Role Of Business Intelligence – This time we will talk about how Low Code development helps and complements a company’s Business Intelligence strategy, often abbreviated as BI. To do this, we start by introducing the concept of Business Intelligence.
Was introduced in the 1950s by IBM researcher Hans Peter Luhn. He defined BI as “the ability to grasp the interrelationships of presented facts in ways that guide action toward a desired goal.” Over the years, the term has evolved into the field of digital transformation.
Role Of Business Intelligence
Business Intelligence is the set of analytical techniques, methodologies and tools used to analyze business information, supporting subsequent decisions and objectives.
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The term Big Data is commonly used in conjunction with Business Intelligence to refer to the storage and analysis of enterprise data. While Big Data focuses on the set of technologies that allow merging, cleaning and storing data from different sources (in a Data Warehouse), Business Intelligence considers the later stages, focusing on the analysis of static or dynamic data that have been stored.
With Low Code technology, companies can build intelligent applications with minimal code usage. In turn, these platforms offer a variety of features that make them an interesting solution for Big Data + Business Intelligence strategies. It is worth noting how easy Low-Code platforms make it to generate, store and analyze data and integrate third-party software.
Low-Code platforms can be a critical part of a Big Data and Business Intelligence strategy, as they can generate, store and analyze data, as well as integrate third-party software.
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Low-Code platforms make it easy to build applications from back-end to front-end, giving companies control over the data they generate. Running applications will be a constant source of data about a company’s daily operations, providing real and valuable information for subsequent strategies and future decisions.
Low Code platforms generally have their own database management, centralizing the information generated by processes or applications in a structured way, forming part of a larger Big Data strategy.
Low Code development tends to have built-in mechanisms for data analysis: from KPIs and BAMs, to full reports with customizable analyzes and filters. However, if real-time analytics and optimized data mining tools are needed, these platforms and their databases can be easily integrated with external tools such as those mentioned below.
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There will be situations where specific solutions are required for advanced data analysis; for example, some situations may have so much data that we need OLAP (online analytical processing), or other situations may require Data Mining (data extraction).
In addition to the features seen above, modern Business Intelligence programs, services, or platforms share common features that tend to incorporate features to integrate with other platforms, either at the API level or through a database connection .
Power BI is Microsoft’s Business Intelligence solution, which aims to provide interactive visualizations and business intelligence capabilities through intuitive and simple interfaces.
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Tableau is another great solution for interactive data visualization focused on business intelligence, which we have integrated with AuraPortal for some projects and achieved impressive results.
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Businesses increasingly rely on the ability of business intelligence to collect, integrate, analyze and present valuable data. Business information systems accelerate decision-making within an organization, optimize internal business operations, and increase the efficiency of organizational processes. With the help of BI analysts, companies can discover and evaluate current market trends.
As technology advances, businesses continue to manage large amounts of data every day. Large amounts of data require detailed analysis to extract valuable information from large data sets. This is where a business intelligence (BI) analyst comes in. The BI analyst uses technical and analytical skills to collect, analyze and present data in a more meaningful way.
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With the input of a qualified BI analyst, an organization can use its most valuable information to meet its financial obligations. The business intelligence analyst can identify the strengths and weaknesses of the organization and formulate strategies to improve its performance.
Business intelligence analysts play a vital role in ensuring that organizations make informed decisions based on proven and validated facts generated through detailed analysis of business data. According to the requirements of an organization, a business intelligence analyst is always ready to implement the useful information generated from the databases. The analyst can identify the most effective strategy for making pre-established business intelligence actionable.
The business intelligence analyst can make recommendations for technology improvements within an organization. In most cases, analysts are often required to chair seminars to train managers and colleagues on how to implement and manage newly developed technologies. The business intelligence analyst can work as a consultant or work directly for the company.
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Business intelligence analysts are always up to date with changing market trends. With this, it is easy for them to examine and analyze the marketing strategies of their competitors. Based on the results, organizations can identify where to reduce or improve the costs of their products. A business intelligence analyst is responsible for providing intelligence solutions that fit the needs of an organization.
Organizations are beginning to understand the importance of business intelligence analysts in their business. Companies should always aim to hire skilled BI analysts to gain actionable business insights. Qualified business intelligence analysts are one of the main contributors to success in any business.
Business Intelligence Analyst roles and responsibilities include providing technical support, gathering relevant data, analyzing business data, communicating business results, generating business reports, resolving business issues and more. Enterprise Resource Planning (ERP) systems are essential for businesses of all sizes. amounts They enable companies to manage their resources and operations more effectively and efficiently.
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In this blog post, we will explore the role of BI in ERP systems. We will also see the advantages of using BI in ERP systems and some examples of integration of both.
Business intelligence refers to the process of turning data into knowledge. BI tools allow users to analyze their business data points and find trends and patterns. This can help them make better decisions about their business. BI can be used in all aspects of business, from marketing to finance and operations.
BI in ERP helps to analyze human resource productivity and job satisfaction and helps to take corrective measures. All these factors help to increase the efficiency of an organization.
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BI is used not only for decision making but also for performance monitoring. BI aims to help an organization make better decisions, improve its performance and gain a competitive advantage over other companies.
The role of BI in ERP systems is becoming more and more important. With the large amounts of data that ERP systems now process, it is essential to have a tool that helps process and make sense of all that ERP data.
ERP systems contain large amounts of data that can be used for Business Intelligence purposes. Data can include sales, inventory, production, customer orders, and more. By using BI tools, organizations can analyze this raw data to better understand what is happening in their business. This can help them make better decisions about resource allocation, improving operations, and more.
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Companies can use these tools with core business processes to provide a complete business view. In many cases, business intelligence and ERP systems together can quickly access and visualize data. Benefits of using BI in ERP
It can help organizations make better decisions by providing relevant and timely information. BI can also help organizations identify trends and patterns that may not be detected through manual data analysis.
It can help organizations track their business performance over time. This can help them identify areas where they need to improve their performance. Increased efficiency and productivity
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It can help employees be more productive by giving them information that helps them do their jobs better.
BI can also help organizations identify areas where they need to make changes to improve the efficiency of their operations.
This can help customer relationship management systems deliver the best possible customer service. Access to valuable business data
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Companies can use data processed by ERP systems for Business Intelligence purposes. By using a BI software system, organizations can analyze this data to better understand what is happening in their business.
Companies can also use it to help with hiring and firing decisions. By analyzing data about employee performance, organizations can make better decisions about who to hire and who to fire.
These are just a few examples, and the list of KPIs that can be measured using BI is at
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