Staying Current with Analytics

Every few months I devote a day to discover what the current trends in analytics are. I do this both to refresh the slides in my presentation and to refresh my mind to see what I may have missed.

The amount of literature out there on analytics continues to blossom at an amazing rate, making it a true challenge to stay well versed on what’s hot and what’s not. I read a new analytics themed book at least once a month and I follow dozens of blogs, web sites and social media groups. Being well versed on what is current in analytics is a key to success.

Every time I go to list the top 5 analytics trends, I find that some things change and some stay the same. Ever since I have been writing about analytics, data visualization is near the top. Business dashboards continue to be a big need. Business Intelligence (BI) tools evolve and new ones’ pop up, but Tableau continues to be a market leader.

That said, we are still squarely in an MS Excel dominated world. Upwards of 80% of Filipino professionals I recently surveyed still use Excel as their primary tool for data analysis. And even the ones who have dedicated BI tools, still use Excel for 75% of their analytics work.  The adoption of BI tools is trending upward, but the curve is still very step.

Another trend that has been on the upswing is how more and more data is now unstructured data. The discussion on what is unstructured data and how best to mine it and integrate it with structured data has really been at the forefront for a while now. Going from 80% structured to 90% unstructured in just a few short years as mankind generates unprecedented amounts of data not easily captured in a database every day.

As October 2018, if I had to pick 5 current trends in analytics to talk about it would be:
(1) How to Conduct Impactful Data Storytelling,
(2) The Analytics and Data Science Talent Shortage,
(3) Using Big Data Analytics for Digital Transformation,
(4) Optimizing Data Warehousing and Data Lakes,
(5) Which Tool Is Best; Tableau or Power BI, R vs Python, etc

And thats is not even touching topics that are on the cutting edge like machine learning, artificial intelligence and augmented analyst. Although those are super important to an overall understanding of how we can optimize data, these topics generally are several steps down the road from where my audience sits. They are still trying to master the fundamentals of business analytics and introductory data science.

So I spend a fair amount of time looking for YouTube videos or TED Talks  on these topics  to add to what i read.

The amount of information available to consume if immense. I guess as we have more and more data and more and more tools to analyze data, we will have more and more people writing about how to use data.

Its a fun time to be the Data Guy.

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DMAIPH – Decision-making, Analytics & Intelligence Philppines

Over the past few years businesses in the Philippines have invested heavily in big data, analytics and data science, but still have not achieved the expected outcomes of data-driven companies.

Based on our learnings from the 100’s of Filipino businesses and 10,000s of Filipinos who have taken part in DMAIPH Analytics trainings all across the country, we have crafted a proven,  non-technical approach to upskilling your team in analytics.

In 2019, we will be launching two new training programs: (1) Our DMAIPH Applied Analytics Master Class series for executives, leaders and decision-makers and our (2) DMAIPH Applied Analytics Boot Camp series for practicing analysts.

We will feature case studies of real Filipino run business, exercises based on actual analytics challenges being solved by Filipino analysts, and provide you with a copy of my book, Putting Your Data to Work, an analytics guidebook for the Filipino professional

Connect with us via our marketing partner, http://www.sonicanalytics.com to learn about upcoming analytics trainings and events. 

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More and More Frequently I Find What I Do Being a Form of Data Evangelist

The concept of a key influencer in a field being called ad Evangelist has been around business for awhile. I remember reading how early on, called their marketing people evangelists. One the comes to mind is Guy Kawasaki, who wrote about this in his book Enchantment.

When you have something that is either new or still young in its overall adoption cycle, you need evangelists to raise awareness and being the process of acceptance.

When it comes to data evangelism, there has definitely been a number of key leaders pushing for more and more adoption of analytics across various organizations. Bernard Marr is one I have followed quite extensively.

Based on the importance so many companies have placed on analytics in recent years, you would expect to find that just about every business leader buys into the concept of using data to drive decision-making.

To be sure, the tech giants and the banks have been on board for a long time and you have seen the adoption of large-scale analytics really start to have a lasting impact among major players in fields like professional sports, the entertainment industry and politics.

And nowadays, most social media platforms have lots of built in analytics that provide instant insight into what’s hot and what’s not.

However, both factual evidence and general observation are showing this is not necessary the case across the board. We still see headlines saying things like “62% of businesses have no data analytics strategy”.

In fact, many small and medium sized companies are still not where they could be when it comes to optimizing their business data.

Three of the biggest challenges they face are not really knowing what question to ask, how to manage the data so that it is well governed and getting the data to decision-makers seamlessly.

Terms like data interpretation, data collection, data governance, and data automation are not concepts easily articulated by many business leaders.

Having a data intelligent business culture is a lot more than just buying a business intelligence tool and putting it on top of Excel.

There needs to be solid foundation in all aspects of the data life cycle, a clean and well governed data lake to house all business data, and the ability to present data impactfully.

I have found that this is often the missing element when organizations are trying to craft an analytics strategy. They focus on technology or they go out and acquire high priced talent, but in the end they struggle because not enough of their decision-makers are on the same page.

As I train groups of professionals, both in public and in in-house trainings, I find most of the attendees do not have a solid foundation in how data is collected, stored and managed. They just know how to run reports, build simple dashboards and share data in ways that do not often influence the audience as intended.

So that is what I have found myself doing hundreds of times the past several years. Helping build that foundation. Connecting the dots between the various phases of the data life cycle and helping define the data value chain. Once an organization has that down, then going out and getting a fancy new tool or bringing on data science makes sense.

Being a data evangelist is all about getting not just 1-2 executives to buy into the power of analytics, but making sure the whole organization is in a place where they can truly optimize their data, become more business intelligent and compete on the same level as the big boys when it comes to making data-driven decisions.

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DMAIPH – Decision-making, Analytics & Intelligence Philippines

Over the past few years businesses in the Philippines have invested heavily in big data, analytics and data science, but still have not achieved the expected outcomes of data-driven companies.

Based on our learnings from the 100’s of Filipino businesses and 10,000s of Filipinos who have taken part in DMAIPH Analytics trainings all across the country, we have crafted a proven, non-technical approach to upskilling your team in analytics.

In 2019, we will be launching two new training programs: (1) Our DMAIPH Applied Analytics Master Class series for executives, leaders and decision-makers and our (2) DMAIPH Applied Analytics Boot Camp series for practicing analysts.

We will feature case studies of real Filipino run business, exercises based on actual analytics challenges being solved by Filipino analysts, and provide you with a copy of my book, Putting Your Data to Work, an analytics guidebook for the Filipino professional
Connect with us via our marketing partner, http://www.sonicanalytics.com to learn about upcoming analytics trainings and events.

Digital Marketing Analytics on November 24

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

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

Session One: Digital Marketing and Analytics

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

Session Two: Data Visualization Primer

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

Session Three: Predictive market segmentation

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

Session Four: Recommendation engines

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

Session Five: Marketing Attribution

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

Session Six: Sentiment Analysis

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

Session Seven: Digital Analytics Maturity

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

 

Training Investment:

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

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

GROUP RATE
P6,500 + VAT/ Participant

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

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

To register: http://bit.ly/2pzFQxx

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

 

 

 

Surfing the Storm: How the Philippines will Digitally Transform and Prosper in the Age of Big Data and Artificial Intelligence.

There is a wave of digital disruption fast approaching the Philippines. The initial impact of massive digital transformation is already being felt. Just look at what Grab, Uber and Waze did to the Taxi Industry.

The same thing will at some point impact every aspect of the Philippines economy from banking to retail to the BPO industry. Swift advances in technology coupled with unstoppable demographic forces are pushing the country forward at a quickening pace.

The big question is not when will digital transformation happen on a nationwide scale, but how much of what we currently see will survive the wave when we come out on the other side.

For organizations that are well prepared, they will see new avenues of revenue, benefit from more optimized ways of doing business and enjoy a much closer connection to their employees and their customers.

For businesses that are not well prepared, they will see constant disruption and many will likely not survive the transition to the digital age. All you have to do is look at who the world’s most profitable companies ten years ago and compare that list to the top companies today and you will see many examples of what happens to companies who did not adapt.

In the Philippines, call center capital of the world, with over One Million workers and at least 10% of the nation’s GDP, we see a massive threat from one of the keystones of digital transformation, artificial intelligence. As many as 70% of work force and an untold number of workers in supporting industries (well over an additional million Filipinos) will likely see their current job replaced or at least heavily impacted by technological advances.

There are things being done to address this and with the right solutions falling into place we can envision a massive upskill training of the workforce. However, when it comes to both digital transformation and artificial intelligence, the best way to mitigate risks and take advantage of new opportunities is by turning to experts that can guide a business through a process of evolution.

It is an unfortunate truth however, that in the Philippines, a significant shortage in data-driven leaders and tech savvy workers who can teach others is a key challenge.  Exacerbating the problem is that our current education system has not been as closely aligned with building data and tech skills as we would like to see.

Again, we see a lot of positive momentum in schools starting to offer data science programs and government entities updating curriculums, but they too struggle with the lack of experts who can teach the skills in high demand. This has led to a massive disconnect is the demand for data and tech skilled workers and the supply of qualified ones.

In addition, we have to recognize some hard truths about the way the youth of today and tomorrow learn. Besides updating our traditional education and corporate training models, we have to embrace new ways to learn. YouTube, Wikipedia, TED Talks, Coursera, the Khan Academy and an endless list of others… they are all lessons in digital disruption that can benefit us and guide us on our path.

So that challenge leads us to coming up with upskill training in data science, analytics, digital marketing, and a wide range of tech jobs for hundreds of thousands if not millions of Filipinos. On the plus side there are a lot of high quality solutions out there and a core element of thought leaders working on the skills problem. However, when you look at scale, there just simply is not enough of us currently to get close to the end goal.

The current ecosystem of industry associations, higher education institutions, government programs, independent training providers are all striving to meet the demand, but at times it is very fragmented. There is an overarching need for an umbrella organization to help unify the landscape. That’s what is behind the mission of the soon to launch Analytics Association of the Philippines.

As we bring together key players and influencers we can build an advocacy. Built on cooperation and a strategic vision to uplift the whole of the nation, we can tackle the challenges posed by the lack of experts and the skills mismatch. Together we can work to enhance the way we train, evolve the way we teach and use our influence to empower.

That’s my big vision for How the Philippines will Digitally Transform and Prosper in the Age of Big Data and Artificial Intelligence. We will use big data analytics as our surfboard to help us navigate the wave of digital transformation and come out the other side as an example of how a nation can come together and Surf the Storm.

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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.

 

DMAIPH will be at the Big Data Conference on Nov 15 – 2017 @ Enderun

http://conferences.enderunextension.com/conferences/big-data-analytics-summit-2017

This year’s theme is “Big Data Made Simple”

“Data is the new Oil” is the new mantra, and for good reason! The past decade has seen an amazing transformation of business. The top 5 largest listed companies by market capitalization are all from the IT sector: Apple, Alphabet (Google), Microsoft, Amazon, Facebook.  Contrast that with just five years ago when the list was dominated by energy and financial sector players.

These companies, who have now achieved global dominance, have one thing in common. They have mastery over data. The lesson: to thrive in business today, you must constantly innovate, and you must up-skill yourself and your team in understanding data through analytics.

My talk will be on “The Upskilling Challenge: Massively Scaling the Filipino Data Science & Analytics (DSA) Workforce

Data Science and Analytics Enabled Professionals are among the most in demand workers in the Philippines today. Additionally, the projected growth for DSA workers is estimated to be over 500,000 new DSA jobs in the next 5 years. For the Philippines to meet both surging domestic demand and take advantage of the global shortage in DSA talent, we will all need to take part in a massive upskill training program. I will outline the various roles required of us in this massive undertaking to digitally transform a significant percentage of the Filipino workforce. It should lead to some interesting conversations.

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Analytics Consulting – As a founding member of Gloabl Chamber Manila, DMAIPH specializes in a variety of analytics consulting solutions designed to empower analysts, managers and leaders with the tools needed for more data-driven decision-making. We have helped dozens of companies get more analytics in their business. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can tailor an analytics solution made just for your unique requirements.

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.

Upcoming DMAIPH Analytics Trainings

Analytics is my passion. I love empowering businesses with the solutions they need to make more data-driven decisions. To that end, I went into business myself to do three things; (1) empower managers and leaders how to better use analytics in their organizations, (2) enable more data-driven business cultures and (3) provide hybrid, virtual staffing solutions. If I can ever be of any assistance, please let me know.

I’d like to invite to a few Upcoming Analytics Events. All events are in Ortigas unless otherwise noted. Here are a few of them:

  • July 11-13 – Three Pillars of Data Science: Analytics, the Cloud and Data Storytelling
  • July 24-25 – Sales Analytics: Achieving Quantity Through Quality
  • August 3 – HR Predictive Analytics: Improving Talent ROI by Predicting Success
  • August 22-23 – Actionable Analytics for Team Leads
  • September 5-6 – Strategic Analytics for HR Managers

Case Studies and Exercises

In each training we will use case studies and group exercises throughout the length of the each class. In these activities, the group is divided into teams and 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.

Learning Investment

Early Bird Exclusive Offer!!

P 6,000.00 + VAT (1 DAY), P 12,000.00 + VAT (2 DAY) or 18,000 + VAT (3 DAY)

Group Rate Discount (Minimum of 5)
Save 1K per person.

Regular Rate:
P 7,300.00 + VAT (1 DAY), P 14,600.00 + VAT (2 DAY) or 21,900 + VAT (3 DAY)

Special Faculty and Student Rates available.

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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.

 

Top Data Science & Analytics Skills in Demand: 2017 vs 2022

One question I get asked a lot are what are the best skills to master for Data Science & Analytics (DSA) jobs right now?

Another question is what skills will be in demand five years from now.

With both questions, most of the ones asking are looking for specific applications or tools to learn. Often my reply is that it really doesn’t matter which tool or application you use as much as you get practical experience working with data.

My point is that job titles and technical skill sets come and go as technology evolves… what you really need to do is be in a place where your curiosity and critical thinking are continuously challenged. It helps to also be somewhere that encourages new solutions and has a culture that fosters innovation.

Not easy to find, but thats more important to me then what you learn now. That said, I still have to answer the questions with some sense of what to learn and master so…

Here are some of the top DSA skills needed right now:

  • Management Reporting
  • Advanced Excel
  • Familiarity with Business Intelligence Tools
  • SQL Coding for Teradata Databases
  • Transforming Data Warehouses into Data Lakes
  • Business Dashboards and Data Visualization with Tableau
  • Predictive Analytics with R and Azure
  • Predictive Model Building with SPSS
  • Data Storytelling

By no means a exclusive list… if you do a quick search of job posting for DSA professionals you will not find two job posts with the exact same requirements.  From where I sit, these are just the ones I see a lot.

When it comes to the future, I did a quick search and came up with this list…

Here are some of the top DSA skills likely needed over the next 5 years.

  • Natural Language Generation and Text Analytics
  • Human/BioMetric Analytics
  • Machine Learning
  • Prescriptive Analytics
  • Chat Bot Design and Maintenance
  • AI Virtual Assistants Design and Programming
  • IoT Sensor Analytics

Again… not even close to a complete list, but you can get a sense of where things are going.

Assuming most companies mature past the basic analytics phase and that we continue moving towards AI solutions at the current pace, there will be a lot of new analyst jobs out there with new titles. Data Scientists will be busy solving a wide range of data challenges that currently still seem like Science Fiction today.

At least that’s my take as of now.

It will change.

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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.

OFW Recruitment Analytics = Zero Hits on Google

So in a few weeks I will be speaking at an event for OFW Recruitment Agency owners, managers and recruiters.

I didn’t expect to find much data on how analytics is used to measure effectiveness and to optimize the OFW recruitment process, but I was kinda hoping something might pop up.

So questions I’m hoping to find some insight into:

  1. Do agencies find value in retaining or re-contracting OFWs for additional employments?
  2. Do agencies use any analytics in their demographic profiling to recruiting certain types of OFWs from targeted geographic, social economic, religious, or live of education groups?
  3. Do agencies have data on how they stack up next to competitors who are filling similar requirements?
  4. Do agencies have internal business data that is used optimize operations.

My gut tells me although you’d hope I here yeses in response to these questions, most agencies would actually answer with a no.

Just on the off chance anyone knows of any studies, research projects or public data on analytics and OFW recruitment, thought I would share this.

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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.

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.