Tag: #GrowMoreDMAIPH

Calling All Analysts! It’s Time To Step Up And Do More With Your Skills. Join The DMAI Data Science Team.

The DMAI Data Science Team

The DMAI Data Science Team is being assembled to offer companies and schools with the training and consulting they need to implement analytics strategies in their organizations.

Headed by analytics guru Daniel Meyer, this team of analytics professionals with diversified skill-sets will guide organizations as they build analytics teams, design analytics programs and empower the use of analytics to drive more data-driven decisions.

For your data science project to be on the right track, you need to ensure that the team has skilled professionals capable of playing three essential roles – Big Data Analyst, Data Modeling Analyst and a seasoned Business Analyst. The presence of these three types of analytics professionals, working together for a common goal, will result in proper analysis of relevant information for predicting the behavior of consumers, in line with the business objective.

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With this end goal in mind, we are looking for three super analysts to join our team and fill each of the components. Here are the roles:

Big Data Analyst:

The role of big data analyst is at the base of the pyramid. Data analysts constitute the foundation of a data science project and they are trusted with the responsibility of capturing, storing and processing the relevant data. Data Collection, Data Warehousing, Data Transformation and Data Analysis – these are typical tasks of a data analyst.

They are the professionals who play with the tools and frameworks, like Hadoop or HBase, in a distributed environment to ensure that all the raw data points are captured and processed correctly. The processed data is then handed over to the next group of people, the machine learning experts, for taking it further.

Ideal Candidate for the Big Data Analyst role: A Big Data Analyst is predominantly a technical role. The ideal candidate does not need to be very academic but must possess technical competency on the back-end frameworks and tools used for capturing the data points. If you are pro with Hadoop, MapReduce or HBase, then the role of a data analyst would perfectly match your profile. Besides technical acumen, analytical skills are also required to become a successful data analyst. A data analyst should be flexible to learn new tools according to the changing business needs and always be willing to upgrade to specialized techniques related to data analysis.

Component 2 – Data Modeling Analyst

Analytics modeling experts play the role of a link between the data analyst and the business analysts. They are primarily responsible for building data models and developing algorithms to draw conclusive information. Their job is to ensure that the derived information is well researched, accurate, easy to understand and unbiased.

Ideal Candidate for the Data Modeling Analyst role: Candidates with statistical background, having a deep interest in quantitative topics, and are usually preferred for the role of machine learning experts. The ideal professional must have a solid understanding of data algorithms and data structures in specific, and software engineering concepts in general. Knowledge and experience with both predictive and prescriptive analytics is a plus. Capability of handling computational complexity can be considered as an added bonus.

Component 3 – Business Analyst:

Data exploration and data visualization are the two most important responsibilities associated with the role of a business analyst. Business analysts work with front-end tools related to the core business and interact with the higher management of an organization. They further analyze business-level data provided by the data modeling analyst to find out insights related to the organization’s core business interests.

Another important responsibility of a business analyst is to coordinate with the big data analyst and the data modeling analyst to make them understand the business objectives and identify possible focus areas. The ultimate responsibility of a business analyst is to produce actionable insights based on the processed data and help the company leadership in their decision making process.

Ideal Candidate for the Business Analyst role: Business analysts should have expert level knowledge on the underlying business data and source systems. The ideal candidate should have an eye for details and must possess exceptional analytical skills. Moreover, solid understanding of the organization’s business model and the ability to think out of the box are two important qualities that all business analysts should definitely have. It is also important to have sufficient technical skills to come up with precise dashboards for representing business data in a structured manner. Experience with Tableau a plus.

If you are interested in any of these roles with DMAI, please email me directly @ danmeyer@dmaiph.com

Compensation packages will be negotiated based on experience and availability. A part-time arrangement is possible for a pre-defined time period as we build out the capabilities in the team. Potential ownership in a spin-off of DMAI is also a possible form of compensation.

The primary job functions of the team will be related to consulting and training organizations on areas of expertise as well as working together on analytics projects for clients.

Our end goal is to come into an organization and empower those in the organization to address needs in their analytics usage and to grow more competent analytics teams. We will do this for both companies using analytics and schools teaching people to be analysts.

It Will Be An Awesome Recruitment Analytics Training on August 4th.

Going to be training tomorrow on Recruitment Analytics with over 30 participants.

Topics covered in the training include:

  • What is Recruitment Analytics?
  • Recruitment Analytics in the Philippines
  • Self-Assessment of your Recruitment Analytics
  • Finding the Right Data at the Right Time
  • Applicant Tracking Systems
  • Big Data and Recruiting
  • Business Intelligence and Data Visualization
  • Making Data-Driven Decisions

A definition of recruitment analytics is simply the metrics and analysis that relates to recruiting.

However, we all know its actually a lot more challenging in practice.

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New technologies like social networks, applicant tracking systems and business intelligence applications are fundamentally changing the entire recruitment process from sourcing to placement.

The pressure to deliver results has never been greater.

HR and Recruitment managers are now more then ever required to demonstrate the return on investment their efforts are contributing to the bottom line.

The class size is maxed out, but I will be doing another session on September 1, 2015.

It All Starts With A Business Question…

A Business Question is any type of question that is asked to help understand the business better.

Business Questions are generally asked by executives and senior leaders to help them make more educated decisions.

Often middle management and professional staff are required to provide the answer to the question.

There is no bad question.

However, there are many bad ways to try to answer the question.

Good analysts are able to take the question and find data to answer the question, analyze the results and report their findings.

This is true with just about any kind of analysis work.

Learning how to best tackle business questions is what DMAI specializes in.

We have several upcoming events where I will be showing people how to answer business questions using the data they have in and around there business.

  • August 4 – Recruitment Analytics @ the DMAI  office in Ortigas
  • August 6 – Fundamentals of Business Analytics with Inspire @ the Richmond Hotel in Ortigas
  • August 11 – Data Analytics  @ the DMAI  office in Ortigas
  • August 13 – Big Data and Social Media Analytics @ PNP Headquarters in QC
  • August 27 – Big Data and HR Analytics @ SMX with Ariva  
  • September 1 – Recruitment Analytics @ the DMAI  office in Ortigas
  • September 15 – Data Analytics  @ the DMAI  office in Ortigas

Lots of opportunities to hear more about analytics in the coming weeks!

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More Reasons To Stay Then Reasons To Go

One of the downs in the up and down cycle of running a business is when people leave.

Employee retention is something all companies have to worry about. But few really try and do something about it.

I read a lot about why employees stick and why they leave.

I know that to stick they need to have basic needs met like a good salary, feeling valued, being appreciated and having a safe and comfortable place to work.

Work-life balance, a supportive leadership team and feeling productive are all important as well.

Here are my  Top Reasons To Stick with DMAI

  1. Work Life Balance
  2. Opportunity For Growth
  3. A Stable Client
  4. 80% E-mail – 20% Phones
  5. Exposure to Analytics
  6. Open-Minded and Supportive Leadership
  7. Competitive Compensation
  8. Working With Good People
  9. Being Valued by the Company
  10. Being Appreciated for the Work You Do

I am sure each of my team has their own top ten reasons for themselves.

It is almost always easier to fix whatever you don’t like about your current job then it is to leave and hope you can find something better.

Sticking with a job long term is not easy and its becoming less and less the norm, which makes it all the more special when you find the right spot for you.

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Doing What I Do Best

So I have been doing public speaking and professional training for over 3 and a half years here in the Philippines.

Honestly I takes a few minutes to recount all the times I have spoken about analytics… which is an awesomely good problem to have.

I have gotten used to many of the nuances of doing training here as opposed to doing similar training in the U.S.

Now I know to mix in some Tagalog words, to tell lots of analytics stories using Filipino centric data points and lessons, to be ready to engage the participants in ways that makes them open up and share more.

I also know that someone will always be late because of “traffic sa EDSA” and that just about everyone can relate to things like working for bosses who don’t use data, but “gut feel”.

This really is a great place to conduct training and after 3+ years I am now no longer the only one talking about analytics.

The CHED Memo on Business Analytics,  IBM’s push for the Analytica organization, and seeing so far at least two other training companies offering business analytics. So many awesome things showing I am in the right place at the right time.

By the way… if I can count right the number is 47. And that is in person. If I add radio and TV  its closer to 55.

So Im averaging about 18 a year. And I have 5 more lined up in the next six weeks.

Not bad.

Go Dan Go!!

🙂

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Last To Know? Good Leaders Like To Be The First To Know

I learned at an early stage in my career, that’s its best to tell your boss early when you have bad news.

Most people hate to be the last to know, and that feeling is magnified when it comes to someone who is responsible for making a lot of decisions.

Some think that its better to not share things with the boss that might distract them. Maybe they are too busy and you think it is just better to not interrupt them.  Maybe you are too busy and you just forget.

However, none of this is what any boss wants.

Being surprised is never a good thing when it comes to running a business. Trying to balance the budget, execute a strategic plan or deciding where to put time and energy is hindered when bad news pops up last minute.

You can find countless business experts and great leaders saying its good to get bad news early.

I bet you can’t even find one credible source that says its better to get bad news late.

And this just doesn’t go for bad news. It’s really any news that can impact the business in a significant way. And this is especially true when it come to news impacting the budget.

Having a good reporting process or regular staff meetings helps.

Always remember, without the latest and most up to date data, making good decisions is impossible.

So do yourself, your boss and your company a big favor and give them the bad news early.

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I Never Met A Wall That I Couldn’t Pass

By definition a wall is an upright structure of masonry, wood, plaster, or other building material serving to enclose, divide, or protect an area, especially a vertical construction forming a barrier.

That’s important to remember, because walls are man made.

Walls can be climbed.

great-wallOnce oceans were like walls, but we built ships.

No wall can stop us if we want to get on the other side bad enough.

If the wall is too high, then you can dig under it.

If the dirt is too hard, then you an go around it.

If the wall is too long to go around, then I have an old chemistry book from college in my trunk.

Potassium Nitrate, charcoal and sulfur.  imgb0001

Boom! I just blew a whole in that wall.

Nothing stands between me and what I want.

Because I when I want things bad enough, I pray and I think and I come up with a solution.

Walls are meant to be broken!

You can borrow my chemistry book anytime you want.

“If It Ain’t Broke, Don’t Fix It”… Not In My House!

Often I here people say, “if it ain’t broke, don’t fix it.”

The saying is thought to have originated by an American politician, referencing a way to control government spending. Wait until something breaks before spending time and money on something. Don’t waste resources on things that don’t need maintenance or improvement.

I think about that, then I think about my own up bringing. I come from a family of men who are handy with tools. They are builders and tinkers and always using time to maintain and upgrade to prevent things from breaking.

The lesson of taking leaves out of the gutter to prevent a heavy rain from bringing the overstuffed gutter down.

The lesson of taking the time to check your time pressure and replace your break pads before having to go out driving during a storm.

I could make a list 100 pages long of lessons from my Dad and my Grandfather about why its better to fix things before they break.

When I think about this saying and the lessons I learned as a child, I notice I apply them to my business.

I am always tinkering and trying to proactively fix things before they break.

If you look at what separates good leaders from bad, successful businesses from failures…. they fix things before they break.

Waiting for something to break in the end usually costs more time and money in the end.

But, that’s not human nature.

Most people, go with the if it ain’t broke model.

And to that I say, not in my house. Not in the house I built based on the lessons learned from my heroes… my Dad and my Grandfather.

And by the way… the politician who is the one most responsible for this saying… he ended up ruined by a banking scandal and resigned after only a year into office.

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em·pa·thy > the ability to understand and share the feelings of another

From Our Recent Customer Care Empathy Training for the DMAIPH team

em·pa·thy > the ability to understand and share the feelings of another.

Per Webster’s… Empathy is

…the action of understanding, being aware of, being sensitive to, and vicariously experiencing the feelings, thoughts, and experience of another of either the past or present without having the feelings, thoughts, and experience fully communicated in an objectively explicit manner.

Per Wikpedia…

Empathy is the capacity to understand what another person is experiencing from within the other person’s frame of reference, i.e., the capacity to place oneself in another’s shoes.

So any way you slice it, empathy is about feeling the pain of another in a way that helps ease some of that pain.

Empathy training is sorely lacking across the call center industry as this kind of soft skills training is taught like a technical skill. You can’t just lecture of empathy. You have to role play and write open ended scripts and practice it until its second nature.

If DMAI is to succeed, we need to have better the average empathy training. If we want to be a great company then we need to have best in class empathy training to make sure we are there for our customers.

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Analytics Leadership – DMAIPH 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.