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”

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Bridging the Industry – Academe Analytics Gap through the APEC Data Science and Analytics Competencies

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 set to happen on April 18, 2018 at University of Asia and the Pacific, Pearl Drive, Ortigas Center, Pasig City.

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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.

 

Objectives of the Conference

  • To help academic institutions craft and deliver Analytics programs that are relevant, applied and experience-building for the students.
  • To help the industry gain access to graduates ready for analytics-related jobs
  • By staging this yearly conference, AAP will provide a venue for the academe and industry to collaborate and reach their objectives.

 

Key Topics:

Plenary Topics The Recommended APEC Data Science and Analytics Competencies and How it Relates to the CHED Memo 11 and 12
Government Initiatives on Analytics Education
The Ethics of Big Data
21st Century Skills
In-Depth Discussions

(Bridging the gap between the current syllabi and APEC DSA Competencies)

Domain Knowledge and Application
Data Management and Governance
Operational Analytics
Data Visualization and Presentation
Computing
Data Engineering Principles
Statistical Techniques
Data Analytics Methods and Algorithms
Research Methods

 

 

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 and AAP’s Founding Members, Mr. Karlo Panti, Dr. Brenda Quismorio, Mr. Sherwin Pelayo, Mr. Dan Meyer and Dr. Eugene Rex Jalao.

 

We are calling Industry Practitioners, Academic Institutions and Students to attend this year’s Industry – Academe Data Science and Analytics Conference, help us bridge the gap between the Industry demand and Academic Analytics Supply.

Register now at http://bit.ly/AAP-Conference-2018

We are also encouraging companies who want to showcase their products and services during the event, please contact Ms. Jenifer Caliwag at jen.ifer@dmaiph.com or you may call at (02) 959-8017/ 0917-799-2827 to get a copy of Sponsorship Packages.

 

Event Webpage: http://bit.ly/AAP-Conference-2018

For inquiries: analytics@dmaiph.com | (02) 959 – 8017

 

 

We’re looking for Digital Marketing and Business Development Officers

Digital Marketing Officer

Job Scope:

  • Devise strategies to drive online traffic to company website.
  • Manage and Develop Digital Marketing Campaigns.
  • Manage and oversee the company website and other digital/social media channels as well as implementing digital marketing campaigns.
  • Assist in the planning and budgetary control of all digital marketing campaigns
  • Evaluate digital SOV and competitor data
  • Managing the company’s design requirements, particularly print and digital collaterals and PowerPoint presentations
  • Must be amenable to work in Kapitolyo, Pasig City and Ortigas Center.

 

Qualifications:

  • Graduate of Digital Marketing and Multimedia Arts or similar courses preferred.
  • Proficient in Photo and Video Editing (Adobe Photoshop or other tools).
  • Experience using all or any of the following: Adword, Adsense, FB and Linkedin Ad is an advantage.
  • Proficient in MS Office.
  • At least 2 years relevant experience in a similar role is required.
  • Good command in both written and spoken English.
  • Excellent interpersonal, communications, analytical and problem- solving skills.
  • Can keep up with latest Digital Marketing trend.

 

Business Development Officer

Job Scope:

  • Act as representative of the company during external and internal events
  • Assist in the implementation of Digital Marketing Strategies created by DMO.
  • POC for any analytics trainings/services related inquiries.
  • Manage and organize Analytics Trainings in or outside Metro Manila.
  • Supervise database of client relationship management and utilize the result to manage customers and update mailing lists.
  • Assist in Social Media Blitzes and email invitations.
  • Update and maintain financial related trackers.
  • Provide guidance to interns/OJT.

Qualifications:

  • Candidate must possess at least Bachelor’s/College Degree in Business Administration, Marketing, Accounting/Finance or equivalent.
  • At least 2 years of working experience in the related field is required for this position (Preferably as in Marketing or Business Development).
  • Excellent communication skills.
  • Ability to get along with people at all levels.
  • Strong problem solving and creative skills.
  • Can work with minimal supervision, under pressure and can keep to deadlines.
  • Strong sales and negotiation techniques.
  • Organizational Skills and attention to details.
  • Must be amenable to work in Kapitolyo, Pasig City and Ortigas Center.
  • Self-Motivated and have initiative.
  • Proficient in MS Office (Word, Excel, PPT, etc.).

 

These are full-time 8-hour office job in Pasig City.

Send your resume at info@sonicanalytics.com

Big Data Analytics 101 in Cebu

Our first ever Big Data Analytics 101 Training in Cebu was a success.

About 40 people have attended the training last October 16 in Hotel Asia, Cebu City. Analytics and Data Science experts Mr. Dan Meyer and Mr. Dominic “Doc” Ligot did an exceptional job of sharing their knowledge and expertise in Big Data Analytics and Data Value Chain.

Cebu has proven that Philippines indeed can be an Analytics Hub, despite that our participants came from different industries and has different background; they’ve expressed equal interest in improving their business operation and career with Analytics. This type of enthusiasm shows that even though Philippines has a long way to go when it comes to Data Science and Analytics, we are still on the right track in building talents and businesses that can be as competitive as other countries in this Digital Age.

On the first half of the training, Dan was able to demonstrate how to build a strong foundation for Data Analytics. From establishing clear objectives when using data, to giving out relatable examples of how can you effectively use analytics in your business. Doc then took the second half of the training with a more technical approach. Using excel, attendees were able to learn statistical analysis, linear regression, time prediction, what – if analysis and a lot more.

 

Here are some key takeaways from the training:

  1. Establishing clear objectives when using data: Context, Needs, Vision, Strategy and Outcomes.
  2. Identify and resolve problems associated with Data Collection
  3. Use of Data Map to analyze big data in your business.
  4. 3 I’s of cutting edge analytics: Identify, Inventory and Integrate data.
  5. 3 T’s of cutting edge analytics: Talent, Technology and Technique.
  6. Important KPIs
  7. Ways to improve Management Reportings
  8. Building a data map
  9. Business Intelligence
  10. Elements of Data Storytelling
  11. System Preparation using Excel
  12. Defining a Regression Problem
  13. Predictive Analytics
  14. Data Applications (Prescriptive Analytics)
  15. What- if Analysis

 

Sharing some feedback from our participants when asked how this training would change their practice today:

After this training, I’ll be more open minded on what data points can be used other than the typical/common volume, frequencies, FTEs, etc.

“I hope to create a customized data analytics system in my scope of work using this training as guidance “

“Being more efficient with data and improve my output.”

“Innovation on my teaching career”

“Bank on good data governance and start with basic analysis”

“Be aware and look for opportunities to gather and let data drive business decision”

 


 

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Visayas Analytics Freelancers

After Big Data Analytics 101 training, Mr. Dominic Ligot conducted the first ever Analytics Freelancers Meet-up of the Visayas Chapter with the help of our ground partner, Joseph Rivera. Cebuanos who participated was able to learn different ways to monetize their skills and how to solve real – life problems using data. To be a member of this group, you can join at https://www.meetup.com/Visayas-Analytics-Freelancers/

Being able to witness this group of talent joining together to make a difference in our country was very humbling. Special thanks to Dan and Doc for sharing their knowledge and offering their time and resources to uplift our filipino talents.

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In pursuit of making a difference, Dan and Doc is part of an association called “Analytics Association of the Philippines”. AAP is the enabling organization formed to take the lead in driving the growth and evolution of Data Science and Analytics (DSA) in the country. AAP aims to serve the DSA needs of the government, the academe, the business sector, DSA consultants, training providers, DSA practitioners and aspiring professionals. Its goal is to cut across different sectors and industry horizontals and verticals to propagate and advocate DSA in the Philippines.

To learn more about their association visit their website at www.aap.ph or like their FB page at www.fb.com/analytics-association-of-the-philippines-2050534708499754

Sending my thanks and appreciation to Leenah – Leen Arandia, Jacquelyn Belmonte and my whole marketing team for assisting and helping us in the preparation and implementation of Big Data Analytics 101 in Cebu, you are a big part of making this event possible. 🙂

Next run:

Big Data Analytics 101 in Davao on November 25

Big Data Analytics 101 in Bacolod on December 8-9 (Details will be made available soon)

Big Data Analytics 101 in Ilo-ilo on January 12 (Details will be made available soon)

 

Photos from the event:

 

Digital Marketing Analytics on November 24

In partnership with Cirrolytix, DMAIPH presents to you Digital Marketing Analytics Training happening on November 24 (Friday, 9AM – 5PM) at Astoria Plaza, Escriva Dr., Ortigas Center, Pasig City.

This course builds on the theory and foundations of marketing analytics and focuses on practical application by demystifying the use of data in marketing and helping you realize the power of visualizing data with artful use of numbers found in the digital space.

Session One: Digital Marketing and Analytics

  • Objectives of Digital Marketing
  • Data Value Chain in Digital Marketing
  • Data analytics roles in Digital Marketing
  • Analytics: Descriptive, Predictive and Prescriptive

Session Two: Data Visualization Primer

  • Which chart for which question
  • Time-series analysis in Digital
  • Composition analysis in Digital
  • Scatterplots and comparative analysis in Digital
  • Heatmap analysis in Digital

Session Three: Predictive market segmentation

  • Market segmentation concepts
  • Market behaviour analysis
  • Assigning customers to the right clusters

Session Four: Recommendation engines

  • Market basket analysis and product affinity
  • Predicting next best product purchases

Session Five: Marketing Attribution

  • Creating an attribution model
  • Predicting marketing to sales performance
  • Marketing model optimization and sensitivity

Session Six: Sentiment Analysis

  • Text analysis primer
  • Processing unstructured data
  • Predicting social media response

Session Seven: Digital Analytics Maturity

  • Review of analytic maturity levels
  • Creating a data-driven culture
  • Learnings from disruptive data-driven companies

 

Training Investment:

EXCLUSIVE OFFER! Pay on or before October 30, 2017
P4,000 + VAT/ Participant

EARLY BIRD: Pay on or before November 10, 2017
P6,000 + VAT/ Participant

GROUP RATE
P6,500 + VAT/ Participant

REGULAR RATE: Starting November 11, 2017
P7,300 + VAT/ Participant

Investment includes AM/PM Snacks, Buffet Lunch, Workbook, Copy of the Presentation, Training Materials, Raffle Prices and Certificate of Completion. 

To register: http://bit.ly/2pzFQxx

For inquiries: analytics@dmaiph.com | (02) 959- 8017 | 0917-799-2827 |www.sonicanalytics.com