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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It’s No Longer Just Enough To Know

In a recent conversation about using more analytics in the measurement and evaluation of public policies and programs, one of my colleagues said that in today’s world, “It’s no longer just enough to know.”

The point being if you aren’t using data and analysis to enhance your efforts and empower decision-makers with actionable insights, then you are not serving the public to the best of your ability.

A lot of government programs, non-profits and philanthropic organizations are what he called, “Information Rich, but Data Poor.”

Check out my upcoming webinar on Feb 15, 2017! https://dmaiph.com/2017/01/14/analytics-and-data-driven-decision-making-webinar-on-feb-15/

Just because you gather massive amounts of information in the form of data points, does not mean the data is adding value. In fact one of the biggest challenges the corporate world has been dealing with the past few years is how to optimize Big Data.

We live in a world where so much data is produced and captured, then analyzed and published in reports and article, yet the data and analysis alone is often not having the impact our policies and projects were intended to have.

In effect, we might know things, but we aren’t able to influence decisions because our data is not compelling enough.

To this end, I have advocated importing some analytics themed best practices from the corporate world to educate more on what to do with the data and how to put the data to use. To in short, be Information Rich, Data Rich to move towards more Data-Driven Decision-Making.

Starting backwards, I will first focus my training on the How. How do we make more data-driven decisions?

The I will focus on the Why. Why do we need to make more data-driven decisions?

From there we will go into several business analytics concepts like Data Visualizations, Public Data Mining, Data Lakes, Demographic Profiling using Big Data, and Data Blending.

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A final topic of interest that I will bring to the discussion is the Plus Minus Implications for Unstructured and Qualitative Data. Things that at first can be hard to assign a number too, but are just important as any piece of traditional data used in decision-making.

At the conclusion of my work, public policy and project reporting will be much more data rich, influence will improve and decision-making enhanced.

Now we won’t just know, we will be able to champion what we know in ways that will make a difference.

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

Why Analytics Projects Fail – #9: Bad Data

In my experience, most of the time analytics projects fail its generally traceable back to a purely human problem. However, sometimes you see things fall apart because of technology, the misuse of technology and/or just bad technology. This is the case when projects fail because of bad data.

There are a lot of ways bad data can happen.

One common way you end up with bad data, is the data was not captured correctly. Perhaps the data was manually input with lots of error. Or maybe your data is not consistently collected so it has gaps. Knowing what exactly goes into capturing your data and being able to understand how it is collected is extremely important.

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Another cause of bad data is that you are not getting all the data or you are getting data that has been altered. A lot of times when data passes from the collection point to you, it might be being truncated, or blended, filtered or converted. Lots of databases are structured for optimal data storage, not usage. A lot of database admins who don’t really know the data will add data flow shortcuts. Or maybe the fall under the datakeepers category and partition or cut out some of the data you need.

Bad data also comes in the form of old and out of date data. When you are making decision on data that just not recent enough, it can lead to a lot of problems. Keeping data fresh is something some companies just don’t value. If that’s the case, you will likely see your analytics initiatives come up with analysis that points you in the wrong direction.

In all three of these examples, one solution I suggest to mitigate the chance you have bad data is to build a data map. Learn about every point in a data flow that touches your data. Talk to the ones in charge of each touch point to make sure your data is not being impacted in any way that can result in bad data. Even if you cannot fix the problem, understanding it can help you set more realistic expectations of what your analytics project can achieve.

I have found using Visio to build data flow visuals is the best way to explore, document, and report how the data being used in my projects is being impacted by the environment it lives in. Knowing Visio is a valuable skill for an analyst. If you don’t use it, I promise you that once you do you’ll be sending me a thank you.

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Analytics Culture – The key to using analytics in a business is like a secret sauce that fuels Data-Driven Decison-Making. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization.

A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.

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

Every few months I devote a day to discover what are the current trends in analytics. I do this both to refresh the slides in my presentation and to refresh my mind to see what I may have missed.

The amount of literature out there on analytics continues to blossom at an amazing rate, making it a true challenge to stay well versed on what’s hot and what’s not. I read a new analytics themed book about once a month and I have well over 200 blogs, web sites and social media groups cataloged. So I like to think I’m pretty well versed on what is current.

Every time I go to list the top 5 analytics trends, I find that some things change and some stay the same. Ever since I have been doing this, data visualization is near the top. Business dashboards continue to be a big need. Business intelligence tools evolve and new ones’ pop up, but Tableau continues to be a market leader. 90% of us still use Excel for 90% of our analytics work.

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

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

So I try each time to really find something really new not just to me but truly new to analytics. Six months ago that was the idea of using a data lake instead of a data warehouse. For those still unsure what a data warehouse is, it’s a collection of databases stored and/or connected centrally. Data lakes are used to describe the reality that more and more data is now unstructured data.

The discussion on what is unstructured data and how best to mine it and integrate it with structured data has really been at the forefront for a while now. Going from 80% structured to 90% unstructured in in just a few short years as mankind generates unprecedented amounts of data not easily captured in a database every day.

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

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

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