science for the American Academy of Financial Management (AAFM). Prior to becoming a tech entrepreneur, he was Asia Pacific Practice Partner for Advanced Analytics for big data analytics firm Teradata and previously held executive leadership positions at global banks HSBC and ANZ.Catch him on:

  • Oct 26-27 – Global CEM Summit Financial Services Singapore
  • Oct 21 – Bookkeepers Summit 2017
  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )

Brenda A. Quismorio

Education (Academe) Chair and Data Science and Analytics Framework Co-Chair

Dr. Brenda A. Quismorio has a combined fifteen years of experience in consulting, training, project management, process reengineering, application development and maintenance, quality management, and data services work for global firms such as Andersen Consulting (now Accenture) and Watson Wyatt Worldwide (now Willis Towers Watson) and local firms such as First Philippine Holdings and Aboitiz Transport Systems (now 2GO Group Inc.).Brenda joined the academe in 2010 as an Assistant Professor at the University of Asia and the Pacific. She spearheads the undergraduate specialization program in Business Analytics.

She is a founding member of the Analytics Association of the Philippines (AAP) and the Business Analytics Society of Educators (BASE). She forms part of the Advisory Group of the APEC Project DARE (Data Analytics Raising Employment). She is currently the Board Member and Chair of the Education-Academe Committee of the Analytics Association of the Philippines. She is a resource person of a number of professional organizations and training institutes on Business Analytics.   Brenda holds degrees from the University of the Philippines (Diliman) in BS Statistics, MBA, MS in Management and Phd in Business Administration with a dissertation on modeling financial extreme risks.

Catch her on:

  • Oct. 17-18 – 2017 BSP-UP Professorial Chair Lectures (Executive Business Center, BSP Complex)
  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )
Sherwin Pelayo
Data Science and Analytics Framework Chairhas been involved in strategic capability development initiatives at Accenture, IBM, and now at Pointwest Technologies Corporation. In this role, Sherwin has been responsible for defining strategies to initiate and expand key transforming digital services including identifying focus areas, defining competencies, building curricula, enabling practitioners, developing leads and opportunities, architecting solutions, and ensuring project delivery.His current focus is in Analytics and Experience Design. It is in the intersection of these two where Sherwin finds his passion–connecting the science of Analytics and the art of Human-Centered Design not only to bring data-inspired, user-driven solutions for business partners but also deliver greater, more impactful social innovation for the Philippines.Catch him on:

  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )
Dr. Eugene Rex L. Jalao
Education (Academe) and Research and Development Co-ChairAn Associate Professor of Analytics and Industrial Engineering in the University of the Philippines Diliman, Department of Industrial Engineering and Operations Research. He specializes in Decision Support Systems, Business Analytics Solutions, Data Mining, Optimization and Systems Simulation. He obtained his Ph.D. in Industrial Engineering from Arizona State University (ASU) in May 2013. Additionally, he obtained his Masters of Science in Industrial Engineering degree as well as his Bachelor of Science in Industrial Engineering from the University of the Philippines Diliman in 2009 and 2007 respectively. He was inducted into the Alpha Phi Mu, Industrial Engineering Honor Society in 2012.His ten years of work and research experience are in the fields of business analytics both here in the Philippines and in the United States of America, specifically in the Banking, FMCG, Manufacturing, Real Estate, Healthcare, Telecommunications and Information Technology industries. Also, he is the current director of the Business Analytics Certification Program of UP National Engineering Center. Furthermore, he was part of 50-person APEC team that drafted the Recommended Data Science and Analytics Competencies last May 2017 in Singapore. He is also a certified SAP ERP Materials Management consultant, a Matlab computing associate and an advocate of the R Programming language.Catch him on:

  • UP NEC Analytics Certification Training Modules
  • Oct 18 – 20 – Module C – Descriptive Analytics
  • Nov 22 – 24 – Module B – Data Warehousing
  • Dec 6 – 8 – Module D – Predictive Analytics
  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )

Michelle Alarcon

Education (Professional) Chair

With more than 20 years of IT consulting experience in the Philippines, US and Europe, she started her own consulting firm 4 years ago that specializes in analytics, her passion ever since she graduated with a degree in Statistics from the University of the Philippines. She trained on and practiced data mining in Spain for two years, and later on pioneered the Analytics Department of the largest local private bank in 2005.

In 2011, she was the Consulting Director for a top software company where she led a team of 150 consultants in implementing enterprise solutions for companies worldwide. Now as President and Managing Director of Z-Lift Solutions, she brings all these experiences to her clients as she defines their roadmap towards a smarter business with analytics, and enables them to make it part of their new culture as a data-driven organization. She is also the organizer of the R Users Group of the Philippines, a 4-year-old community that aims to promote the use of open source R for statistical programming in the country.

Catch her on:

  • Oct 18 – R Users Group (RUG-PH) Meetup (TIP Manila)
  • Oct 17 – Big Data and Analytics (Colegio de San Agustin)
  • Nov. 15 – Big Data Analytics Summit ( SMX Aura )
  • Nov 16 – RUG-PH Meetup (Manulife UP-Ayala Technopark)

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DMAIPH will be at the Big Data Conference on Nov 15 – 2017 @ Enderun

http://conferences.enderunextension.com/conferences/big-data-analytics-summit-2017

This year’s theme is “Big Data Made Simple”

“Data is the new Oil” is the new mantra, and for good reason! The past decade has seen an amazing transformation of business. The top 5 largest listed companies by market capitalization are all from the IT sector: Apple, Alphabet (Google), Microsoft, Amazon, Facebook.  Contrast that with just five years ago when the list was dominated by energy and financial sector players.

These companies, who have now achieved global dominance, have one thing in common. They have mastery over data. The lesson: to thrive in business today, you must constantly innovate, and you must up-skill yourself and your team in understanding data through analytics.

My talk will be on “The Upskilling Challenge: Massively Scaling the Filipino Data Science & Analytics (DSA) Workforce

Data Science and Analytics Enabled Professionals are among the most in demand workers in the Philippines today. Additionally, the projected growth for DSA workers is estimated to be over 500,000 new DSA jobs in the next 5 years. For the Philippines to meet both surging domestic demand and take advantage of the global shortage in DSA talent, we will all need to take part in a massive upskill training program. I will outline the various roles required of us in this massive undertaking to digitally transform a significant percentage of the Filipino workforce. It should lead to some interesting conversations.

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Analytics Consulting – As a founding member of Gloabl Chamber Manila, 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.

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.

 

APEC Data Science & Analytics Key Competency #2: Data Visualization and Presentation

According to the APEC (Asia Pacific Economic Cooperation) Advisory Group, Data Visualization and Presentation is one of the key competencies of a Data Science & Analytics professional working in the region.

By definition, a DSA professional demonstrates the ability to create and communicate compelling and actionable insights from data using visualization and presentation tools and technologies.

Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Being able to present these visuals in a way that initiatives action and empowers decision-making is just as important.

The best data visualizations are simply ones that take data and convert it to visuals like pie charts, line graphs, sales charts, etc.

Patterns, trends and correlations that might go undetected in spreadsheets or text-based data can be exposed and recognized easier with data visualization software.

Good analysts are the ones who can visualize data and use tools to add a story telling component to their analysis.

One of the best ways of communicating any kind of complex information is to turn it into a story, starting at the beginning and working your way through to the end.

Making the story relevant to the audience is key. By making the results both easier to understand and more likely to be remembered it becomes easier to convince an audience of the validity of your approach and make them more likely to accept and take action based on your conclusions.

In the end, just think of the adage picture is worth a 1000 words, just like a good pie chart is worth 10,000 rows of excel data.

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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.

Top 5 Reasons to Attend the Digital Transformation Summit 2017

From the Global Chamber® Manila Newsletter

May 9, 2017

  1. Be inspired by an all-star lineup of speakers, who are already gaining significant benefits from adapting new technologies
  2. Learn about various technological platforms such as AI, IOT, Big Data, Analytics, and how it’s disrupting businesses
  3. Reflect, reexamine your company’s issues and goals, and set your vision and new strategy for the next decade
  4. Engage and network with executives and fellow thought leaders
  5. Empower the culture of innovation within you!

Not registered yet? It’s not too late to sign up!

I will be one of the speakers, talking about Data Storytelling. It is quite an honor to part of this awesome event! 🙂

Attend one or both days of the Digital Transformation Summit this May 24 and 25 at SMX Aura Convention Center.

Data Analytics or HR Analytics? Which Should I Attend?

Here at DMAIPH we offer a variety of analytics training solutions to organizations here in the Philippines.

Our two most popular offerings are Data Analytics and HR/Recruitment Analytics.

We get asked a lot, what is the difference.

Well, in general the Data Analytics classes like our Big Data Analytics & Business Intelligence training this coming May 18, are designed for a general audience.

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HR/Recruitment Analytics classes like the upcoming HR Big Data & Recruitment Analytics training on March 14 in Ortigas, is designed for a much more specific audience of HR and Recruitment professionals.

 

Data Analytics attendees come from a wide range of companies and have perform a variety of job functions. The one thing they all have in common is that they are looking for data analytics techniques and technologies to help them get a handle on all the Big Data they have to work with everyday.

HR/Recruitment Analytics attendees are all working as part of Talent Management teams in HR, Recruitment, Training, Operations and other parts of an organization that primarily handle people data. So case studies, exercises and the lesson plan itself are all focused on how to use the people data in the business to enhance and empower people centric decision-making.

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HR and Recruitment professionals can benefit a lot from attending the Data Analytics trainings and we generally have a few do just that. However, for a more focused approach to getting a handle on people data, the ones who attend the HR/Recruitment Analytics trainings will probably get a little more practical application to use when they return to the office.

Target Attendees for Data Analytics:

  • Data and Business Analysts
  • Managers and Supervisors of Analysts
  • Professional Staff who create reports and manage data
  • Decision-Makers who need more analytics

Target Attendees for HR/Recruitment Analytics:

  • HR and Recruitment Analysts
  • HR and Recruitment Managers and Supervisors
  • HR and Recruitment staff who work with a lot of people data
  • Data and Business Analysts who work closely with people data

Hope that helps you decide which one to attend.

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.