Mindset To Create Your Company

black, experience, surf, ocean, child, kid

What’s up ? This is THE stephane ANDRE !!! I watched an Olivier Roland’s video and I learned some good stuff.

There is a simple trick to create your internet company. This trick allows you to have the sweetest change possible between your school/job and your job as an entrepreneur. This trick is to consider your company as an experience.

See your internet company as an experiment modifies your state of mind. Here’s how you see your company with this state of mind :

  • Your life isn’t wasted if you can’t create a profitable company to live the live of your dreams.
  • Creating a internet company doesn’t demand a large amount of resources. You don’t need to make a huge investments and spend a lot of money. Before increasing your expenses, you have to decrease your uncertainty by having a product or service that clients buy regularly. Once you have your 1000 loyal clients, you can go to the next step. Here is an article I wrote to have 1000 loyal clients, click here ].
  • The best situation is to create and develop your internet company next to your school/job. I advise you to take measured risks, evolve with baby steps and make changes smoothly. With this strategy, you’re not afraid to start. For me, stopping your school/job to create your internet company isn’t a good strategy because if this company doesn’t work, you will not have the opportunity to create another later. It’s extremely rare for a person to start a company that works really well the first time.

Passion

passion

You know, there’s a secret to not bieng afraid to start an internet company. It’s to create a project that really motivates you. A project that makes you want to work on it, a project that is so rewarding that you no longer want to play video games or watch videos (Youtube, Netflix, etc).

With this mindset of considering internet company’s creation as an experience, it allows you to learn a lot of things. It doesn’t matter whether the company working or not, because you’re learning new things about yourself, human relations and entrepreneurship.

When you start an internet company, it’s important that you achieve several goals. Here are the goals of my blog :

  • Motivate me to have an athlete body like Men’s Physique.
  • If I can’t make this blog a profitable internet company, I know that everything I learned in the creation and development of this blog is interesting knowledge that I could apply in a new internet company.
  • Create a community around this idea of doing sports to be healthy mentally and physically.
  • Make this blog a profitable internet company.

Having a list of several goals is great because if you fail 1-2 of these goals, you still have the opportunity to achieve the goals that remain.

Subscribe to my newsletter and share this article if you think it can help someone you know. Thank you.

-Steph

P.S. If you’re in Miami and you like Caribbean food, go to my cousin’s bistro to eat Haitian food, click here.

Emotionally Manage Negative Reviews

emotionally, manage, negative reviews, excellent, good, average, poor, worst

What’s up ? This is THE stephane ANDRE !!! I watched an Olivier Roland’s video and I learned some good stuff.

When we have company, we read customer reviews to improve the products/services. But we have a way of thinking that can hinder the company’s evolution. Here is an example, for a product the are 10 positive reviews and 1 negative review. The problem is that the entrepreneurs will think 1000 times more about the negative review rather than 10 reviews positive.

Bad comment

emotionally, manage, negative reviews

To change this way of thinkging, it’s necessary to understand that this is part of human nature. We have been educated by evolution to focus more on negative things than positive things. And yes, our ancestors lived in an unstable environment during the vast majority of the existence of the human being. Here are some examples :

  1. Our ancestors were very attentive to the elements that were partially negative. They could be very happy, have a great day but they had to pay attention to the powerful animals that could, by surprise, kill them.
  2. Our ancestors had to pay attention to the disputes that had in the village because these disputes could deteriorate the village’s stability. This can result in creating friction that undermines trust in terms of collaboration for survival.
  3. Our ancestors were never satisfied with their situation and this motivated them to improve their lifestyle through science.

Solution

emotionally, manage, negative reviews, positive

As you’ve seen, this is a way of thinking that we have in human nature and there are some tips to avoid being obsessed with these negative reviews. I propose 3 solutions :

  • Ignore them. The more negative reviews you see, the more you’ll be desensitized to that. It’s not very complicated because if your company is working well, you have few negative reviews.
  • Delegate the management of reviews to a member in your company. This allows you to avoid being on the front line in the emotional impact to be less affected. It’s true, this solution have a problem. It creates distance between the entrepreneur and the customers feedbacks. It’s for this reason that it’s recommended to set up a procedure for the member who handles the reviews saying : « From now on, it’s you who manages the reviews. The thing I would like you to do is that you only transfer negative constructive reviews to me ». Negative constructive reviews are the criticisms where you see the urge to help.
  • Create an email address only for positive reviews. For example, you can name this email : « positivereviews@yourCompanyName.com » and tell to the person who manages the reviews that each time he/she receive a positive reviews, he/she send it to this email. You can also tell to this person to make a screenshot of a positive review from social media and send it to this email.

With this email address, you create the email of happiness. This will be useful for moments of demotivation and doubt. If, for example, there is an negative reviews that makes you feel bad and you think about it several hours later, you can log on this email, read positive reviews and realize that you’re doing a good job. It’s really a special feeling to know that you’re changing the lives of many people. It’s really fantastic and it allows you to relativize.

It’s possible to make a combination of the 3 solutions. It means, you force yourself to read the negative reviews to desensitize you ; you delelgate part of the process to manage the reviews ; you create a magical email as a psychological support.

These solutions allow you to put things in their place so that you don’t get overwhelmed by negative emotions.

It’s possible that you know of other methods to handle negative reviews, if it’s true, share your method with us in the comments section.

Subscribe to my newsletter and share this article if you think it can help someone you know. Thank you.

-Steph

P.S. If you’re in Miami and you like Caribbean food, go to my cousin’s bistro to eat Haitian food, click here.

Start A Smart Company

startup company data

What’s up !!! This is THE stephane ANDRE. I watch an Olivier Roland’s video  and I learned some good stuff.

To create a company, most people advise to leave school or job to be 100% focused on creating the company. I advise you to start your business part-time and continue your school or job. An excellent method for this is « Lean Startup » . The principle of Lean Startup is to put on the market as fast as possible your product/service at minimum viable.

2 different methods

method scientific

Classic

Let’s take a closer look at what most people do. A person has an idea to start a company, so this person does a market research to minimize the risks. Then this person will seek financing with bank loans after calculating the needs of the business. These business needs based on a 3-years business plan that is extremely theoretical and hypothetical. You should know that in 99% of cases, as soon as the company is open and prospects are in contact with the products/services, these business plans have no connection with the reality of the field.

The problem with this method is that this person works for 1 year to create a product/service and when it’s available, this person realize that everyone doesn’t care. When the product/service isn’t selling, the stress rises enormously and you have to find a way to pay back people who lend money to your company.

Lean startup

With the Lean Startup’s method, when a person has a product/service idea, the principle is to find the minimum basic function of that which would interest the audience and the prospects who would be willing to buy. Then you have to do a test as soon as possible on the market. There is something very important that Michael Masterson said : « Before your business make its first sale, it’s nothing more than a set of unproven ideas that you are spending money on ».

That is why it’s necessary to set up a field test in the most real conditions possible with the most minimal version of your product/service.

Here is an example with someone who wants to buy a parking lot to rent it :

  • With the classic method, this person bought a random parking lot hoping to have many prospects interested in renting it.

  • With the Lean Startup method, this person will find an interesting parking lot to buy. Then this person will post an ad in an ads posting site and on social media and will wait to see if there are peope interested in renting it. If people call this person to say : « I’m interested in having your parking lot, I’d like to rent it », in this case this person will buy the parking lot. If nobody is interested in the parking lot, this person will not buy it.

Test quicky

test field

There are several other methods like this to test. In my case, it’s my blog to build my brand and until today, I’m doing it part-time. Here is a 3-part article in the power of a blog ( here  ).

Create my blog allowed me to :

  1. To know if I could find and keep my rhythm to write articles

  2. To know if I could share interesting things to create an audience

  3. To know if I could possibly monitize this blog with this audience

Once you have the idea, you need to test it as soon as possible to see what is happening on the field to collect feedback from the first customers and to know if you have an interesting business model or not. This test is excellent for eliminating a lot of uncertainty.

The cool thing about the Lean Startup method is that you’ll really start investing a lot of time, money and energy when you have your first customers who will help you improve your product/service.

Let things be clear, Lean Startup isn’t a magic formula, it’s necessary to act and start the process again, until you have a product/service that interest people.

Subscribe to my newsletter and share this article if you think it can help someone you know.

-Steph

Boost Your Charisma

charisma barack obama

What’s up ? This is THE stephane ANDRE ! I watched an Olivier Roland’s video  and I learned some good stuff.

To increase my charisma, I discovered a completely counterintuitive trick. This trick is a state of mind. This is a trick that Seth Godin shares in his book « Tribes » . In this book Seth Godin explains the importance of internet. Internet isn’t just about doing business with customers/prospects, but it’s a real tool for building a tribe or community.

The principles for building a tribe or community with internet are to share quality content and to clearly explain your values to bring together people who share the same values as you. Seth Godin says something very interesting about charisma, he says that most people think that yow have to have charisma to get the idea when it’s the opposite. The simple fact of having the idea gives charisma. It’s deep right ?

In everyday life

 

everyday

 

I’m sure you’ve seen this situation :

  • There is a person who loses consciousness on the sidewalk Quickly a person must take responsibility for the idea of caring for the person who has lost consciousness

  • There is a car accident. Quickly a person must take responsibility for the idea of dealing with traffic to secure the area.

In situation where there is no designated leader, a person must take the initiative, without permission, to take responsibility for the idea of managing the situation.

As you can see, it does give charisma to this person and the others will naturally accept him/her as a leader and listen his/her orders, until the situation returns to normal.

The question, I’m asking you is : « In the project that is important to you, could you take responsibility for the idea of taking care of your tribe or community that shares the same values as you and to do evolve the project ? ». Tell me your answer in the comments section.

Subscribe to my newsletter and share this article if you think it can help someone you know.

-Steph

A Pratical Tip To Validate Your Approach

data science tableau check

I have just enrolled in a Data Science course on Udemy  and I learned good stuff.

How was the A/B test « Number Of Product » ? Easy or difficult ?

Here is the result I found.

data science tableau check bar chart

I think you noticed there was something bizarre. There is an anomaly. We imagine that the more the client has products, the more the client is satisfied with the bank so this type of clients should stay in the bank.

In the first 2 bars we can see that a client who has 1 product is more likely to leave the bank than a client who has 2 products. But when a client has 3 or 4 products, we see a huge rate of clients leaving the bank.

Look, there is a little bizarre detail. In the 2nd bar, we can’t see the « Exited » label. This is because there is no place in the orange part to put the text. To make it simpler, we’ll remove the label « Exited ». Drag and drop on the « Exited » text label to the outside.

data science tableau check bar chart

data science tableau check bar chart

Perfect, we can read the percentages. On the 1st bar, we can see that among the client that have 1 products, 28% left the bank. On the 2nd bar, we can see that among clients who have 2 products, 8% left the bank. This show us that clients who have 1 products are more likely to leave the bank than clients with 2 products.

And for the next bars, we observe an anomaly. On the 3rd bar, we can see that among the clients who have 3 products, 83% left the bank. On the 4th bar, we can see that among clients who have 4 products, 100% left the bank. We clearly see that there is a problem and we need to do a deeper analysis to understand what is going on .

As a Data Scientist, we need to explain what happens in bars 3 and 4. Usually when a client has 3 or 4 banking products, that means he/she is satisfied and is loyal to the bank. But in our case, it’s the opposite because there is a high rate of client who left the bank. This is the time to do deeper analysis.

The first thing to analyze is the quality of the data. There is a very big anomaly and it may be because there is something insignificant in our data that disturbs the statistics. For example, it’s possible that when the bank selected these clients in this sample, there were very few clients with 4 products and all those clients with 4 products left the bank. Sometimes chance can create anomalies and you have to play attention to these effects of chance because they don’t seem important but they can create false interpretations.

To start, we will check the number of clients with 4 products.

In « Measure », move « Number Of Records » (which gives the number of observations) on « Label ».

data science tableau check bar chart

data science tableau check bar chart

We observe on the first 2 bars than many clients with 1 or 2 products selected for our sample. For clients with 3 or 4 products, we can see that there were fewer clients selected for our sample.

There are 220 clients with 3 products and 60 clients with 4 products. These small number of clients probably explain why we observe these anomalies.

In this sample of randomly selected clients, there are very few clients with 4 products and they all left the bank. In this situation, we can confirm that it’s a chance. When thing like that happen, you have to be very careful not to make conclusion too fast and make misinterpretations.

The conclusion is that a lot of clients have been selected for category 1 and 2. For category 3 and 4, there have been few clients selected so we can’t do accurate statistics. We need to do deeper analyze for these categories of clients with 3 and 4 products.

Now, let’s put the percentage back on the bar chart. Click on the « Back » button.

.

data science tableau check bar chart

Or do a click and drag of « SUM(Number of Record) » to outside.

data science tableau check bar chart

data science tableau check bar chart

We saw that there is an anomaly and what is interesting to do is to have a comment to remember to do a more in-depth analysis of columns 3 and 4.

Right-click between the bar chart’s title and the bars. Select « Annotate » then « Areas… ».

data science tableau check bar chart

A window appears. In this window, you write « Low observation in last 2 categories » and click on the « OK » button.

data science tableau check bar chart

data science tableau check bar chart

Click on the comment and move it on bars 3 and 4.

data science tableau check bar chart

data science tableau check bar chart

The next time you work on this bar chart, you will see this comment that will remind you to seriously analyze client who have 3 and 4 products.

Validate our approach

It’s time to show you how to validate an approach and how to validate the data. For this we will create a new A/B test.

Duplicate this worksheet with a right-click on the « NumberOfProducts » tab and select « Duplicate ».

data science tableau check bar chart

And rename the tab « Validation ».

data science tableau check bar chart

For this tab, we will erase the comment. Select the comment and press the « Delete » button on your keyboard.

data science tableau check bar chart

data science tableau check bar chart

Everything is ready, the idea is to find a variable that doesn’t affect our results. That is a variable that has no impact on a client’s decision to leave or stay in the bank.

Take for example, the variable « Customer Id ». Client’s identification number has no influence on the client’s decision to stay or leave the bank.

We’ll do an A/B test with the last digit of the « Customer Id » and we’ill check that there is the same clients proportion who leave the bank in the 10 categories of the last digit of the « Customer Id ». The 10 categories are the numbers 0,1,2,3,4,5,6,7,8,9.

Let’s g.To start, we will create the variable that contains the last digit of the « Customer Id ». To have this variable, we will create a « Calculated Field ».

Right-click on « Customer Id », select « Create » and click on « Calculated Field ».

data science tableau check bar chart

data science tableau check bar chart

Name the calculated field « LastDigitOfCustID ». In the text field, we use the « RIGHT » function with « Customer Id » in parenthesis to select the last character of the « Customer Id ». In our case, the last character of the « Customer Id » is the last digit.

Here is the code to write in the text field : Right ({Customer Id},1)

data science tableau check bar chart

data science tableau check bar chart

Oooops, you see there is a small mistake => The calculation contains errors.

There is an error in the formula because « Customer Id » is a number variable and the « RIGHT » function applies to a variable of type « STRING ».

To use the « RIGHT » function, we will convert « Customer Id » into a string. We will use the « STR » function with « Customer Id » in parenthesis.

Here is the code to write in the text field

And click on the « OK » button : Right (STR({Customer Id}),1).

data science tableau check bar chart

Now, you can see that our calculated field « LastDigitOfCustID » is in « Dimensions ».

Click on « LastDigitOfCustID » and move it on top of « NumOfProducts » in « Columns ».

data science tableau check bar chart

data science tableau check bar chart

Now we have a new bar chart and we see that for every last digit of the « Customer Id » there is about the same proportion of clients leaving the bank. All these proportions don’t correspond exactly to the average of 20% but these slight variations aren’t important.

Seeing this uniform distribution allows us to validate our data because these data are homogenous.

Conculsion

Here’s how you can check the homogeneity of your data. You take a variable that has no impact on the fact that a client leaves or stays in the bank. The example we did with the last digit of the « Customer Id » is excellent. We were able to verify that in each of the categories taken by this variable, if there was the same proportion of clients leaving the bank. As is the case, we can validate our data.

Imagine another result. When we do the test with the last digit of the « Customer Id », we observe that for one of the numbers, the rate of clients who left is really higher than the average. This shows us that there is a problem in our data because it indicates an anomaly.

You can find other ways to verify your data by using other « insignificant variables » to see if the distribution is homogeneous. But be careful when you select an « insignificant variable » because there may be traps.

Here is an example. If you create a variable that takes the first letter of the first name, the distribution will not be homogeneous. The reason is simple, there are many more people who have a name that starts with the letter « M » than with the letter « Y ».

Share this article if you think it can help someone you know. Thank you.

-Steph

Work Effectively And Earn More (Part 2)

work effectively effective

I watched an Olivier Roland’s video  and I learned good stuff.

If you don’t have read Part 1, click here .

5 actions to be effective

5

Optimize your working time

Use Pareto’s Law by focusing on the 20% of your actions that contribute 80% of your results and using Parkinson’s Law to determine how long to complete a task.

Here are other actions to put in place to optimize your time :

  • Don’t disperse yourself

  • Stop multitasking – This has been scientifically proven to be a waste of time and productivity. Read this scientific study .

  • Stop interruptions – Things like smartphone notifications, emails or messages.

  • Group actions.

  • Remove unnecessary tasks – To find out if you’re doing a useless task, ask yourself this question from Peter Drucker : « Why am I doing this ? Is it necessary ? » With this question, you can easily delete unnecessary tasks. Exceptionally, you can use a notification on your smartphone that displays this question every 30 minutes. It’s a type of reminder all day long.

  • Identify the 20% of things and people that cause 80% of your problems and delete them. If it’s someone in your family, talk to that person 2-3 times a week instead of every day.

Automate everything you can

Many tasks can be automated in companies. For example to send messages on social media (I use Buffer  ). It’s possible to automate a sale on internet, it’s the customer who does everything. The customer looks for a product, uses his/her credit card by filing out the payment form of the website, and the bill created automatically based on the information provided by the customer, etc.

It’s also possible to automate a company, this is the case of Drop Shipping. Drop Shipping is when you sell products that you don’t have in stock and that are sent directly from the supplier to the customers. Amazon offers this type of service too, you can put in their catalogs products that you sell and entrust to Amazon for the stock’s management, sending and returns of products. I wrote an article on Amazon’s drop shipping, here.

There is also the case of muses that explains Tim Ferriss in his book « 4 hours workweek ».

Delegate

Focus on your strengths and delegate the rest. Create a list of tasks that you want to delegate with instructions. Then gives these tasks to a team by assigning each type of task to a specialist.

Duplicate

There is no point in reinventing the wheel. You can duplicate the recipes of your mentors success and use that in your own company.

Recycle

A job that you did can be reused in a different form. For example, articles from a blog can be used to make a book, a podcast or a video.

4 actions to earn more

4

Determine your goal and strategy

Determine your goal, your process to reach it and the strategy to put in place. Here are some examples of strategies for developing your wealth :

  • Replace your salary with real estate income and start your own company.

  • Keep your work as employee and invest a maximum on stock market to create passive income.

  • Create a company to have a complementary income like a blog, a podcast or a Youtube channel.

  • Buy a piece of land and build several apartments (condos).

  • Etc.

Optimize your management to spend less money

  • Analyse the things you have to pay to eliminate waste : unnecessary subscription, insurance too expensive, etc.

  • Print your bank statement and analyze it

  • Seeking a way to achieve the same result by spending less : compare, buy cheaper, negotiate to save money for the things you really need.

  • Optimize your taxation by reducing your taxes.

Recycle your skills and your work

You can work on something once and get paid several times. You can create a seminar, keep 3 children instead of 1, you walk 5 dogs instead of 1, etc.

You can also use a job you have already done to create complementary income. Foe example, if you like to take picture, you can put them in stock photos on internet.

Duplicate the processes known to create wealth

  • Pay yourself first

  • Make money work for you by saving at least 10% of your income to invest them.

  • Invest in yourself with training to learn new skills

Here are the options you can use to create a company that serves your life (and not your life serving your company). With internet it’s easier to use these levers with a blog, podcast or a Youtube channel by creating content.

Share this article if you think it can help someone you know. Thank you.

-Steph

Dataset For Data Mining

dataset data mining

I have just enrolled in a Data Science course on Udemy  and I learned good stuff.

To have the dataset to do Data Mining, you need to go to the superdatascience website . In « Part.1 Visualization », you see the section « How to use Tableau for Data Mining ». Click on « Churn Modeling » to download the file.

dataset data mining

Once you have downloaded the file, move the file to the directory you created for the course. In this directory, create a new directory (unless you already do it) named « 2.Chunk investigation ».

dataset data mining

dataset data mining

Open this fiel with Excel or with other spreadsheet software.

dataset data mining

Know that we use this dataset for the visualization part but we will also use this dataset for the modeling part.

Let’s analyze the data of this dataset.

This dataset is quite large because it contains 10 000 lines and a few columns. This is the list of a bank’s client. The client information is :

  • Customer id (login)

  • Surname (last name)

  • Credit score ( is the measure that indicates the client’s ability to borrow)

  • Geography (client’s country)

  • Gender (male or female)

  • Age

  • Tenure -(the number of years the client is in the bank)

  • Balance (balance of the client’s bank account)

  • NumOfProduct (number of product that the client has in the bank – credit card, contract, account)

  • HasCrCard (does the client have a credit card ?)

  • IsActiveMember (did the client use his/her credit card during the last month ?)

  • EstimatedSalary (the bank’s estimate of the client’s annual salary)

  • Exited (did the client leave the bank ?)

Now, I will explain the context related to this dataset. This bank has branches in several countries like Germany, Spain and France. This bank noticed that lately there were many clients who left the bank. The bank has a report called « churn rate » which is the customers rate who leave the bank and for a few months the « churn rate » is really higher than usual. It’s for this reason that the bank needs a data scientist (you) to find the problem and propose solutions.

This dataset is a small sample of clients bank. These are 10 000 randomly selected client.

The column « Exited » is a column that didn’t exist before. This column has created when the bank realized that there was an abnormal number of client who were leaving the bank.

dataset data mining

Then the bank observed these clients for 6 months to see which client left the bank.

dataset data mining

In the « Exited » column, the number « 1 » means that the client left the bank and the number « 0 » means that the client stayed in the bank.

To analyze this dataset, you’ll need to do A/B Tests. For exemple, a classic A/B Test is to see if women are more likely to left the bank than men. That’s means, see the number of men who left the bank, see the number of women who left the bank and then normalize by the total number of clients. It’s important to normalize the number of clients because there are not the same proportions of women as men. Next, based on the last column « Exited », you’ll find out if it’s the men or women who are likely to left the bank.

Once you have relevant results, you can show your report to the bank. And with this report you should be able to propose solutions to the bank. For example, if the report says that women leave the bank in bulk, it’s because there is a problem and it’s necessary to see whether the bank is offering women something right. Or it’s possible that another bank offers a much more attractive offer for women or something else.

You will learn how to investigate in the dataset and find answer through client information with A/B tests.

Share this article if you think it can help someone you know. Thank you.

-Steph