Make business decisions at least 5X faster –

with all your data at your fingertips

We’ll build and maintain a custom data pipeline for your business. So you can see all your data in real-time. Get answers to your most important questions. And make informed business decisions. Faster.

Make business decisions at least 5X faster –

with all your data at your fingertips

We’ll build and maintain a custom data pipeline for your business. So you can see all your data in real-time. Get answers to your most important questions. And make informed business decisions. Faster.

Trusted partners of

We’re partners of the world-renowned data tools, dbt and Fivetran. Which means they’ve given their stamp of approval on the projects we’ve done – and testified that our work follows industry best practices and is of the highest standard.

The longer it takes to gather data, the more your business falls behind

Making decisions without data is like cooking without a recipe. It might turn out ok… Or it might not.

If your business is super small, it’s not too complicated to figure out what’s going on. You make one good move and you can double your revenue.

But when your company grows past $5M a year, things become a bit more complicated. You may find yourself doing all the right things… but you still can’t figure out how to grow your business from $5M to $100M. At this point, you can’t rely on napkin calculations and gut feeling anymore.

Even if you do have the data you need, analyzing it takes too long. Whereas before you only had hundreds of rows of data to analyze… now you have millions.

Thing is, spreadsheets and basic BI tools require a ton of manual work and create bottlenecks. So it takes longer to make decisions. As a result, your business falls behind competitors. And misses market opportunities.

When you partner with us, you won’t have to wait weeks or even months to get a report from your accountant or marketing team. Or manually combine your CSV export from 10 different platforms.

Here’s the other thing:

If you want to take full advantage of AI…
You need clean, accurate data

Don’t be fooled by AI tools that promise to answer any business questions. Those demos you’ve seen on LinkedIn or even during a call work using highly curated data from well-known data sources.

Real-life data is messy. To leverage AI, your data needs to be cleaned, transformed, and structured to answer business questions accurately.

AI & ML during demo

AI & ML on real data

Get answers to your most important business questions
– with a custom data pipeline

With the right data, stakeholders can finally agree on a source of truth. And you can make decisions without wondering “is this the right call?”

You’ll be able to:

Create a product that your customers love

Once you know what your customers like (and don’t like), you can create a product that caters to them – and results in more sales.

For example, we recently helped a SaaS company analyze data from reviews to determine which key features were missing in their software and why people had been unsubscribing.

That way, stakeholders were able to prioritize the features that customers wanted the most.

Plan just the right amount of inventory

If you have an eCommerce business, then data will help you forecast inventory – and optimize your supply chain.

Case in point:

We’ve been working with an eCommerce subscription business that sells meat. If their inventory is off even a little bit, they lose money.

With the previous 6-month sales average combined with seasonal data and planned recurring delivery for each product, we were able to forecast the inventory needed – and maximize their ROI.

Maximize your marketing budget

Our multi-touch data-driven attribution model lets you know which channel performs best. This allows you to put more of your marketing dollars into that channel.

Data insights will also help you gain a crystal-clear understanding of your target audience – so you can create messaging that resonates with them.

Hire the unicorn candidates – and fire the underperformers

With data, you’ll be able to see the number of projects each employee delivered, times they went over their deadline, hours they worked, sick days they took in a year, lines of code they wrote, bugs they fixed… and much more.

Once you know who’s performing well, you can look at their background and hire more people like them.

Click the button above to schedule a free, no-obligation call to plan your data strategy.

“We have seen a dramatic increase in conversion rates”

– Maxime Villemure 
Co-founder of Spaceful

“We have seen a dramatic increase in conversion rates”

“We’ve been working with Systematik for the past 2 years now. The insights we got from their automated dashboards allowed us to make major adjustments to our sales strategy. I can’t recommend them enough.”

– Maxime Villemure 
Co-founder of Spaceful

“We have seen a dramatic increase in conversion rates”

“We’ve been working with Systematik for the past 2 years now. The insights we got from their automated dashboards allowed us to make major adjustments to our sales strategy. I can’t recommend them enough.”

– Maxime Villemure 
Co-founder of Spaceful

How it works

Within just 3 weeks, you’ll have a detailed roadmap telling you how to use data to grow your business

Some agencies will quote you for the entire project, from start to finish. It’s either all or nothing – and you only get value once the 6-month project is completed. All the while, you’re crossing your fingers, hoping they will deliver what you need.

Others will bill you hourly, and you won’t know how much time or money you’ll have to spend other than their best guesses.

If you partner with us, you’ll know exactly how much and when.

Here’s what you can expect if we work together:

1. A detailed roadmap

We’ll start by asking you what questions you need answered in order to move your business forward.

The detailed roadmap will outline how to build a data pipeline that answers those specific questions. Answers that will help you make faster decisions and grow your business.

In the roadmap, you’ll find out what’s possible (and not possible), how long the project will take, and how much it will cost.

We break everything down into three-week sprints and the roadmap walks you through what each sprint will entail. Each sprint aims to deliver value on its own – so you don’t have to implement the entire roadmap to get value out of it.

2. Three-week sprints

If you want to move forward, we’ll implement the roadmap with sprints that each take about 3 weeks to complete.

The number of sprints will depend on your particular project and business goals. Sometimes a project may require only one sprint – and sometimes a project may require 5 sprints.

Here’s what a sample project may look like:

Sprint #1

Database design, data ingestion, and data visualization mockups

Sprint #2

Data modeling and delivery of the first few dashboards

Sprint #3

Enablement and training or more data modeling + dashboards.

If you decide that you don’t want to move forward, that’s ok. You can take the roadmap to another freelancer or agency and have them implement it.

Or if you do only one sprint and then decide not to continue with the rest, that’s ok too. Either way, you’ll still get value out of it.

3. Ongoing support and data monitoring

Some people think that data is a “set it and forget it” type of thing. Once their pipeline is up and running, they assume all the work is done.

This couldn’t be further from the truth. Technology and your business are in constant evolution. Anytime a platform gets updated, its data structure updates with it. Requiring adjustments to your data pipeline.

That’s why we offer ongoing support and data monitoring after your pipeline is up and running.

Each month, you’ll get:

Anytime support

Got questions about your dashboard?

Inside (or outside) our Slack channel, we’re there to answer any questions you have. Anytime.

Ad-hoc analyses

Need a quick report ready before a big meeting?

Our data analysts help you get the insights you need to make business decisions. Fast.

Team training

We’ll train your team members on how to use the pipeline or reports.

Guiding you towards a data-driven organization.

Strategy consultation

Need help choosing a tech stack? Naming conventions? Or UTM structure?

Let’s talk it through with a monthly strategy consultation.

Click the button above to schedule a free, no-obligation call to plan your data strategy.

“It’s one thing to connect the data, it’s another to tell the story. That’s what every executive wants, and Systematik got that right away.

I mean this as the greatest compliment, my boss barely had any notes on the first dashboard draft, which never happens.”

– Mike Greene

Head of Production & Development at Axon Studios

We helped David M. and his team get “much higher confidence” in their data and reporting

“Systematik untangled our google tag manager, analytics, and adwords tracking giving us much higher confidence in our data and reporting.

They are excellent communicators and were willing to work within our own communications infrastructure showing a mastery of remote working capabilities.

They are talented and knowledgeable. We provided the necessary direction and they delivered on time. We will be hiring them again.”

-David Metze
Founder of Incite Response

When your data is automated (and accurate),
everything else falls into place

Move faster

When stakeholders have access to a single source of truth, decisions are better and faster.

Improve team collaboration

Breaking down data silos fosters better cross-departmental communication.

See the future

Combine your data with market trends to identify growth opportunities.

Improve employee retention

Automation frees up staff time, contributing to more work-life balance—and happier employees.

React faster

With data monitoring and alerts, you’ll know right away if a system or KPI behaves abnormally.

Stay on target

Get updated daily on the health and trends of critical KPIs.

Understand your customers

Rich data provides a 360-degree view of your customers and where they come from.

Raise company valuation

Investors and stakeholders value robust data architecture.

Take advantage of AI and ML

With data, you can take full advantage of artificial intelligence and machine learning.

We aren’t marketers that dabbles in data analytics.
Data is all we do.

Before coming to us, many of our clients had been burned by other vendors. Some of them tried out an IT agency, who can build a basic data pipeline (amongst other things). Others went with a “data-driven” marketing agency, who can create marketing reports by hacking a few tools together.

But none of them are specialized in data. So it’s no surprise that the end result didn’t meet their expectations:

❌ The solution was too difficult to use, limiting adoption throughout the company
❌ Unexpected costs arose after implementation, leading to budget overruns
❌ There was lack of post-sale support
❌ There were data breaches
❌ The tech quickly became obsolete, requiring costly updates
❌ They got data, but it didn’t answer their most important business questions

We aren’t a marketing or IT agency that does a bit of data analysis on the side. We specialize in data analytics. It’s all we do. Each member of our team specializes in a different aspect of data.

Tracking specialists

Ensure that the data is collected accurately.

Data architects

Plan and design the data architecture to be implemented.

Data engineers

Extract and transform the data into a single source of truth.

Data scientists

Specialize in AI and Machine Learning.

Data analysts

Build dashboards, do data analysis, and answer all of your questions.

Some of our clients

What makes us different?
We get it right the first time around.

Thanks to our thorough processes, our clients don’t need to do redos. Or walk away with unanswered questions.

Here’s how we do things right the first time around:

1. We don’t cut corners

If you cut corners when building a house, it might be cheaper to build. But in the end, it will cost more. Because the house will require more maintenance. And who wants to live in a poorly built house anyway?

The same goes for data. That’s why we…

✔️Build robust monitoring systems to continuously validate the accuracy of the data and health of the pipeline

✔️Optimize our code to reduce your costs

✔️Follow data modeling best practices for maximum reliability and flexibility

✔️Document everything, from the naming conventions to the code to how the data pipeline works (so that troubleshooting is easier)

Because we build in a modular way, it will be easier for you to add new features in the future.

2. We are agile

No matter how big and complex your project is, we’ll break it down into value packed 3-week sprints. That way, you’ll get value from the start and if we need to pivot, we don’t have to rethink the whole architecture.

3. We never assume

Many other data analysts assume too much. They don’t ask the right questions. Instead, they build dashboards based on what they think is right. And sometimes, that’s the right call. But when it’s not… you end up making business decisions using inaccurate data.

Our team does things a little differently. We start by asking our clients a ton of questions to make sure we’re on the same page.

4. We build solutions that scale

Data analysis isn’t a one-and-done type of thing. It’s a continual process. Which is why we build solutions that are designed to scale with your business.

To do that, we build on Google Cloud Platform, which offers a wide variety of integrated services to cover your needs (like data warehouse, Machine Learning and AI, global infrastructure, security and compliance). Because it’s much more cost-effective and flexible than traditional servers, it’s built to scale with your business.

5. We’re open to your feedback and always looking for ways to improve

We always make sure our clients actually use the dashboards we build. If they don’t, we figure out how we can make them better until they actually use them.

At the end of the day, it’s always about our clients – and not what we want to build or what we think is right.

6. We don’t overengineer

Data engineers love to build complex solutions for bragging rights or cranking up the bill.

Not us. We make solutions as simple as possible. Which means they cost less – and have less opportunity to break.

7. We’ll always keep you in the loop

We don’t hide our mistakes and hope you don’t notice. We make everything we do visible. So if something goes wrong or breaks, you’ll see it.

The dashboards we create have a monitoring system so you can see at any time if the pipeline or data quality test has failed (and if it does, we’ll fix it right away).

8. We give you full ownership

Some agencies will give you access to the dashboard they build – but they don’t give you ownership of the data architecture.

If you work with us, we’ll put everything under your company name. So if our relationship ends at any time, you won’t lose a thing.

“Systematik prevailed where 2 other agencies failed miserably.”

“Systematik prevailed where 2 other agencies failed miserably. They did the work in a fraction of the time and at a fraction of the cost of the other agencies.

Thanks to them, I can now confidently make critical business decisions based on accurate data. This is absolutely invaluable to our business!”

-Adrian Shiel
Co-founder of High Performing Coach Ltd.

Hi! I’m Eric. Ex-pro poker player and current data nerd.

Before becoming a full-time data consultant, I played poker professionally for 12 years and made over $2M in profit.

But after a certain point, I got bored. I didn’t find it to be fulfilling anymore. Sure, the money was alright… but I wasn’t helping anyone.

So I went to university and studied mathematics. Shortly after, I started my own marketing agency – and realized that I loved the data and tracking side of marketing. Like building dashboards and calculating the profitability of ads. So I decided to focus just on that – and Systematik was born.

As I began working with clients, I was surprised to find that there were as many gamblers in business as there were at the poker tables. Far too many people operate their business on gut feelings without any numbers to back them up.

A good poker player doesn’t roll the dice. They examine the probabilities and strategize to make smart, money-making decisions. The same goes for running a successful business.

So I decided to use what I had learned in poker to help other people grow their businesses. And make informed decisions based on data – not guesswork.

Plan your 2024 data strategy by booking a free consultation today

During this free, no-obligation call, we’ll discuss how your organization can start leveraging data to make better and faster decisions.

Frequently asked questions

Nope. And here’s why:

Our retainer plans range from $2,000 – $4,000 per month. For the $4K plan, that comes out to $48K per year. A junior analyst will cost you $55K-$60K per year (maybe less if you’re lucky). Plus, you have to train them. Not to sound cocky, but there’s just no way that they can dive right in and create a pipeline and dashboard like the one we can create.

Plus, you’ll get much more than just a data analyst with us. You’ll get a full-stack data team who will build your custom dashboard in less than 3 weeks. And then take care of your entire pipeline for you, ensuring the data stays accurate. You’ll also get regular consulting on technology and data architecture.

All that for less than the cost of a junior analyst.

As with anything in life, you get what you pay for. Sure, you could hire a junior data analyst. Or marketing generalist who dabbles in a bit of everything. But they don’t have our specialized skills and won’t match what we can do.

If you don’t believe us, then maybe you’ll believe dbt and Fivetran. They’ve reviewed our projects and testified that our work not only meets industry best practices, but is of the highest quality.

If your business is just starting out, it might not make sense to invest in data analytics just yet.

But if your business is making $5M+ per year, then there’s a good chance your business would benefit from data analytics.

Think of it like this: all-in-one solutions in data are a bit like those Swiss Army knives. They promise to do everything – cut, screw, open bottles. Sounds great, right? But when you actually need to do a serious job, like screwing in a tight screw or cutting a tough material, that tiny knife or screwdriver just doesn’t cut it. You need specialized tools.

Now, apply that to data solutions. If an all-in-one is super flexible, it’s like a Swiss Army knife with a hundred tools. It can do a lot, but it’s so complex that you need a specialist just to find the right tool. And specialists aren’t easy to come by.

If it’s too simple, it’s like having a Swiss Army knife with just a couple of tools. It works fine at first, but as your needs grow – say you need to manage more data or your analyses get more complex – that simplicity becomes a limitation. You’re stuck trying to do a professional job with a basic tool.

And what if the all-in-one doesn’t have the exact tool you need? You end up having to get additional tools anyway and find a way to make them work with your Swiss Army knife.

Plus, these all-in-ones are often like fancy gadgets where you can’t see how they work inside. If something breaks or doesn’t work as expected, good luck figuring out why without a detailed manual or an expert.

And to top it off, they’re like high-end gadgets that cost a pretty penny, especially as you start using them more and more.

In a nutshell, that’s why many companies prefer building custom data pipelines. It’s like having a tool belt with exactly the tools you need, chosen by you. Sure, it takes time to assemble and you need a range of tools, but in the long run, it’s more efficient, scalable, and tailored to your specific needs.

As your business and technology change, the data changes with it. So when, for example, Google Analytics 4 updates their platform (which happens almost every week), there’s a good chance that the structure of the data will change too.

Bottom line? Unless you want your data to be inaccurate, you need to regularly cleanse, update, and analyze your data as your business grows and technology changes.