Self-service Business Intelligence Tools For Linux Enthusiasts – As more companies require their employees to participate in the creation of reports and generate insights as well as the need to generate insights in a more timely manner, self-service business intelligence (BI) tools are becoming an important part of one for each company’s data strategy. Now you may ask, what is self-service reporting and how does it help companies in generating reports.
Self-service BI also known as self-service analytics is a tool that enables non-technical employees of an organization to be involved in the data analysis process without seeking help from IT experts or specialized data analysts. ah. This is because in the past before the introduction of self-service BI tools, only users with knowledge of SQL (database query language) could generate reports but now anyone can create ideas and get the data they need in a short time. using simplified interfaces without writing a single line of SQL code.
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So far we’ve mentioned the term self-service BI tools a lot and I’m sure you’re wondering if there are BI tools that aren’t self-service and the answer is yes. The opposite of self-service BI is traditional BI. Users of standard BI Tools are often IT professionals with extensive SQL knowledge.
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This article aims to highlight the differences between self-service and traditional BI tools as well as provide an in-depth analysis of the top 5 BI services on the market so you can make an informed decision. about the best tools for your business.
But what exactly is self-service analytics? – We’ve written about it in detail here: Self-Service Is a Business State.
In broad strokes, if you want to determine whether a BI tool is self-service or not, you need to evaluate the following:
Self-service reporting is supposed to enable anyone in the organization to analyze the data they need routinely using a drag-and-drop interface.
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For an in-depth comparison, let’s compare traditional BI and self-service by looking at 5 key areas: infrastructure, capabilities, data structure, reporting and data management.
It requires data governance policies to address concerns about data structure and storage as well as user access
There are certain features that are part of every self-service BI tool regardless of brand. In this section we will present the important ones:
Now that we’ve covered the high-level details of self-service BI tools, let’s dive deeper into the unique self-service BI brands that have hit the market and get to know them better. We’ll start with Metabase, Looker, Tableau and Power BI first.
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Is a BI-focused self-service tool that enables non-technical users to explore data and create actionable insights without using SQL.
Metabase is an open source BI tool ideal for companies looking for a free BI tool to answer their daily analytical questions. However, to answer modern queries, writing SQL queries is mandatory.
Looker is a cloud-based self-service BI tool from Google that sits on top of your SQL database and helps you structure and visualize your data.
Looker is a great self-service BI tool for companies with high budgets that are already using the Google ecosystem such as Google Analytics and Google Cloud Platform (GCP) as Looker easily integrates with these tools for advanced use cases such as data import or forecasting.
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But for small companies with increasing data needs – it may not be the best choice because of expensive constraints.
Tableau is a powerful BI tool that can be deployed in a variety of environments. It is suitable for organizations that have the technical resources (Analysts and developers) to properly set up the site, structure the data and generate the insights required in each department.
Lightdash is a new open source self-service BI solution that can connect the user’s dbt project and allow them to directly add measurements to the data transformation layer, then create and share insights with the whole team.
Lightdash is certainly promising, but it still has a long way to go to become a full self-service BI service that can meet the needs of both business users and data teams.
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At the end of the day, there are hundreds of BI tools on the market and each one offers different features and capabilities. The important thing is to do your homework by reading various articles, forums, user reviews, etc. before choosing a BI tool for your organization. Most importantly, If you can get your hands on a free trial version, go and test some of your business use cases of the tool to assess if it can meet the requirements. This is important to help you make an informed decision.
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