Analytics and Data-Driven Decision Making – Webinar on Feb 15

With Daniel Meyer, President and Founder, Decision-Making, Analytics & Intelligence Philippines… that’s me! 🙂

I have the honor of conducting  a webinar next month in partnership with American University.

Here is the promotional copy for the webinar… hope some of my followers like you are able to join us. 

Evaluators can learn from the ways that the corporate sector uses business analytics to understand, interpret, and display Big Data. Key aspects from the corporate sector that are useful for monitoring and evaluation include identifying what data is important, and finding ways to visualize it for consumption. In this webinar, Daniel Meyer discusses analytics solutions relevant to measurement and evaluation.

Daniel Meyer is passionate about solving problems by bringing together the best talent, cutting edge technology, and successful methodologies. He is an expert on data-driven decision-making, multi-industry analytics and business intelligence. He is the author of Putting Your Data to Work and the Fundamentals of Business Analytics. Learn more about Dan Meyer.

Webinar details:

February 15, 2017

1pm Eastern

Webpage with webinar registration links: http://programs.online.american.edu/msme/webinars

 IMG_6912Daniel Meyer

Daniel Meyer is President & Founder of DMAIPH (Decision-Making, Analytics & Intelligence Philippines), an analytics, consulting, training and outsourcing company with offices in Manila and the San Francisco Bay Area. Mr. Meyer is one of the top analytics experts in the Philippines. With a team of over 40 analysts, DMAIPH provides a variety of analytics solutions to companies in the U.S. and Asia. Mr. Meyer is also one of the most sought after public speakers in the country and has personally trained thousands of Filipinos in various analytics functions. Before setting up his own company, Mr. Meyer worked as a Senior Analytics Consultant for Wells Fargo Bank for 15 years. Mr. Meyer provided executive management analytics for the bank’s Remittance Service including developing business dashboards, overseeing competitive intelligence gathering, managing data analytics outsourcing projects and facilitating audit and risk management. Mr. Meyer recently published Putting Your Data to Work, an analytics guidebook designed to provide organizations with a solid foundation in using analytics to empower more data-driven decisions. Mr. Meyer earned a B.A. in History with a minor in International Studies from Sonoma State University and a M.A. in Education with a focus on Student Affairs in Higher Education from the Indiana University of Pennsylvania.

 

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It’s No Longer Just Enough To Know

In a recent conversation about using more analytics in the measurement and evaluation of public policies and programs, one of my colleagues said that in today’s world, “It’s no longer just enough to know.”

The point being if you aren’t using data and analysis to enhance your efforts and empower decision-makers with actionable insights, then you are not serving the public to the best of your ability.

A lot of government programs, non-profits and philanthropic organizations are what he called, “Information Rich, but Data Poor.”

Check out my upcoming webinar on Feb 15, 2017! https://dmaiph.com/2017/01/14/analytics-and-data-driven-decision-making-webinar-on-feb-15/

Just because you gather massive amounts of information in the form of data points, does not mean the data is adding value. In fact one of the biggest challenges the corporate world has been dealing with the past few years is how to optimize Big Data.

We live in a world where so much data is produced and captured, then analyzed and published in reports and article, yet the data and analysis alone is often not having the impact our policies and projects were intended to have.

In effect, we might know things, but we aren’t able to influence decisions because our data is not compelling enough.

To this end, I have advocated importing some analytics themed best practices from the corporate world to educate more on what to do with the data and how to put the data to use. To in short, be Information Rich, Data Rich to move towards more Data-Driven Decision-Making.

Starting backwards, I will first focus my training on the How. How do we make more data-driven decisions?

The I will focus on the Why. Why do we need to make more data-driven decisions?

From there we will go into several business analytics concepts like Data Visualizations, Public Data Mining, Data Lakes, Demographic Profiling using Big Data, and Data Blending.

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A final topic of interest that I will bring to the discussion is the Plus Minus Implications for Unstructured and Qualitative Data. Things that at first can be hard to assign a number too, but are just important as any piece of traditional data used in decision-making.

At the conclusion of my work, public policy and project reporting will be much more data rich, influence will improve and decision-making enhanced.

Now we won’t just know, we will be able to champion what we know in ways that will make a difference.

Analytics Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. All across the world, companies are scrambling to hire analytics talent to optimize the big data they have in their businesses. We can empower students and their instructors with the knowledge they need to prepare for careers in analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can set a guest lecturer date, On-the-Job Training experience or other analytics education solution specifically tailored to your needs.

My Blog Post on the Analytics of Measurement and Evaluation

I recently had the honor of writing a blog post for American University’s Measurement & Evaluation program.

The post is about using a business analytics approach to “effectively evaluate projects, programs and processes.” This is in a response to the fact that it is becoming increasingly essential to use big data and analytics to ensure organizational success.

Here is the link: http://programs.online.american.edu/msme/resource/measurement-and-evaluation-analytics

It is my hope that I can inspire readers to look for ways to bring new data into their projects, programs and processes, blend it with current data, provide more dynamic analysis and share more impactful results.

I will also be doing a webinar early next year entitled Its Not Longer Just Enough To Know. Where I will highlight some techniques and technologies that I use to empower more data-driven decision-making.

Facilitating a mastery of the fundamentals of analytics is what I do best.

All across the world, companies are scrambling to hire analytics talent to optimize the big data they have in their businesses. Though my company DMAIPH, I can equip students and their instructors with the knowledge they need to prepare for careers in analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can set a guest lecturer date, internship, on-the-job training experience or other analytics education solution specifically tailored to your needs.

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The Analytics of Project Measurement

Peter Drucker perfectly summed up why big corporations rely so heavily on analytics when he said “What gets measured, gets managed.”

A successful analyst is able to remove the noise when analyzing data and isolate what matters to his or her organization.

With most companies collecting large amounts of data, you need to be both talented and disciplined to pinpoint key insights that can yield value.

In the corporate world, business analytics is widely use to track, analyze and report Key Performance Indicators (KPIs).

KPIs are rolled up to senior leadership to drive business strategy, identify and mitigate risk and to optimize operational productivity.

This approach is very similar to the way projects in the Measurement and Evaluation are tracked, analyzed and reported.

I would define measurement simply as the act of measuring to ascertain the impact, size, level of success, etc. of a specific data set.

There are many components to measuring projects making sure the project is on schedule, stays in scope, is not over budget, the quality of work is up to par, the end goal of the project remains relevant, and finally if the project is ultimately deemed a success.

A foundation in analytics will contribute to a more optimal and efficient process of measurement. Like businesses do with KPIs, you should start will identifying that are the key measurements your project will be judged on.

Once you know those data points, then figure out how to collect them, analyze them, and report them.

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At each step you can look for new data, validate existing data and blend data from other sources to add value to your measurement efforts.

Once you get to the reporting phase you can look for cutting edge techniques in data visualization and interactive reporting like dashboards to help educate and empower your audience.

That is how it is done in the corporate world where business analysts boil down massive amounts of big, often unstructured data into a few bullet points that allow decision-makers to take action.

When it comes to the Measurement of Project Evaluation, understanding various analytics solutions can make all the difference.

Analytics Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. All across the world, companies are scrambling to hire analytics talent to optimize the big data they have in their businesses. We can empower students and their instructors with the knowledge they need to prepare for careers in analytics. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly so we can set a guest lecturer date, On-the-Job Training experience or other analytics education solution specifically tailored to your needs.

Using Analytics To Validate A Candidates Primary Motivation For Work

I am often asked how to better use analytics in recruitment. Besides the fairly obvious ways like analyzing your pipeline for trends or looking at candidate demographics, I sometimes suggest coming up with a way to correlate candidate answers to items in their resume.

For example, what motivates the candidate to work. The question can be asked a number of ways. Here in the Philippines, it is pretty standard to ask a candidate why do they want to work. This is a different question then the more universal why did you apply for this job question.

The rationale for the question is generally to learn more about the candidate as it applies to commitment and work ethic. Common answers are I need to help meet my family’s financial needs, support my children, pay for a younger sibling’s education. The problem I with this question is that it set’s up a situation where the interviewer can feel sympathetic to the candidate.

As a counter to this, I train my team to look for a few queues in the resume to help validate the genuineness of the candidate’s answer. In short to do some analysis, and record some data for future analysis.

Most resumes here have a biodata section that includes things like parent’s occupation. This is a good place to probe more if the reply to the what is your primary motivation to work is family financial needs. You should also notate this and start compiling data on each candidate response that can then be used down the road in looking at their success as an employee if hired. You can also get a sense for what types of people are being attracted to apply for open jobs. Both can be very valuable insights when building some predictive analytics into candidate screening.

You can also look for employment gaps. If they are working to serve an overarching financial hardship, then there should not be significant gaps in their work experience and/or job hopping. This is a great insight into dependability and work ethic. Make sure to capture this data as well.

You can also ask them specifically how working will meet their primary motivation. Do they have specific costs and amounts at hand, or is the answer more general or even vague? Have they really thought through the cost versus their compensation? Probe to see if they have done analysis themselves on their own needs.

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SO you get the idea, one simple questions with a short reply can actually lead you to much deeper analysis both during the interview and when looking at trending over time.

Ideally, every question you ask is something you can use to generate data. Every answer they give should be validated against the data in their application or resume. And here you create and capture more data.

In the end you will amass a wealth of information on candidates that you can analyze to look for patterns showing you who to hire and who not too. It can also help you determine that if you do hire them, what kind of employee will they become. Adding some simple analytics at the front end opens things up to a whole new level of data-driven decisions making in your talent acquisition process.

If you need a little help in adding or enhancing analytics in your recruitment process, let me know. Happy to help!

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.