Data Analytics 3.0: A three-day intensive training on Data Analytics and Data Visualization

Data Analytics 3.0: Big Data Analytics, Data Value chain and Data Visualization on June 5-7, 2018 (9AM – 5PM) to be held at Discovery Suites, ADB Ave., Ortigas Center, Pasig. 

COURSE OVERVIEW:

Analytics Experts Dan Meyer (DMAIPH) and Dominic Ligot (Cirrolytix) have joined forces to offer a unique training focusing on both the Analysis, Visualization and Management of Big Data.

Attendees will learn how to identify the right data, how data can be efficiently stored, then transformed into a friendly form for analysis, and finally how data analysis can yield insights.

This training will also lightly touch on each aspect of data identification, collection, storage, transformation, and analysis and involve hands-on use of common data management and analysis tools such as Excel, SQL and in depth learning of the tool “Tableau”, this is also designed for those with little to no prior experience with these tools.

 

LEARNING SESSION OBJECTIVES:

  1. Apply cutting edge technologies to organize, interpret, and summarize Big Data in your business.
  2. Create a process to analyze data and identify patterns not apparent at first glance
  3. Understand the components of The Data Value Chain: Ingestion, Storage, 
Transformation, Analysis – and how they are all important to deriving value from data.
  4. Learn database manipulation and processing basics using the Structured Query Language 
(SQL)
  5. Connect a data analysis tool such as MS Excel or Tableau to a database to be able to 
perform analysis on processed and stored data

 

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
  • How 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:

  • Learn the best practices for organizing, summarizing, and interpreting quantitative data
  • Create a repeatable process for analyzing your data
  • Shorten the time between analysis and action to avoid “analysis paralysis”
  • Know how to get from hard data to well-reasoned conclusions

 

WHO SHOULD ATTEND:

  • Business Analysts, Data Analysts and other Analytics Professionals
  • Business professionals who are involved in day-to-day analysis of data.
  • Data analysts who are already performing analysis using spreadsheets but struggle with manual data processing.
  • Managers of analysts or staff who spend a significant amount of their time collecting, analyzing and reporting data.
  • IT and Development Staff that work closely with business leaders and decision-makers.

 

KEY TOPICS: DAY ONE

SECTION ONE – Big Data—It’s Not Just Size That Matters

  • Understand the 3 T’s of Analytics: Talent, Technique and Technology.
  • Describe the importance of effectively, analyzing big data in Business today.
  • Develop a Data Map to analyze the Big Data in your Business.
  • Recognize when to employ Descriptive, Predictive or Prescriptive Analytics.
  • Establish clear objectives when analyzing Big Data.

SECTION TWO – Assess Your Current Analytics Culture

  • Define What Is an Analytics Centric Culture.
  • Describe the issues and trends in today’s analytics field.
  • Discover how to find the most important KPIs.
  • Learn how to build better management reports.
  • Optimize your use of MS Excel for Big Data Analytics

SECTION THREE – Using Business Intelligence Tools

  • An overview of BI Tools.
  • Discuss the Concept of Data Visualization.
  • Build A Business Dashboard Prototype.
  • Apply the key elements of Data Storytelling

SECTION FOUR – Interpreting Your Data and Analysis

  • Articulate the importance of accurately interpreting Data.
  • Determine how to validate your data analysis.
  • Mitigate and analyze Risk, Uncertainty, And Probability.
  • Spot patterns and trends through Statistical Analysis.
  • Use findings from Big Data to Drive Decisions within your Organization.

 

KEY TOPICS: DAY TWO

SECTION FIVE – Presenting the Data Value Chain and Databases

  • Discuss the components of The Data Value Chain and the various users and roles involved in transforming data to value: Database and ETL engineers, Data analysts, Business users.
  • Learn about basic data architecture and the role of databases in processing data.
  • Understand the basics of databases, tables and views.
  • Learn about the Structured Query Language (SQL) and SELECT statements.

SECTION SIX – Data Processing with SQL

  • Discuss the additional value that can be derived from using SQL for Data Processing.
  • Go into detail on various ways of processing and preparing data using SQL.
  • Learn about aggregates, conditions, how to join tables, and run queries within queries.

 SECTION SEVEN – Accessing SQL Tables with Excel

  • Learn about Open Database Connectivity (ODBC) and how Excel uses ODBC to connect to external data sources.
  • Discover how SQL tables and views can be read by Excel into instant Pivot Tables and Pivot Graphs.
  • Understand how changes in database table or view via SQL Inserts, Deletes, and Updates are reflected on Excel.

SECTION EIGHT – Performing analysis of SQL-based data using Excel

  • Learn about how SQL data can be dissected using the Data Analysis functions in Excel.
  • Talk about form tools and macros that can automate manual reporting.
  • Discuss tips for reporting and sharing the results of your analysis.
  • Understand how data can be prepared for exceptional storytelling.

 

KEY TOPICS: DAY THREE 

At the end of this course, you will be able to:

  • Connect to your data.
  • Edit and save a data source.
  • Understand Tableau terminology.
  • Use the Tableau interface / paradigm to effectively create powerful visualizations.
  • Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
  • Represent your data using the following visualization types:
  • Cross tabs
  • Geographic maps
  • Heat maps
  • Tree maps
  • Pie charts and bar charts
  • Dual axis and combined charts with different mark types
  • Highlight Tables
  • Scatter Plots
  • Build dashboards to share visualizations.

 

Tableau – Fundamentals

  • Introduction
  • Connecting to data
  • Simplifying and sorting your data
  • Organizing your data
  • Slicing your data by date
  • Using multiple measures in a view
  • Showing the relationship between numerical values
  • Mapping data geographically
  • Viewing specific values
  • Customizing your data
  • Analyzing data with quick table calculations
  • Showing breakdowns of the whole
  • Highlighting data with reference lines
  • Making your views available

 

Data Storytelling

Definition of a Data Storyteller. These experts are equally statistically minded and artistically gifted, with experience in programming and building data models that can be visualized and turned into data stories. Data Storytellers must have excellent communication and presentation skills that’s are used in translating data analyses into layman’s terms in order to influence a business decision or action. Their job is to ensure that the derived information is not only well researched and accurate, but also understandable and easily used to explain what the data says in a compelling way.

 

Overview of the Four Keys to Data Storytelling

  • Knowing your audience
  • Preparing your data
  • Choosing the right visual and designing it well
  • Telling the story

 

The Key Elements (D.R.A.P.S.) of Data Storytelling

  • Visualization is the fastest bandwidth channel for transferring high dimensional information into the human brain (Direct)
  • Visualization uncovers cause and effect relationships (Relationships)
  • Visualization grabs attention (Attention)
  • Visualization uncovers hidden patterns (Patterns)
  • Visualization separates data structure from data noise (Structure)

 

We only offer limited seats, register now at:  http://bit.ly/DataAnalyticsTraining30 or email us at info@sonicanalytics.com | marketing@sonicanalytics.com or call at (02) 968 1756

 

 

 

 

 

 

 

 

 

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DMAIPH HR Analytics Strategy Lead

HR Analytics Strategy Lead

DMAIPH is an international analytics firm with offices in both the U.S. and the Philippines that specializes in providing analytics themed training, consulting and outsourcing to its clients.

DMAIPH also conducts analytics training classes facilitated by our President & Founder, Daniel Meyer. Mr. Meyer is an author, public speaker and one of the most sought after analytics experts in the Philippines. Over the past 5 years, Mr. Meyer has trained 1,000s of Filipinos on a variety of analytics topics. We are currently building out a marketing and analytics team to grow the training business line.

We currently employee over 60 employees here in the Philippines who are assigned to providing customer service, email support and graphic design work for a U.S. based client. This account is a mature account, having been established in 2013. This specific role will work directly with the marketing and analytics teams of DMAIPH and support the broader HR efforts for the other DMAIPH lines of business.

The role of the HR Analytics Strategy Lead has four primary functions;

  • 25% HR Generalist (Comp/Ben, Contracts, Recruitment, etc)
  • 25% HR Analytics Technical Trainer
  • 25% HR Analytics Projects
  • 25% HR Analytics Resource Speaker

Job Requirements:

  • At least 3 years of of HR work experience.
  • Experience in the BPO industry is a plus.
  • Four-year degree holder in an HR, related course preferred, but any undergraduate experience is acceptable.
  • Intermediate MS Excel skills.
  • A strong interest in analytics; using data to driven decision-making.
  • Experience with corporate training, public speaking and/or classroom teaching strongly preferred.
  • An Above average level of English proficiency.
  • A pleasant attitude and professional appearance.
  • A curious mind. Successful candidates will be able to demonstrate how they enjoy solving problems and looking for innovative solutions.

Job Duties:

HR Generalist (25%) – serving as an HR Generalist (Recruitment, Compensation & Benefits, and Employee Engagement) for a team of 10-15 marketing and analytics employees. Will also work with HR staff from DMAIPH business partners responsible for other DMAIPH teams.

HR Analytics Technical Trainer (25%) – will work alongside other DMAIPH trainers to deliver content specifically designed for HR Analytics training activities. Initially working with content already developed, over time the lead may develop their own content under the guidance of senior DMAIPH staff.

HR Analytics Projects (25%) – will work on ad hoc and ongoing analytics projects aligned with industry and academic needs to massively upskill HR staff. Will conduct research, prepare reports and deliver findings to DMAIPH management and key business partners.

HR Analytics Resource Speaker (25%) – will be assigned speaking roles at various academic and industry events where as needed. Content will be provided. Over time will become a spokesperson and champion for furthering the use of HR analytics in the Philippines.

Please note that we are not expecting successful candidates to already have work experience in all of these areas. There will be a large amount of training, coaching and mentoring to get the Talent Management Analyst up to speed. Above all else we are looking for someone who is curious, who is flexible and who can take initiative.

Compensation:

  • Starting salary depends on experience, but the position base is targeted at 30,000 PHP a month.
  • After probationary period, health benefits and paid leave will be made available (probation can last between 1 to 6 months).
  • Additional performance based incentives can be achieved for filling training classes and meeting HR metrics goals.
  • Up to P2,500 in tax-free allowances.
  • Possible 5-10% performance bonus upon normalization.
  • Complete 40 hours of work. This is a full-time job commitment.
  • Annual performance evaluation and compensation increases.
  • Standard employee benefits as mandated by Philippine law.
  • Company lap top and mobile phone may also be provided.

Location:

This position is primary office based, but will be able to work remotely a significant % of the time once past probationary status. There will be a need to go into the field to attend job fairs, DMAIPH training events and occasional conference and workshops. There may also be a need to report to our Ortigas office for meetings and trainings. During the onboarding and probationary period, the HR Analytics Strategy Lead may be required to come into the office regularly until they are fully up to speed.

Interested applicants please send your resume and contact details directly to me at danmeyer@dmaiph.com

The Data Analyst Era

FIRST THINGS FIRST,

 

https://www.sonicanalytics.com/

Do you think this is still the career era for nurses? The era of Physical Therapist?  The Networking era? The I.T eras? Why don’t you try to type in google right now and search Most in demand jobs in the futureand you will mostly find “Analyst” on every job description in demand in the future. The worst case is that you will also discover the worst job in the future, if you have been caught on that category. I say we are here to save you.

We are here to help you start building your future right now

 

https://www.facebook.com/pg/dmaiph/photos/?tab=album&album_id=1316439141834859And be the first one to learn and know what is in demand. We are here to supply you knowledge and provide you a strong foundation in analytics. We have the same curiosity when it comes to analytics? Trust me, I’m not a big fan of numbers, but I’m wrong, I never thought analytics also plays a role in giving us a perception through data visualization with the right purpose of using numbers. Not just some numbers you need to compute instructed by your professors to do so.

 

It’s all about numbers but.

It also equips with visualization with easy number to analyze. If you notice right now visualization plays an important role in our digital age today. Because we prefer to see imagery instead of computation, we prefer reading pictures instead reading books. Analytics have the same concept and there is a huge shortage of people who are skilled in working with data to answer questions to solve problems. Sonic Analytics

Therefore, you have seen the number of analyst job postings increasing at an amazing rate. Then why not apply it into our career, use this as an asset for you to innovate.

 

For those who are interested in or just beginning a career in data analysis,

here’s a few tips to help you get started,

Be willing to learn,

Being a sponge in learning data analysis (and with any field) can only reap the benefits. With data analysis, it’s important to start small and learn the basics and foundations before moving on and tackling bigger things. learning-picture.jpg

Building a solid foundation of education in the beginning helps you know the basics and allows you to work on building your skills and knowledge as you progress through your career.

 

Don’t be afraid to ask questions and get help

You can’t do it alone, and not seeing out help can cost you opportunities as you progress through your career. Reaching out isn’t a sign of defeat or being unknowledgeable, it shows that you’re passionate and want to learn more but need the proper guidance to get you there.images

Becoming a data analyst is a great career option for those who love to work with numbers with the right tools (We will guide you) to help you and to help companies, organizations draw conclusions and arm them with the information they need to make for decision making.

If you’re a beginner,

26993474_1325177484294358_3157857508557595202_nDon’t worry, we are here to teach you the important fundamentals of data analytics step by step in a layman’s term.

Now, it’s your big chance to participate in our upcoming trainings which focuses more on teaching young professionals like you.

 

DMAIPH is proud to present this 3-day Data Analytics training that covers different aspects of data identification, collection, storage, transformation, and analysis and involve hands-on use of common data management and analysis tools such as Excel, SQL and in depth learning of the tool “Tableau”, this is also designed for those with little to no prior experience with these tools.

Analytics Experts Dan Meyer (DMAIPH) and Dominic Ligot (Cirrolytix) have joined forces to offer a unique training focusing on both the Analysis and the Management of Big Data.

Attendees will learn how to identify the right data, how data can be efficiently stored, then transformed into a friendly form for analysis, and finally how data analysis can yield insights.

Come and Join Us!

Data Analytics 3.0

February 20 – 22 | 9:00am to 5:00pm

For inquiries: info@sonicanalytics.com | marketing@sonicanalytics.com

|  (02) 959 – 8017 | 0917-799-2827

 

Register Now!

DATA Analytics 3.0: Big Data, Data Value Chain and Data Visualization with Tableau – February 20-22, 2018

DMAIPH is proud to present this 3-day Data Analytics training that covers different aspects of data identification, collection, storage, transformation, and analysis and involve hands-on use of common data management and analysis tools such as Excel, SQL and in depth learning of the tool “Tableau”, this is also designed for those with little to no prior experience with these tools.

Analytics Experts Dan Meyer (DMAIPH) and Dominic Ligot (Cirrolytix) have joined forces to offer a unique training focusing on both the Analysis and the Management of Big Data.

Attendees will learn how to identify the right data, how data can be efficiently stored, then transformed into a friendly form for analysis, and finally how data analysis can yield insights.

 

LEARNING SESSION OBJECTIVES:

  1. Apply cutting edge technologies to organize, interpret, and summarize Big Data in your business.
  2. Create a process to analyze data and identify patterns not apparent at first glance
  3. Understand the components of The Data Value Chain: Ingestion, Storage, 
Transformation, Analysis – and how they are all important to deriving value from data.
  4. Learn database manipulation and processing basics using the Structured Query Language 
(SQL)
  5. Connect a data analysis tool such as MS Excel or Tableau to a database to be able to 
perform analysis on processed and stored data

 

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
  • How 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:

  • Learn the best practices for organizing, summarizing, and interpreting quantitative data
  • Create a repeatable process for analyzing your data
  • Shorten the time between analysis and action to avoid “analysis paralysis”
  • Know how to get from hard data to well-reasoned conclusions

 

WHO SHOULD ATTEND:

  • Business Analysts, Data Analysts and other Analytics Professionals
  • Business professionals who are involved in day-to-day analysis of data.
  • Data analysts who are already performing analysis using spreadsheets but struggle with manual data processing.
  • Managers of analysts or staff who spend a significant amount of their time collecting analyzing and reporting data.
  • IT and Development Staff that work closely with business leaders and decision-makers.

 

Continue reading “DATA Analytics 3.0: Big Data, Data Value Chain and Data Visualization with Tableau – February 20-22, 2018”

April 18 – Ortigas – Industry-Academe

Industry – Academe Data Science and Analytics Conference 2018

April 18, 2018
University of Asia and Pacific, Pearl Drive, Ortigas Center, Pasig City

The Analytics Association of the Philippines in partnership with DMAIPH and UA&P is proud to present the Industry – Academe Data Science and Analytics Conference 2018.

With the theme “Bridging the Industry-Academe Analytics Gap through the APEC Data Science and Analytics Competencies”, the conference aims to help academic institutions craft and deliver Analytics programs that are relevant, applied and experience-building for the students and to help the industry gain access to graduates ready for analytics jobs.

One of the highlights of the event is the dialogue between the industry and the academe where we will work to bridge the gap between the current syllabi and the Recommended APEC Data Science and Analytics Competencies developed through Project DARE (Data Analytics Raising Employment), an initiative led by the United States Department of Labor under APEC’s Human Resources Development Working Group and endorsed by the APEC Business Advisory Council.

Why Focus on APEC’s Data Science and Analytics Competencies?

Jobs requiring a familiarity with data analysis are forecasted to dramatically rise, resulting in a massive shortage of qualified employees. According to reports, some economies face a shortage of up to 1.5 million data analytics-enabled managers and analysts, costing billions of dollars in lost revenue annually. There is an urgent need to ensure that the future workforce is equipped with data analytics competencies to secure the jobs of tomorrow and move with ease in the labor market.

This is where Project DARE comes in. Project DARE aims to facilitate development of a data analytics-enabled workforce across the APEC region to effectively support sustainable economic growth and prosperity in the Asia-Pacific region. To do so, Project DARE developed a set of Recommended APEC Data Analytics Competencies which will be a resource to academic institutions and governments to align curricula, courses and programs so APEC economies are equipped to educate its workforce with the data analytics skills needed by employers in a data-driven future.

How was the Recommended Data Analytics Competencies Developed?

The Recommended APEC Data Analytics Competencies was developed through a public-private partnership with input from over 40 Advisory Group members comprised of distinguished business and higher education leaders who oversee data science and analytics needs for their organization and data science inter-disciplinary initiatives and curriculum. The Advisory Group was led by the private sector partner co- chairs, global skills and knowledge company Wiley and the Business Higher Education Forum (BHEF), with technical support by the EDISON (Education for Data Intensive Science to Open New Science Frontiers) Project. AAP’s Founding Members, Mr. Karlo Panti, Dr. Breda Quismorio, Mr. Sherwin Pelayo, Mr. Dan Meyer and Dr. Eugene Rex Jalao.

 

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Analytics Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. As a key parnter of the Asia Pacific Economic Cooperation’s Project DARE initative, DMAIPH champions the use of using data. 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 data science and 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.

The Analytics Education Drive in the Philippines

Article by AAP Business Analyst, Ludilyn Pridas

The Asian Institute of Management (AIM) recently conducted a free Master Class last January 15-17, 2018 about the application and use cases of Data Science to different fields. It was also a venue for them to provide more information and some insight about the relevance and competitiveness of their newly proposed course, the MS in Data Science (MSDS) Program. The Master Classes aimed to provide some perspective on role of Data Science in the business world today.

During the second day, AIM focused on the applications relevant to the Finance and Banking sectors. The session which was primarily conducted by the Institute’s MSDS Program Director Erika Legara, PhD. She talked about the place of data science in business and emphasized on the importance of the data scientist’s ability to communicate his/her findings to the business decision makers effectively.  Let me highlight some of the things I found particularly relevant.  A good data science team is crucial to leveraging on company curated data as most often than not, good amounts of historical data are left untouched or under-utilized. This is because people in the business are rarely equipped to handle data, more so transform and use it through modelling.  Aside from this, it was also emphasized that analytical knowledge alone will not be enough to achieve success for the business. A data scientist should also have domain knowledge on the relevant business alongside his/her data analytics skill set and techniques. The combination of both is needed to effectively revolutionize one’s business. To sum it all, AIMs seminar was a great opportunity to get an introduction on data science and its relevance, as we know that the Philippines is now adapting to keep up with the trend.

In 2013, the Commision on Higher Education (CHED) released a memo outlining the guidelines and policies for the launching of specialized courses in business analytics targeted towards students who are taking up Business Administration and Information Technology. The goal of this endeavor is to prepare students for the big global analytics wave which will likely open up a lot of career opportunities. In fact upon the release of the memo, various schools expressed their interest to add this new program to their curriculum such as the University of the Philippines – Diliman, Ateneo de Manila University, De La Salle University, Asia Pacific College and University of Santo Tomas, among others. The visualization below shows the list of schools that have expressed interest in launching their own Data Science and Analytics programs. (Click the visualization below to open and interact with it in a separate tab).

Teaching Analytics

 

Similar to AIM and the abovementioned schools, the Analytics Association of the Philippines (AAP) also aims to shed light on the relevance of analytics to businesses and the overall economy. As an enabling organization, we aim to come up with a unified ecosystem in the Philippines where industry, the academe, and practitioners meet and find synergies. By helping mobilize trainings and programs for Filipinos that focus on how to upskill in analytics with strong regard for business domain knowledge, we hope to facilitate the creation of a new breed of data scientists that can really revolutionize organizations.  Quoting the popular magazine-format newspaper, The Economist, the world’s most valuable resource is no longer oil but data. In line with this and the objective of the AAP, we serve to help individuals optimize their practice and remain well-informed about the developments of the field to make their work more valuable to them and their respective organizations. We hope to complement the efforts of AIM and other educational institutions as we take on the same objective of upskilling Filipinos. The AAP undertakes this mission through massive and inter-regional projects throughout the Philippines, hopefully reaching the seams, and making it available to all who are eager to learn.

How Do We Make Globalization Work For Every Filipino? We Need To Massively Upskill!

In the Philippines we see many pros and cons of Globalization first hand.

The BPO Industry and the OFW culture has given millions of Filipinos access to jobs that provide higher salaries and economic opportunities that they might now have been able to find locally.

However, these two economic trends have also caused a brain drain, where any of the best and the brightest of the Filipino workforce is not engaged in helping better the Philippines directly.

It’s a double edged sword, but I for one think up until now the pros have been worth the cons and we have seen a growing middle class in the Philippines that didn’t exist 20 years ago.

However, the Philippines still remains on the whole a fairly poverty stricken country. Wealth distribution is a major problem. Many economic indicators show the Philippines economy being one of the shining stars of Asia, but on the streets of Manila the average Filipino is not really seeing the benefits of this growth. Still, its indisputable that for millions of Filipinos Globalization has been a benefit in raising their economic quality of life.

In addition, most of the jobs that OFWs and BPO workers take on are jobs that hard, manual process intensive, and do not require tech skills which cannot easily be replaced by A.I.  There is little doubt that most of new jobs being created today require tech skills that most of the current work force does not have. The ability of the education system in the Philippines to prepare the next generation workforce with tech skills is also not where it could be.

Answers to these challenges will come with investing a lot more in upskill training and curriculum redesign to provide Filipinos with 21st Century Skills. And that is why I founded DMAIPH and am part of the AAP.

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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. #AAPMoonshot #DataRockPinas

Analytics Jobs of the Future (1st in a Series)

Jobs of the Future for analytics will be mid-high level jobs and rapidly replace low-skilled analytics jobs that are now fairly common here in the Philippines. 

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Original content created by Jacqueline Belmonte, Assistant to the Executive Director of the Analytics Association of the Philippines. 

Analytics jobs have been increasingly changing as of late as technology changes, but how does Analytics perform in the larger landscape? This research is conducted to provide a view on Analytics as a growing job field in the Philippines. The research also aims to discuss Analytics as a recognized field today, used by 53% of companies to optimize their data into valuable insights for decision-making, targeting higher number by 2022.

In fact, APEC (the Asia-Pacific Economic Cooperation), predicts that analytics jobs will more than double in the Philippines in the net 5 years.

APEC_500K

The Era of Data has shifted the jobs of today and of the future as new technologies revolutionize the way how businesses deliver their products and services.

The customer experience has been the most important factor in retaining customers and is evident on how creative companies have been to stand among competition. Digging into customer’s activity will uncover customer behavior patterns that could be used in marketing.

In-demand mid-high skill & lucrative jobs are already starting to be significant in the market place here. Replacing the low skill jobs over time will be a challenge though, as the Philippines does not have enough talent to meet the industry demand hence, a looming analytics talent shortage.

A significant chunk of employed population with low skill and repetitive tasks will also be affected due to innovations like Artificial Intelligence if they will not upskill themselves to learning more complex skills like Data Science and Analytics.

The disruption of technology to the traditional business process can be mitigated with immediate communication of what’s about to happen and how to cope with it as an individual and an organization. Efforts will need to come from the industry, academe and government, working together

And that is where DMAIPH and the AAP come in.

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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.

Upcoming Events

Big Data Bacolod: https://web.facebook.com/events/718011925036202/

Big Data Analytics 3.0: https://web.facebook.com/events/1750508601681363/

Analytics for HR Managers: https://web.facebook.com/events/227273664479530/

The 4 “Sets” of HR Analytics

Disruption is now the new normal. Cutting edge HR Managers utilize data-driven techniques like; capability analytics, competency acquisition analytics, capacity analytics, employee churn analytics, corporate culture analytics, recruitment channel analytics, leadership analytics and employee performance analytics.

New technologies like social networks, applicant tracking systems, business dashboards and business intelligence applications are fundamentally changing the entire talent management process from sourcing to placement to retirement.

These new technologies are enabling HR Managers with vast amounts of big data and providing truly actionable insights which allows a deeper understand of what’s working and what’s not working when it comes to our talent strategy.

That said, many HR teams here in the Philippines are still stuck doing basic management reporting using descriptive analytics with Microsoft Excel.

If you break down HR Analytics into four types sets: data sets, tool sets, skill sets and mind sets, you can determine where barriers exist in your business. These barriers are almost always either a lack of training or a problem with company culture.

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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.

 

 

Hunting For Those Missing Elements – Massive Analytics Upskilling

One of the best things about bringing new people on board is that you tend to get pretty insightful feedback.

Let me show you why I really value a fresh pair of eyes as I try and lead my team of analysts in our advocacy to conduct massive upskill training in the Philippines.

Thanks to Ludz Pridas, a new business analyst on the AAP Analytics Team, for creating most of the content below.

On one hand it’s refreshing to know that all of these observations are things we are actively working on. On the other, it can be little frustrating that we haven’t worked them all out yet to a point where the whole team see the big picture.

So that is my first missing element I need to focus on, upping the level of internal communication. Not easy with a team that works virtually a lot. We use Trello, that helps. We have monthly strategy meetings, but probably need to have them a little more frequently.

Another “missing element for us to do a massive training is the opportunity for advancement, a llack of advances towards other training”… the ecosystems is very fragmented. As the number of training options and academic programs focused on analytics grows, so does the difficulty for someone looking to upskill.

Unification of the ecosystem is a top priority of the AAP as we set up partnership agreements with various other organizations. Advocating for standards built around the APEC Data Science & Analytics Core Competencies Map helps. But we need to do a lot of networking and storytelling to build a successful framework for someone to easily determine which upskill option is the right one for them.

We also have to both make things simpler and add more complexity. It is even harder to pull this off then it sounds. Most people looking for analytics training are pretty new to many of the concepts used by cutting edge analytics teams. And a lot of people needing the training simply aren’t numbers people. So we need to keep things fairly layman.

At the same time we need to use the framework to help people easily level up and progress. That cant all be done in person. So online tools will be essential, and there are a lot in the works. Also additional resources for self-guided learning need to be developed and shared.

And the final point that Ludz pointed out to me is “the lack of trainers to teach analytics, to guide the audience beyond our standard 2 days of fundamentals. It’s just not enough to learn all the stuff about analytics quickly.”

Yes, that is why we are gonna do a run of the Train the Trainer in Bacolod in Feb and are working to set up a fun of Train the HR Trainer early in 2018, and another run of Train the Trainer in Davao in April. A large part of my time this coming year will be spent growing the numbers of experts.

By my calculations, to train 500,000 Filipinos by the end of 2022, we will need about 10,000 experts to conduct various types of training.

As I said at the top, these are things we know. We just need to get better at talking about them to a point where everyone involved gets it. That’s who advocacies from one man shouting in the wilderness, to a society of learners working together to optimize the use of data across the county.

Interested in helping the AAP achieved our analytics moonshot? I hope so because it gonna take all of us.

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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.