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Data is everywhere. Data is everything. From your cell phone to your computer by way of your microwave, every single bit of data is being tracked. How to get your bearings? How to analyze your data?
Don’t panic! It’s all taken charge of by data marts… (well, maybe not the data emerging from your microwave).
A data mart is a data warehouse but not just any. It’s a subset of a data warehouse that can be used for business purposes. How can it help your business? How to use it wisely? Why use it? Let’s dwell on data mart today and discover it through this article.
Data mart, they said? It’s a sort of data warehouse that focuses on a specific business area. It contains summarized and processed data, ready to be queried easily with a short delay.
A data mart helps you focus on a single topic or single business area of your organization. It means that if a single business usually has only one data warehouse, it could need several data marts corresponding to various departments. You can’t load more than 100 GB in a data mart, which can be insufficient if you want to analyze large amounts of data.
For instance, marketing teams often favor data marts because it allows them to focus on their analysis on a specific business issue without requiring huge amounts of data.
Nowadays, more than 62% of companies agree that self-service business intelligence is essential. Why not start now with a tool that your whole team can handle?
If you are not already familiar with data warehouses, you’d better read this article first.
To make a quick summary about data warehouses, here are some specifications:
It’s slightly different from data marts. So what platform should you use to make data-driven decisions?
Let’s make things clear: both can help you build data-driven decisions, but depending on the fields of those decisions, you will prefer to work with one or the other.
But the differences between the two systems don’t stop there. As a direct consequence of the specificities of the two platforms, data marts are way easier to use and implement (less complex and a quicker implementation process) because the amounts of data that go through the system are limited.
See below a diagram that summarizes the differences between the two systems.
How to implement a data mart?
Usually, the process unfolds as follow:
We have not gone into much detail to ease the understanding of the process, but for further explanations or any other questions regarding data marts, don’t hesitate to call on our teams.
There are 3 types of data marts: dependent, independent or hybrid data marts.
Reporting, dashboards, data integration, data warehousing and data preparation are some of the most important technologies to access to BI. But how is it that 74% of employees report overwhelmed when working with data? Can’t we help them access easy-to-use data tools?
Smaller than data warehouses but also quicker to implement, data marts are efficient solutions to many issues as they:
A data mart is a subset of a data warehouse that helps you build strong data-driven decisions specific to a department of your company. While some businesses might find them insufficient for central decision-making, they allow your teams to make practical and operational decisions, a true timesaver for those who want to implement it.
If you’re lost between data mart, data lake, data warehouse and just, data. Let’s take stock of the situation together.
By Emma Jeanpierre
10 Nov, 2021