HR Big Data and Recruitment Analytics – March 28, 2017 in Ortigas

Thinking Through the Box: Aligning Your HR & Recruitment Analytics Strategy

A one-day learning session focused on Aligning Your HR & Recruitment Analytics Strategy and is geared towards teaching how Analytic Techniques can be used to optimize data from across the organization.

LEARNING SESSION OBJECTIVES

  1. To learn analytics techniques that will allow quicker, deeper and more impactful analysis of HR & Recruitment Big Data.
  2. To be exposed to cutting edge technology being used in other companies to build HR & Recruitment business dashboards and design more powerful reports.
  3. To assess the current state of analytics in your HR & Recruitment process and build a strategy to empower the greater use of analytics in your organization.

Session 1: Big Analytic Techniques for Finding the Right Data at the Right Time

  • Describe what is Recruitment Analytics
  • Discuss the current state of analytics in the Philippines
  • Describe the Importance of Effectively Analyzing Big Data in Business Today
  • Enhance communications and data sharing with the marketing team
  • Optimize the use of existing and past employee data Find synergies across company social media sites

Session 2: Key HR & Recruitment Metrics

  • Learn to let go of Recruitment Metrics of the Past
  • Start to use more Recruitment Metrics of Tomorrow
  • Defining Your Key KPIs to maximize value of reporting
  • Tying KPIs from across the business together
  • Unlock the Secrets of Money Ball Recruiting

Session 3: Cutting Edge Business Intelligence, Data Visualization & Business Dashboard Technologies

  • Optimizing Excel for use as a talent pipeline
  • Invest wisely in an applicant tracking system that includes key metrics
  • Utilize BI Tools like Tableau Public
  • Discuss the concept of Data Visualization
  • Build a Business Dashboard Prototype for HR & Recruitment Analytics

Session 4: Winning HR Recruitment Analytic Strategies with Big Data

  • Break down the data silos within your business to maximize shared information
  • Be decisive in the use of your data to align with business strategy
  • Learn to be enchanting with your reporting so maximize impact
  • Become the data cheerleader of your organization

In this session, your organization will be able to use:

  1. Develop analytic techniques that you can use to break down data silos, improve decision-making and ensure a better return on investment from recruitment.
  2. Explore analytics tools like business dashboards and data visualization to improve reporting.
  3. Build a strategy to move your organization from current state to ideal state when it comes to the use of analytics.

In this session, participants will be able to:

  1. Take part in hands on analytics exercises based on real business data to understand how to identify, inventory and integrate HR & Recruitment data into their recruitment processes.
  2. Build a strategy to identify, inventory and integrate data from across the business and align it with HR & Recruitment data.
  3. Build an HR & Recruitment focused business dashboard prototype.

In 90% of companies across the Philippines, data used by HR & Recruitment teams is not blended with data from other parts of the organization.

To ensure success, you have to not just think outside the box, but Think Through the Box to bring together all the data you need to align your HR & Recruitment Analytics with the overall business strategy of your organization. The incentive to align all the data in your business for use in recruitment is paramount to success. HR & Recruitment managers are now more than ever required to demonstrate the return on investment their efforts are contributing to the bottom line.

With that in mind, DMAIPH has created a learning session entitled: Thinking Through the Box: A one-day learning session focused on Aligning Your HR & Recruitment Analytics Strategy and is geared towards teaching how Analytic Techniques can be used to break down those silos and us data from across the organization to drive more impactful decision when it comes to your organization’s overall business strategy.

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LEARNING INVESTMENT

All rates includes “Putting Your Data to Work” an analytics book especially designed for Filipino Professionals, Training Module, AM/PM Snacks, Lunch and Certificate of Completion.

Early Bird Rate

P 6,000.00 + VAT (Pay the full amount on or before March 14, 2017)

Group Rate

P 6,300.00 + VAT/pax (Minimum of 5 members)

Regular Rate

P 7,300.00 + VAT (Starting March 15, 2017)

REGISTRATION

Kindly email us your Name, Company, Job Title and Phone Number. With the Subject: Data Analytics Seminar

info@sonicanalytics.com | analytics@dmaiph.com

You may contact us at (0917)799-2827 | (02) 959-8017

Terms and Conditions

  1. Seminar Registration

1.1 Seminar registration shall be carried out via Sonic Analytics’s Website or the link provided by Sonic Analytics or DMAIPH, by entering the necessary information into the relevant online application form.

1.2 After registration, the following will be e-mailed to the registrants: A) Confirmation email; and B) the Invoice

1.3 Contract for the seminar shall be deemed to be completed upon the receipt of the confirmation email. If a registrant’s application cannot be accepted due to lack of vacancies or for any other reasons, he/she will be informed immediately

  1. Cancelation

Cancelation by the delegate will be subject to cancelation charges as follows:

2.1) More than 15 days prior to commencement of the course: No penalty.

2.2) 6 to 14 days prior to commencement of the course: 25% of course fee.

2.3) 5 days prior to commencement of the course: 100% of course fee.

2.4) Failure to attend course without prior notice being given: 100% of course fee.

Sonic Analytics and DMAIPH reserves the right to cancel or reschedule a Public Course and in these situations every effort will be made to accommodate delegates on an alternative course or refund payment in full.

  1. Payment

3.1 Payment of the full course fee is required within 7 days of receipt of invoice. Failed to do so, the reservation shall be forfeited

3.2 The course fee covers training, venue, training materials, am/pm snacks, lunch and certificate of completion.

3.3 All stated fees are exclusive of VAT

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Brought to you in partnership between DMAIPH and Sonic Analytics

Looking Ahead To The Most Awesome Analytics Year Ever

A little over 5 years ago my Analytics Story begun.

The first year was all about validating my business plan of being an analytics resource to Filipino schools, companies and to a large number of Filipinos themselves.

The 2nd year was taking the concept, basic analytics training, and getting it in front of a variety of audiences to see what where the biggest needs in the marketplace.

Year Three saw us start focusing on the things that gave me both profit and satisfaction. Trainings for groups of professionals who were hungry to get more analytics into their businesses.

By the 4th year my priorities evolved to firming up the foundation of the business to ensure smooth operations so that I could focus more on what I do best; empowering analysts to use data to drive decision-making.

Last year saw it all come together. Year 5 was all about building a network to take my passion and do much more with it then my small team could take on alone. I trained more Filipinos across a wider range of need then I could have imagined. And yeah, we made a nice profit too. Also got my first analytics book published.

img_7910Now, as I look at year six I see the fruits of our blood, sweat and tears and I see nothing but growth. More and more Filipinos empowered to use data, across an even wider swath of backgrounds and in an ever increasing footprint.

2017 is going to be the most awesome analytics year ever, not just for me. Not just for my business. But for my beloved adopted home, the Philippines.

 

The Time Is Now: Be Part of My Vision that is Analytics in the Philippines

The opportunity of a lifetime is before us… for those who really get analytics and using data to drive decision-making in the Philippines. Companies are so hungry for it. They need help knowing who to hire, how to train them and understanding just what a team of analysts can do.

To me the biggest challenge is the lack of experts. Good analytics talent is in really short supply.

One of the reasons I see is that so many Filipinos who would be great analysts are stuck in jobs that don’t allow them to be awesome.

If  you are curious, you work hard, you like to fix things, enjoy solving problems using data… but you are making less then 25K and stuck doing mostly admin work or running reports, then you are not maximizing your potential.

Thats the reason behind the video. Im speaking directly to you. Your talent, your potential is undervalued and misused.

Working for me with DMAIPH will change that.

Much better pay and benefits, great perks like travel and a company laptop. Getting to be part of awesome things as I take DMAIPH from a top name in analytics in the Philippines to THE top name.

Stop worrying about requirements and being loyal to a company that really doesn’t use you to your full potential.

Change you life forever, and do it today.

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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.

Filipino Analytics Talent Demand Awesome Salaries

It’s really hard to get an accurate reading on just where is the market is right now in regards to the salaries for analytics talent in the Philippines.

According to Glassdoor here are some average salary range numbers for several in-demand positions:

  • Business Analyst (with 5+ year’s experience): 30-40,000 PHP a month
  • Data Analyst (1+ year’s experience ) 23-27,000 PHP a month
  • Data Scientist (with Graduate level degree) 58-70,000 PHP a month

Those are just averages, in reality I think they are on the low end of what’s being offered right now.

One thing is for sure, the current demand far outweighs the supply.

Just looking at jobstreet.com you can get a feel for that demand.

  • Business Analyst pulls back 1,090 jobs in the Philippines.
  • Data Analyst another 822.
  • Data Science brings back 999.

Sure there is some overlap, but if you add all the unique jobs up its well over 2,000.

I belong to a meet up group for data science in the Philippines with 2,000 members.

That’s an open job for each of us… and pretty much all of us already have data geek jobs already.

In the near term expect salaries to continue to shoot up.

As nationalism and automation begin to impact customer facing jobs, more back office work like analytics and data science will grow in importance for the BPO sector.

Recently I’ve been hearing stories of Filipinos landing 100K a month jobs in data science. And good analysts are not far behind, being awarded salaries well over 50K a month.

It’s a buyers market if you have data geek skills right now. If you don’t., the time to get them is right now.

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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.

No Two Days Alike…

I’m the kind of person who craves change.

I get bored kinda easily if I’m doing something routine.

But once I hit a spot where my passion can intersect with a new task, I go all in.

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It’s not really a short attention span.

I just like trying new things.

Thats why analytics is so amazing to me.

Looking at ever changing data to discover patterns and answer questions.

Helping people get turned on to a career as an analyst or helping a business in need of some analytics guidance is among my favorite things.

As I look towards the road ahead, I see lots and lots of  new experiences, new places and new challenges.

For me, no two days are ever the same.

And I love it!

Actionable Management Reporting

Except from my upcoming book on analytics for the small business owner…

One question I get asked a lot is what should someone do when they know the data they are reporting and/or using in their analysis is not the best data available?

  • Typically, Excel and PowerPoint are the primary tools used to provide management reporting to a company’s leadership. In the past few years there have been major technology innovations in business intelligence applications and data visualization software that have taken management reporting to a whole new level.
  • Recruiting has seen a huge increase in number and types of reporting tools available to deliver very fast and very detailed recruitment analytics.
  • This leads up to the concept of a business dashboard… which we will get to later.

No matter what part of the business you work in, the first thing to do is to define the current Key Performance Indicators (KPIs) being used in decision-making.  Often right off the bat, some of the KPIs being reported aren’t even being used.

You can do a simple survey, asking end users to rank in order of importance the KPIs they get. Also ask if the ones at the bottom are even useful or should they be eliminated if no one is using them.

At the same time you should be working on understanding what computations go into each KPI. Often we just do simple counts, total and averages that mask more important data. On the flip side, we tend to over complicate things with extravagant weighing and scoring. Either way, we need to make sure we know exactly what is being reported and how does the final data point come to its end state.

The next step is to look at the data architecture to make sure there is nothing happening upstream that might impact the data we are using in the KPIs. Before making changes to the KPIs we want to have the full view of what happens before the data gets to the end user.

Now we are at the point where we can start experimenting. What happens when we swap out data points? Or if we change a variable in a calculation? Or we pull the data from a different source? The questions are endless. Pick a few, make some changes in a test environment and start sharing the updated KPI data. See if it has more value with the end users.

Again, this shouldn’t be hard. But of course in many organizations a lot of consequences can result from a simple change to just one KPI. Spreadsheets may have to be reformatted, review processes may have to be updated, and dashboards may have to be redesigned. But in the end, what is more important? Making decisions with crappy data or setting a standard to let the reporting process evolve as the business evolves?

This come back to my point earlier, changing KPIs is as much sales as it is analysis… that you have to be ready to share a story, back it up with data, and really influence the minds of senior management that updating the KPIs makes good business sense.

If you are at a point where you are trying to figure out what KPIs aren’t working anymore or you need help in building a business case to change some KPIs, let me know. I’m here to help.

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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. 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.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Small Business, Big Data

“Without big data, you are blind and deaf and in the middle of a freeway.” Geoffrey Moore – Author of Crossing the Chasm & Inside the Tornado.

Without analytics, your company is vulnerable. However, just owning analytics tools isn’t enough. Extracting value from your analytics investment requires sufficient staff, well-defined processes, a clear business strategy, and leadership support.

All the Data We Create Each Day

Think about some of the things you do in your daily life. You get up, you eat, go to work/school, shop, do something for entertainment, bank, go online and do things on social media. Everything you do generates data. That data is captured in countless ways. And then it’s stored in countless places. And analyzed by countless numbers of people. And then used in countless ways by businesses to market, design, advertise, build, sell, and so on.

Every time you check your phone to see if there are any updates on Facebook you generate a lot of data for your phone manufacturer, your service provider and Facebook itself. Everything you like or comment on can be turned into a data point. The time, place and length of your connection all provide useful data. Get the point? It’s endless.

That’s big data.

In general, big data is thought of as all the data businesses capture and store in a database that they can use for business decision-making.

When you think of data collections that have millions and millions of rows of data like big bank transaction data, or traffic data for major cities, or all the statistics captured everyday across professional sports. Way too much for man to analyze without help from technology. That’s all big data.

Every business defines its big data a little differently. There is no one way to look at how best to manage big data because big data is such a living, evolving, never ending flow of information. It’s like lakes of water that are too big to swim across and too deep to dive to the bottom of without help. And no two lakes are alike.

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Small Business Analytics – The field of small business analytics is just starting to blossom as companies are looking for more data-driven decision-making to prosper in the age of Big Data. DMAIPH is at the fore front of providing analytics training, consulting and outsourcing options to small businesses. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation on how to get more analytics in your small business.

 

 

Current Trends in Small Business Analytics

Analytics as a discipline is constantly evolving. Advances in technology allow what was once expensive and difficult to now be at the fingertips of any business user.  The goal of analytics is “to turn data into information, and information into insight.” -Carly Fiorina, Former CEO of HP

Fiorina, highlighted some of the key steps in analytics. Reporting turns raw data into information that can be consumed by a company, and through analysis you turn information into insights. Taking her comments one important step further, you need to turn insight into action if you want to progress down the path to value with analytics.

Analytics is constantly evolving, so staying current is paramount to success.

Staying current is all about being strategic in time management. I have to stay up to date on current trends in analytics as well as with new analytics applications and technologies. Besides just staying current for my own benefit, I share relevant updates with my colleagues, clients and followers.

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 about once a month and I have well over 200 blogs, web sites and social media groups cataloged. So I like to think I’m pretty well versed on what is current.

If I had to pick 5 current trends in small business analytics to talk about it would be:

(1) Picking a Good Business Intelligence Tool,

(2) Mining Public Unstructured Data,

(3) Mapping Your Business Data Environment,

(4) Centralizing Various Data Sources,

(5) Understanding Data Science and Big Data Analytics.

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.

Small Businesses who want to optimize the use of analytics need to start with finding a good BI tool to help them make sense of their business data. MS Excel is the most common option to get started with.

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Small Business Analytics – The field of small business analytics is just starting to blossom as companies are looking for more data-driven decision-making to prosper in the age of Big Data. DMAIPH is at the fore front of providing analytics training, consulting and outsourcing options to small businesses. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation on how to get more analytics in your small business.

Let’s See How the Wind Blows: YouTube Video

For those who missed it: On CGTN, #Philippines and #ASEAN economies and security hang in the balance as Donald Trump takes over as U.S. President. Happy to add my perspective to current events impacting business in the Philippines.

Analytics in the Philippines – The Philippines is at the center of the action when it comes to solutions to the global need for analytics. Blessed with a solid foundation of young, educated and English speaking workforce, companies around the world are look for Filipino analytics talent to fill analytics positions. DMAIPH was set up to facilitate these solutions and bring the talent and the business together. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can help you take advantage of this unique global opportunity.

Global Demand for Analytics and Data Science Talent

There are not enough analytics experts and data scientists to go around.

I say this a lot.

Just did a quick google search to put some recent data points and commentary to back up what I say.

The mass adoption of big data has seen companies across sectors scramble to hire enough data scientists to glean insights and drive decision making.

A decade ago, explaining data science to employers was challenging. Few people understood the value of a skill set that combines computer science, statistics, operations research, engineering, business insights and strategy and the impact it can have on a business.

But things have changed over the last five years. Not only has the term “data science” become commonplace, but data scientists have become highly sought after in the marketplace

According to a 2015 MIT Sloan Management Review, 40 percent of the companies surveyed were struggling to find and retain the data analytics talent. And the picture is starting to look even bleaker.

International Data Corporation (IDC) predicts a need by 2018 for 181,000 people with deep analytical skills, and a requirement five times that number for jobs with the need for data management and interpretation skills.

A report by McKinsey & Company is frequently referenced, stating that by 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.

Deloitte’s Analytics Trends 2016 report notes that while there is a rising number of university analytics and data science programs (more than 100 just in the U.S.), they nonetheless can’t crank out enough sufficiently trained people to meet demand.

Consequently, the report recommends that companies should:

  • Actively recruit on campuses with data analytics programs.
  • Develop internships and student projects both as a recruiting tool and to groom students for an efficient transition to the general business world and company culture.
  • Establish meaningful and rewarding career paths with an infrastructure in place most likely to interest and attract new talent.

In a recent blog post, Facebook listed a number of tips for students to prepare for such fields. Chief among them: “Take all the math you can possibly take,” including probability and statistics. (And while you’re at it, the company recommends, make sure you take some computer science, and try to squeeze in engineering, economics, philosophy of knowledge, and the latest brain research, too.)

One of the reasons I am so bullish about 2017, is that appetite for analytics and datas science is through the roof. Finally, everyone is starting to get serious about how to infuse their decision-making with more data.

DMAIPH specializes in empowering and enabling leaders, managers, professionals and students with a mastery of analytics fundamentals. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out what we can do to help you acquire the analytics mastery you and your organization need to be successful in today’s data-driven global marketplace.

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Sources

http://www.business.com/recruiting/big-data-big-problem-coping-with-shortage-of-talent-in-data-analysis/

https://techcrunch.com/2015/12/31/how-to-stem-the-global-shortage-of-data-scientists/

https://content.pivotal.io/blog/mckinsey-report-highlights-the-impending-data-scientist-shortage

http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation

https://code.facebook.com/posts/384869298519962/artificial-intelligence-revealed/