Category: Business Strategy with Analytics

The Analytics of Measurement and Evaluation

By taking inspiration from the way corporations use business analytics to optimize their Big Data, our Program Measurement and Evaluation processes can be greatly enhanced.

To understand the connection, let’s start with the mission of the Measurement & Evaluation program.

“The ability to effectively evaluate projects, programs and processes is becoming increasingly essential to organizational success today. American University’s online Master of Science (MS) in Measurement & Evaluation provides you with the knowledge to lead these evaluation efforts and the technical skills needed for analytically demanding roles in upper management.” 1

A good analytics solution constructs a universal framework for collecting, analyzing and utilizing data to determine project effectiveness and efficiency.

Likewise, an efficient measurement and evaluation of projects, programs and policies using analytics should ensure success. An analytics centered approach will likely work with corporate, non-profit and governmental organizations across various sectors and industries.

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We can look specifically to two key business analytics concepts I have used in my twenty plus years of analysis work; Key Performance Indicators (KPIs) and Data Visualization. The key to my success was my ability to answer important business questions using analytics.

Analytics is generally defined as the discovery of patterns in data that provides insight and identifies opportunities. As Carly Fiorina, former CEO of HP said about analytics, “The goal is to turn data into information, and information into insight.” 2

Organizations that invest in analytics generally make much better business decisions then one’s that don’t. In fact, IBM found that organizations who use analytics are up to 12x more efficient and 33% more profitable. 3

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.

So we need to ask ourselves, what are the KPIs for the project, program or process we are measuring? What points of data need to be captured, analyzed and reported to determine success?

A successful analyst is able to remove the noise when analyzing data and isolate what matters most to his or her organization. That is what is at the heart of measurement, knowing what data is important and what is not.

Once we have the right data, we can measure what the data tells us to determine success, causality, impact… whatever the outcome may be.

A quote often attributed to management guru Peter Drucker perfectly sums up why big corporations rely so heavily on analytics when he said “What gets measured, gets managed.”

Similarly, policy decisions can be made based on what is measured. Project funding can be impacted by what is measured. Process optimization can be directed by what is measured.

Once we are able to measure what is truly important to policy-makers, managers and decision-makers, we need to make sure we present the data in a compelling way.

This is where data visualization comes in.

I often make the analogy that if a picture is worth a thousand words, then a good pie chart is worth a thousand rows of data.

We all know that most people learn more by seeing something then by reading or hearing it. Data visualization takes that a step further.

Data visualization is not only important to presenting our insights but also for exploring the data for insights. Most people find it easier to process information when it is in the form of a picture then a collection of data.

Chip & Dan Heath, Authors of Made to Stick, found that, “Data are just summaries of thousands of stories – tell a few of those stories to help make the data meaningful.”

The ability to take all of the data gathered in the measurement phase and use it in the evaluation phase will make a significant difference in the success of the project, program or process you are working on.

According to the Office of Planning, Research and Evaluation, “Program evaluation is a systematic method for collecting, analyzing, and using information to answer questions about projects, policies and programs, particularly about their effectiveness and efficiency”. 5

Data Visualization can be used to paint a picture of a program, project or policy that influences outcomes based on the KPIs. And by appealing to the basic human fascination with stories, a persuasive graph, chart or infographic can make all the difference in the world.

By adopting the business analytics concepts of KPIs and Data Visualization, and applying them to the world of programs, policies and projects, you can find the same level of success I found in the corporate world.

  1. American University, “Certificate in Measurement & Evaluation” http://programs.online.american.edu/online-graduate-certificates/project-monitorin Accessed October 20, 2016
  2. Carly Fiorina Speech from December 6, 2004 http://www.hp.com/hpinfo/execteam/speeches/fiorina/04openworld.html . Accessed October 20, 2016
  3. Simon Thomas, Senior Analytics Consultant for IBM https://youtu.be/Zi8jTbXnamY . Viewed October 20, 2016
  4. Chip & Dan Heath, Authors of Made to Stick, http://heathbrothers.com. Accessed October 20, 2016
  5. OPRE, http://www.acf.hhs.gov/opre/resource/the-program-managers-guide-to-evaluation-second-edition. Accessed October 20, 2016

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.

The 10 Analytics Essentials of Entrepreneurship

A good friend of mine, Boom San Agustin, recently blogged about the essentials of entrepreneurship. Boom listed the 10 things most essential to be successful in setting up and running your own business.

This inspired me to put an analytics spin on each of the 10 points, showing how you can use data to augment each point.

  1. Have passion for what you do. One way to measure how much of your time you are devoting to your passion is to set a schedule and track how much time is devoted to everything you do each day. If you are happy with the % spent on passion projects then you are doing the right thing. But if too much of your time is spent on things you don’t like doing, then you need to make some changes.
  2. Pursue excellence first, money second. Here you need to do a lot of research and ask a lot of questions. You need a clear idea of what excellence in your chosen business looks like. How can you measure excellence with your products, your service, your team’s performance and engagement? Putting some key metics in place will allow you to make more informed decisions.
  3. Be open and honest with others and yourself. Get feedback. See what % of your client, customer, partner, team member, interactions are honest and endure honesty in others. Come up with a way to measure the trustworthiness of what you do.
  4. Have a “can-do” attitude. Keep a project list of all the things you need to accomplish. Update it every day. Be able to show yourself and others your progress towards getting things done. This will ensure that people see the work behind the words.
  5. Be the leader your team needs. Devote significant amounts of your time to your team. Keep them informed by blogging. Build tools for communication like newsletters. Be visible in person and in social media. Track the frequency of your engagements and correlate them to employee satisfaction surveys.
  6. Learn to communicate well. Get in front of an audience whenever possible. Engage the audience. Ask for feedback. Identify challenges and opportunities and then follow up. If your team doesn’t know what is going on in your head, then it is a problem. Gathering data on your communication strengths and weaknesses is key.
  7. Be a teacher and a learner. Facilitate as much on-site training as possible. Get involved in it. Train people yourself on areas you are good at. And then sit and listen to other experts in areas you are not. Track the time put into training and come up with a cost justification. Its easy to cut training when times are tough because its hard to assign a value to it. Make this a priority now so you always know the valued of training in your business.
  8. Have your ear to the ground. Stay engaged in person and on social media. Keep updated on trends affecting your business and your employees. Use a social media tool like Hootsuite to manage your social media messaging to get feedback all in one place. Lots of data points can be created and tracked to measure how close you are to the pulse of your business.
  9. Be dynamic and open to change. Set a check-in schedule. Encourage one on ones and team meetings that are not just one sided but empower sharing. If you are open minded and listen, you will be able to make changes to your business that keep things on the cutting edge. Use a timeline to show where you have been, where you are and project out where you are going.
  10. Know when to quit. We all fail. Businesses will all fail at some point. Winners know when its time to fail and walk away to do something else. Losers stay the course until they go down with the ship. Figure out what is the most important metric in your business. Sales, profit, engagement, risk potential… whatever it is. Figure out what is the lowest acceptable number, once you get close to it, be prepare and exit plan. If you pass it, face facts and pull the plug. Always have that data point at your fingertips.

If you are able to build in analytics like these, you will be able to manage your business well. You will set a tone among the leadership that uses data, not just the gut, to make decisions. One of your first hires should be a data guy who can build a business dashboard and deliver impactful reports. Someone who can help you identify risks and rewards and keep your focus on the metrics that matter most.

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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.

Big Data Analytics and Business Intelligence

Enabling Your Business to Make Smarter Decisions

Are you tired of being under constant pressure to make the right number-based decisions for your organization?

Are you too often overwhelmed by an out-of-control flood of numerical information, much of it conflicting and confusing?

Big data is booming ast as organizations devote new technology resources to tapping the terabytes (if not petabytes) of data flowing into their organizations.

Today big Data is flooding into the business both through internal processes and externally via social media.

What does this all mean for business intelligence (BI) users and systems?

With all the attention on advanced analytics for big data, what’s the play for BI?

Integrating advanced analytics for big data with BI systems is an important step toward gaining full return on investment.

Advanced analytics and BI can be highly complementary.

Advanced analytics can provide the deeper, exploratory perspective on the data.

BI systems provide a more structured user experience through there richness in dashboard visualization, reporting, performance management metrics, and more can be vital to making advanced analytics actionable.

Recently on December 6, 2016 I was at Astoria Plaza, Ortigas Center, Pasig City for a dynamic and empowering one-day training on Big Data Analytics and Business Intelligence.

Course Description:

Make smarter business decisions using these powerful data analysis techniques

Information is supposed to make us smarter, but more often than not, it simply overwhelms us.

This program is for you if you feel like you’re drowning in data and unsure which data to use to drive your company initiatives.

The truth is that the amount of data available to help run your business is greater than ever before. To effectively use this information, managers must consider the practical side of big data…what matters to you is how do you grow and build a team to make smarter decisions.

Much of the information out there just discusses the promise of the data deluge. The challenge is not the volume of data but rather the judgment needed to use it.

This seminar goes beyond the qualitative side of data analysis to explore proven quantitative techniques and technologies for identifying, inventorying and integrating data, so that more informed and reliable business decisions can be made.

Learning Objectives



  • Apply Best Techniques and Cutting Edge Technologies to Organize, Interpret, and Summarize Quantitative Data
  • Create a Process to Analyze Data and Identify Patterns Not Apparent at First Glance
  • Reduce “Analysis Paralysis” and Go from Hard Data to Well-Reasoned Conclusions in Less Time

What Was Learned

  • Specific skills to effectively frame the problem you’re addressing to uncover key opportunities and drive growth
  • Critical marketing steps of orientation necessary before engaging tools and technology
  • How to simply and quickly amplify decision making by separating the signal from the noise
  • A framework for asking the right questions, allowing the ability to link analytics to business strategy

What Was Covered

  • Using data and statistics effectively in business today
  • Improper data manipulations and their consequences
  • Exploring quantitative data collection methods
  • Improving analysis success by effectively utilizing software
  • Understanding regression, trend lines, and scenarios in Excel
  • Utilizing the power of business intelligence software
  • Finding and analyzing data patterns, trends, and fluctuations
  • Interpreting and translating data into decisions

Who Attended

Over 80 business professionals who needed to learn more about the basic tools to quantitatively and accurately analyze the mountains of data that come across their desk each minute of every day.

Section One

Big Data—It’s Not Just Size

  • Describe the Importance of Effectively Analyzing Big Data in Business Today
  • Come up with a Data Map to Analyze the Big Data in your business.
  • Establish Clear Objectives When Analyzing Big Data
  • Recognize and Apply Various Data Collection Methods
  • Identify and Resolve Problems Associated with Data Collection
  • Discuss the difference between Data Warehouses and Data Lakes
  • Determine when to use Data Blending in your analysis

Section Two

Analysis—Using Business Intelligence Tools

  • Assess Your Current Analytics Culture
  • Describe the Issues and Trends in Today’s Analytics Field
  • Optimize your use of MS Excel for Big Data analytics
  • Discuss the concept of Data Visualization
  • Utilize BI Tools like Tableau Public
  • Build a Business Dashboard Prototype

Section Three

Interpretation—Assessing Results

  • Articulate the Importance of Accurately Interpreting Data
  • Determine and Analyze Risk, Uncertainty, and Probability
  • Spot Patterns, Trends, and Fluctuations Through Correlation, Regression, and Descriptive Statistics
  • Understand when to employ Descriptive, Predictive or Prescriptive Analytics
  • Build Data Models

Section Four

The Art of Presenting Big Data

  • Apply a Process to Present Big Data Clearly
  • Select the Appropriate Presentation Format to Communicate Your Findings Effectively to Your Audience
  • Master the Power of Enchantment
  • Use Findings from Big Data to Drive Decisions Within Your Organization

Too often people dive into the data only to be lost in haze of data.

This discussion will be pragmatic and immediately applicable to analysts, professional using analytics and managers of analysts across all industries.

Analytics Training – DMAIPH in partnership with Ariva Events Management, 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.

Data Analytics to the Rescue

I am a big fan of super hero movies.

One of the reasons why is that in many ways I consider myself to be somewhat of a super hero.

According to Webster’s Dictionary, a super hero is “a figure endowed with extraordinary or superhuman powers which are used for fighting evil.”

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In my world, evil is analogous to ignorance… or the lack of information needed to make good decisions.

I live to fight this fight.

My extraordinary gifts are being blessed with a keen analytical mind and the ability to empower others to unleash their analytical abilities.

Analytics was not my career choice, but my innate curiosity and passion for answering questions put me in a position to become an analytics expert.

I have all the training and skills an educator needs, but instead of teaching in the classroom I train out in the business world.

On February, 21, 2017 I will be hosting a training on Data Analytics. E-mail us at analytics@dmaiph.com to register or get more info.

This will be so awesome.

I get to do what I do best.

And I get to do it in my adopted homeland.

I get to use my gifts to help Filipino professional unlock the curiosity buried inside them and use that to help empower more data-driven decisions in their organization.

#IamDMAIPH

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.

3 Tips to Maximize the Potential in Your Data

Data is the lifeblood of the 21st Century business.

If you aren’t using your business data to optimize your processes, increase your profits and fuel your decision-making, then you are behind the times.

So let me give you 3 tips to maximize the potential in your business data.

Tip #1 – Map Out Your Data Environment

Tip #2 – Identify Your Data Geeks

Tip #3 – Get On the Same Page

Most businesses don’t have a good map of how their data flows through their business. Just about every employee, every team and every location is stock full of data that can be useful. But, in most businesses there is little understanding of how it is all connected.

You need to know how data is acquired, how it is stored, and how it is accessed. How often is it refreshed? How clean is it? How valid is it? If you have answers to these questions you can build a map of your business data. Like a flowchart.

As you map out the flow of data in your business, you can also identify the data geeks in your business. The ones who understand the value of using data to make decisions. The curious ones who ask a lot of questions. You need to empower these people.

Once you have a data map and you have brought together your data geeks, then you need to get them all on the same a page.

I’d suggest bringing in a consultant who can give you a new and unbiased perspective on how to deal with analytics roadblocks. Places, processes and people in the business who aren’t in synch.

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Another option would be to send the team to a training class facilitated by an expert… someone like me.

If you need a place for your team of data geeks to get outside the box an get on the same page, I will be facilitating a training class on February 21 in Ortigas.  Send us an email @ analytics@dmaiph.com to sign up or request more details. 

I will help you come up with a analytics action plan to help you start taking advantage of the business data you have in order to increase efficiency and grow profits.

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.

Measurement and Evaluation: Analytics and Data Driven Decision Making

Recently Worked on a paper for a school… interesting topic…Measurement and Evaluation Analytics and Data Driven Decision Making.

I will also be doing a related webinar this coming Feb 15 entitled Analytics & Data-Driven Decision-Making.

Webinar details:

February 15, 2017

1pm Eastern

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

The ability to effectively evaluate projects, programs and processes requires a thorough understanding of analytics.

Analytics is generally defined as the discovery of patterns in data that provides insight and identifies opportunities.

Organizations that invest in analytics generally make much better business decisions then one’s that don’t.

In fact, IBM found that organizations who use analytics are up to 10x more efficient and 33% more profitable the ones who don’t.

A good analytics solution constructs a universal framework for collecting, analyzing and using data to determine project effectiveness and efficiency.

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As the amount of data available increases daily, the use of analytics is becoming essential to all levels of an organizational today.

This Big Data allows both deeper analysis but also requires more skill in getting to the right data.

By taking inspiration from the way corporations use business analytics to optimize their Big Data, our program measurement and evaluation processes can be greatly enhanced.

Bringing data together from a variety of sources and integrating the data into the decision-making processes, allows the empowerment of decision-makers to make much more intelligent choices.

When analytics driven leaders possess the practical assessment skills needed to evaluate projects bridging various sectors and industries, they are much more effective then ones that don’t.

In today’s information age, the quick and efficient measurement and evaluation of projects using analytics ensures success with corporate, non-profit and governmental organizations across various sectors and industries.

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.

The Stuff of Legends

The 2016 San Francisco Giants beat the odds.

After having a horrible second half of the season, even the most die-hard Giants fans were on the edge of giving up.

But they persisted.

They didn’t give up.

The keep fighting until the last day of the season.

Then they made the playoffs.

And they beat the odds again and beat the New York Mets.

They got their shot and they made it.

Now they have even bigger odds facing them to beat the Chicago Cubs.

You can look at all the data you want, but sometimes it just comes down to things hard to measure.

Like heart.

Like persistence.

Like belief.

You need these things to make it.

I love data and use it all the time, but sometimes in life you just can’t explain how some can beat the odds.

Like the 2016 Giants.

This is the stuff of legends.

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.

The Analytics I See While Sitting @ Taco Bell

I know I a total analytics nerd.

While sitting a taco bell I started thinking of all the data and analysis that this places creates.

So I’ll imagine I’m the franchise owner. Obviously my biggest concern is making a profit.

Its 9am on a weekday morning. Not very busy. Come to think of it, I have been to this location several times and have never seen it very busy. I’m sure they have peak times, but I have never seen one.

So let me take a step back and think about things like an analyst advising the owner.

First off, what % of profit comes from what time and day of the week. Defining peak times is something most business owners deal with to make sure they are staffed correctly.

Being optimal with staffing is one way successful businesses prosper and unsuccessful ones fail. Idle employees quickly become bad employees and overworked employees also become bad employees. There are two customers inside, just the occasional drive through customer, yet there are 6 employees here. Way more than needs to be I think. Looking at the data would undoubtedly tell the whole story and allow better workforce planning decisions.

The 2nd thing that comes to mind is the competition. Taco Bell is rarely thought of as a morning option. There are literally a dozen Starbucks within 5 minute’s drive and as least as many other coffee places.

Then you have the fact this location is between a McDonalds, a Jack in a Box and a Nation’s. All places with a much higher top of mind appeal when it comes to a quick breakfast. The menu and pricing is most likely tied to corporate requirements, but to compete in this crowded marketplace you need to be good and you need to be cheap.

They have a pretty good $1 menu selection. That’s good because it means it’s cheaper than just about anywhere else around. TB also have a lot of unique offerings. So that is good. Finding ways to market those positives locally is probably a good place to look into the data.

Where, when and how can this location interact with potential customers to get TB higher up on the list of breakfast options. Lots of data there to be gathered and analyzed about both the completion and the demographics of current and potential customers.

The third thing that caught my attention is its calm here. Easy rock playing on the radio. No TVs. No kid’s playground. Not a lot of hustle and bustle.

I ended up writing 4 blog posts while sitting here. I also recall that on a recent visit someone was working on a laptop while here. Its not a bad place to get some work done. So looking at who comes in, how long they stay and what they do while they are here is worthwhile.

So, that is what analysts do. They observe, they collect, they analyze, they offer suggestions. Then they monitor, they measure, they report trends and uncover opportunities.

14232472_10154551345857425_8165709150773510742_nIf I was working for the owner here, the data would probably back up my observations and suggest something like this…

Send someone to the local retirement communities (there are several in the area) to offer some kind of special loyalty program to people who dine in on weekday mornings. Make sure the staff is engaged with that demographic. Offer things that the competition does not and make a big deal about it.

All of this can be based on data, measured and refined using data and in the end increase the profitability of this location.

This is what I do in my spare time. Imagine what I can do to help you use analytics to increase your profits and optimized your business.

Small Business Analytics – The field of small business analytics is just starting to blossom as companies are looking for more data-driven decision-making to prosper in the age of Big Data. DMAIPH is at the fore front of providing analytics training, consulting and outsourcing options to small businesses. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation on how to get more analytics in your small business.

 

 

 

 

Analytics for the Small Business Owner

Do you know a small business owner who could use a little help in making their business more profitable and efficient?

I am looking for a half dozen small businesses that I can help then better understand their business data.  In exchange for my help I would like to use them as a case study in a new book I am working on.

The new book will be an Analytics Guidebook for Small Business Owners. I have found that while analytics has great success in boosting efficiency and increasing profit in large and medium sized businesses across the U.S., the same has not happened for most small business owners.

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So, I am hoping you can refer me to a small business owner you know that might be interested in some help. The kind of help I offer would be to do a simple business intelligence package for them consisting of building a competitor landscape, compiling a demographic profile and collecting customer insights. There are things I specialized in while with Wells Fargo.

In exchange for this package, I would just ask for some access to their data. How they manage expenses, payroll, inventory, and other data rich business processes. I would sign a non-disclosure agreement and not ask for access to any private information, just some raw data to work with.

I am happy to elaborate more, if you know someone who is interested. Thanks for your time and consideration.

Daniel Meyer, Analytics Champion

www.dmaiph.com

Small Business Analytics – The field of small business analytics is just starting to blossom as companies are looking for more data-driven decision-making to prosper in the age of Big Data. DMAIPH is at the fore front of providing analytics training, consulting and outsourcing options to small businesses. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation on how to get more analytics in your small business.

 

Know How to Make a Profit

I have been self-employed for 4.5 years now.

Some tell me that’s remarkable, but I am just doing what I do best. Sharing my passion for analytics.

Depending on how you measure success, I have had some pretty good successes. But also some pretty amazing failures too.

I get why so many small business fail. It take a lot of perseverance to rely just on yourself and a small circle of supporters for your livelihood.

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So at this point in my career, almost 5 years of being the man after 20 years of working for the man, I know how to make a profit.

First off I have to stick to my plan. Allow for it to evolve and be flexible, but year in and year out I stick to the plan on being the name brand in analytics in the Philippines.

Second, I create a lot of content. If content is good and in my case, I can humbly say it is. People will pay for it. Books, Blogs, Conferences, Public Seminars and In House Trainings all help to generate revenue. Its all from me brain, its all based on content in my head. As long as I can create engaging content, I can make money.

Third, I have to live within my means. Always keep one eye on the future. Trust the right people. Business acumen like that which balances success with failure enough that I can keep going.

The next key is that you have to be connected. Know what’s hot now and what will be hot. I read a lot. I follow a lot of things via social media. I keep myself informed on what’s going on with my customers, my future customers, my competitors and those who can influence my business. In short I am constantly networking.

And finally you have to love what you do. I can’t imagine any small business owner who can survive long without the passion that comes from deep inside. Its near impossible to make a profit without any passion behind it.

So how do I know how to make a profit?

I have lived it.

Let me show you how!

#IamDMAI

Small Business Analytics – The field of small business analytics is just starting to blossom as companies are looking for more data-driven decision-making to prosper in the age of Big Data. DMAIPH is at the fore front of providing analytics training, consulting and outsourcing options to small businesses. Contact DMAIPH now at analytics@dmaiph.com or connect with me directly to set up a free consultation on how to get more analytics in your small business.