Analytics Resource Speaker at Your Service

Analytics is my passion. I live to have conversations about using data to drive decision-making.

I share my passion through a variety of communication channels including my new book, Putting Your Data to Work, my blog (www.dmaiph.com), corporate trainings, and various public speaking engagements at conferences, seminars and schools.

Given what I have learned about your program so far, I am confident I can produce a high quality online training for your audience. If we are to target development professional, I can speak about how to enhance data gathering, improve data analysis and deliver impactful reports.

If we want to go broader, I can focus on a more general overview of how to infuse more analytics and data-driven decision-making into just about any organization.

The beauty of what I do is that just about everyone needs guidance in trying to get a handle on their data and use it to tell better stories. It is not hard to tailor a talk that give the audience exactly what they need when it comes to understanding and using analytics. I can  adjust my presentation based on the tech skills and data geekiness of the audience as needed.

If you are in a situation where you need a subject matter expert on analytics to help your audience to get excited about analytics, I am your man.

Getting To The Cutting Edge with HR Analytics

When I talk about HR Analytics, like I recently did at SMX as part of the 10th annual HR Congress, I generally break things into 4 topics areas. The four are:

  • Cutting Edge HR Analytics
  • Finding the Right Data
  • Key Analytic Techniques
  • Actionable Reporting

Teams that are successful in each of these 4 areas, will be ahead of the game when it comes to keeping HR at the forefront of defining, aligning and implementing business strategy.

Cutting Edge HR Analytics happens when you have the right combination of talent, technology and technique. You need the right people using the right technology and employing the right techniques to be successful when it comes to HR in the 21st century.

Being able to find the Right Data at the right time happens when you have the 3 T’s in place. This allows you to have all the data you need to answer business questions at your finger tips. And it allows HR to be the primary source is setting and guiding the execution of business strategy.

You can use Key Analytics Techniques to help you not only find the right data, but also to add new data sources and to build impactful reporting solutions. And you can share your techniques across the organization to empower others to use HR Data to drive business strategy.

The end goal of using HR Analytics is to provide actionable reports that keep the business aligned to its core strategy. By identifying opportunities and risks, by sharing data and analysis across the organization and empowering data-driven decision-making, HR Analytics is the key to success for any business.

If you are interested in learning more and would like to get a copy of Putting Your Data To Work , connect with me via e-mail at analytics@dmaiph.com

HR & Recruitment Analytics – The recruitment and retention of top talent is the biggest challenge facing just about every organization. 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.

An Analytics Guidebook for the Filipino Recruitment Professional

My next book will be out shortly, and it is born out of a need to help the tens of thousands of professionals involved in recruitment in the Philippines.

I have conducted dozens of HR and Recruitment seminars and spoken at least as many recruitment themed events over the past few years.

The most consistent feeling across all of my interactions with Filipinos involved in recruitment is one of almost overwhelming challenge. There are simply not enough qualified candidates to fill open job postings. And even when candidates are hired, the % who attrit prematurely is at an all-time high.

This disparity between supply of qualified talent and demand of open jobs has continued to widen over the past several years. This is especially true for jobs that require a certain level of proficiency in foreign languages and high tech computer skills. The boom in the number of BPO and call center jobs in the Philippines is the biggest reason for this inequity between supply and demand.

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I often say, recruitment for the call center industry in the Philippines, right now, is one of the hardest jobs on the planet. Few places around the world are seeing such a concentrated effort to attract and retain employees from a fairly finite talent pool.

This analytics focused book, which is based on my interactions with thousands of Filipinos working in recruitment, is a much needed guidebook to find new and innovative data-driven solutions in the recruitment process.

As you read through this book, you will be exposed to proven methods to super charge your recruitment process and provide you with whole new perspectives on how to recruit and retain talent in your organization.

Each chapter will also introduce you to a new recruitment analytics metric that will empower you and your team towards a higher level of success when it comes to finding the right people at the right time.

Thinking Through the Box

  1. An Overview of HR & Recruitment Analytics
  2. The Global War for Talent
  3. Analytic Techniques for Finding the Right Data at the Right Time
  4. Where All Your People Data Lives
  5. Getting IT: Building Analytics Centric Cultures
  6. Big Data HR & Recruitment Analytics
  7. Talent Management Process Improvement
  8. Optimizing Excel Talent Pipelines
  9. Cutting Edge Business Intelligence, Data Visualization & Business  Dashboard Technologies
  10. Presenting HR & Recruitment Data & Analysis
  11. Aligning HR & Recruitment with Business Strategy
  12. Using Data to Market You Brand in a Buyer’s Market

The book concludes with a bonus chapter on Winning HR Recruitment Analytic Strategies with Big Data. The book is almost finished, but in the meantime if you are looking for help with recruitment, I am available for consultations and in-house trainings. Send an inquiry to analytics@dmaiph.com if you are interested in learning more about how I can help you use more data in your recruitment efforts.

HR & Recruitment Analytics – The recruitment and retention of top talent is the biggest challenge facing just about every organization. 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.

Sonic Analytics – The Premier HR & Recruitment Analytics Solutions in the Philippines

Sonic Analytics is an HR and Recruitment Analytics-centric consulting, outsourcing and training company with teams in the United States and the Philippines. We specialize in corporate HR & Recruitment analytics consulting, public analytics trainings as well as small and medium HR and Recruitment Analytics outsourcing.

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Our unique approach takes advantage of our extensive network among Filipino companies, call centers, BPO companies and top schools to identify recruit and train people who have the required skills to be a good HR or Recruitment Analyst.

We have created different analytics programs including Recruitment Analytics, HR Analytics, Business Analytics, Data Analytics and Data based Decison-Making.

Whatever HR and Recruitment challenges you face, we can work with you to enchance your organization’s performance through in-house training.

We’ll help you find new HR and Recruitment analytics technologies, methodologies, talent and/or reporting. We can also help you in assessing your current analytics culture and develop a strategy to enhance or improve your use of your talent management analytics.

We provide back office support from a pool of talented people specifically recruited for their analytical abilities. We specialize in setting up home based team of analysts who can do basic and moderately difficult types of analytics including PUBLIC DATA MINING, INTERNET RESEARCH, COMPETITIVE INTELLIGENCE, BUILDING BUSINESS DASHBOARD etc.

“In the end, HR & Recruitment analytics is all about finding the right data, analyzing it and reporting your findings to empower talent acquisition and management teams”

 

-Dan Meyer, President & Founder

Quick Analytics Survey: Reasons Why Analytics Projects Fail

I am in the process of sending out a quick analytics survey to my LinkedIn connections asking what is the most common reason analytics projects fail.

The survey will be extremely helpful as I am preparing a new book that focuses on why analytics projects fail. I want to list out the most common reasons and then add what can be done by analysts to prevent these causes of failure.

Here are the reasons I have come across in my career as an analyst and consultant.

Reasons Why Analytics Projects Fail:
#1 – Lack of Focus, no one makes the project a priority.
#2 – Lack of Vision, no clear idea of what the end product looks like.
#3 – Lack of Management Support, no support from above.
#4 – Lack of a Champion, no one to cheer team on to completion.
#5– Organizational Politics, gets killed by someone else.
#6 – Lack of Funding, not enough money to complete the project.
#7 – Lack of Talent, don’t have the experts need to be successful.
#8– Lack of Resources, not given all the tools you need to finish.
#9– Bad Data, you complete the project, but end up with bad data.
#10 – Key People Leave, someone leaves that can’t be replaced.
#11 – No End User Participation, not useful to those its built for.
#12 – New Technology, it becomes obsolete before it can be used.
#13– Over Reliance on External Help, slowed by waiting for others.

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If you have a reason, not covered by this list, please feel free to reply with that’s as well.

This future book will be a companion book to my recently completed Analytics Guidebook and my current book in process entitled Data-Driven Cultures.

If you are having problems in your organization with analytics projects faltering or failing to be the success you had hoped for, let me know. I can help you identify the cause, come up with a solution and help you ensure your analytics projects becomes a huge success to the organization.

Only Data Dinosaurs Promise “One Day” or “On the Spot” Hiring

In the ever quickening world of BPO companies in the Philippines, the latest recruitment slogans promise One Day or On the Spot Hiring. I even saw one today that promised a coaching session on how to pass the interview before the interview. Crazy. Like the last dinosaurs, these big companies are making a futile effort to avoid extinction.

Anyone ever involved in recruitment will tell you, that its hard enough to find good candidates, but trying to find rock stars with a one day, end to end, recruitment process is ludicrous. Not using more data and analytics in their process, will lead them to walk with the dinosaurs.

When it comes to trying to compress the recruitment process cutting edge companies look to technology and data analysis to help them narrow the field and make quicker hires. While dinosaurs just through more manpower at the problem. They ramp up with staffing staff and take shortcuts in skills assessment, candidate fit and potential success to meet the ever increasing demand for talent.

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When you see the headlines promising one day hires, you look at the companies and see they are doing things like its still the Jurassic Era. Resume screening in mass, scaled down skills tests and group final interviews. No demographic profiling, no analysis of the candidates distance to work or difficulty of commute, no predictive modeling based on candidate data to show likelihood of employee success. Its like watching a bad sci-fi movie about dinosaurs taking over the planet. It will not end well.

In today’s hyper competitive job market, only the companies who evolve to using more intelligent recruitment methods will prevail. The rest will someday take their place in a museum of failed BPO companies from the early 21st century.

And its not that expensive, not is it really that hard to invest in analytics solutions. The cost of ramping up and hiring more people to do hiring  is always more costly over time then a good business intelligence tool.

Instead of shortening your process to stave off eventual extinction, evolve your business to get with the times. Don’t end up like everyone else offering the promise of expedient hiring to fill seats, that in the end just need to be filled again and again. Hire a recruitment analytics expert, have them dig into your data and come up with a smarter solution.

I can show you how. I have helped dozens of BPO companies come up with analytics solutions that help them avoid the trap of one day hiring. Connect with me if you want to survive.

HR & Recruitment Analytics – The recruitment and retention of top talent is the biggest challenge facing just about every organization. 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.

The Four Corners of Me – Provincial Edition

As I sit here looking out my window at the beautiful city Cagayaon de Oro, I am taking stock of what it means to be me.

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It not even a beautiful picture as much as it is the fact that its not full of stuff.

When I am in Manila I try and balance what I call the Four Corners of Me, which are looking for new business opportunities, leading my current business ventures, creating analytics content and sharing my analytics expertise. At times it can be a lot to balance with the challenges that come with doing business in one of the most chaotic megalopolises on the planet.

At the intersection of the four corners are my mind, body, health and spirit. When those 4 corners effortlessly intersect, then then I can manage the four corners of my professional life. Given how the negative forces of Metro Manila like poverty, pollution, congestion, and corruption can sometimes sap my 4 inner corners, it can end up leaving my four outer corners out of whack.

Which makes this trip to CDO so well timed.

The conventional wisdom is that to set up a successful business in the Philippines you need to be in Manila. That’s where most of the players are, where the government is centralized and where most of the perceived best things are located. However, when you get out to the provinces, pretty much anywhere you will find expats who have bucked that trend and set up their own little business empires far away from the capital.

I have long thought I’d much more likely enjoy life if most of my time was spent in a provincial city close to the beach. I thought that in Iloilo, and in Bacolod. Now I can add CDO to that list of places I see myself in for a big part of the rest of my life. Business development can be done anywhere if you have your inner four corners lined up.

Managing my current businesses sure seems easier when my condo is two blocks from my office. But given I spent so much of my time outside Ortigas, and since I have a good management team in place, running things from the Visayans or Mindanao is not as farfetched as it used to be. We dabbled with having a team in Cebu and it worked well. So this is any easy one.

One of the beauties to what I do with most of my time, writing and blogging about analytics can be done from anywhere. Access to virtual resources and discussions about analytics in limitless. When I first set up shop in the Philippines in 2012, access to in person conversations about analytics pretty much required being in Manila. But not so much anymore. Having worked with schools in several provinces, the demand for good analytics contact is driving people to be much more open minded to where they find their solutions.

And finally, the training aspect. In many ways, the schools and businesses outside Metro Manila are more hungry for subject matter experts. The pressure to not only keep up, but show up things in the capital is quickening.

So, the dream of where the four corners of me is based in a province and not Manila is once again at the forefront. Thanks to the view outside my window for the inspiration to bring the dream back.

Why Analytics Projects Fail – #12: New Technology

Occasionally one of the problems that can doom an analytics project is a new technology that emerges and makes the project obsolete before it is even implemented. This happened to me once when we were using an older and heavily modified version of Business Objects and then we got access to Tableau.

At the time, the flexibility of Tableau made our Business Objects business dashboard obsolete before we even completed the design phase of the project. The data visualization and the ease of use of Tableau Desktop at that time was miles ahead of anything our IT team could build around Business Objects. As a result, countless hours and dollars were lost, but in the end at least the business requirements we had established could be done by end users in Tableau.

Another example of how a new technology might impact your project is when a new version of the database you are using comes out. One that requires some much QA and/or testing to meet internal guidelines, that when it is finally approved it is hardly useful any more.  This can often be the case with big companies that have long vetting processes to use new version of software. You’d be surprised how many Fortune 500 companies are still running internal version of Windows XP because using 8 or 10 has not been approved yet.

Modifications done in house to off the shelf solutions can also make new versions incompatible. I have seen this happen with both Cisco and Teradata databases, where internal development of data flows and data structures to be so rigid, it was impossible to use updated versions of the same databases.

You can also come across situations where developers and IT teams are ordered to use something else because changes in a vendor relationships or a new strategy from the CTO.  In the end you have to adapt and either sacrifice, lose, or give up on what you have put into the project so far.

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As the number of data collection and storage options grow, the complexity of data models surge and the types of business intelligence solutions increase, the likelihood of a big analytics projects being impacted by new technology. A good analyst has to stay up to date on what’s hot and new, in order to not advocate the use of something that is on its way to being a dinosaur.

To help me stay current, I follow several blogs and belong to a dozen analytics themed LinkedIn groups. I also try and attend at least one big industry conference a year as an attendee as well.  And finally I read a lot. I end up going through 3-4 analytics themed books a month. If you are facing a situation where you are worried your project might fall victim to a new technology, let’s talk about it. I can help you figure out a solution to keep you and your project on the cutting edge.

The key to using analytics in a business is like a secret sauce. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization. A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.

Analytics Culture – The key to using analytics in a business is like a secret sauce. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization. A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.

Why Analytics Projects Fail – #11: No End User Participation

One the most overlooked and under appreciated parts of assuring a successful analytics implementation is getting the participation of end users. End users being defined as the consumers of either the data, the analysis and/or the reports that come out of the project.

I can tell you countless horror stories about stacks of reports that go unread, email summaries that are never opened and business dashboards that are rarely clicked on. In most cases, all because the end user was not involved in the project or its development process.

One example of this is when the ones who need the reports are not asked what they need in the report.  This is more common than you might think. Requirements, no matter how well thought out, will always overlook something someone needs. Another reason is not finding out how the end users want it to look. They often are omitted from the design phase and just left to use it. Worse it’s possible that what is delivered in not even compatible with other things they do. This leads to failure by not being useful, a complete waste of time and resources, especially yours.

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The best way to assure end user use is to have them involved at the earliest stages of the project. If you are selecting the project team or have influence on the team makeup, make sure you get an end user who can speak for that audience. It might be more than one person.

Another way is to keep the end-users informed and allow for feedback. Finding ways to work feedback into your project is another place you would be surprised by how often it is not done.

And finally make sure you build in a testing period before your project goes into production. In some cases this might include the feedback phase, but in big projects there is often a need for end user testing. If you don’t shepherd this effort, who will?

If you are no sure how to go about involving the end users and/or are not sure of who all the end users might be, then you should really answer those questions as early as possible. No one wants to see their hard earned work just end up in the trash bin because it does not fit the need it was designed for.

The key to using analytics in a business is like a secret sauce. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization. A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.

Analytics Culture – The key to using analytics in a business is like a secret sauce that fuels Data-Driven Decison-Making. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization.

A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.

Why Analytics Projects Fail: #1 – Lack of Focus

Lack of focus is common reason analytics projects fail. Keeping a focus on any project can be a challenge for companies that are not well organized. If you are an analyst or trying to champion analytics in your organization and are up against a lack of focus, I have some ideas for you.

First off, size really isn’t a factor when it comes to the organizational culture towards being organized. In some cases size makes the problem more apparent, but size can also mean more resources, so in most cases its really not a serious issue.

There is generally a strong correlation be the way data is handled in a business and how organized the company is in other ways. Lots of paper, manual processes and clearly define process flows may look organized, but it’s highly unlikely they deliver the type of data leadership really needs.

Lack of focus often happens when leaders seem overwhelmed and say they don’t have time to dedicate to things like analytics. The first thing you need to figure out is are people resources really stretched too thin or is it more a cultural issue where being too busy is more of a badge of honor.

The best way to deal with overworked teams is to start putting data around what they do every day and come up with solutions to improve time management and delegation.  Few people can truly say they have extra time, but everyone can say they need to figure out how to manage time better. A good analytics solution does just that.

Few people can rationally explain why their job would be harder if they had more analytics.  So it’s not too hard to get people to buy into the concept of analytics, but to get them to buy into the actual practice you need to be part salesman and part storyteller.

You need to show them the value putting a greater focus on your analytics project will bring to both the business as a whole and to each individual involved in the project. Besides showing data to champion the use of more data, you need to tell stories about how its helped in other places. You need to get them to envision how much better life will be once your project is complete.

Lack of focus can also come when the project is not well thought out of you get scope creep… when additions are made to a project that start distracting people form the original goal of the project. It is hard to stay focused when you don’t see focus in the project itself.

The final point I’ll make is that you also need visible and consistent buy in from the person(s) in charge. If they are not advocating for analytics, then your project will never get the focus from stakeholders and project team members you need then you will fail.

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Analytics Culture – The key to using analytics in a business is like a secret sauce that fuels Data-Driven Decison-Making. It is a unique combination of analytics talent, technology and technique that are brought together to enrich and empower an organization. A successful analytics culture is not easy to create, but DMAIPH can show you how. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can build a strategic plan to turn your company into analytics driven success story.