Why your business needs a measurement strategy
Discover why your business needs a measurement strategy. Learn how a well-defined data strategy can enhance decision-making, optimize operations, and drive growth.
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Building a single source of truth in less than 3 weeks for Axon Studios.
“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
Fortunately, the stakeholders had a good idea of what they wanted. After a thorough discussion, we were able to build a detailed roadmap of how we would tackle this project.
Step 1
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The project was completed in three weeks, from the approval of our roadmap to delivery.
A fully automated Looker Studio dashboard that allowed them to analyze their KPIs in ways that were previously impossible. Most importantly, the dashboard saved them a combined 10 hours a week.
Don’t just take our word for it—the Axon Studios team couldn’t be happier with the results. To hear it directly from them, watch the video testimonials provided by the Head of Production at Axon Studios.
Discover why your business needs a measurement strategy. Learn how a well-defined data strategy can enhance decision-making, optimize operations, and drive growth.
This guide will provide you with recommended steps, examples, templates, and a workbook to establish a solid data strategy framework.
Why can’t we simply connect raw data to dashboards and start analyzing? In this article, we will go over 7 reasons why data needs to be transformed before analysis.
We are not marketers who dabbles into data analytics. Data is all we do.
We build and advise on end-to-end data solutions. Our team comprises measurement specialists, data analysts, data engineers, data architects, and data scientists.
As with anything in life, you get what you pay for. Sure, you could hire a freelancer, an agency from a third-world country, or a marketing generalist who dabbles in a bit of everything. In fact, most of our clients tried one of these solution before contacting us.
Here’s why we think you should save yourself the hassle and hire us directly.
Yes, we will work as extended part of your team. You can let us know about your processes and we will just white-label the service package for you.
Yes, this is exactly the type of work we specialize in. We’ve built over 25 modern data pipelines. Consolidating data from more than 100+ data sources.
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.
