Finding the Right Data

“Data! Data! Data! I can’t make bricks without clay!”

-Sir Arthur Conan Doyle

Sir Conan Doyle’s famous fictional detective, Sherlock Holmes, couldn’t form any theories or draw any conclusions until he had sufficient data. Data is the basic building block of everything we do in analytics: the reports we build, the analysis we perform, the decisions we influence, and the optimizations we derive.

Finding the Right Data at the Right Time

Back at Wells Fargo, the single greatest attribute that made me successful was my ability to size up how long it would take to deliver something. Knowing what data I would need, where I would find it and how long it would take to analyze it to come up with something useful made me somewhat of a wizard in the minds of the team.

Finding the right data at the right time requires one to first know ends and outs of their data. You have to know how the data is captured, where it is stored and how it makes its way to you. Knowing the data architecture in your business is the key.

So you have to get to know the people who know where your data comes from and how it gets there. Learn from them. Partner with them. Buy them doughnuts.

A few years ago I came across an analogy being used to describe data in a business. That of a data lake. A data lake is the living, breathing, evolving pool of all the data in a business. If you have a good data architecture, and you can navigate it fairly easily, then you have a data lake. Ideally, your business has data structured in such a way you can live off it. Data to a business is like water to living things… it sustains life

So once you have the lake mapped out, then you have to learn how to fish it. Knowing where the fish are biting is another key. Once you know what data you need, you have to know how to get to it quickly.

I can’t stress this enough. No matter how good you are at analysis, or what tool you are using to do the analysis, if you don’t have an understanding of what happens to the data before it gets to you then you are probably not drinking from a clean lake.

Business Intelligence tools help us here. As does coding languages to extract data from a database. These are your fishing tools. You have to practice using them to be good at getting the right data at the right time.

Another way to optimize your data search is to save your work. Of as I call it leave yourself breadcrumbs. Save the query. Cut and paste the code into a document and save it. Write down the steps. Whatever you need to do to replicate what you just did so you can do it again in the future without starting over from scratch.

So to recap, if you know data structure, you understand how data is stored and you leave yourself clues to do things faster next time.

Now the other part of the equation is knowing if the data you are using is the right data. Finding data quickly doesn’t do you any good if you bring back the wrong data.

So, how do you know if the data you are using is the right data to be using?

I can’t count the number of times I asked myself that question. In general, just about every new analysis or project or research or whatever it is you are using data for, you have to ask that question at some point.

Even data you have used a hundred times and comes from a highly trusted source needs to be scrutinized.

Now if you work with data every day in a familiar format, from the same source and with no changes to the data gathering and storage process you don’t have to spend much time validating it. Usually you will see problems when something just doesn’t look right when you are doing the analysis.

On the other hand, things get a whole lot trickier when you are using data from a source you don’t use often, or something has changed in the way the data is populated or if it’s the first time you are using the data.

When this happens, I have a few suggestions on how to validate the data.

· First off, pull the data, do your analysis and draw some conclusions. If it passed the eye test and it feels ok to you, then your job is just to validate it.

· One simple way to do this is pull the data again the exact same way to make sure you get the exact same data. Or change one parameter like the dates used in the query. See if that significantly alters the way the data looks and feels.

· Another option is to have someone else do the same thing independently. See if they get the same results you do. You can also find someone who knows the data to look over your work to see if it makes sense to them.

In the end, whatever you do, make sure you have the right data.

I will cover all these concepts in more in upcoming my training classes. For a list of training events, please visit www.sonicanalytics.com

I’ll be conducting the following business analytics trainings over the next few months:

· June 5 in Ortigas (Metro Manila, Philippines)

· July 17, in Pleasant Hlll, CA (San Francisco Bay Area, US)

· August 22, in Bonifacio Global City (Metro Manila, Philippines)

Dan Meyer heads Sonic Analytics, an analytics training, consulting and outsourcing company with offices in Manila and the San Francisco Bay Area. With over 20 years in Big Data, Dan is one of the most sought after public speakers in Asia and has recently begun offering public training seminars in the United States.

We need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). So he has started an internship program under Sonic Analytics to empower the youth the use Analytic, plan Strategy and Present their views… ASP!

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized business looking to enhance their data-driven decision-making capabilities.

Advertisements

What is Business Analytics? In Most Cases It’s Simply Excel & 3 Bullet Points

Business Analytics refers to the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight, discover opportunities and/or drive business planning. *https://en.wikipedia.org/wiki/Analytics

The most common form of analytics is business analytics that are generally used by senior leaders and decision-makers to investigate problems, validate assumptions and to guide strategic planning.

Business analysts are therefore the most common type of analyst. If you do a job search on the title analyst, as many as half the posting will likely be business analysts. However, analytics can be used in an almost limitless number of business functions in specific areas like HR, recruitment, marketing, finance, and so on. Each one can have its very own analyst.

I was a business analyst for a large part of my career at Wells Fargo, but even before I had analyst in my title I was heavily involved in business analysis. Why?

Because I know how to use Excel.

It’s amazing how many people are scared of Excel. To many highly educated and successful business leaders across Corporate America, making a pivot table in Excel is like magic.

If you were able to take an honest survey of managers and supervisors across the country (world actually), you would probably be quite surprised by the high percentage who would prefer to find someone else to analyze their data.

That’s one of the biggest reasons business analysts are so prevalent.

Another is time.

I had a boss at one point that grilled into me the philosophy that no matter how much data you have, and how complex the analysis, it’s all worthless if you can’t boil it down to 2–3 bullet points.

That’s all he had time for.

3 Bullet Points!

So being a successful business analyst really require 2 skills; Excel and condensing data into 3 bullet points.

If you can do that, you’ll go far.

I did.

A business needs analysts to make sense of big data, manage the storage of the data, and know when to use which of the 4 types of analytics (descriptive, diagnostic, predictive, and prescriptive). To be effective, analysts need to have business intelligence tools to create data visualizations and build business dashboards.

I will cover all these concepts in more in upcoming my training classes. For a list of training events, please visit www.sonicanalytics.com

I’ll be conducting the following business analytics trainings over the next few months:

· June 5 in Ortigas (Metro Manila, Philippines)

· July 17, in Pleasant Hlll, CA (San Francisco Bay Area, US)

· August 22, in Bonifacio Global City (Metro Manila, Philippines)

· September 4, Rancho Cucamonga (North of Los Angeles, US)

Dan Meyer heads Sonic Analytics, an analytics training, consulting and outsourcing company with offices in Manila and the San Francisco Bay Area. With over 20 years in Big Data, Dan is one of the most sought after public speakers in Asia and has recently begun offering public training seminars in the United States.

We need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). So he has started an internship program under Sonic Analytics to empower the youth the use Analytic, plan Strategy and Present their views… ASP!

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized business looking to enhance their data-driven decision-making capabilities.

Getting Started With Analytics

The primary people responsible for conducting analytics on the massive amounts of data we have today are analysts.

Analysts are skilled in using various technologies and methodologies to identify, inventory and integrate large amounts of data quickly.

A general definition of an analyst is a person who analyzes or who is skilled in analysis. Analysts examine things carefully and in detail so as to identify causes, key factors, possible results, etc. generally using a process of identifying, inventorying and integrating data. *http://www.dictionary.com/analyst

I often hear that most analysts today feel like they are drowning in a sea of data. They need to know how to take control of their data and analysis to quickly answer business questions and make critical decisions. They want to confidently present results and solutions to their managers, colleagues and clients.

You most likely clicked to this page because you fit the description above. If that is the case, then you made a good decision. 😉

All kidding aside, I have designed a method to help you look at analytics in a way that will make data and analysis easier to understand and conduct. My trainings and published content will also instruct you on how to share data in a more dynamic and influential way.

Analysts have been around a long time, but recent technological advances have both allowed us to produce and capture more data as well as give us the ability to analyze immense data sets quickly. Thus we are amidst a huge boom in the applications of analytics and the need for analytics talent across the globe. Analytics is something just about every business leader is trying to figure out how to use more effectively in their business. To add to our challenge, the demand for good analysts is booming just as fast as the explosion in big data.

As a result, there is a huge shortage of people who are skilled in working with data to answer questions and solve problems. This is why you have seen the number of analyst job postings increasing at an amazing rate. In fact the quickening demand for analytics talent has made it very hard for most businesses to find good analysts.

If you are a business leader, manager, owner, and/or executive are not actively trying to surround yourself with analysts and if you are not infusing an analytics centric culture in your business, you will most likely soon see your business fail.

Keep in mind that analytics is about looking for patterns in data to help answer questions. Most businesses use analytics to help ensure more data-driven decision-making.

The primary people responsible for conducting analytics on the massive amounts of data we have today are analysts. Do you have analysts on your team?

Analysts are skilled in using various technologies and methodologies to identify, inventory and integrate large amounts of data quickly. Are you an analyst yourself?

If you answered yes to either question, but you feel you need more training for yourself or your team, you are not alone.

A business needs analysts to make sense of big data, manage the storage of the data, and know when to use which of the 4 types of analytics (descriptive, diagnostic, predictive, and prescriptive). To be effective, analysts need to have business intelligence tools to create data visualizations and build business dashboards.

I will cover all these concepts in more in upcoming my training classes. The classes are designed specifcally for people new to analytics and for business leaders looking to upgrade the level of analytics in their business.

For a list of training events, please visit www.sonicanalytics.com

Upcoming Training Dates

· June 5 in Ortigas (Metro Manila, Philippines)

· July 17, in Pleasant Hlll, CA (San Francisco Bay Area, US)

· August 14, Rancho Cucamonga (North of Los Angeles, US)

· August 22, in Bonifacio Global City (Metro Manila, Philippines)

My goal with this series is to help you look at analytics in a way that will make data and analysis easier to understand and conduct.

Dan Meyer heads Sonic Analytics, an analytics training, consulting and outsourcing company with offices in Manila and the San Francisco Bay Area. With over 20 years in Big Data, Dan is one of the most sought after public speakers in Asia and has recently begun offering public training seminars in the United States.

We need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). So he has started an internship program under Sonic Analytics to empower the youth the use Analytic, plan Strategy and Present their views… ASP!

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized business looking to enhance their data-driven decision-making capabilities.

Upskilling 500,000 Will Require 1,000 Trainers… Where To Start?

So when I start talking about the AAP Analytics Moonshot of up skill training 500,000 Filipinos in Data Science and Analytics skills over the next 5 years, one of the central questions I face is who will do the training?

Well, that’s easy. People who are right now doing analytics everyday. The hard part is getting the ready to be trainers. To know how to present material, assess if the material is being understood, handling questions and managing the training environment are not things a lot of professional analysts are used to doing.

So we basically take the Fundamentals of Analytics, and we turn the course into a train the trainer exercise, where we apply teaching methods and training skills to the 1,000 DSA experts. Then they can go forth and conduct trainings on a scale that gets us to the 500,000 goal.

So what is the Fundamentals of Analytics? Well, its a method I developed to teach fresh grads and young professionals the basics of business analytics in a short period of time.

The course material, when combined with case studies and hands on exercises, can take some quite unfamiliar with analytics and get them to shift their mindset to thinking data first.

I call my method, Getting IT: The 3 I’s and the 3 T’s of Analytics.

Getting IT Picture1

I borrow the concept of the 3 I’s from a book called the Accidental Analyst. 

Getting IT Picture2

To train someone to be an analyst you need to make them aware of how to find the right data, how to analyze it and how to share it. The 3 I’s.

For analytics to work, you have to have a combination of good talent, technology and technique.

It’s really that simple.

As you discuss any analytics case study or approach any hands on exercise using real data, you plan the 3 I’s and you assess how to use the 3 T’s.

Now take someone who is already an analyst and get them to be able to explain this concept, have them draw from their own experience and their own set of skills, and you have the recipe for a moonshot.

AAP Logo Option Vertical 5

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.

Moonshot: Unifying the Analytics Ecosystem Across the Philippines

(above image from zazzle.com)

For most of the past five years my efforts to upskill train Filipinos in analytics have been focused on Metro Manila.

A few times a year I’d get a chance to conduct a training, speak at an event or attend a conference outside the National Capitol Region, but for the most part analytics adoption has been slower in the provinces.

That has significantly changed in 2017 and the analytics focus around the provinces is primed to explode is 2018.

As I sit here today in Batangas for the mid week holidays, I can’t help but feel proud for the recent string of partnerships we have been able to build outside the nation’s capitol.

We were just in Cebu twice for a Data Night, a Big Data 101 training and an Analytics Freelancers Meet Up. We followed that up with a Data Night and several speaking engagements and media appliances in General Santos (Gensan to the locals).

Next month we will replicate these events in Davao with the contacts we made in Gensan. In December we will do the same and even add a Train the Analytics Trainer event with a key business partner in Bacolod.

And just yesterday we started laying the ground work for a Data Night and a Big Data 101 training in Iloilo for January.

Our plan for 2018 is to spend one week a month in a different province promoting our analytics advocacy, signing up members for the Analytics Association of the Philippines, conducting trainings with companies like DMAIPH, Cirrolytix, BagoSphere, and Spectres Solutions, using co-working spaces like A Space, the Mabuhay I.T. Park and Dream Space, and working with schools like the University of Mindanao and ACLC Davao.

At the same time we are building upskill training relationships back in Manila with companies like Wells Fargo, Accenture and Emerson, teaching analytics at schools like College of St. Benilde, University of Asia & Pacific, Enderun College and the University of the Philippines just to name a few.

We are also orchestrating the OJT experiences for students from schools like UST, De La Salle, Ateneo, Informatics, and URS in Rizal. Again, that is just the tip of the iceberg.

Simultaneously, we are building relationships with influential organizations like IBPAP, CCAP, PSIA, Young Engineers and HIMS to give talks on analytics followed up with upskill training for their members.

And last but not least we are having conversations with provincial LGUs, with central government entities like CHED, DeptEd and TESDA as well as with key members of the Senate to promote the large scale adoption of analytics across the Philippines to keep our workforce competitive in the increasingly data driven world.

I could go on and list more. The names above are just a sample.

When you set out to facilitate the upskill training of half a million people, you have to think big. And thing big is what we do.

That’s our moonshot.

Putting a man on the moon took a national effort from all parts of society to build a space age ecosystem capable of the previously unthinkable.

rocket-moonshot-shutterstock_406207303-resized

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.

DMAI - Logo_ver2-02-01

 

 

Analytics Education = Out with the Old, In with the New

Having spent the last 5 years talking about analytics here in the Philippines, it seems we are finally at a place where a significant percentage of leaders and decision-makers are now aware that they need a good analytics strategy for their business to succeed.

Now that we are finally at point where people in power get, we have another challenge. Just because they get it doesn’t mean they know how to enable it.

In fact most of our current solutions to educate and train when it comes to analytics seems to be a bit old fashioned. Analytics evolves much faster then traditional education models can keep up with.

In fact, most people learn analytics on the job. Some attend public trainings. A few receive practical experience while in school. Very few learn in vocational or apprentice like programs.

Almost all the training is done in person, with an expert teaching in a classroom setting.

Most of the training is done by talking theory and doing some exercises on mock data.

Due to data privacy issues, few companies allow employees to get up skill training while using their own data and towards solving real business problems.

To compound the challenge, there are a precious few analytics experts to go around to meet the surging demand for analytics education and training.

When I do the math… 500,000 Filipinos need analytics training in the next 5 years to ensure we can deal with the wave of digital transformation the world in undergoing.

So now what?

It’s easy to say online training is the solution. And it is part. But just filming a training and reshowing it loses a lot of the impact. When learners aren’t engaged they struggle to absorb most of the content.

So live online classes that have an interactive ability are key.

Harnessing the power of YouTube and looking at things like TED talks give us some ideas.

Formal corporate trainings can be supplemented and eventually superseded by meet-up groups and more informal learning sessions.

Formal education has to transition more from the class room and to on the job.

Right now, students spend 90% of their time in classroom and less then 10% on the job working with real data solving real problems. Many schools struggle with educating on analytics topics because they don’t have qualified professors.

Lets flip that around. Let the subject matter experts working in the field do more of the education in the workplace.

That’s just three ideas; Interactive Analytics Talks, Optimizing Meet Up Groups and much more dynamic On the Job training.

What else can we do to shot for the moon?

Dr. Data_Analytics in the Philippines

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.

The Analytics Association of the Philippines and our DSA Moonshot

When I think about what we can accomplish with the AAP I think about some pretty big stuff.

Moonshot kind of stuff.

It took more then just a government initiative to put a man on the moon. It took an effort of thousands. And the support of millions.

For the AAP, our moonshot starts with advocacy which comes in the form of doing as much talking about DSA as possible.

http://www.aap.ph

Raising awareness among decision-makers is key. It is no longer an awareness about what is DSA (Data Science & Analytics). People get it.

Now it is an awareness of how Filipinos can use DSA in their  business.

I get excited thinking about how the AAP  can focus our message as thought leaders and look to continue to complement each other in ways that individual companies could never dream of.

We have been actively looking for speaking opportunities to push the message that DSA in the Philippines is of paramount importance.  In many ways, even a matter of national security when you look at the threats of Artificial Intelligence, nationalism and political instability… impact OFWS and BPOs directly. The two biggest source of revenue in the country.

Outside the core group who have come together to get the association off the ground, we can empower the multitude of interested parties to help too spread our advocacy too.

I see us sharing our message of collaboration and the idea that a rising tide lifts all boats across every industry and from all sectors. Big and small, domestic and international, size and scope don’t really matter, we all need more analytics in our businesses.

If we get enough key players on board with the advocacy we will have a legit change to actually upskiil train 500,000 Filipinos to be DSA enabled in the next 5 years. That is the moon shot goal I’m dreaming about.

IMG_9107

Analytics Leadership – DMAIPH is a founding member of the Analytics Council of the Philippines 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.

 

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.

cropped-dr-data_analytics-in-the-philippines1.jpg

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.

 

Sales Analytics Tip: How To Size Your Market

The Sales Champ, Jonathan Petalver, and the Analytics Guru, Dan Meyer, will be conducting a two day workshop on Sales Analytics on July 24-25 in Ortigas.

https://dmaiph.com/analytics-solutions/sales-analytics-quantitative-results-through-qualitative-approaches/

One of the tips we will share with attendees is our strategies for assessing the size of your market. Every business, every product or service, every salesperson has a unique market that it is trying to capture.

As analytics guru, Bernard Marr said, “If you don’t understand the size and potential of your market you can easily jump to conclusions about how viable your business proposition is. Market size analytics is the process of working out how large the market is for your products and services, and whether there is sufficient growth potential.”

The size of your market can be measured terms of volume (how many units sold), value (money spent in that market) or frequency (how often a product or service is sold). It is important to start to gather data points like these and track them over time. You will be able to build a strategy built on numbers, not just gut feel or your best guess.

Useful data includes government data, trade association data, financial data from competitors, and customer surveys. You will be surprised how much data is available just by doing a google search. They you can look at sites that produce and share data for free. And finally you might even consider buying data for your analytics.

strategy_istock_olm26250_thumb800Another important tip Just because a market is large doesn’t mean it’s profitable – especially if most of the customers that want a particular product or service already have one and are unlikely to want another. A lot of people get caught up in the width of the market, but forget about the depth. Sales analytics will help you determine opportunity in both dimensions.

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

Data Analytics or HR Analytics? Which Should I Attend?

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

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

We get asked a lot, what is the difference.

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

may18

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

 

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

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

RA_Mar28_1

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

Target Attendees for Data Analytics:

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

Target Attendees for HR/Recruitment Analytics:

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

Hope that helps you decide which one to attend.

Analytics Training – DMAIPH offers a wide range of analytics centric training solutions for professionals and students via public, in-house, on-site, and academic settings. We tailor each training event to meet the unique needs of the audience. If you need empowerment and skills enhancement to optimize the use of analytics in your organization, we are here to help. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation to learn which of our DMAIPH analytics training solutions is best for you.