What Is The Purpose Of Business Intelligence – Everything about your business, past and present, is recorded as bits of data. Marketing numbers, human resources, company budget, sales volume – you name it. The number of business domains from which data is extracted can be large. However, as a business, you may be more interested in extracting value from this information than collecting it. Be thankful that there is software for everything.
Business Intelligence (BI) is a collection of technologies and practices for turning business data into actionable reports and visualizations. Founded in the early 80s and growing as an industry in its own right over time, BI has given birth to various roles and professions. We have explained the role of the ETL developer. This material covers the specifics of the BI data infrastructure, so we recommend reading it for a deeper understanding of the topic.
What Is The Purpose Of Business Intelligence
Today, we’ll look at the role of a BI developer, their typical responsibilities, background, and skills required. We also explain the differences between the other standard roles involved in building a BI system and the specific situations in which you should hire a BI developer.
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Business intelligence developers are engineers responsible for developing, implementing, and maintaining BI interfaces. It includes query tools, data visualization and interactive dashboards, custom reports, and data modeling tools. However, when we talk about business intelligence, we need to give a more rigorous explanation to the concept of this technology.
The entire BI system can be divided into its internal part and the actual user interface for working with the data. Why is this division so important? Regardless of the complexity of the system, a typical BI platform has 3 layers: the data source layer, the warehouse layer, and the reporting layer. Let’s break it down:
Where the raw data is stored. This is one of your databases, cloud storage, and separate files filled with unstructured data. Data sources are the starting point of any BI system because they connect to the following data integration tools, storage and business intelligence interfaces.
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Includes all the technologies that facilitate the storage process. It is a single repository for all enterprise data and tools that perform Extract, Transform and Load (ETL). Data is transferred to a single database for several reasons:
Thus, the data source and warehouse layers are the basic infrastructure of a BI system. Building and maintaining it is the responsibility of the database developer/ETL and data analyst/engineer.
Is the endpoint for data. This layer is the true BI interface that allows users to access data and drag it from the warehouse to analysis. Analytical capabilities may vary depending on the business requirements for the system. But in the simplest scenario, it’s an SQL query and a simple data visualization tool.
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Any software that makes up the reporting layer is the responsibility of the business intelligence developer. Within a business intelligence project, a BI developer takes responsibility for engineering, management, and strategic planning. Thus, this person can be a project leader and/or an executive.
Now that we’ve defined the BI developer’s place within the entire BI platform, let’s take a look at the responsibilities of this individual.
Project scope determines the level of involvement in a given role, as engineers with similar technology sets and domain knowledge are interchangeable. Developing BI interfaces requires deep expertise in software engineering, databases, and data analysis. So, in part, a data engineer with a background in software development and experience with BI can lead the interface development process.
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However, business intelligence tools can include many industry-specific functions. BI developers are also aware of the specifics of the business domain: this allows them to understand business requirements, implement appropriate data models and data presentation solutions. Thus, the responsibilities of the BI developer are as follows:
Business intelligence is always related to the actual business domain and specific organizational requirements for data analysis. This means that BI tools can be very different from company to company. Suppose there are two projects:
In both cases, the end product will be a BI platform. However, in the first case, it requires very complex data analysis options because there are many dimensions to analyze. The data itself may require image recognition as it may be presented in any format such as X-ray, MRI or ultrasound.
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It’s the difference in understanding the business requirements for the platform that BI developers need to be aware of. Because they control the number of reporting tools, their forms and additional functions.
After the business requirements are collected and documented, a number of data engineers / ETL / front-end developers are tasked with translating them into technical tasks. In this case, the BI developer is responsible for expressing the tasks that include the user interface and reporting capabilities. More specifically, the BI developer determines whether the user interface should be an interactive dashboard with a drag-and-drop interface or an area with data features, whether the system requires data visualization, and how the user interacts with it. .
All of these decisions translate into real tasks for the ETL development team and the BI team (front and back). The development phase can also be managed by a project manager or BI developer.
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As mentioned above, a BI developer can take a technical lead role on a development team or share the actual duties of a developer. But BI developers can make strategic decisions about the software developed and manage the entire process up to deployment. Testing and debugging may also be the responsibility of the BI developer during the pre/post-launch phase.
Reporting is a separate task that has less to do with engineering, but instead deals with databases and data models. Using the BI interface, the user sends a query to the database to retrieve some data. This information is then formatted into a visual form (such as a pie chart) or a text summary with the given properties.
When the user configures what to drag and how to format it, the software is responsible for finding this information and recognizing the required data. This can be done using data modeling – the structure in which data is stored in a database.
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Data models are defined and applied to databases by data analysts and ETL developers. However, the BI developer provides reporting requirements, so will be the deciding factor for future models. These models represent the objects in the database and the relationships between them, thereby determining how data can be queried. And this is part of the competence of a BI developer.
Logically, the BI developer also controls how the data is queried, its validity, and how the report works.
There are many approaches to creating a single repository for all company data. We discussed this approach in a special article about sheds. Although the architectural style of the data warehouse does not directly affect reporting, BI developers can participate in the design process.
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This point corresponds to the previous one. BI developers can be involved in documenting warehouse data structures as well as metadata (additional information about the data). These documents are used in the development process and help to decide on the desired reporting options.
Each system requires technical documentation. Although the BI developer doesn’t introduce users to the platform and show them how to use it, they are responsible for providing guidance as documentation. This document covers the scope of use for typical users and technologies. employees, e.g. API documentation, known technical issues, etc.
BI developer skills can vary by project. In some cases, a BI developer can have minimal interaction with software engineering and work as a SQL expert to ensure proper queries. But for a complete description, we list all the possible skills that fit the general responsibility.
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Experience with BI tools. First and foremost, any BI developer should have experience developing a customer’s BI product or customizing an existing one. When it comes to building custom BI products, knowledge of Python, scripting language, and experience with data visualization libraries is a must. A deep understanding of all underlying infrastructure is also required: This includes an understanding of data integration tools, ETL/ELT processes, data formatting and warehouse architecture.
If we’re talking about products that marketers use BI solutions for, BI developers need to be familiar with the relevant technology stack. It depends on the vendor, but the most popular solutions related to data transmission, reporting and database operations are Amazon products (eg QuickSight), Hadoop platforms or Apache technologies (eg Apache Superset).
DB/DBA background. The main reason BI developers need to be experienced with databases is that the main concern is SQL/noSQL queries. BI systems often require working with databases, data models, or distributing data across multiple databases.
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BI developers can also be involved in designing and building tools for online analytical processing (OLAP cubes). It is an advanced option for multivariate analysis using non-relational databases.
Background in data analysis. Although this does not require a BI developer
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