So many online businesses operate based on gut feelings, market benchmarks and the "best practices" of senior professionals.
I don't envy them.
Don't get me wrong. Intuition, creativity and business experience are important. But these work infinitely better when they’re supported with data.
Have you ever been part of one of those endless meetings where opinions are thrown against other opinions? Where everyone feels so smart…
I’ll tell you what: in online businesses, facts are worth a thousand times more than the opinion of the smartest person in the room.
Opinions are foggy and misleading.
But facts are facts.
You can't argue them away.
Imagine how much easier it is to make good decisions when you have exact numbers and clear (well-researched) user stories on your table.
How much more confident would you feel about your marketing budget?
How much better would you feel about your next product development plans?
And about your next hire for your team?
Hi, I'm Tomi Mester, the author of the data36.com blog - and a practicing data scientist for 7+ years. I’ve been working for and consulted with many online businesses - like yours - on their data projects.
So many online businesses don't take advantage of their data.
And that puts you in a unique position. If you are among the first in your market to adopt data-driven practices, you can easily and quickly outsmart your competition.
How much effort (or resources) do data science projects need?
From my personal experience:
Good teams spend about 5% of their total working hours with data and quantitative research. So if you are working alone, that's around 2-3 hours a week. If you are a team of 50, then ideally you have one or two full-time dedicated people for this project.
The question is, though:
What is the right time to set up your data strategy?
Let's break this down by company size:
1-10 employees: Let's be honest, in these early days, your main focus probably won't be data science. (Maybe a few hours a week.) Still, starting to think with (and about) data at this point and setting up your overall data strategy will help you get prepared and ahead of your competition quickly.
10-50 employees: Perfect timing. At this size you probably have the right cashflow (or you just landed a bigger investment), and maybe you are about to bring on board your first data scientist, too. This is the perfect time to set up a proper data strategy and make sure that you do things right.
50-100 employees: Ow-ow, if you don't have a clear data strategy at this point, you might have already started to experience problems. Infinite meetings (too many opinions and too few facts), too many KPIs to focus on, flopped products (due the lack of research and information), and so on.
Don't worry, no big tragedy has happened (yet). You can catch up if you start right now and get serious about creating a data strategy.
100+ employees: You are already late to the game. Sorry to say this... but the fact is that every company who hasn't started to seriously think about their data strategy at this point - well, it’ll be at least ten times harder for them to get data-driven for real.
Why? I'll cover this in detail in the course. But in essence: it's the company culture. If you don't have a data strategy, then you won't have a data-driven organization and you won't have enough information to make the right decisions. Eventually, you will burn money on the wrong marketing campaigns and the wrong product development plans -- hoping for good luck…
I mean, better late than never. But I hope you are not in this category when reading this.
On a very high level, you can achieve two things with data science for your online business.
(1) Understand your audience better. Learn about their needs, their struggles, their motivations, their relationships to your product or service.
(2) Use these learnings to create a better product or service - and turn that into profit.
The order is important.
Your number one priority should be to help your users. As a consequence of that, your product/service will flourish. And that better product/service will bring you more users, more returning users and more revenue.
In particular, data science for your online business will help:
Because they don't know where to start. They don't have a data strategy. And they get lost in the ocean of data.
You are sitting on a gold mine… However, if you don't know how to extract it, you won't be able to profit from it.
Your users generate data. You need a strategy that will help you to turn that raw data into useful information and then into game-changing decisions.
Looks simple as a picture.
But in fact there are so many open questions in your data strategy:
I created the Data Strategy course to help you to build your own data strategy from scratch.
I won't just show you how other companies do it. I'll actually guide you through step-by-step how to build up your own data strategy and how to turn your business to data-driven.
I'll give you:
In Data Strategy, I show you a proven system that will help you to build your own data strategy.
I know because this knowledge already helped for many companies I worked with.
This course is the essence of everything that I learned and fine-tuned during my 7+ years in data science with online businesses.
At the end of the course, you will have your turnkey data strategy, with clear action points ready to execute. Even more: if you are doing it right, many of these action points will be already started to be implemented during the course already.
Oh and one more thing:
This is the system I use at my own business as well.
As an extra, I have added a "vault" at the end of each module where I give you insights about how did I build up my own data strategy from scratch at Data36.
If you enroll in the course, you will get access to new learning materials every Monday and Thursday - for six weeks. (Note: After that, you will have unlimited access to all course materials for as long as you like.)
Every module is built up from two major components:
(1) Videos - where I explain the elements of your data strategy in detail
(2) Actionable tasks - to apply everything you learned in your project
(Note: if you don't work at/on an online business or you don't have an actual project where you could apply these things right now, don't worry, I’ve got you covered, too. You can do all the exercises using a fictional case study I’ll give you. More about that in the course. ;-))
Here’s the syllabus!
This course was originally created for professionals at online businesses: who want to make their online business truly data-driven, who care about better understanding their audience, and who want to outsmart their competition, grow faster and do things more profitably.
(Note: you can take advantage of it if you are an aspiring data professional, too.)
Tomi Mester is a data analyst and researcher. He has worked for Prezi, iZettle and several smaller companies as an analyst/consultant. He’s the author of the Data36 blog where he writes posts and tutorials on a weekly basis about data science, AB-testing, online research and data coding. He’s an O’Reilly author and presenter at TEDxYouth, Barcelona E-commerce Summit, Stockholm Analytics Day and more.
Check out the intro video. >>
This is a brand new video course. Before I launch it publicly, I'll launch a beta program for 10 participants.
What does "beta program" mean?
I’ve already put a lot of energy and work into creating the main concept, the curriculum and all the course materials for this course. During the 6 weeks, I’ll make sure to give you the best experience and the highest quality. "Beta program" really means that I’ll have much more personal involvement in this course than I’ll be able to in the next iteration. I offer one-on-one consultations and I'll heavily rely on your feedback. I want to understand your problems and your needs, so I can create the course that's best for you.
This also means that the course is more flexible, and a part of the original curriculum might change if I see from the feedback that it’s needed. You should also know that most of the videos will be recorded during the course, so they might not be studio quality yet.
Start date for the beta program: 27 May 2019
You will receive new course materials (mostly tutorial videos, but also articles, cheat-sheets and worksheets) every Monday and Thursday for six weeks (until 8th July). After that, you will have unlimited access to this course alongside all the course materials and all future updates.
Beta price: $497 (Note: In the EU, you also have to pay your country’s VAT.)
(Future full price: $997).
The max. number of attendees is 10!
PS. If you are from Hungary, please email me before you register: email@example.com.
Sorry, registration for the Data Strategy course isn’t open yet. If you'd like to be added to the waiting list, just enter your email address, and you'll be the first to know when I open registration. Add your email address here:
I would never want you to be unhappy! If you are unsatisfied with the course, contact me (firstname.lastname@example.org) in the first 30 days and I will give you a full refund.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like.
What if I am unhappy with the course?
I would never want you to be unhappy! If you are unsatisfied with your purchase, contact me in the first 30 days and I will give you a full refund.
How much time does a task take?
Note: since this is a beta program, I can only give you estimates for this question. To watch the videos (and read other learning materials) will take ~1.5 hours a week. Doing the exercises (if you take them seriously) will take another 3-4 hours a week.
Is it a problem if I don't have any prior (or hands-on) experience with data?
We will start from scratch. It's great if you have already started to think about your data strategy or if you have run data projects before - but it's definitely not a prerequisite.
Do I need to know how to code (Python, SQL) for this course?
You don't have to know how to code - we will talk about strategic, business-related things. We won't code in this course.
Will I get an invoice?
Yes. In accordance with EU law (I'm based in the EU), everyone receives an invoice.