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What is Business Intelligence? Trends and Practices

Last updated on Sep 21,2023 918 Views

Business Intelligence Trends: Business intelligence (BI) is becoming an ever more critical element in the success of a business. This article will discuss what BI is, its use, and its current associated trends. We’ll also look into ways that businesses can successfully incorporate BI into their practices to gain competitive advantages. Read on to learn more about the powerful world of business intelligence!

What is Business Intelligence?

Business intelligence (BI) collects, analyzes, and displays data to help businesses make better decisions. BI tools and services can provide insights into customers, competitors, and market trends.

BI can improve marketing campaigns, product development, financial planning, and operations. BI can also help identify new business opportunities and optimize processes.

The use of BI has become more widespread in recent years as businesses have become more data-driven. The proliferation of big data and the rise of data analytics platforms have made it easier for businesses to collect and analyze large amounts of data.

There are several key Business Intelligence trends that are worth paying attention to:

  1. Artificial intelligence (AI) and machine learning (ML) for predictive analytics are on the rise. These technologies can be used to identify patterns and trends in data sets, making predictions about future events more accurate.
  2. Self-service BI tools are becoming more popular as they allow users to access and analyze data without needing assistance from IT or a data analyst. This trend empowers business users and speeds up decision-making.
  3. Mobile BI is another growing trend as more people use mobile devices to access information. Mobile BI apps allow users to access data and reports on their smartphones or tablets, making it possible to make decisions while on the go.

The Advanced Executive Certificate in Business Management in the Digital Era provides a comprehensive overview of business intelligence and other digital technologies to help professionals gain a competitive edge as they navigate through today’s digital landscape. 

Types of Business Intelligence

There are many different types of business intelligence, each with its own advantages and disadvantages. Here are some of the common types:

Types of Business Intelligence

  1. Data Warehouses: A data warehouse is a centralized repository of information that can be used for reporting and analysis. Data warehouses typically contain historical data that can be used to track trends over time. One advantage of data warehouses is that they can support decision-making by providing a single source of truth for an organization. However, data warehouses can be difficult and expensive to maintain, and they can become stale if not regularly updated with new data.
  2. Data Mining: Data mining extracts valuable information from large data sets. Data mining algorithms can uncover patterns and relationships within data sets that would otherwise be hidden. This type of business intelligence can be compelling but requires significant processing resources and expertise to use effectively.
  3. Online Analytical Processing (OLAP): OLAP is a type of business intelligence that allows users to interact with multidimensional data sets to analyze them from different angles. OLAP tools provide features such as cube browsing and drill-down that make exploring data sets and looking for patterns and trends easy. However, OLAP systems can be complex to set up and maintain, often requiring specialized skills to use effectively.

Benefits of Business Intelligence

Business intelligence (BI) has become an increasingly popular tool for businesses in recent years. BI is a broad term that covers a wide range of activities, including data analysis, reporting, and visualization.

There are many benefits to using BI within your business:

  1. It can help you to make well-informed better decisions by providing you with accurate and up-to-date information.
  2. It can improve efficiency by automating report generation and data analysis tasks.
  3. BI can help you to gain a competitive advantage by helping you to identify trends and patterns in your industry.

If you are considering implementing BI within your business, there are a few things to keep in mind. Firstly, BI is not a one size fits all solution – it needs to be tailored to the specific needs of your business. Secondly, BI requires access to high-quality data sources. If you do not have reliable data, your BI initiatives will not be successful. Finally, BI is not a quick fix – it takes time and effort to implement and get results from it. However, if you are willing to invest the time and resources into BI, it can be a valuable asset for your business.

Business Intelligence Trends

The term “business intelligence” has been used differently over time, but the basic idea is always the same: it’s about using data to make better decisions.

Today, business intelligence is more important than ever. The volume of data available to organizations is constantly increasing, and the need to make sense of that data is becoming more urgent. At the same time, new technologies are making it easier to collect and analyze data.

As a result, we see some interesting trends in business intelligence. 

The Rise of Self-Service BI

Traditionally, business intelligence has been the domain of IT professionals or dedicated BI teams. However, there is a growing trend towards self-service BI, which allows business users to access and analyze data without any technical assistance. Two factors drive this trend: firstly, the proliferation of easy-to-use tools such as Tableau and Power BI; secondly, the increasing data availability within organizations. As more and more businesses adopt self-service BI, we will see a rise in the number of “citizen analysts” who can make insights from data without any specialized training.

Companies are increasingly enabling their employees with self-service analytics tools which allow users to quickly access data from multiple sources and make meaningful visualizations for better decision-making without having any technical expertise or IT support staff involvement. Self-service analytics has enabled companies to become more agile by providing timely insights into their operations without relying heavily on IT resources.

The Rise of Artificial Intelligence

Artificial intelligence (AI) is progressively being used to help organizations make sense of their data. AI can be used for identifying patterns, classifying data, and making predictions.

The rise of Artificial Intelligence (AI) as a business intelligence trend is one of the most significant advancements in modern technology. AI has enabled businesses to generate more data, interpret it faster and utilize it to make smarter decisions. AI technologies like machine learning, deep learning, and natural language processing are being used by companies across industries to gain a competitive edge.

Through predictive analytics, automated processes, and other related technologies, businesses can better understand customer behavior and develop new products or services that meet their needs more effectively than ever before. 

AI-powered chatbots help companies provide personalized customer service while reducing operational costs simultaneously. As companies continue to embrace these technological advances, they will be better equipped with real-time insights into consumer preferences, thus allowing them to stay ahead of the competition in the marketplace.

Automating Business Intelligence

Business intelligence trends have been evolving rapidly over the past few years, including the automation of business intelligence processes. Automation has become an increasingly important part of successful business intelligence strategies as it can help to increase accuracy, reduce costs and improve efficiency. Automated Business Intelligence (BI) processes allow for data from multiple sources to be collected, analyzed, reported on, and visualized in a standardized way that helps organizations make more informed decisions. 

By automating these processes, companies can save time by not having to gather data manually or create reports each time they want insights into their operations. Instead, they can automatically collect and analyze data in real-time, allowing them to act quickly upon changes in the market. 

Additionally, automated BI tools enable faster decision-making, improving customer service levels due to better customer segmentation analysis. Overall, automation of business intelligence processes gives businesses access to greater insights about their customers and operations, helping them remain competitive in today’s ever-changing digital landscape.

Data Governance

Data Governance has become one of the most critical business intelligence trends recently. It is a strategic approach that supports organizations to effectively manage their data assets and ensure they are used responsibly and securely. With Data Governance, businesses can better understand how their data is utilized and ensure it complies with all relevant laws and regulations. Additionally, it allows them to monitor access levels for different users and set policies around sharing or selling customer information. This helps protect the sensitive company or customer data from being misused or exploited by malicious actors. 

Furthermore, Data Governance provides greater visibility into the entire organization’s data lifecycle – from collection to storage to usage – which improves decision-making capabilities throughout the organization. Finally, this trend also increases efficiency since employees no longer have to search for specific pieces of information manually; instead, they can quickly find what they need using automated tools within an enterprise-wide system designed with Data Governance principles at its core.

The Emergence of Voice-Activated Assistants

Voice-activated assistants have become a major trend in business intelligence. As technology advances, businesses increasingly recognize the potential of voice-activated assistant solutions to streamline processes and save time. These tools offer advantages that include natural language processing capabilities for gathering information from multiple sources, faster response times for customer queries, improved accuracy of data collected and analyzed, and more efficient decision-making due to real-time access to relevant data. 

They can help employees stay organized while enabling customers to get their questions answered quickly without navigating complex menus or making calls during peak hours. By leveraging existing AI systems with voice activation capability and integrating new software into enterprise operations, companies can be at the forefront of this emerging trend in business intelligence technologies.

Collaborative Business Intelligence

Collaborative Business Intelligence (BI) is rising and becoming an increasingly popular business intelligence trend. This technology works by combining data from different sources within a company, providing users with insights that can help drive effective decision-making. Collaborative BI enables teams to share their knowledge and expertise while accessing the same data sets across departments, leading to better communication and more efficient problem-solving. 

Additionally, this technology allows for real-time analysis of large amounts of data to quickly identify key trends or opportunities that may be missed when viewing only one set of information. Collaborative BI also helps organizations save time and money through automated processes such as creating reports without requiring manual input from multiple people. Finally, it is important to note that collaborative BI reduces errors due to relying on single sources of information since multiple users are involved in simultaneously analyzing the same data set. 

All in all, collaborative BI is essential for any organization looking to remain competitive in today’s market by gaining insights into their customers’ behavior and improving operational efficiency overall.

Best Practices for Implementing and Maintaining a Business Intelligence System

When it comes to implementing and maintaining a business intelligence system, best practices should be followed to ensure success. First and foremost, it is essential to clearly understand business intelligence and how it can benefit the organization. Once this is established, a clear implementation and maintenance plan must be implemented. This plan should include the identification of key stakeholders, setting realistic goals, and creating a timeline for implementation.

Once the plan is created, it is crucial to execute it flawlessly. This means working with BI software vendors to ensure that the system meets all of the organization’s needs, training employees on how to use the system, and testing the system thoroughly before going live. After the system is up and running, monitoring its performance and making changes as needed to keep it running smoothly is crucial.

By following these best practices, organizations can set themselves up for success with their business intelligence systems. By taking the time to understand what Business Intelligence Trends are and how it can be used, establishing a clear plan for implementation and maintenance, and executing that plan flawlessly, organizations can reap the many benefits BI offers.

Common Pitfalls to Avoid When Implementing and Maintaining a Business Intelligence System

A few common pitfalls to dodge when implementing and maintaining a business intelligence system exist. One is failing to design the system properly. This can lead to several problems, including inaccurate or incomplete data, which can lead to bad decisions based on that data.

Another pitfall is not dedicating enough resources to maintaining the system. Without proper maintenance, the system will quickly become unusable. Over time, data will become stale, and new data sources must be added.

Finally, many organizations make the mistake of thinking that once they have a business intelligence system, they no longer need to worry about analytics. However, analytics is an ongoing process, and the insights gained from a business intelligence system should be used to inform and improve analytical processes.

Examples of Popular Business Intelligence Systems

There are many popular business intelligence systems available on the market today. Some of the most popular include IBM Cognos, Microsoft Power BI, Oracle Business Intelligence Enterprise Edition (OBIEE), SAP Business Objects, and Tableau. Each system has its own unique features and capabilities that make it well-suited for different types of businesses and organizations.

IBM Cognos is a powerful business intelligence system that offers various features and capabilities. Many large businesses and organizations use it due to its scalability and flexibility.

Microsoft Power BI is a relatively new business intelligence system growing in popularity due to its ease of use and robust feature set. It is particularly well suited for small to medium-sized businesses that do not have the resources or expertise to implement a more complex system.

OBIEE (Oracle Business Intelligence Enterprise Edition) is an all-inclusive business intelligence system that offers various features and functions. Large businesses and organizations often use it due to its complexity and scale.

SAP Business Objects is another popular business intelligence system that offers a wide range of features and capabilities. It is also often used by large businesses due to its complexity but can be scaled down for use by smaller businesses.

Tableau is a data visualization tool to be used for business intelligence purposes. It helps users see and understand data in new ways, which can lead to better decision-making. It is appropriate for businesses of all sizes but is particularly.


Business intelligence is essential for driving success in the modern business world. With it, companies can analyze and act on data more efficiently than ever before. We’ve covered some of the top trends and practices that are emerging within the field, helping businesses make smarter decisions faster and better understand their customers. With continual advances in technology, there’s no doubt that BI will continue to be a powerful tool for any business looking to improve its operations and achieve greater success.

The Advanced Executive Certificate in Business Management in the Digital Era offers an up-to-date look at key topics such as data storage, analytics, machine learning, automation, and cloud computing. During the course, students will acquire technical skills that can be applied immediately to their own businesses—all while developing sound strategies for managing these technologies moving forward. 

With expert instruction from experienced leaders in the field of Business Intelligence and related domains, this certificate equips learners with an understanding not only of current trends but also emerging ones about which most are unaware. The Business Intelligence Course is designed to provide an invaluable knowledge base for those who wish to stay ahead and make informed decisions within their organizations or even launch new ventures based on sound data analysis insights. 

 If you’re wondering what does it actually take to become a BI Developer? Well, you can check out the Power BI Course Syllabus curated by Industry Experts before going ahead with the blog.

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What is Business Intelligence? Trends and Practices