BI System: 5 Business Benefits and How It Works

Contents:

• What is Business Analytics?
• Understanding BI Systems: How They Work and What They Mean for Business
• Training and Careers in Data Analytics
• Comparing BI Systems and End-to-End Analytics Systems: Key Differences
• Tasks Solved by BI Systems: How Business Benefits
• Stages of BI System Implementation: From Analysis to User Training
• Overview of Popular BI Systems on the Russian Market
• Key Selection Criteria BI Systems
• Who Interacts with BI Systems in Organizations
• Key Facts about BI Systems: 5 Key Aspects

What is Business Analytics?

Business analytics, also known as Business Intelligence (BI), is a methodology focused on analyzing data and key The company's business performance. The primary goal of business analytics is to identify problems and propose solutions to address them. This process provides managers with the necessary information to make informed decisions based on factual data, significantly improving management efficiency and contributing to the achievement of the organization's strategic goals. The use of business analytics allows for the optimization of processes, identification of new opportunities, and minimization of risks, making it an integral part of modern business. The main tasks of business analytics can be divided into three key areas. The first area is related to data analysis, where analysts process and interpret information to identify trends and patterns, enabling informed business decisions. The second area involves business process optimization. Here, business analysts study the company's current processes to identify bottlenecks and propose improvements that contribute to increased efficiency and cost reduction. The third area is related to strategy development. In this context, analysts work on creating long-term plans based on collected data and forecasts, which helps companies achieve their goals and improve their competitiveness in the market. Thus, business analytics plays a key role in the development and successful functioning of organizations.

• Collecting quantitative data on the company's activities - for example, information on the average check, number of sales, return rate, etc.;
• Processing and systematizing the collected data for further analysis;
• Data analysis: identifying patterns, trends, and anomalies, as well as developing solutions to eliminate problems or forecasting future company results.

A company offering subscription software analyzes data on the number of active users, average subscription time, and popular features. Using business analytics, it is possible to identify changes in the product that contribute to longer user retention and, as a result, increase the company's revenue. Effective data analysis helps optimize offerings and improve user experiences, which ultimately leads to increased profits and greater competitiveness.

For a more comprehensive understanding of business analytics, we recommend exploring the materials on the Skillbox Media website. There you will find an article on business analytics and an overview of the business analyst profession. These resources will help you gain a deeper understanding of current trends and tools in the field of business intelligence (BI).

In small and medium-sized companies, business analytics often rely on disparate data obtained from Excel spreadsheets, CRM systems, and 1C programs. This can complicate the analysis and decision-making process. In contrast, larger companies use more modern business analytics solutions, such as BI systems. These systems enable the integration and analysis of large volumes of data, which allows for more accurate and relevant insights for strategic planning and business process optimization. Investing in such technologies is becoming a necessity for companies seeking to improve their competitiveness and efficiency.

Understanding BI Systems: How They Function and Their Importance for Business

BI systems, or business intelligence systems, are highly effective software solutions designed to integrate, process, and analyze data from multiple sources. These systems enable users to quickly and efficiently make informed decisions by streamlining the data analysis process. The use of BI systems contributes to increased business productivity, improved reporting, and analysis of key performance indicators. In modern business, such tools are becoming indispensable for achieving competitive advantages and increasing the efficiency of management decision-making.

The basic mechanism of business intelligence (BI) systems includes three key ETL stages: data extraction (Extract), data transformation (Transform), and loading into the target system (Load). Let's consider each of these stages in more detail.

The data extraction stage involves collecting information from various sources, such as databases, files, web services, and other systems. This process is necessary for accumulating data that will be analyzed.

Data transformation involves cleaning and normalizing information to ensure its correctness and consistency. During this stage, data can be combined, aggregated, or modified to meet business analysis requirements.

Data loading is the final stage, during which the processed data is placed into the target system, such as a data warehouse or analytics platform. This step allows users to effectively use the data to make informed decisions.

Thus, the ETL stages form the foundation for the functioning of BI systems, ensuring high-quality analysis and support for business processes.

• Data collection. BI systems can automatically extract information from a variety of sources, including CRM, ERP, databases, and even Excel and Google Sheets, providing flexibility and speed.
• Data processing. Extracted data is converted to a standardized format, then structured and analyzed to identify patterns and dependencies.
• Data Visualization. BI systems create visual reports and visualizations, such as graphs and dashboards—interactive panels that display key metrics important to users.

Reports generated by business intelligence (BI) systems are actively used by specialists from various fields, such as analysts, CEOs, marketers, and product managers. A single BI system can generate reports for multiple purposes, satisfying a variety of user needs. Effective use of BI reports allows companies to make informed decisions, optimize business processes, and increase competitiveness.

BI systems significantly speed up the data analysis process. Users can avoid the need to study numerous reports from various sources and perform manual calculations of metrics. All data is presented in one intuitive interface, making analysis more efficient and accessible. The transition to BI technologies allows companies to focus on making informed decisions based on relevant information, thereby improving business processes and increasing competitiveness.

BI systems are most often used by medium and large companies that process significant volumes of data. Setting up and supporting these systems often falls on the shoulders of BI analysts, but business analysts and BI engineers may also be involved. In the following, we will analyze how business analytics is used in various organizations.

Data Analytics Training and Careers

Skillbox offers a wide range of courses to train specialists in data analysis. Among the current areas are: big data analysis, machine learning, data visualization, and statistical analysis. These courses will help develop the necessary skills and master the tools in demand in today's labor market. The training is focused on the practical application of knowledge, which allows students to effectively prepare for real-world tasks in the field of data analysis.

• The "BI Analyst Profession" course teaches dashboard creation, data analysis, and decision support for management.
• The "Business Analyst Profession" course focuses on business process analysis to increase company profits.
• The "Data Analyst from Scratch" course teaches the basics of data analysis, programming, and choosing a specialization.

Comparison of BI Systems and End-to-End Analytics Systems: Key Differences

The term "end-to-end analytics" is often confused with BI systems, but this is incorrect. End-to-end analytics and business analytics (BI) are different tools, each with its own characteristics and purpose. End-to-end analytics focuses on tracking data across all stages of a customer's interaction with a business, providing a complete understanding of the customer journey. BI systems, on the other hand, analyze and visualize data, providing management with information for informed decision-making. Understanding the differences between these tools will help companies choose the right solution for their needs. End-to-end analytics systems focus on analyzing marketing and sales-related data. They collect and process information from multiple sources, including web analytics, advertising platforms, and CRM systems. These systems provide a complete picture of customer interactions with a brand, which helps optimize marketing strategies and improve sales efficiency. This Skillbox Media article takes a detailed look at how end-to-end analytics helps companies make more informed decisions by improving their business processes. End-to-end analytics systems enable a thorough analysis of key metrics, including advertising costs in systems such as Yandex Direct. They can be used to track the number of orders received through advertising campaigns, as well as evaluate the revenue and net profit generated from these investments. This enables businesses to more effectively manage advertising budgets and optimize advertising strategies to achieve maximum profitability.

BI systems process large volumes of data, including financial indicators, production processes, budgeting, and a number of other aspects. These systems allow you to create comprehensive reports that detail all areas of the business, including marketing and sales. Optimizing data analysis with BI systems contributes to more effective decision-making and the identification of new growth opportunities.

BI systems provide information not only on advertising costs and related orders but also on the time spent by departments on tasks. This allows you to evaluate the performance of each department and determine which of them brings the greatest benefit to the company. The use of such data helps optimize business processes and increase the overall productivity of the organization. The use of BI systems helps make informed decisions based on analytics, which ultimately leads to improved financial performance and competitiveness of the company.

End-to-end analytics plays a key role in BI systems, providing important data on marketing efforts. It enables deeper analysis of business processes and informed decision-making based on actual data. Thanks to end-to-end analytics, companies can not only evaluate the effectiveness of their marketing strategies but also optimize costs, increasing overall productivity. The implementation of end-to-end analytics in business processes facilitates more accurate forecasting and improves the performance of all areas of the company's activities.

Tasks Solved by BI Systems: How Business Benefits

Modern business intelligence systems (BI systems) have the ability to process and analyze a variety of data, which creates significant benefits for businesses. In this context, it is important to highlight several key tasks that can be successfully solved using BI technologies. These systems help optimize decision-making processes, improve forecasting, and increase overall business performance through data analytics. Using BI systems allows companies to identify trends, analyze results, and quickly adapt to market changes, ultimately improving competitiveness. Resource Management with BI Systems. Business intelligence systems collect and store data on projects, transactions, and orders. By analyzing this data, companies can accurately forecast resource and product needs. This allows for the effective optimization of procurement and logistics processes, which in turn contributes to overall business efficiency. Using BI systems in resource management helps avoid surpluses and shortages, as well as improve planning and cost management. Understanding customer needs is a key aspect of successful business. By analyzing data on user interactions with products, business intelligence (BI) systems help identify both customer preferences and dissatisfaction. This, in turn, contributes to improving the quality of products and services offered, leading to increased customer satisfaction. Effective use of BI systems allows companies not only to tailor their offerings but also to offer personalized solutions, significantly enhancing their competitive advantage in the marketplace.

Analyzing sales patterns is an important aspect of marketers' work. By studying historical sales data, specialists can identify seasonal fluctuations and trends. This allows for more accurate planning of advertising campaigns and optimized inventory management. Understanding patterns helps adapt sales strategies, improving their effectiveness and increasing profits. Effective data analysis facilitates the creation of personalized offers for customers and improves the overall shopping experience.

Analyzing the causes of declining profits is a crucial task for any company. BI systems provide tools for a detailed study of all factors affecting financial results, including revenue, as well as fixed and variable costs. This analysis helps identify problem areas and develop effective strategies to address them. Using BI systems not only allows for understanding the current situation but also predicting future trends, significantly improving management decision-making and contributing to increased business profitability. Implementing BI technologies allows companies to significantly accelerate decision-making and increase their adaptability to the market, thereby strengthening their competitiveness. In a dynamic business environment, this ability is critical for achieving success and sustainable growth. Using business intelligence helps organizations effectively process data, identify trends and make informed decisions, which ultimately helps improve their market position.

Modern BI platforms play a key role in data visualization and providing powerful analytical tools that support decision-making. The integration of artificial intelligence technologies into these platforms expands their functionality, allowing not only to analyze data but also to propose optimal solutions and predict the outcomes of various scenarios. This makes BI platforms indispensable for businesses striving for effective management and increased competitiveness in the market.

Stages of BI System Implementation: From Analysis to User Training

Implementing a BI system is a complex, multi-stage process that can take anywhere from several months to several years. This process involves various specialists, such as BI analysts, developers, and end users, each of whom plays a vital role in creating an effective business intelligence system. The success of a BI system implementation depends on high-quality collaboration between these specialists, as well as a clear understanding of the organization's business needs and goals. Optimizing this process can significantly improve company efficiency and improve management decision-making based on data analysis.

In the first stage, understanding user requirements is key. This knowledge helps determine which reports and dashboards are needed for informed decision-making. For example, a CFO may request reports covering all departments, while marketers will focus on analyzing customer activity and advertising costs. A clear understanding of these needs contributes to the creation of effective data analysis tools, which, in turn, improves the quality of management and strategic planning within the company.

The next stage is to determine the necessary data. The BI analyst, interacting with users, compiles a list of the data required to generate reports. These may include indicators such as equipment uptime, the number of users in online systems, or other key metrics that will aid in analysis and decision-making. Proper data selection is the foundation for creating effective and informative reports. The data source identification phase begins, which includes an analysis of existing systems, such as CRM and sales automation software. A key step is to verify the accuracy and relevance of the data that will be used in the future. This will ensure high-quality information and improve the efficiency of business processes.

Choosing the right BI system is a key step in effective data analytics. The analyst must carefully assess user requirements and available data sources. Small and medium-sized companies typically benefit from off-the-shelf solutions that allow for quick, cost-effective implementation. Large organizations, however, often opt for customized systems to address their unique business needs and processes. Choosing the right BI system improves decision-making and enhances a company's competitiveness.

System setup includes integration with data sources and the design of user-friendly interfaces. A BI analyst translates user requirements into developer specifications, overseeing the implementation process and making any necessary changes. Effective system setup optimizes business processes and improves data analysis, which in turn facilitates informed decision-making.

System testing is a key step in verifying the correct operation of business intelligence (BI) systems. This process can involve both testers and end users. Their combined efforts are aimed at ensuring the functionality, usability, and high performance of the system. Effective testing helps identify errors and shortcomings, which contributes to the improvement of BI systems and user satisfaction.

User training is a key element of adopting new tools and technologies. Depending on the size of the user group, individual training sessions can be organized or training materials, including videos and webinars, can be developed. This approach promotes more effective information absorption and improves user skills. Investing in training not only improves the use of new tools but also increases the overall productivity of the team.

After successful implementation of a BI system, users begin to actively interact with reports, analyze data, and make informed decisions. BI analysts continue to support users, answering questions and offering recommendations for system improvements, which contributes to its effectiveness and maximum use of available data.

Implementing a BI system requires not only technical knowledge but also a deep understanding of business processes. The successful implementation of such systems depends on the active participation of all stakeholders, including company management, managers, and end users. Effective interaction between these groups not only optimizes processes but also improves the quality of management decisions, which in turn contributes to the growth of business competitiveness.

Overview of popular BI systems on the Russian market

Given limited access to international solutions, Russian users have the opportunity to use a wide range of business intelligence (BI) systems. In this article, we will consider the most relevant tools that continue to be popular among Russian companies. We will analyze their functionality, advantages and disadvantages, and also provide recommendations for choosing the right solutions for business process optimization.

Microsoft Power BI has held a leading position in the business intelligence market for 16 years, according to research by Gartner and IDC. This Microsoft tool is ideal for small and medium-sized businesses thanks to its integration with Excel, allowing users to easily analyze and visualize data. However, for in-depth analysis and working with complex tables and relationships, mastering the DAX language is essential. This will allow users to create more complex data models and conduct detailed analysis, improving the efficiency of business processes. Power BI offers a wide range of features that facilitate informed decision-making and improve company financial performance. Power BI offers three pricing plans: one free and two paid ones, priced at $10 and $20 per user per month. New users in Russia are exclusively offered the free desktop version. However, many companies continue to actively use Power BI as an effective tool for data analysis and reporting. src="//cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fwww.youtube.com%2Fembed%2FxTvoVfbokyI%3Ffeature%3Doembed&display_name=YouTube&url=https%3A%2F%2Fwww.youtube.com% 2Fwatch%3Fv%3DxTvoVfbokyI&image=https%3A%2F%2Fi.ytimg.com%2Fvi%2FxTvoVfbokyI%2Fhqdefau lt.jpg&key=8d3909c69dfb4ee29c710191d8dd756a&type=text%2Fhtml&schema=youtube" width="854" height="480" scrolling="no" frameborder="0" allow="autoplay; fullscreen; encrypted-media; picture-in-picture;" allowfullscreen="true">

Qlik provides a variety of business analytics solutions, including popular products like Qlik Sense and QlikView. These tools are designed with non-programming users in mind, making them accessible to a wide audience. Qlik Sense and QlikView enable you to effectively analyze data and make informed decisions, making them ideal for businesses of all sizes.

The Qlik interface provides convenient dashboard and report creation, significantly simplifying the data visualization process. Users can integrate public data sets, enabling analysis and comparison with internal company metrics. However, licenses are currently unavailable for users in Russia, forcing some companies to seek alternative solutions for working effectively with Qlik. This creates challenges, but also opens up opportunities to explore new tools and methods for data analysis.

Luxms BI is a Russian business analytics system created by Luxms, a company based in St. Petersburg. It offers the ability to quickly develop complex dashboards and integrate with a variety of visualization tools without requiring programming knowledge. Luxms BI's clients include such prominent companies as Russian Railways and Gazprom Neft. The system helps optimize business processes, improve data-driven decision-making, and increase the overall efficiency of organizations.

The cost of the Luxms BI solution is determined individually, taking into account the number of users and the required computing resources.

Apache Superset is a powerful open-source BI system that allows users to create interactive reports and dashboards. Its open source nature gives developers the flexibility to tailor the platform to specific business requirements. In Russia, companies such as VkusVill and Ozon have successfully implemented Superset, demonstrating its effectiveness and versatility in data analytics. Apache Superset enables data visualization, in-depth analysis, and informed decision-making, making it an ideal tool for companies seeking to optimize their business processes.

Apache Superset is free to use, making it especially attractive to companies with skilled developers. This data visualization and business analytics platform enables the efficient processing and analysis of large volumes of information, facilitating informed decision-making. Thanks to its open architecture, Apache Superset can be easily integrated into existing systems and adapted to specific business needs. This makes it an excellent choice for organizations looking to optimize their analytical processes and improve data interaction. There are solutions based on Apache Superset, such as Superset TA, created by TechAudit BI. These systems are typically paid and offer advanced data analysis and visualization capabilities. Using such tools allows organizations to effectively process and present information, which facilitates more informed business decisions. FineBI is a solution from the Chinese company FanRuan Software, which is distinguished by its ease of implementation and scalability. This software allows for easy integration with multiple data sources, making it an ideal option for organizations previously using Western BI systems. In Russia, FineBI is successfully used by companies such as Uralsib, Tele2, and the Moscow Credit Bank, which confirms its effectiveness and adaptability in the market.

FineBI pricing is determined individually, but a free trial is available to evaluate the system's functionality. This gives users the opportunity to test the platform and determine how it meets their needs before purchasing.

There are many factors to consider when choosing the right business intelligence (BI) system. In the next section, we'll take a detailed look at the criteria that will help you properly evaluate and select the most effective BI tools for your company.

Key Criteria for Selecting a BI System

Choosing a business intelligence (BI) system is a complex task that requires attention to several important aspects. When making a decision, it's important to consider functionality, integration with existing systems, ease of use, as well as user support and training. Each of these factors plays a significant role in the successful implementation of a BI solution and its impact on business performance. Let's take a closer look at how to choose the right BI system to best meet your needs and facilitate company growth.

Meeting your needs is key when implementing a BI system. It's important to clearly define the goals you want to achieve. What reports do you need? What data and information sources do you plan to use? BI systems typically require integration with specific databases, which must be taken into account when selecting a solution. A clear understanding of your needs will help you choose the optimal system that will provide effective data analysis and decision support. System functionality plays a significant role in its effectiveness. Ensure that it provides all the necessary features to fulfill your needs. For example, if you require a high level of data detail, the system should support this aspect. Also important are the capabilities for creating customized reports and the ability to receive notifications about critical situations, such as deviations in production processes. These elements significantly impact your ability to quickly respond to changes and make informed decisions. Usability is a key aspect when choosing a BI system. An intuitive interface allows users to quickly master the system's functionality, significantly increasing work efficiency. Complex and overloaded interfaces can lead to wasted time and reduced user motivation. We recommend requesting trial access to the system so that key users can evaluate its capabilities and ensure its ease of use. Choosing the right BI system can improve productivity and business intelligence.

The cost of BI systems can vary significantly. If the proposed price exceeds your budget, it's worth considering alternative solutions, such as open source systems or more affordable options. However, it's important to remember that such systems often require customization, which can entail additional costs for developers and BI analysts. The optimal choice should consider not only the initial costs but also the possible investments in system support and development over time.

In conclusion, choosing a business intelligence (BI) system is a key step in the successful operation of your business. It's important to carefully assess all your requirements and needs to avoid unexpected difficulties in the future. Choosing the right BI system will help optimize processes, improve data analysis, and enhance decision-making. Ensure that the selected solution integrates with existing systems and aligns with your company's long-term development strategies.

Who Interacts with BI Systems in Organizations

The implementation and operation of business intelligence (BI) in companies involves the interaction of many specialists. The key participants in this process are BI analysts, business analysts, BI managers, and BI engineers. Each of these professions plays a significant role in the successful implementation of BI solutions.

BI analysts are responsible for analyzing data and creating reports that help make informed business decisions. Business analysts focus on identifying company needs and formulating requirements for analytics systems. BI managers coordinate the team's work and provide strategic direction for the implementation of business intelligence. BI engineers are involved in the technical implementation of projects, including the development and support of the data processing infrastructure.

Effective collaboration between these specialists allows companies to maximize the potential of business analytics, which, in turn, contributes to increased competitiveness and improved business processes.

A BI analyst is a key figure in a company's data management, playing a vital role in BI systems. Their primary responsibilities include implementing systems, organizing the process of collecting and processing data, and creating informative dashboards and reports. A BI analyst also conducts in-depth data analysis, which helps make informed business decisions. In the Skillbox Media blog, you will find a comprehensive overview of the BI analyst profession, including training recommendations and information on earnings prospects in this field. This profession is in demand in the labor market, making it attractive to specialists seeking to develop their skills in analytics and data management.

Business Analyst: Optimizing Business Processes

A business analyst plays a key role in improving business processes and management systems, which contributes to the overall efficiency of a company. Their work includes not only the implementation of analytical systems but also comprehensive data analysis that goes beyond traditional BI systems. In cases where a team lacks a BI analyst, a business analyst assumes responsibility for their implementation and optimization. For a deeper understanding of the tasks and functions of a business analyst, check out our exploration of the profession in this field.

The BI leader plays a key role in managing business analytics and BI systems within an organization, coordinating the work of a team of specialists. This role is typically an experienced professional with deep knowledge of dashboard design and database management. This position is often applied for by BI analysts, business analysts, and BI engineers seeking career advancement and a desire to take on new challenges. An effective BI leader must possess not only technical skills but also a strategic mindset to optimize processes and implement innovations in the field of data analysis.

A BI engineer is a professional specializing in the development and configuration of business intelligence systems. They possess skills in working with databases, software development, and integrating various data sources. In organizations that do not have a BI engineer, these tasks may be performed by developers, but having a specialist in this field significantly improves the efficiency of analytical processes. BI engineers play a key role in ensuring high-quality data processing and analysis, which facilitates informed business decisions and improves the overall performance of the company.

Users of BI systems are key participants in the data processing process. They include both company employees who require reports for decision-making and data analysts who use the BI system as the main tool for analyzing information. Feedback and requirements from these users play a vital role in the development and optimization of BI systems within an organization, which, in turn, contributes to the efficiency of business processes and the quality of decisions made. It is important to consider their needs in order to create adaptive and intuitive BI tools that will provide maximum business value.

Key facts about BI systems: 5 key aspects

• BI systems are specialized software solutions designed to collect, process, and visualize large volumes of data. They are becoming indispensable for companies working with large amounts of information.
• These systems allow you to effectively solve a variety of problems, including analyzing financial indicators, studying consumer preferences, and optimizing business processes, which, in turn, contributes to increased competitiveness.
• The implementation of BI systems involves a team of specialists, including BI analysts, developers, and end users. At the initial stage, it is important to determine system requirements and data sources, then select a suitable tool, configure it, test it, and train employees.
• The Russian market offers a variety of BI systems, including solutions from domestic developers, open-source systems, and products from foreign companies that continue to work with Russia. Examples include Luxms BI, Apache Superset, and FineBI.
• When choosing a suitable BI system, consider its functionality to meet business needs, the user-friendliness of the interface, and budget constraints. It is important to conduct analysis and testing before making a final choice to ensure its effectiveness.