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

Join DMAIPH, Augment BPO and Sonic Analytics 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.

Day One – Doc Ligot, Cirrolytix

Session One – 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 Two – 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 Three: 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 Four – 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

 

Day 2 – Dan Meyer, DMAIPH

Session Five – 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 Six – 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 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.

Training Investment 

Early Bird Rate: P12,000+ VAT (till July 21)

Group Rate: P13,000+ VAT

Regular Rate: P14,600+VAT (starting July 22)

Investment Includes: 

Two-day Analytics for Team Leads Training, Training Materials, AM/PM Snacks, Lunch and Certificate of Completion.

To inquire about this training or to register, please send an email to analytics@dmaiph.com (event organizer) or visit http://www.sonicanalytics.com (marketing partner).

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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.

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DMAIPH

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 analytics@dmaiph.com or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.

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Global Chamber Manila: Filipino jobs threatened by Artificial Intelligence

For the past couple of weeks, digital transformation has been making headlines in the Philippines… finally!

A recent article from the Philippine Daily Inquirer has Senator Bam Aquino worried about Filipinos losing jobs to Artificial Intelligence.

Aquino, who chairs the Senate committee on science and technology, filed Resolution No. 344 that seeks to look into the government’s plan and initiatives to maximize the development of AI and other emerging technologies. Aquino says, “This early, we should be preparing for any eventuality that may occur when automation goes into full swing.”

Thus, we need to move very quickly to prepare! Don’t miss the Digital Transformation Summit on May 24-25. Save 15% on tickets with promo code: DTSBBDA15

Read the full news article: http://newsinfo.inquirer.net/894684/filipinos-losing-jobs-to-artificial-intelligence-bam-aquino-worried

DMAIPH hires, refers and connects Filipino analytics talent. The Philippines is at the center of the action when it comes to solutions to the global need for analytics.

Working with DMAIPH to find work, hire analytics talent or set up analytics teams will ensure you are tapped into the best of the best when it comes to analytics in the Philippines. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out how to take advantage of this booming opportunity.

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Global Chamber Manila helps members get business done across metro areas!

We are a thriving and collaborating community of CEO’s, executives, and professionals growing business across 525 metropolitan areas. We leverage technology and our collective networks around the world to help member companies grow, reduce risk, be more productive, and succeed faster.

We are the only organization in the world with the mission to grow business from anywhere to anywhere while collaborating with every organization. We help companies, investors and business service providers around the world succeed.

APEC Data Science & Analytics Key Competency #3: Data Management and Governance

According to the APEC (Asia Pacific Economic Cooperation) Advisory Group, Data Management and Governance is one of the key competencies of a Data Science & Analytics professional working in the region.

By definition, a DSA professional can develop and implement data management strategies and governance, while incorporating privacy, data security, polices and regulations, and ethical considerations.

The concepts of data management and data governance are kind of the like the chicken… you really can’t have one without the other. Although to the layman, data management includes data governance.

The simplest way to put it, is that data management is the physical aspects of data collecting, capturing, storing, segmenting, etc. Data governance is then the rules or guiding principles that direct how data management works.

There are a lot of data management resources out there. There are not a lot of data governance resources out there. This is why in a majority of companies, we have raw data that needs a lot of cleaning and refining before it can be used in a business.

Organizations that are good in data governance, generally have solid data management. Mature analytics companies have data that is easy to access, is accurate and is used in decision-making.

Data Governance is composed on three parts: People, Process and Technology.

DMAI_DataGovernanceThe people have titles like database admins, data stewards and data warehouse experts. They enforce the laws and rules around data within an organization.

The technology used is generally programming languages, coding and joining data structures to layout the blueprint of how data flows throughout the organization’s hardware.

The process is the rules, generally set down by senior management, and often in line with government or industry regulations that govern how data should be used.

If your organization has a lot of data, has people that are well versed in data management, and uses data to feed decision-making, then you need to make sure you have solid data governance.

If you don’t, DMAIPH can help. Likely you are missing key people, clear processes, and/or the right technology to ensure your data is being governed correctly.

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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 analytics@dmaiph.com or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.

APEC Data Science & Analytics Key Competency #2: Data Visualization and Presentation

According to the APEC (Asia Pacific Economic Cooperation) Advisory Group, Data Visualization and Presentation is one of the key competencies of a Data Science & Analytics professional working in the region.

By definition, a DSA professional demonstrates the ability to create and communicate compelling and actionable insights from data using visualization and presentation tools and technologies.

Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Being able to present these visuals in a way that initiatives action and empowers decision-making is just as important.

The best data visualizations are simply ones that take data and convert it to visuals like pie charts, line graphs, sales charts, etc.

Patterns, trends and correlations that might go undetected in spreadsheets or text-based data can be exposed and recognized easier with data visualization software.

Good analysts are the ones who can visualize data and use tools to add a story telling component to their analysis.

One of the best ways of communicating any kind of complex information is to turn it into a story, starting at the beginning and working your way through to the end.

Making the story relevant to the audience is key. By making the results both easier to understand and more likely to be remembered it becomes easier to convince an audience of the validity of your approach and make them more likely to accept and take action based on your conclusions.

In the end, just think of the adage picture is worth a 1000 words, just like a good pie chart is worth 10,000 rows of excel data.

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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 analytics@dmaiph.com or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.

APEC Data Science & Analytics Key Competency #1: Operational Analytics

According to the APEC (Asia Pacific Economic Cooperation)  Advisory Group, Operational Analytics is one of the key competencies of a Data Science & Analytics professional working in the region.

By definition, a DSA professional uses data analytics and specialized business analytics (i.e. business intelligence) techniques for the investigation of all relevant data to derive insight in support of decision-making.

Operational analytics is made up of all the analytics processes within an organization that take data and transforms the data into actionable intelligence. In short, this is management reporting.

Without a doubt the most widely used form of analytics, management reporting is deeply ingrained into the culture of data-driven organizations.

I often liken management reporting to a pyramid. The bottom of the pyramid is the data or the base of decision-making in an organization.

The middle of the pyramid is the processes of operational analytics. Where the data is transformed.

The top of the pyramid is the decision-making. Managers need intelligence that comes in the form of insights. Great analysts deliver these insights in reports, dashboards and visualizations.

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 analytics@dmaiph.com or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.

Teaching Analytics: APEC List of Competencies

Teaching Analytics: An Instructor’s Guide to implementing the recommendations of Project DARE (Data Analytics Raising Employment).

APEC (Asia Pacific Economic Cooperation) hosted an event on May 4-5 bringing together over 50 analytics experts and visionaries from over 14 counties across the Asia-Pacific region to form an advisory group.

The APEC Project DARE (Data Analytics Raising Awareness) Advisory Group started with an agenda set to develop recommended “APEC Data Analytics Competencies.

There are still being finalized, but as of last week here is a high level of the competencies that we came up with:

Business and Organizational Skills

  1. Operational Analytics: Use data analytics and specialized business analytics (i.e. business intelligence) techniques for the investigation of all relevant data to derive insight in support of decision-making.
  2. Data Visualization and Presentation: Ability to create and communicate compelling and actionable insights from data using visualization and presentation tools and technologies.
  3. Data Management and Governance: Develop and implement data management strategies and governance, incorporating privacy, data security, polices and regulations, and ethical considerations.
  4. Domain Knowledge and Application: Apply domain-related knowledge and insights to effectively contextualize data, achieved by practical experience (e.g. apprenticeships) and exposure to emerging innovations.

Technical Skills

  1. Statistical Techniques: Apply statistical concepts and methodologies for data analysis.
  2. Computing: Apply information technology, computational thinking and utilize programming languages and software and hardware solutions design and development for data analysis.
  3. Data Analytics Methods and Algorithms: Capture, clean and inspect data. Evaluate and implement data analytics and machine learning methods and algorithms on the data to derive insights for decision making.
  4. Research Methods: Utilize the scientific and engineering methods to discover and create new knowledge and insights.
  5. Data Science Engineering Principles: Use software and system engineering principles and modern computer technologies, incorporating a data feedback loop, to research, design, and prototype data analytics applications. Develop structures, instruments, machines, experiments, processes, and systems to support the data lifecycle.

Workplace Skills

  1. 21st Century Skills: Exhibit crosscutting skills essential for DSA at all levels including, but not limited too; collaboration, customer focus, communication and storytelling, organizational awareness, critical thinking, planning and organizing, problem solving, decision making, business fundamentals, awareness of social and societal awareness, intelligibility, cross cultural awareness, dynamic (self) re-skilling, professional networking, ethical mindset and entrepreneurship.

Once this list is finalized I will update you all.

My end goal is two fold, (1) to help craft a version of the competencies into an academic discipline that the Analytics Council can present to CHED for adoption and (2) to design a vocational education track to address the basic skills needed for entry level DSA work here in the Philippines.

Stay Tuned!

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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 analytics@dmaiph.com or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.

Top 5 Reasons to Attend the Digital Transformation Summit 2017

From the Global Chamber® Manila Newsletter

May 9, 2017

  1. Be inspired by an all-star lineup of speakers, who are already gaining significant benefits from adapting new technologies
  2. Learn about various technological platforms such as AI, IOT, Big Data, Analytics, and how it’s disrupting businesses
  3. Reflect, reexamine your company’s issues and goals, and set your vision and new strategy for the next decade
  4. Engage and network with executives and fellow thought leaders
  5. Empower the culture of innovation within you!

Not registered yet? It’s not too late to sign up!

I will be one of the speakers, talking about Data Storytelling. It is quite an honor to part of this awesome event! 🙂

Attend one or both days of the Digital Transformation Summit this May 24 and 25 at SMX Aura Convention Center.

Why Focus on Data Analytics Competencies?

Later this week I will be attending the APEC Project DARE (Data Analytics Raising Awareness) Advisory Council in Singapore to discuss Recommended APEC Data Analytics Competencies.

Why Focus on Data 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 (see Acknowledgements) 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.

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DMAIPH and Analytics Education

Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. As a key parnter of the Data Science Philippines Meetup Group, 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 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.

About Project DARE

Project DARE is an initiative of the Asia-Pacific Economic Cooperation led by the United States (U.S. Department of Labor) with co-sponsorship from the governments of Australia, Japan, Malaysia, Peru, Chinese Taipei, and Viet Nam. As a project of APEC’s Human Resources and Development Working Group (HRDWG), Project DARE seeks to enable APEC workforce with the data analytics competencies demanded by employers today and to secure the jobs of tomorrow.

Analytics in the Philippines 2020

The year 2020 used to sound like it was so far off in the future.

Yet, there it is on the calendar… just a little more then 2.5 years away.

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2017 is the fifth year of my original five year plan for DMAIPH.

Now I’m starting to think about the next big strategic plan and for this iteration I’m gonna work with a 2.5 year plan. Because things are evolving so quickly when it comes to analytics in the Philippines.

For the rest of 2017 the big goal is to evolve our public and in-house training options with our partners at Ariva Events Management and the Rock Stars of Data.

At the same time we will work in solidifying several key business partnerships with the Analytics Council, APEC Project DARE, BASE (Business Analytics Society of Educators), Data Science Philippines and Global Chamber Manila.

There are so many amazing things happening right now in the Philippines that about a year ago seemed to be distant horizon stuff. Its both amazing and a little scary to think where things might be a year for now. Let alone 5.

17426122_1095825400562902_5936762267508985241_nSo the birth of the 2.5 year strategy plan is here.

By 2017, my goal was to make DMAIPH one of the top names in analytics in the Philippines. Mission accomplished.

By 2020, my goal is to make DMAIPH “the” top name for analytics training in the Philippines.

Come along for the ride!

Business Strategy with Analytics – Aligning a business strategy to drive an organization forward requires a robust analytics solution. Businesses who have good analytics tend to be much more profitable and efficient then ones that do not. DMAIPH has helped dozens of companies in both the U.S. and the Philippines with adding more data analysis in their business strategy. We have joined up with our key business partner PMCM Events Management to showcase our solutions at #TechToniPH in July 2017. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out what we can do to help you align your business strategy with analytics.

Sales Analytics Tip: How To Size Your Market

The Sales Champ, Jonathan Petalver, and the Analytics Guru, Dan Meyer, will be conducting a two day workshop on Sales Analytics on July 24-25 in Ortigas.

https://dmaiph.com/analytics-solutions/sales-analytics-quantitative-results-through-qualitative-approaches/

One of the tips we will share with attendees is our strategies for assessing the size of your market. Every business, every product or service, every salesperson has a unique market that it is trying to capture.

As analytics guru, Bernard Marr said, “If you don’t understand the size and potential of your market you can easily jump to conclusions about how viable your business proposition is. Market size analytics is the process of working out how large the market is for your products and services, and whether there is sufficient growth potential.”

The size of your market can be measured terms of volume (how many units sold), value (money spent in that market) or frequency (how often a product or service is sold). It is important to start to gather data points like these and track them over time. You will be able to build a strategy built on numbers, not just gut feel or your best guess.

Useful data includes government data, trade association data, financial data from competitors, and customer surveys. You will be surprised how much data is available just by doing a google search. They you can look at sites that produce and share data for free. And finally you might even consider buying data for your analytics.

strategy_istock_olm26250_thumb800Another important tip Just because a market is large doesn’t mean it’s profitable – especially if most of the customers that want a particular product or service already have one and are unlikely to want another. A lot of people get caught up in the width of the market, but forget about the depth. Sales analytics will help you determine opportunity in both dimensions.

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 analytics@dmaiph.com or connect with me directly so we can help you take advantage of this unique global opportunity.