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Swiggy, India’s leading food ordering and delivery platform, has implemented Power BI to monitor real-time metrics across their fast-growing business, enabling data-driven decision-making.
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Hendrick Motorsports used Power BI to generate pit performance reports within minutes of a race instead of waiting two days prior for pit stop time feedback.
Professional services firm Grant Thornton has created a portal for customers to view Power BI content using Azure Active Directory B2C, so their customers now have secure, self-service access to financial insights.
PwC used Power BI and Azure Synapse Analytics to create a reporting and analytics solution that is customizable to customer needs, saves time and computing resources, and provides deep insights.
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What Is Business Intelligence And How Does It Work?
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Connect and analyze your entire database by integrating Power BI with Azure analytics services, including Azure Synapse Analytics and Azure Data Lake Storage. Analyze petabytes of data, leverage advanced AI capabilities, apply advanced data protections, and more easily share insights across your organization.
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Access self-service analytics to visualize and share insights with a Power BI Pro license for $13.70 per user per month. Everything about the past and current state of your business 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 collected can be large. But as a business, you may be interested in getting value from this information rather than simply collecting it. Be thankful that there is software for everyone.
Business Intelligence (BI) is a set of technologies and practices designed to transform business information into actionable reports and visualizations. Founded in the early 80s and developed as a separate industry over time, BI has given birth to many roles and professions. We have explained the role of ETL developer. This material covers the specifics of the basic BI data infrastructure, so we recommend that you read it to gain a deeper understanding of the topic.
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Today we will discuss the role of a BI developer, their typical responsibilities, knowledge and skills required. We also distinguish between other standard roles involved in building BI systems and specific situations that call for hiring a BI developer.
A Business Intelligence Developer is an engineer responsible for developing, deploying, and maintaining BI interfaces. These include query tools, data visualization and interactive dashboards, custom reporting and data modeling tools. But when we talk about business intelligence, we need to give a more rigorous explanation to this technological concept.
The entire BI system can be divided into its internal part and the actual user interface for interacting with the data. Why is this separation so important? Regardless of system complexity, a typical BI platform has 3 layers: the data source layer, the warehouse layer, and the reporting layer. Let’s break them down:
Where the raw data is stored. These are separate files filled with any of your databases, cloud storage, and unstructured data. Data sources are the starting points of any BI system because they are connected to all subsequent data integration tools, warehouses, and business intelligence interfaces.
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Includes all technologies that facilitate the warehousing process. They are both a single repository for all corporate data and tools that perform Extract, Transform and Load (ETL). Data is moved to a single database for several reasons:
Thus, the data source and warehouse layers are considered the basic infrastructure of a BI system. Its creation and maintenance is the responsibility of database/ETL developers and data analysts/engineers.
Is the endpoint of the data. This layer is the actual BI interface that allows users to access data, pull it from the warehouse for analysis. Analytical capabilities may vary depending on the business requirements of the system. But in the most basic scenario, it’s SQL queries and simple data visualization tools.
Each piece of software that makes up the reporting layer is the responsibility of the business intelligence developer. Within a business intelligence project, a BI developer takes on engineering, management and strategic planning responsibilities. Thus, this person can be both a project leader and/or an executor.
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Now that we’ve defined the BI developer’s position within the scope of the entire BI platform, let’s take a look at the responsibilities of this person.
The scope of the project determines the extent to which a particular role is involved, as engineers with similar technology stacks and domain knowledge are interchangeable. Developing BI interfaces requires deep expertise in software development, database and data analysis. So data engineers with partial software development experience and BI experience can lead the interface development process.
However, business intelligence tools can include more industry-specific functionality. BI developers also know the specifics of the business domain: this enables them to understand business requirements, implement the right data models, and apply data presentation solutions. So, the responsibilities of a BI developer are:
Business intelligence always depends on the specific business area and the data analysis requirements of the specific organization. This means that BI tools can be very different from company to company. Suppose there are two projects:
Enterprise Business Intelligence
In both cases, the end product will be a BI platform. But, in the first case, it requires more advanced options for data analysis, because there are simply more dimensions to analyze. The data itself may require image recognition as it may be provided in any format such as X-ray, MRI or ultrasound.
It’s the difference in understanding the business requirements for the platform that a BI developer needs to know. Because they control the number of reporting tools, their forms and additional functionality.
Once business requirements are gathered and documented, a number of data engineers/ETL/front-end developers are responsible for translating them into technical tasks. In this case, the BI developer is responsible for formulating tasks that include user interface and reporting capabilities. More specifically, the BI developer defines whether the user interface should be an interactive dashboard with a drag-and-drop interface or a set of fillable fields with data properties, whether the system requires data visualization, and how the user will interact. interact with it too.
All of these solutions are supported by the ETL development team and the BI team (front-end and
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