I Need Analytics Training. Where Do I Start?

If you put yourself in the mind of the typical Filipino professional looking for analytics training, it is not easy to figure out where to start.

The ecosystem is not very unified, with a hodge podge of public training solutions available and only dozen or so schools offering analytics.

To someone who is relatively new to using big data to solve business problems, it can all seem very nosebleed inducing as well. Data science, predictive analytics and machine learning can all sound complicated and expensive.

So where do I start? That is a very common question I get asked when I talk about analytics in the Philippines.

The answer comes in three parts. First we need a framework to set certain standards and definitions of what a Data Science and Analytics enabled professional should know.

We base that on the set of 10 DSA competencies as defined by APEC’s Project DARE,

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(Props to my fellow AAP board member Sherwin Pelayo for the awesome images)

Since few people need to know everything about everything, it is best to figure out which competencies you want to focus on first.

Once you have an idea of where to start, then the next step is determine what kinds of job skills match the competencies you are looking to develop.

This can be done by determining where in the data life cycle you are looking have an impact,

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Once you have a firm idea of the skills you want to build and where they fit into the analytics life cycle of your business, then it is a matter of planning out how to level up.

This is where the AAP has take APEC’s competency list  and broken then out across the various job functions along the analytics life cycle by level of skills required.

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This allows us the ability to determine where we are in terms of analytics maturity and design the appropriate plan to level up.

And that will lead you to one of the AAP member companies for the appropriate type of corporate training or to one of the AAP member schools for the right higher education solutions.

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And that is how you can get a better idea of what type of analytics training is best for you and your business to get started with.

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.

 

 

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Augmented Analytics: A.I., Machine Learning & Predictive Analytics

I recently spoke about Augmented Analytics: Trends in Artificial Intelligence, Machine Learning and Predictive Analytics.

Much has been made about the business implications of recent, rapid advancements in cognitive computing.

It’s no longer just a pair of eyes scanning data.

We now face the reality of advanced analytics tools to help human knowledge workers glean actionable insight from vast and deep lakes of historical, transactional and machine-generated information.

This is augmented analytics and it includes concepts like predictive analytics, machine learning and A.I. If these are terms you have a general familiarity with, but haven’t spent much time thinking about how the related to big data, analytics and data science, then you should.

Business analytics today can be done with MS Excel and maybe a good BI tool, but business analytics tomorrow will require augmented analytics skills.

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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.

Data Science and Big Data Analytics For Finance

Was recently asked to do a one hour talk on data science and big data analytics for Finance… so I created A Step By Step Process To Get More Value Out Of Your Finance and Accounting Data.

To get started, we will discuss at a high level what is analytics, big data and data science and how it can be used in Finance and Accounting to get more value out of all the numbers you have in your business.

Per Deloitte, “In today’s highly competitive business environment, companies need more from Finance than accurate financial statements and reports. They need forward-looking, predictive insights that can help shape tomorrow’s business strategy and improve day-to-day decision-making in real time. “

New IT applications and infrastructure such as big data technologies, predictive analytics, as well as modern mathematical methods are opening up new possibilities for gathering and processing large amounts of data and opportunities for generating value.

They keys to a sound data science and analytics approach to Finance include the following:

  • A Process for Using Big Data to Answer Business Questions
  • A Well Mapped Data Lake of all the Data Finance Needs
  • The Right Mix of Analytics Talent, Technique and Technology
  • A Top Down Embrace of an Analytics Centric Culture

By translating data into insights around financial statements and operations, the finance team can unlock and create new value. Being able to identify unrealized and often unexpected potential as well as quickly and decisively mitigating risk, data science and analytics can take your team to a new level of insight and performance.

This in turn supports the finance function to make better decisions by being able to understand what has happened and why, and then predict what may happen next. The end result is a strategy built on data and one with a much higher rate of success then ones based on intuition or gut feel.

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The Fundamental of Business Analytics – Business Analytics is the application of talent, technology and technique on business data for the purpose of extracting insights and discovering opportunities. DMAIPH specializes in empowering organizations, schools, and businesses with a mastery of the fundamentals of business analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out how you can strengthen your business analytics fundamentals.

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.

APEC Data Science & Analytics Key Competency #4: Domain Knowledge and Application

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

By definition, a DSA professional can apply domain-related knowledge and insights to effectively contextualize data, achieved by practical experience (e.g. apprenticeships) and exposure to emerging innovations.

In my own experience, I knew Wells Fargo data like the back of my hand, but my domain knowledge would have easily allowed me to the same great things with other big banks. When I toyed with the idea of moving into the health services industry, it was obvious my skills would be useful but I had a lot ot learn about the domain knowledge of healthcare data.

Since, domain knowledge represents knowledge and insight that is unique to the organization or industry and that analysts need to consider when conducting any data project. Without this knowledge, analytics solutions may not entirely address the real business problem.

In my experience, domain knowledge about the data being analyzed can sometimes be acquired through exploration of the raw data.  Often, good analysts become subject experts just by playing with the data and asking questions to domain experts about the data.

Given the dearth of analytics talent in many areas, reality will dictate that a lot of data projects will have to be done without sufficient domain knowledge. However, most experts would agree the best results come when the ones using the data, know the data.

So, it behooves companies to invest more in educating and enabling internal resources then looking outside for DSA talent. My solution to this is to introduce apprenticeship programs where subject matter experts train current staff with high DSA affinity who are currently working in other roles.

As an example, there are likely thousands of current call center agents who have the aptitude to be analysts an data scientists, but never had the opportunity to of into DSA. Given they are already employees with proven track records of success, they would be much more likely to have the domain knowledge needed.

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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.

DMAIPH Analytics Apprenticeship Program Starts May 15, 2017

Analytics Apprenticeship Program Starts May 15, 2017

This is a 3-6 month, paid apprenticeship program that will provide in-depth and hands on training with a range of analytics skills needed across various industries today. At the end of the apprenticeship, you will a very strong change of staying with DMAIPH or being referred to one of our key business partners.

We are looking for 3-4 highly motivated, tech savvy, young professionals or fresh grads to join our program. Past apprentices have gone on to have successful analyst careers in a wide range of companies including HP, Emerson, Citibank, Wells Fargo and

Skills all analysts will learn

  • How to apply the DMAI methodology of business analytics
  • Advanced Excel Skills like Pivot Tables, Marcos, Formulas and Data Visualization
  • Using Tableau for Business Dashboards
  • Using SQL and R for Predictive Analytics
  • The key aspects of Data Storytelling

In addition, each track will focus on specific skill sets including but not limited to:

  1. Business Analyst
  • Analytics Assessment Facilitation
  • Project Planning and Documentation
  • Management Metrics Reporting
  1. Finance Analyst
  • Financial Forecasts
  • Budget Planning
  • Expense Tracking & Reporting
  1. Events Management Analyst
  • Competitor Intelligence
  • Market Research
  • Lead Generation, Tracking and Reporting

Compensation package is dependent on experience and skills, but in the range of P20,000 a month.

Interested applicants should send an updated resume to danmeyer@dmaiph.com as well as plan on attending a group interview exercise on April 29 in Ortigas.  Group interviews will be held from 10am-12noon and from 5pm-7pm at Unit 1704 Prestige Tower on Emerald Ave (F. Ortigas Jr. Rd) at the office of IBA.

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Analytics Jobs – 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.

Data Analytics or HR Analytics? Which Should I Attend?

Here at DMAIPH we offer a variety of analytics training solutions to organizations here in the Philippines.

Our two most popular offerings are Data Analytics and HR/Recruitment Analytics.

We get asked a lot, what is the difference.

Well, in general the Data Analytics classes like our Big Data Analytics & Business Intelligence training this coming May 18, are designed for a general audience.

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HR/Recruitment Analytics classes like the upcoming HR Big Data & Recruitment Analytics training on March 14 in Ortigas, is designed for a much more specific audience of HR and Recruitment professionals.

 

Data Analytics attendees come from a wide range of companies and have perform a variety of job functions. The one thing they all have in common is that they are looking for data analytics techniques and technologies to help them get a handle on all the Big Data they have to work with everyday.

HR/Recruitment Analytics attendees are all working as part of Talent Management teams in HR, Recruitment, Training, Operations and other parts of an organization that primarily handle people data. So case studies, exercises and the lesson plan itself are all focused on how to use the people data in the business to enhance and empower people centric decision-making.

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HR and Recruitment professionals can benefit a lot from attending the Data Analytics trainings and we generally have a few do just that. However, for a more focused approach to getting a handle on people data, the ones who attend the HR/Recruitment Analytics trainings will probably get a little more practical application to use when they return to the office.

Target Attendees for Data Analytics:

  • Data and Business Analysts
  • Managers and Supervisors of Analysts
  • Professional Staff who create reports and manage data
  • Decision-Makers who need more analytics

Target Attendees for HR/Recruitment Analytics:

  • HR and Recruitment Analysts
  • HR and Recruitment Managers and Supervisors
  • HR and Recruitment staff who work with a lot of people data
  • Data and Business Analysts who work closely with people data

Hope that helps you decide which one to attend.

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.

HR & Recruitment Analytics: Win The Talent War (Mar 28 in Ortigas)

Updated 11/19/16

It’s pretty clear to anyone who is paying attention that the current talent acquisition challenges facing BPO’s in the Philippines is getting worse at an alarming pace.

This trend is echoed across the planet as we have had a global failure in approaches to preparing the youth for the careers we need them to fill. There are several initiative underway in the Philippines to address this, but at this point its just a drop in the bucket when you look at the projections for talent with analytics skills, management potential and a strong work ethic.

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Check out our next training on March 14 in Ortigas. Here is the link >>>

I recently came across this post on LinkedIn that outlined 5 things that we need to work together to do to make sure the generation hitting the workforce now and especially the generation now in school, ready for prime time.

The talent shortage is particularly serious at the middle-management level as companies dither over how to develop high-potential entry-level employees into more senior roles within their organisations.

Solving it requires planning for the long-term and building a talent investment strategy into the corporate culture, which suggests that solving the talent shortage calls for new thinking, new approaches, and collaboration on an industry-wide scale.

Relying on the traditional education path – universities – to fill the talent needs won’t work because that will take years. We a faster solution – one that combines a multi-pronged approach, and one that is collaborative across all players in the business.

The article concludes with five ways of helping to solve the talent crisis threatening companies small and large all across the globe.

  1. Industry collaboration: Industry leaders joining forces to work with universities, colleges and trade associations to develop specific education programs to fill the expected openings.
  2. Expanded in-house and external education options: A growing number of firms are developing their own education programs making full use of senior existing internal expertise.
  3. Job rotation programs: A ‘talent exchange’ rotation to promote cross-functional development, which would also keep employee interest.
  4. Formalised knowledge transfer: Capturing people’s knowledge before it “literally walks out of the door” into retirement.
  5. Becoming an employer of choice: Taking steps to ensure that the company is an attractive place to work by providing competitive salaries linked to a valued career path.

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DMAIPH can help you by consulting with your management team on how to get ahead of the curve, by providing training to your team on how to optimize your talent acquisition an retention programs and/or by providing you with talent to fill your open positions.

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.

HR & Recruitment Analytics: Getting “IT”

HR Data is integral to the success of business strategy.

HR Data Analysis can drive decision-making and not just align, but shape business strategy.

HR Data and Analysis that uses Data Visualization and feeds Business Dashboards is enchanting to decision-makers.

When you have IT in your HR Analytics process you are enchanting. That should be your goal.

So how how exactly do you align your HR data to the business strategy.

  • Have the 3 T’s (talent, tech and technique)
  • Use the 3 I’s (identify, inventory and integrate)
  • Make Friends
  • Think Outside the HR Box
  • Keep Your Data Lake Clean
  • Share Your Data and Analysis
  • Visualize and Enchant

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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.