Author: DMAIPH

Analytics Expert and President & Founder of DMAI.

Bridging the Data Science Gap: Where to Study in the Philippines

With the growing amount of data and rising demand for data professionals in the Philippines, some of the most prominent universities in the country have started offering degree programs and specialized courses to provide professionals with additional skills to take on a career in Data Science. 

University of the Philippines – Diliman

The University of the Philippines – Diliman offers a Professional Master in Data Science (Analytics) program that equips professionals with a solid foundation in statistical science and proficiency in statistical machine learning to solve real-world problems.

Ateneo de Manila University

In partnership with the Queen Mary University of London, Ateneo de Manila University offers a Master of Science in Data Science program, which lasts 18 – 21 months. Students may spend a semester in London, and the credits earned abroad will still be part of the Ateneo degree.

University of Santo Tomas

The University of Santo Tomas offers a Bachelor of Science in Data Science program that covers a wide range of topics, including programming, machine learning, and data visualization. Students have the opportunity to participate in internships and capstone projects to gain real-world experience in solving data-related problems.

University of Asia and the Pacific

The UA&P offers a Bachelor’s Degree in Data Science and a part-time Master’s Degree in Applied Business Analytics to address the shortage of data specialists in the Philippines. Both programs aim to equip students with skills and practical experience to deal with real-world problems while being guided by professors with relevant and globally competent qualifications in the field.

De La Salle University

DLSU offers a Minor in Data Science program, aiming to equip students with basic working knowledge in statistics. DLSU also offers 40-hour diploma courses relevant to the field, such as Foundation of Data Science and Machine Learning, to boost the skills and qualifications of professionals in various fields to take on more promising Data-Science-related positions in their respective industries.

Asian Institute of Management (AIM)

AIM’s Master’s program is a 14-month program designed to train specialists who are skilled in machine and deep learning, data mining, and analytics. AIM also offers a doctoral program in data science – the first in the Philippines and only one of few in Asia.

Technological Institute of the Philippines (TIP)

TIP offers a Professional Science Master’s Degree in Data Science (PSMDS), which aims to develop professionals who have the ability to lead their organizations in using data aid in the growth of their industries.

Mapua University

Mapua University offers an undergraduate program in Data Science, providing students with the skills and knowledge necessary to become professional data scientists working in various industries.

Cosmopoint International Institute of Technology (CIIT) 

CIIT provides a specialist course for those interested in data science. The specialist course lasts for only three months and engages students in different software essential for any would-be Data Science Specialists.

University of Science and Technology of Southern Philippines (USTP)

The University of Science and Technology of Southern Philippines (USTP)’s Bachelor of Science in Data Science (BSDS) program was developed to produce graduates who are competent in various fields of data science, such as data management, data analytics, and data visualization.

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Daniel Meyer is the head of Sonic Analytics, an analytics firm that has been in the Big Data industry for over 20 years and has offices in Manila, the San Francisco Bay Area, and Ocala, Florida. He is an accomplished author, public speaker, and business expert specializing in virtual staffing and process automation.

Dan is known for providing big data analytics solutions, including business intelligence and data storytelling, to small businesses seeking to improve their use of data, virtual staffing, and technology. He strongly believes in using analytics for civic responsibility, and offers training, consulting, and education to promote this advocacy.

With his experience in training over 10,000 Filipinos, Dan is passionate about empowering the youth with valuable skills, such as graphic design, video editing, and data analytics. His objective is to equip them with the necessary abilities to harness the dynamic employment opportunities that lay ahead for millions of Filipinos.

Decoding Data Science: A Useful Guide to Basic Terminology (Part 2)

Welcome back to our series on understanding the basics of data science terminology! Learning these key terms is essential for anyone looking to get started in data science, and we’re here to make it easy and accessible for everyone.

Today, we will examine five additional key terms that are essential for navigating the fascinating world of data science.

  1. Artificial Intelligence

AI is the field of creating intelligent machines, including intelligent computer programs. It aims to develop systems that can perform tasks that would normally require human intelligence, such as decision making, speech recognition, and natural language processing.

  1. Machine Learning 

Machine Learning is a subset of AI that allows computers to learn from historical data to make predictions and uncover patterns without being explicitly programmed to do so. It is used in many modern technologies like recommendation systems, search engines, and voice assistants.

  1. Deep Learning 

Deep Learning is a Machine Learning technique inspired by the neural network of our brain. It enables machines to find complex patterns in large datasets by using multiple layers of computational nodes to deliver a final result in the form of a prediction.

  1. NLP (Natural Language Processing) 

NLP is the intersection of Computer Science, linguistics, and AI. It helps computers understand human language and perform language-related tasks, such as speech recognition and text interpretation. NLP enables machines to communicate with humans via natural language, and is used in many modern applications.

  1. Python 

Python is a popular programming language used for data analysis due to its versatility and user-friendliness. Its easily understandable syntax allows for quick and readable implementation of scripts or programs, making it a common first programming language to learn for beginners.

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Book Dan for a speaking engagement in your company today and discover how his expertise in data analytics can help take your business to the next level.

Daniel Meyer is the head of Sonic Analytics, an analytics firm that has been in the Big Data industry for over 20 years and has offices in Manila, the San Francisco Bay Area, and Ocala, Florida. He is an accomplished author, public speaker, and business expert specializing in virtual staffing and process automation.

Dan is known for providing big data analytics solutions, including business intelligence and data storytelling, to small businesses seeking to improve their use of data, virtual staffing, and technology. He strongly believes in using analytics for civic responsibility, and offers training, consulting, and education to promote this advocacy.

With his experience in training over 10,000 Filipinos, Dan is passionate about empowering the youth with valuable skills, such as graphic design, video editing, and data analytics. His objective is to equip them with the necessary abilities to harness the dynamic employment opportunities that lay ahead for millions of Filipinos.

Data will talk to you if you’re willing to listen.

Data is not just a collection of numbers and statistics – it has a story to tell. By analyzing data and paying attention to the patterns and trends, you can gain a deeper understanding of your business, customers, and industry. However, this requires an open mind and a willingness to listen. It’s not enough to simply collect data and store it away – you have to actively engage with it in order to unlock its full potential. So the next time you’re working with data, remember to listen closely – it just might reveal something you never expected.

Daniel Meyer is the head of Sonic Analytics, an analytics firm that has been in the Big Data industry for over 20 years and has offices in Manila, the San Francisco Bay Area, and Ocala, Florida. He is an accomplished author, public speaker, and business expert specializing in virtual staffing and process automation.

Dan is known for providing big data analytics solutions, including business intelligence and data storytelling, to small businesses seeking to improve their use of data, virtual staffing, and technology. He strongly believes in using analytics for civic responsibility, and offers training, consulting, and education to promote this advocacy.

With his experience in training over 10,000 Filipinos, Dan is passionate about empowering the youth with valuable skills, such as graphic design, video editing, and data analytics. His objective is to equip them with the necessary abilities to harness the dynamic employment opportunities that lay ahead for millions of Filipinos.

The Rising Tide of Analytics & AI in the Philippines

The Analytics & Artificial Intelligence sector in the Philippines is poised for explosive growth, catching up with its ASEAN neighbors in terms of adoption. While it is still a relatively young industry, the potential for growth and development is immense. The Philippines is home to a large, skilled workforce and the government has been actively promoting the country as a destination for business process outsourcing (BPO) services. This provides a solid foundation for the growth of the Analytics & AI sector in the country.

  1. Increasing demand for Analytics & AI services

The demand for Analytics & AI services in the Philippines is on the rise. Companies are increasingly looking for ways to leverage the vast amounts of data they collect to gain insights and make better decisions. With a large pool of talented data scientists and analysts, the Philippines is well-positioned to meet this demand.

  1. Supportive government policies

The Philippine government has been actively promoting the country as a destination for BPO services, including Analytics & AI services. The government has also implemented policies to support the growth of the sector, such as tax incentives and infrastructure development.

  1. Growth of startups and innovation hubs

There has been a surge in the number of startups and innovation hubs in the Philippines in recent years, with many of them focused on Analytics & AI. These startups and hubs provide a platform for innovation and collaboration, and are helping to drive the growth of the sector.

  1. Strong partnership with the private sector

The Analytics Association of the Philippines has been working closely with the private sector to promote the growth of the Analytics & AI sector in the country. This partnership is crucial in driving investment and innovation in the sector.

  1. Potential for job creation

The growth of the Analytics & AI sector in the Philippines has the potential to create a large number of high-paying jobs. This is particularly important in a country where unemployment and underemployment rates are high.

In conclusion, the Analytics & AI sector in the Philippines is on the cusp of explosive growth. With a supportive government, a skilled workforce, a growing startup ecosystem, and a strong partnership with the private sector, the Philippines is well-positioned to become a leader in the Analytics & AI space. The potential for job creation and economic growth is immense, making it an exciting time for the sector and the country as a whole.

Visit Dan’s website sonicanalytics.com to learn more about how his big data analytics solutions can help improve your business. Contact us today to schedule a speaking engagement in your company.

Daniel Meyer is the head of Sonic Analytics, an analytics firm that has been in the Big Data industry for over 20 years and has offices in Manila, the San Francisco Bay Area, and Ocala, Florida. He is an accomplished author, public speaker, and business expert specializing in virtual staffing and process automation.

Dan is known for providing big data analytics solutions, including business intelligence and data storytelling, to small businesses seeking to improve their use of data, virtual staffing, and technology. He strongly believes in using analytics for civic responsibility, and offers training, consulting, and education to promote this advocacy.

With his experience in training over 10,000 Filipinos, Dan is passionate about empowering the youth with valuable skills, such as graphic design, video editing, and data analytics. His objective is to equip them with the necessary abilities to harness the dynamic employment opportunities that lay ahead for millions of Filipinos.

Decoding Data Science: A Useful Guide to Basic Terminology (Part 1)

Are you new to the world of data science and feeling a little overwhelmed by all the jargon and technical terms? Don’t worry, we’ve got you covered! In this 2-part series, we’ll be breaking down the basics of data science terminology to make it easy and accessible for everyone.

Today, we’ll be exploring five key terms that are essential to building a solid foundation in data science.

  1. Data Science

The field of combining programming, mathematics, and statistics to analyze data and provide insights for decision making and problem solving. Data Scientists have high-level technical skills and use various programming languages to collect, interpret, format, model, predict, and manipulate data.

  1. Algorithm

A set of repeatable instructions, usually expressed mathematically, used to process data. Algorithms can be constructed by humans or machines and adjusted until the desired result is achieved. Machines are now commonly used due to advancements in Artificial Intelligence.

  1. Data Analytics 

The process of using existing information to answer questions for better business decision-making. It involves continuous collection and analysis of data, with a focus on ensuring data integrity and accurate evaluation of research results.

  1. Data Mining 

The process of sorting large data sets to identify patterns and relationships that can help solve business problems. It is a component of Data Analysis and one of the core disciplines of Data Science. Data mining techniques and tools can be used to predict future trends and make more informed business decisions.

  1. Big Data 

A term used for data that is too large and complex for traditional data management tools to store and process efficiently. Big Data can provide more complete and precise answers by confirming information from multiple data sources.

Understanding these key terms is essential for anyone looking to get started in data science. Stay tuned next week as we continue to explore key concepts and terminology in data science.

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Daniel Meyer is the head of Sonic Analytics, an analytics firm that has been in the Big Data industry for over 20 years and has offices in Manila, the San Francisco Bay Area, and Ocala, Florida. He is an accomplished author, public speaker, and business expert specializing in virtual staffing and process automation.

Dan is known for providing big data analytics solutions, including business intelligence and data storytelling, to small businesses seeking to improve their use of data, virtual staffing, and technology. He strongly believes in using analytics for civic responsibility, and offers training, consulting, and education to promote this advocacy.

With his experience in training over 10,000 Filipinos, Dan is passionate about empowering the youth with valuable skills, such as graphic design, video editing, and data analytics. His objective is to equip them with the necessary abilities to harness the dynamic employment opportunities that lay ahead for millions of Filipinos.

“Data is the new oil.”

As we move deeper into the digital age, it’s becoming increasingly clear that data is the new oil – the most valuable resource of our time. Just like oil was the driving force behind the industrial revolution, data is now the key to unlocking success in today’s digital landscape. With the right data, you can make better decisions, gain a deeper understanding of your customers, and optimize your business processes. But just like oil, data needs to be refined and processed in order to be useful. That’s why it’s crucial to invest in the right tools and strategies to manage and analyze your data effectively. By doing so, you can stay ahead of the competition and harness the power of data to drive growth and success for your business.

Daniel Meyer is the head of Sonic Analytics, an analytics firm that has been in the Big Data industry for over 20 years and has offices in Manila, the San Francisco Bay Area, and Ocala, Florida. He is an accomplished author, public speaker, and business expert specializing in virtual staffing and process automation.

Dan is known for providing big data analytics solutions, including business intelligence and data storytelling, to small businesses seeking to improve their use of data, virtual staffing, and technology. He strongly believes in using analytics for civic responsibility, and offers training, consulting, and education to promote this advocacy.

With his experience in training over 10,000 Filipinos, Dan is passionate about empowering the youth with valuable skills, such as graphic design, video editing, and data analytics. His objective is to equip them with the necessary abilities to harness the dynamic employment opportunities that lay ahead for millions of Filipinos.

Data Analytics in the Philippines: Unlocking Unlimited Potential

In recent years, the Philippines has seen a growing interest in data analytics, with organizations and companies investing in this field to improve their decision-making processes and gain a competitive edge. This trend is especially clear in the finance, healthcare, and e-commerce industries, where data analytics has become an essential tool for success.

The Philippine government has also recognized the importance of data analytics and has taken steps to promote its use. The Department of Science and Technology (DOST) and the Technical Education and Skills Development Authority (TESDA) have started to offer free online training courses for data analysts to fix the skills mismatch and shortage that has been seen in this field. This training is intended to cater to unemployed individuals, including high school graduates, and equip them with the necessary skills to enter the job market.

The Analytics Association of the Philippines estimates that by 2028, the country will need 500,000 analytics professionals. This need is not just in the IT field; data analysts are also needed in many other business fields. The entry-level salary for data analysts in the Philippines can go as high as P25,000 per month, making it an attractive career option for many.

To meet the demand for skilled professionals in this field, universities in the Philippines are starting to offer courses and degree programs in data analytics. The University of the Philippines Diliman has a Master of Science in Data Science program, while Ateneo de Manila University has a Bachelor of Science in Data Science program. This move by universities is important for making sure that the Philippines has enough skilled workers to meet the growing demand for data analysts.

It is also important for companies and organizations to talk to people in the industry to find out what skills are needed for jobs. As Sherwin Pelayo, executive director of the Analytics Association of the Philippines, said, “We talked to our industry members, and they said that if these skills were taught in senior high school, we would hire those who possess them.” The executive director of Philippine Business for Education, Justine Raagas, agreed with this point of view and stressed the need to talk to these sectors because they know what is needed in the workplace.

The Department of Trade and Industry has also emphasized the importance of knowing the skill sets needed by companies and training people based on these needs to ensure their employability after graduation. This approach ensures that individuals are equipped with the necessary skills that are in demand in the job market.

In conclusion, the Philippines is slowly but steadily embracing data analytics, and we can expect more changes and improvements in this field in the coming years. The government, universities, and private sector must continue to work together to make sure that the workforce has the skills it needs to meet the growing demand for data analysts. By doing so, the Philippines can position itself as a hub for data analytics in the region, and its workforce can contribute to the country’s economic growth and development.

Don’t miss out on more of Dan’s expert content. Follow his social media channels for exclusive tips, insights, and valuable information on data science and analytics.

Daniel Meyer is the head of Sonic Analytics, an analytics firm that has been in the Big Data industry for over 20 years and has offices in Manila, the San Francisco Bay Area, and Ocala, Florida. He is an accomplished author, public speaker, and business expert specializing in virtual staffing and process automation.

Dan is known for providing big data analytics solutions, including business intelligence and data storytelling, to small businesses seeking to improve their use of data, virtual staffing, and technology. He strongly believes in using analytics for civic responsibility, and offers training, consulting, and education to promote this advocacy.

With his experience in training over 10,000 Filipinos, Dan is passionate about empowering the youth with valuable skills, such as graphic design, video editing, and data analytics. His objective is to equip them with the necessary abilities to harness the dynamic employment opportunities that lay ahead for millions of Filipinos.

Unveiling the Hottest Tech Career of the Year: 5 Key Facts About Data Scientists

The world today is all about technology and data. This has created an explosion in career opportunities in the tech industry. According to Forbes, the most rapidly growing jobs in the tech industry are data scientists. They estimated the growth rate of data scientists from 2021 to 2031 is expected to be 36%, and the median pay for this career is $100,910 per year.

Here are five key things you should know about data scientists:

1️⃣ Data scientists use a variety of tools and techniques to extract insights from data, including statistical analysis, machine learning, and data visualization.

2️⃣ Data scientists work with large and complex data sets, which may require them to clean and classify raw data before analyzing it.

3️⃣ Effective communication is an essential skill for data scientists. They must be able to present their findings to both technical and non-technical audiences in a way that is easily understood.

4️⃣ Data scientists can work in a variety of industries, including healthcare, finance, retail, and technology. They can help organizations identify patterns and trends that can inform business decisions and drive growth.

5️⃣ As more and more data is generated every day, the demand for data scientists is expected to continue growing. The field of data science offers excellent career opportunities and a chance to work with cutting-edge technology.

In conclusion, data scientists play a crucial role in today’s data-driven world. They help organizations make informed decisions by analyzing complex data sets, and their skills are in high demand. If you’re interested in a career in data science, there has never been a better time to get started.

Ready to take the first step in upskilling your employees? Schedule a speaking engagement with Dan today and discover the benefits of data analytics for your business!

Daniel Meyer is the head of Sonic Analytics, an analytics firm that has been in the Big Data industry for over 20 years and has offices in Manila, the San Francisco Bay Area, and Ocala, Florida. He is an accomplished author, public speaker, and business expert specializing in virtual staffing and process automation.

Dan is known for providing big data analytics solutions, including business intelligence and data storytelling, to small businesses seeking to improve their use of data, virtual staffing, and technology. He strongly believes in using analytics for civic responsibility, and offers training, consulting, and education to promote this advocacy.

With his experience in training over 10,000 Filipinos, Dan is passionate about empowering the youth with valuable skills, such as graphic design, video editing, and data analytics. His objective is to equip them with the necessary abilities to harness the dynamic employment opportunities that lay ahead for millions of Filipinos.

“In God we trust, all others must bring data.”

Making the right decisions is crucial to the success of any business or career. While intuition can be valuable, relying on it alone may not always lead to the best outcomes. This is where data comes in. By analyzing data, you can gain insights that can help you make better decisions, optimize your processes, and improve your bottom line.

Don’t underestimate the power of data. Whether it’s customer data, operational data, or financial data, make sure to utilize it to its fullest potential. The insights you gain could be the key to taking your business or career to the next level.

Dan Meyer is the head of Sonic Analytics, an analytics firm that has been in the Big Data industry for over 20 years and has offices in Manila, the San Francisco Bay Area, and Ocala, Florida. He is an accomplished author, public speaker, and business expert specializing in virtual staffing and process automation.

Dan is known for providing big data analytics solutions, including business intelligence and data storytelling, to small businesses seeking to improve their use of data, virtual staffing, and technology. He strongly believes in using analytics for civic responsibility, and offers training, consulting, and education to promote this advocacy.

With his experience in training over 10,000 Filipinos, Dan is passionate about empowering the youth with valuable skills, such as graphic design, video editing, and data analytics. His objective is to equip them with the necessary abilities to harness the dynamic employment opportunities that lay ahead for millions of Filipinos.

#dataanalytics #datainsights #datastrategy  #datamanagement #bigdata #businesstips   #businessoptimization #businessintelligence #danmeyer #dmaiph #sonicanalytics

A Few Tips on Working From Home

For people who have experience working from home, the massive disruption being caused by COVID19 is probably a little easier to manage.

In today’s economy a large percentage of workers do most of their work from a computer. This of course, gives them the flexibility to keep being productive by using the ever increasing number of tech tools out there to keep going.

Without apps like Skype and Zoom to do conference calls and Monday and Trello to manage projects, we would be in a much more challenging place. Cloud Storage, Cloud based Shared Drives, even shareable versions of MS Office enable our work day.

If you are new to working from home getting up to speed on some of these apps will help you manage your time, keep on track with deliverables, and stay easily in touch with co-workers.

Tech is the easy part.

The lifestyle change is some different entirely.

From my experience and from my experience running a successful business where most of my employees work from home, here are some lifestyle choices I recommend people new to working from home.

  1. Stick to Your Work Schedule.
  2. Take Breaks Just Like You Would in the Office
  3. Keep the TV off
  4. Work in a Quiet Place
  5. Mimic Your Office Set Up
  6. Let In Natural Life
  7. Drink a Lot of Water
  8. Snack Smartly
  9. Optimize Your Use of Tech Tools

There are many more, but getting started with some of these will help newbies to the work from home routine stay productive and ensure they stay healthy and happy.

Daniel Meyer heads both Sonic Analytics and Sonic Virtual Staffing, sister companies that deliver both data analytics solutions and virtual staffing to businesses in the United States and the Philippines. With over 20 years in Big Data and Virtual Staffing, Dan is one of the most sought-after public speakers in Asia and offers big data coaching and analytics training seminars on both sides of the Pacific.

In addition, Dan serves as senior advisor for analytics & virtual staffing with the Brooklyn Writer Project (www.bwpmediasolutions.com). Dan has also joined the Powerteam International’s Inspiration 2020 National Tour (ipowerteam.biz) as an analytics & virtual staffing resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities.

Sonic Virtual Staffing (www.sonicva.com) brings virtual staffing solutions like graphic design, social media management, bookkeeping and specialized virtual assistants for authors and professional speakers to small and medium sized organizations looking to scale on a budget and looking for 24/7 staffing options.

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress.