How To Use Data To Make a Business More Profitable

I’m often asked how investing in analytics will make a small business more profitable?

In my answer, I often quote a few data points from a study of 400 companies that the consulting firm Bain conducted. They found the companies with the most developed analytics capabilities commanded a larger market share. In addition, they were twice as likely to be in their sector’s top 25% for profitability, and five times more likely to make swifter decisions than competitors. Considering these statistics, businesses that are not exploiting the potential of big data analytics are certain to fall behind.

Sometimes I mention a study by the University of Texas that analyzed data sets from Fortune 1000 corporations and measured the impact data analytics had on profits. Some notable findings included:

  • Companies could increase profit by more than $2 billion a year by making just 10% of available data usable.
  • Return on equity increased by 16% by making data more accessible.
  • When advanced reporting was deployed, return on investment increased by 0.7% — which is equal to $2.87 million in additional revenue.
  • Most importantly, a comparably low investment in data analytics was required to produce these significant gains.

But just quoting a bunch of statistics is far from compelling.

That’s one of the challenges of “selling” big data solutions to small businesses. All the stats are not very relatable.

It takes time to get to know a business in a way that a tailored solution can be designed. Every business uses data differently, so no two solutions are the same.

That is why I walk entrepreneurs, small business owners and leaders through an assessment. With this we link hinderances in their analytics process to solutions that mitigate the hinderances. We can also look for technologies to optimize the storage, analysis and presentation of data. Only then can we set targets to achieve the benefits mentioned in the Bain and UT studies.

And for me that is both satisfying as business coach and fun as a data nerd.

Dan Meyer heads Sonic Analytics, an analytics advocacy with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. 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. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in Data + Science Program and the Data + Women of Tampa Meet Up Group.

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Decision-Making Using Analytics and Intelligence in the Philippines

One of the cool analytics tools that WordPress provides its users is a list of keywords that are used by search engines that guide someone to a WordPress page.

Every once in a while, I review the keywords to see if there are ones I should add to my SEO process.

A recent one that caught my attention was “decision analytics Intelligence Philippines”. Maybe someone was looking for me, but I think it is cool that it came up in this combination.

I mean I selected the name of the company only because I had originally intended to call the company Dan Meyer Analytics Inc.

But that seemed a little too vain so I turned DMAI in to Decision-Making, Intelligence & Analytics and added the PH for Philippines.

SO that’s the story behind the name and its awesome to see the name is drawing more attention to me and my business.

Because there is nothing I love more than empowering Filipinos to use analytics to enhance their decision-making and up the intelligence of their business.

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General Analytics – Analytics is the application of using data and analysis to discover patterns in data. DMAIPH specializes in empowering and enabling leaders, managers, professionals and students with a mastery of analytics fundamentals.

Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out what we can do to help you acquire the analytics mastery you and your organization need to be successful in today’s data-driven global marketplace.

Dan Meyer – Speaker Bio

My updated speaker bio… I have several speaking and training events lined up in 2017. There is nothing I love more then being in front of a room full of people hungry to learn more about analytics!

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.

IMG_6912Mr. 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.

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 on which of our DMAIPH analytics training solutions is best for you.

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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Being A Great Analyst > Key Attribute #4 > Be Enchanting

If you are a good analyst or a decision-maker that uses analytics, being enchanting makes your job much, much easier.

One key to using data and analysis effectively is understanding how to enchant people by being likable, trustworthy and using data and analysis to further a great cause.

A few years back, I came across a book by Guy Kawasaki called Enchantment. It is my all-time favorite business book.

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Guy Kawasaki is a marketing expert and used to be Apple’s Chief Evangelist (aka Chief Marketing Officer). At Apple their goal is to convert customers to being loyal to Apple products for life.

In Enchantment, Guy talks about how Apple and other successful companies are able to create enchantment in their customer base that fuels passionate and long lasting relationships.

As an analyst there are many lessons that you can draw from Enchantment to being an incredibly impactful member of your organization.

One of the pillars of Enchantment is being Trustworthy. As an analyst, you have to be trustworthy for people to want to follow the direction your data and analysis point.

Your data has to be clean, valid, and accurate.

Your analysis has to be easy to understand, easy to replicate and easy to boil down into a few bullet points.

When you accomplish these things you are creating trust. Getting decision-makers to listen to what the data is telling them comes when the analysts have their trust.

That’s just one part of Enchantment. I use many examples of how to apply Guy’s concept to data and analysis in my training classes and in my company.

If you are looking for a way to add value to your company, which in turn can make the business more successful then this book is a must read.

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.

Being A Great Analyst > Key Attribute #3 > Be Decisive

If you are a good analyst or a decision-maker that uses analytics, being decisive is much, much easier.

One key to using data and analysis effectively is understanding how people make decisions and what impacts the ability to make unbiased decisions.

A few years back I came across a book by Dan and Chip Heath called Decisive. It was a fantastic read.

The Heath Brothers are marketing and management experts who do a lot of research into what works and what doesn’t in the business world.

Decisive looks at what influences effective decision-makers overcome.

As an analyst, there are many valuable lessons that can be applied to both selecting data and presenting the analysis of the data.

One example of being Decisive that I use a lot related to trying to avoid a narrow frame. Too often we limit our choices.

When it comes to what data to use to answer business questions, we have to always ask ourselves is this the right data? Is there other data I can use to validate my findings? What data can be blended with this data to tell a more compelling story?

Being aware of your own biases will help you ensure you get the right data, that it’s what is really need to answer business questions at hand.

Being of aware of the biases of the consumer of your analysis (generally your boss and their peers) can help you position your data in ways that can mitigate those biases and let them see what you see.

There are dozens of examples from Decisive that I use in training people to be analysts and in using analytics effectively.

It is a book, well worth your time.

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.

Q1: To start can you provide us with a basic overview of what is analytics?

Analytics is simply about looking for patterns in data to help answer questions. Most people use analytics within a business to help ensure more data-driven decision making. Businesses that use analytics are generally much more efficient and much more profitable then ones that don’t.

Analytics is generally employed by analysts who are skilled in using certain technologies and methodologies to identify, inventory and integrate large amounts of data quickly. What separates analytics from statistics and data science is generally the speed of the analysis and the focus on solving business problems.

The most common form of analytics is general business analytics that are 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. However, analytics can be used in an almost limitless number of business functions in specific areas like HR, recruitment, marketing, finance, and so on.

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. As a result, there is a huge shortage of people who are skilled in working with data to answer questions and solve problems. This why you have seen the number of analyst job postings increasing at an amazing rate.

If you 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.

The Fundamental of Business Analytics – Business Analytics is the application of talent, technology and technique on business data for the purpose of extrating inights and discovering opportuniites. DMAIPH specializes in empowering organizations, schools,  and busiensses with a mastery of the fundamentals of business analytics.  Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to find out how you can strengthen your business analytics fundamentals.

Limiting You Core Values To Just 3

https://www.linkedin.com/pulse/you-have-more-than-3-core-values-think-again-dave-kerpen?trk=tod-home-art-list-small_2

For DMAIPH, I have infused 3 core values into everything we do. They come from having seen companies succeed and seeing companies fail. The ones who succeed have the in common. Here they are:

Partnership

Integrity

Teamwork

For my the core valued of any business starts with the partnerships is has with its industry. For public trainings its all about having a robust network. Being able to get new business, mine existing business, and bringing back old business all comes out of strong partnerships.

Integrity is also super important. Being honest and doing the right thing. Have an identity that makes one thing of likability and trustworthiness. When you have that you take care of your customers, your employees are satisfied and engaged, and you ability to partner gets much easier.

And the third value is teamwork. Teamwork is based on trust. And trust comes from integrity amount partners. Work partnerships, between employer and employee and between each employee with their peers all lead to a more vibrant teamwork.

DMAIPH stands for strong partnerships among analytics providers and consumers, for being know for our rock solid integrity, and for engaged and empowered team we have.

What are your 3 Core Values?

If you cant recite them of the top of your head, then you probably have too many.

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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.

 

Is Better Possible? This Question Drives Great Minds, Great Ideas and Great Companies!

http://sethgodin.typepad.com/seths_blog/2014/07/is-better-possible.html

Wanted to share another of my blogger hero Seth Godin’s recent blog posts as it relates to a couple of things I talk about a lot in my training and with my staff. Don’t settle for good, demand great!

“Is better possible? The answer to this is so obvious to me that it took me a while to realize that many people are far more comfortable with ‘no’.

The easiest and safest thing to do is accept what you’ve been ‘given’, to assume that you are unchangeable, and the cards you’ve been dealt are all that are available. When you assume this, all the responsibility for outcomes disappears, and you can relax.”

You see this all the time, people just don’t want to cause a scene. When faced with a policy that makes no sense they just abide instead of question. When asked if anyone has any questions, and they do, but they chose not to ask it out of fear of being embarrassed they keep in to themselves.

“Mostly, though, I’m surprised because there’s just so much evidence to the contrary. Fear, once again fear, is the driving force here. If you accept the results you’ve gotten before, if you hold on to them tightly, then you never have to face the fear of the void, of losing what you’ve got, of trading in your success for your failure.

And if you want to do this to yourself, well, I guess this is your choice.

But don’t do it to others. Don’t do it to your kids, or your students, or your co-workers. Don’t do it to the people in underprivileged neighborhoods or entire countries. Better might be difficult, better might involve overcoming unfair barriers, but better is definitely possible. And the belief that it’s possible is a gift.”

And this is at the core of why my training is so impact full and so many of my employees feel high levels of job satisfaction… because empowering people to believe better is possible goes hand in hand with empowering them to use data to make decisions. To be a great analyst you need to always ask yourself is there better data available, can I find a better way to analyze it and can I find a better way to communicate the findings.

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What Exactly Are Recruitment Metrics?

A general definition of recruitment metrics is something like this, “standards of measurement that HR and Recruitment professionals use to identify, analyze and present important information regarding the hiring process.” Recruitment metrics are extremely important in both assessing the effectiveness of the recruitment process and in looking at the ROI (return on investment).

Traditionally recruitment metrics focus on two areas; cost per hire and time to hire. They are both looking primarily at only the impact to hire someone.

However, those metrics generally do not include a multitude of important data points that decision-makers need to know. For example things like candidate satisfaction and hiring manager satisfaction can help determine wholes in a process.

You can also use recruitment metrics to optimize the hiring process looking at things like distance to work, difficult of commute, and demographic data on what schools and courses provide the best employees.

Another are you can draw psychometric data from for your metrics would be on things like work ethic, career decision-making and employee loyalty to see who is successful in your company so you can find more like them.

The types of metrics you can use in your recruitment process are practically limitless.

Based on a recent survey I saw on LinkedIn, If we use metrics correctly, they achieve the following additional benefits:

  • Advance the relationship between recruitment and the hiring managers — align the RIGHT objectives
  • Provide credibility to the recruitment department by displaying that they understand the overall business goals and objectives
  • Define what is important and expected of each recruiter
  • Drive consistency in delivery of recruitment services to the organization
  • Provide a platform to measure recruiter accountability and performance.

Does your recruitment process have actionable metrics that can drive data-driven decision-making?

If you are having trouble with your recruitment metric, connect with me and I’ll help you make sure you are measuring the recruitment metrics that are key to your business.

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.