Analytics for Team Leads: Optimize Analytics & Data Science for More Efficient Operations and Engaged Employees

Join DMAIPH and Augment BPO in a two-day analytics training for Team Leads on August 22-23, 2017 in Ortigas! 

Learning Session Description

Every  organization is looking for a way to better understand what’s working and what’s not working in their operations. By using meaningful Big Data Analytics techniques, your leadership efforts can be greatly enhanced.

Learning Session Outline

In the past few years, we have seen the importance of big data, analytics and data science grow at a dizzying pace.

With real-time operations metrics & reporting, we can finally know what’s happening in our business, with our employees and with our customers.

New technologies like social networks, data rich information systems and business intelligence applications are fundamentally changing the entire operations process.

The pressure to deliver results has never been greater. Team Leaders are now more than ever required to demonstrate the return on investment of their efforts are contributing to the bottom line.

Building analytics centric teams and using techniques taught in this training session will empower more data-driven decision making. This will result in both process efficiency and better return in investment in the operations of your business.

With the global demand for analytics-enabled talent booming and the coming threat of A.I. to the BPO industry, Team Leaders need a deep understanding of analytics.

Learning Session Objectives

  1. Apply Best Practice Techniques and Cutting Edge Technologies to Organize, Interpret, and Summarize Quantitative Data
  2. Create a Process to Analyze Data and Identify Patterns Not Apparent at First Glance
  3. Reduce “Analysis Paralysis” and Go from Hard Data to Well-Reasoned Conclusions in Less Time
  4. Understand the implications of Artificial Intelligence and Machine Learning in regards to the future of work in the Philippines.

Who Should Attend

This session is suitable to a wide range of professionals but will greatly benefit:

  • Managers, Supervisors and Team Leads
  • Business Analysts working as part of an Operations Team
  • Leaders who oversee business operations

Learning Session Process

Based on a Set of Key Data Science and Analytics Competencies developed by the Asia Pacific Economic Cooperation (APEC), our learning sessions are designed for Team Leaders and Managers to use both in the Philippines and across the region.

Session One – Domain Knowledge & Application:  Apply domain-related knowledge and insights to effectively contextualize data, achieved by practical experience and exposure to emerging innovations.

  • Overview of Big Data, Analytics & Data Science in the Philippines
  • Cutting Edge Trends in Big Data
  • How to Apply an Analytics Process to Solving Business Problems

Session Two – Data Management & Governance: Develop and implement data management strategies and governance, incorporating privacy, data security, polices and regulations, and ethical considerations.

  • The 5 V’s of Big Data
  • The 3 Tenants of Data Governance
  • Information Security Guidelines for Filipino Businesses

Session Three – Data Analytics Methods & Algorithms: Capture, clean and inspect data. Evaluate and implement data analytics to derive insights for decision making.

  • Data Warehouses and Data Lakes
  • Blending Data from Across the Organization
  • Cloud Computing and 24/7 Data Access

Session Four – Data Science Engineering Principles for Business Operations: Use analytics software and system engineering principles and modern computer technologies to share findings and tell data stories. Develop analytic processes to improve HR operations.

  • Analytics with Lean and Six Sigma
  • Getting IT: the 3’s I and the 3 T’s of Data
  • Data Science 101: How to Build a Data Science Team

Session Five: Computing Principles for Team Leads: Apply information technology, computational thinking and utilize programming languages to design and develop data analysis processes and techniques.

  • Optimizing the use of MS Excel for Operations
  • Mangement Reporting
  • Working with the IT Team: Buy them Doughnuts

Session Six – Statistical Techniques for Data Analytics: Apply and/or direct the application of statistical concepts and methodologies for data analysis including predictive analytics.

  • Predictive Analytics Case Study: Google’s Top Performer Model
  • Tying Management Reporting to Predictive Models
  • Group Exercise: Build a Top Performer Model

Session Seven – Operational Analytics: Use data analytics and specialized business intelligence techniques for the investigation of all relevant HR data to derive insight in support of decision-making.

  • Competitor Landscapes and Demographic Profiles
  • BI Tools Demo: Tableau Public
  • Social Media Data

Session Eight – Data Visualization & Presentation: Ability to create and communicate compelling and actionable insights from data using visualization and presentation tools and technologies. Build a Business Dashboard prototype.

  • Data Visualization Guidelines
  • Group Exercise: Build a Business Dashboard Prototype
  • The Concept of Enchantment
  • Data Storytelling Case Study: The Best NBA Team of All Time

Case Studies and Exercises

We will use case studies and group exercises throughout the two-day class. In these activities, the group is divided into teams. Each team will analyze datasets using the principals learned in the various learning sessions. These exercises will also use elements from the case studies as we progress from finding data, to conducting analysis on the data and finally presenting the data.


Augment BPO

The Augment BPO Data Science and Analytics Advocacy Project (Augment BPO) is empowering BPO Companies, Executives, and Workers in the Philippines to prepare for and address the clear and present danger posed by Artificial Intelligence Chatbots (AI Chatbots) to BPO revenue growth and jobs through Data Science and Analytics strategy planning, awareness building and upskill training.



Analytics Training – DMAIPH offers a wide range of analytics centric training solutions for professionals and students via public, in-house, on-site, and academic settings. We tailor each training event to meet the unique needs of the audience. If you need empowerment and skills enhancement to optimize the use of analytics in your organization, we are here to help. Contact DMAIPH now at or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.

Philippines BPOs: Prepared To Stay On Top?

12523905_1094112590613600_4599398525089712302_nBy DMAIPH Analytics Intern Jacqueline Belmonte. 

The Philippines looks to remains the top Business Process Outsourcing (BPO) preference of companies around the world.

In fact, during 2016, the Contact Center Association of the Philippines (CCAP), the country’s Information Technology and Business Process Management (IT-BPM) sector projected that by 2017, the industry will provide more than 1.3 million jobs and over $25 billion revenue.

As of 2016, the industry employs 1.2M people and accounts for around 8% of Philippines’ GDP.  However, despite of  the continuous growth of the BPO, experts see a potential end to the growth of the industry.

In a study of Frost & Sullivan, low-skilled jobs in the outsourcing industry would decline by 28 percent within the next 6 years but will give rise to high-skilled outsourcing jobs by 2022.

By 2025, Pew Research Center survey expects robots and digital agents to replace a large number of BPO workers. “The Death of the Call Center”, Xerox’s worldwide survey revealed 42 percent of respondents said that call center will cease to exist but predicts the rise to “super-agent” who has high-tough and high value assistance to customers’ more complex problems.

The wide spread of robotic process automation (RPA) and artificial intelligence threatening to replace human agents is now the opportunity that companies under the BPO industry have been eyeing. For an instance, AI intelligence or the ability of machines to imitate human intelligence that get’s better through time and repetitive use is slowly changing the game.

A good example is Luvo, a virtual assistant that could assist customer problems such as lost or stolen bank cards and forgotten pin numbers. A startup founded by George Yang,  called AI Pros’, a voice-based natural language software, that can speak with customers using spoken English to pitch them a sale and only need human intervention when there are words that the system can’t understand  has shown an 80 percent increase in performance  of call centers. AI Pros’ is geared to help the BPO to cope with the AI threat by creating higher value jobs.

The alarming peril of the technological advancement to the BPO’s has also been recognized as a serious concern by the government. Senate Resolution No. 344 is the government’s response to maximize the  the development of AI technologies whilst acknowledging the possible negative impacts to jobs and employment in the country. With these, people seeking for employment are encouraged to take on the opportunities posed by the growth in software and mobile programming, cloud, analytics and other technical skills.

The bright side of this probable sunset of the BPO industry is that, companies and universities in the Philippines have responded positively through organizing events, trainings  and integrating growing industries such as analytics in the curriculum currently offered.

This initiative will create a highly skilled and competent pool of human resource that secures them against the threat of the downfall of the BPO industry. In addition, analytics training companies such as Decision-Making, Analytics & Intelligence Philippines (DMAIPH), BPO’s can be be guided as to how to slowly navigate from losing to winning  back the market.

Dr. Data_Analytics in the Philippines

Analytics in the Philippines – The Philippines is at the center of the action when it comes to solutions to the global need for analytics. Blessed with a solid foundation of young, educated and English speaking workforce, companies around the world are look for Filipino analytics talent to fill analytics positions.



DMAIPH was set up to facilitate these solutions and bring the talent and the business together. And that is exactly why I wrote Putting Your Data to Work, the first analytics guidebook designed specifically for the Philippines.

Contact DMAIPH now at or connect with me directly to order the book. Take advantage of this unique global opportunity and get more analytics in your career or in your business.