Explore Courses
course iconScrum AllianceCertified ScrumMaster (CSM) Certification
  • 16 Hours
Best seller
course iconScrum AllianceCertified Scrum Product Owner (CSPO) Certification
  • 16 Hours
Best seller
course iconScaled AgileLeading SAFe 6.0 Certification
  • 16 Hours
Trending
course iconScrum.orgProfessional Scrum Master (PSM) Certification
  • 16 Hours
course iconScaled AgileSAFe 6.0 Scrum Master (SSM) Certification
  • 16 Hours
course iconScaled Agile, Inc.Implementing SAFe 6.0 (SPC) Certification
  • 32 Hours
Recommended
course iconScaled Agile, Inc.SAFe 6.0 Release Train Engineer (RTE) Certification
  • 24 Hours
course iconScaled Agile, Inc.SAFe® 6.0 Product Owner/Product Manager (POPM)
  • 16 Hours
Trending
course iconKanban UniversityKMP I: Kanban System Design Course
  • 16 Hours
course iconIC AgileICP Agile Certified Coaching (ICP-ACC)
  • 24 Hours
course iconScrum.orgProfessional Scrum Product Owner I (PSPO I) Training
  • 16 Hours
course iconAgile Management Master's Program
  • 32 Hours
Trending
course iconAgile Excellence Master's Program
  • 32 Hours
Agile and ScrumScrum MasterProduct OwnerSAFe AgilistAgile CoachFull Stack Developer BootcampData Science BootcampCloud Masters BootcampReactNode JsKubernetesCertified Ethical HackingAWS Solutions Artchitct AssociateAzure Data Engineercourse iconPMIProject Management Professional (PMP) Certification
  • 36 Hours
Best seller
course iconAxelosPRINCE2 Foundation & Practitioner Certificationn
  • 32 Hours
course iconAxelosPRINCE2 Foundation Certification
  • 16 Hours
course iconAxelosPRINCE2 Practitioner Certification
  • 16 Hours
Change ManagementProject Management TechniquesCertified Associate in Project Management (CAPM) CertificationOracle Primavera P6 CertificationMicrosoft Projectcourse iconJob OrientedProject Management Master's Program
  • 45 Hours
Trending
course iconProject Management Master's Program
  • 45 Hours
Trending
PRINCE2 Practitioner CoursePRINCE2 Foundation CoursePMP® Exam PrepProject ManagerProgram Management ProfessionalPortfolio Management Professionalcourse iconAWSAWS Certified Solutions Architect - Associate
  • 32 Hours
Best seller
course iconAWSAWS Cloud Practitioner Certification
  • 32 Hours
course iconAWSAWS DevOps Certification
  • 24 Hours
course iconMicrosoftAzure Fundamentals Certification
  • 16 Hours
course iconMicrosoftAzure Administrator Certification
  • 24 Hours
Best seller
course iconMicrosoftAzure Data Engineer Certification
  • 45 Hours
Recommended
course iconMicrosoftAzure Solution Architect Certification
  • 32 Hours
course iconMicrosoftAzure Devops Certification
  • 40 Hours
course iconAWSSystems Operations on AWS Certification Training
  • 24 Hours
course iconAWSArchitecting on AWS
  • 32 Hours
course iconAWSDeveloping on AWS
  • 24 Hours
course iconJob OrientedAWS Cloud Architect Masters Program
  • 48 Hours
New
course iconCareer KickstarterCloud Engineer Bootcamp
  • 100 Hours
Trending
Cloud EngineerCloud ArchitectAWS Certified Developer Associate - Complete GuideAWS Certified DevOps EngineerAWS Certified Solutions Architect AssociateMicrosoft Certified Azure Data Engineer AssociateMicrosoft Azure Administrator (AZ-104) CourseAWS Certified SysOps Administrator AssociateMicrosoft Certified Azure Developer AssociateAWS Certified Cloud Practitionercourse iconAxelosITIL 4 Foundation Certification
  • 16 Hours
Best seller
course iconAxelosITIL Practitioner Certification
  • 16 Hours
course iconPeopleCertISO 14001 Foundation Certification
  • 16 Hours
course iconPeopleCertISO 20000 Certification
  • 16 Hours
course iconPeopleCertISO 27000 Foundation Certification
  • 24 Hours
course iconAxelosITIL 4 Specialist: Create, Deliver and Support Training
  • 24 Hours
course iconAxelosITIL 4 Specialist: Drive Stakeholder Value Training
  • 24 Hours
course iconAxelosITIL 4 Strategist Direct, Plan and Improve Training
  • 16 Hours
ITIL 4 Specialist: Create, Deliver and Support ExamITIL 4 Specialist: Drive Stakeholder Value (DSV) CourseITIL 4 Strategist: Direct, Plan, and ImproveITIL 4 Foundationcourse iconJob OrientedData Science Bootcamp
  • 6 Months
Trending
course iconJob OrientedData Engineer Bootcamp
  • 289 Hours
course iconJob OrientedData Analyst Bootcamp
  • 6 Months
course iconJob OrientedAI Engineer Bootcamp
  • 288 Hours
New
Data Science with PythonMachine Learning with PythonData Science with RMachine Learning with RPython for Data ScienceDeep Learning Certification TrainingNatural Language Processing (NLP)TensorflowSQL For Data Analyticscourse iconIIIT BangaloreExecutive PG Program in Data Science from IIIT-Bangalore
  • 12 Months
course iconMaryland UniversityExecutive PG Program in DS & ML
  • 12 Months
course iconMaryland UniversityCertificate Program in DS and BA
  • 31 Weeks
course iconIIIT BangaloreAdvanced Certificate Program in Data Science
  • 8+ Months
course iconLiverpool John Moores UniversityMaster of Science in ML and AI
  • 750+ Hours
course iconIIIT BangaloreExecutive PGP in ML and AI
  • 600+ Hours
Data ScientistData AnalystData EngineerAI EngineerData Analysis Using ExcelDeep Learning with Keras and TensorFlowDeployment of Machine Learning ModelsFundamentals of Reinforcement LearningIntroduction to Cutting-Edge AI with TransformersMachine Learning with PythonMaster Python: Advance Data Analysis with PythonMaths and Stats FoundationNatural Language Processing (NLP) with PythonPython for Data ScienceSQL for Data Analytics CoursesAI Advanced: Computer Vision for AI ProfessionalsMaster Applied Machine LearningMaster Time Series Forecasting Using Pythoncourse iconDevOps InstituteDevOps Foundation Certification
  • 16 Hours
Best seller
course iconCNCFCertified Kubernetes Administrator
  • 32 Hours
New
course iconDevops InstituteDevops Leader
  • 16 Hours
KubernetesDocker with KubernetesDockerJenkinsOpenstackAnsibleChefPuppetDevOps EngineerDevOps ExpertCI/CD with Jenkins XDevOps Using JenkinsCI-CD and DevOpsDocker & KubernetesDevOps Fundamentals Crash CourseMicrosoft Certified DevOps Engineer ExperteAnsible for Beginners: The Complete Crash CourseContainer Orchestration Using KubernetesContainerization Using DockerMaster Infrastructure Provisioning with Terraformcourse iconTableau Certification
  • 24 Hours
Recommended
course iconData Visualisation with Tableau Certification
  • 24 Hours
course iconMicrosoftMicrosoft Power BI Certification
  • 24 Hours
Best seller
course iconTIBCO Spotfire Training
  • 36 Hours
course iconData Visualization with QlikView Certification
  • 30 Hours
course iconSisense BI Certification
  • 16 Hours
Data Visualization Using Tableau TrainingData Analysis Using Excelcourse iconEC-CouncilCertified Ethical Hacker (CEH v12) Certification
  • 40 Hours
course iconISACACertified Information Systems Auditor (CISA) Certification
  • 22 Hours
course iconISACACertified Information Security Manager (CISM) Certification
  • 40 Hours
course icon(ISC)²Certified Information Systems Security Professional (CISSP)
  • 40 Hours
course icon(ISC)²Certified Cloud Security Professional (CCSP) Certification
  • 40 Hours
course iconCertified Information Privacy Professional - Europe (CIPP-E) Certification
  • 16 Hours
course iconISACACOBIT5 Foundation
  • 16 Hours
course iconPayment Card Industry Security Standards (PCI-DSS) Certification
  • 16 Hours
course iconIntroduction to Forensic
  • 40 Hours
course iconPurdue UniversityCybersecurity Certificate Program
  • 8 Months
CISSPcourse iconCareer KickstarterFull-Stack Developer Bootcamp
  • 6 Months
Best seller
course iconJob OrientedUI/UX Design Bootcamp
  • 3 Months
Best seller
course iconEnterprise RecommendedJava Full Stack Developer Bootcamp
  • 6 Months
course iconCareer KickstarterFront-End Development Bootcamp
  • 490+ Hours
course iconCareer AcceleratorBackend Development Bootcamp (Node JS)
  • 4 Months
ReactNode JSAngularJavascriptPHP and MySQLcourse iconPurdue UniversityCloud Back-End Development Certificate Program
  • 8 Months
course iconPurdue UniversityFull Stack Development Certificate Program
  • 9 Months
course iconIIIT BangaloreExecutive Post Graduate Program in Software Development - Specialisation in FSD
  • 13 Months
Angular TrainingBasics of Spring Core and MVCFront-End Development BootcampReact JS TrainingSpring Boot and Spring CloudMongoDB Developer Coursecourse iconBlockchain Professional Certification
  • 40 Hours
course iconBlockchain Solutions Architect Certification
  • 32 Hours
course iconBlockchain Security Engineer Certification
  • 32 Hours
course iconBlockchain Quality Engineer Certification
  • 24 Hours
course iconBlockchain 101 Certification
  • 5+ Hours
NFT Essentials 101: A Beginner's GuideIntroduction to DeFiPython CertificationAdvanced Python CourseR Programming LanguageAdvanced R CourseJavaJava Deep DiveScalaAdvanced ScalaC# TrainingMicrosoft .Net Frameworkcourse iconSalary Hike GuaranteedSoftware Engineer Interview Prep
  • 3 Months
Data Structures and Algorithms with JavaScriptData Structures and Algorithms with Java: The Practical GuideLinux Essentials for Developers: The Complete MasterclassMaster Git and GitHubMaster Java Programming LanguageProgramming Essentials for BeginnersComplete Python Programming CourseSoftware Engineering Fundamentals and Lifecycle (SEFLC) CourseTest-Driven Development for Java ProgrammersTypeScript: Beginner to Advanced

What is Business Intelligence(BI)?

Updated on 21 November, 2022

8.71K+ views
18 min read

The market has become more competitive than ever due to the introduction of technology and changing trends. As a result, there are multiple options for businesses in a similar domain, each claiming to offer the best possible facilities. So, to stay put in the competition, business owners should make the best efforts to stand out and keep their customers glued.  

One way to do so is by analyzing the data generated by various business activities like consumer purchase patterns. Every organization has tons of data units stored. For example, all these data sets have information about the consumers' age, gender, and preferences associated with the business. Similarly, the stored data have details about the services or products that are top selling and those not attracting customers. Mining all these data units can fetch fruitful information for business growth. Moreover, you can make significant business decisions by exploring the data you already have.  

The process of gathering, storing, mining, and analyzing data comes under business intelligence. Under BI, all the data a company generates gets stored and used to make significant business growth decisions and multiply the revenue. Organizations hire the best business intelligence analysts from the market who specializes in data analytics and can help find relevant business information. Let us dig deeper to understand what business intelligence is and what BI tools a professional working in this domain must learn.  

What is Business Intelligence?

Business Intelligence is a broader term that combines various data-related operations under one domain. It includes data retrieval, analysis, and visualization procedures with which organizations can better understand their business and make growth plans. Only expert professionals with a thorough understanding of business intelligence tools can do this job by creating meaningful reports from the raw data sets. They use business intelligence software for these tasks, and the reports are highly reliable. Key takeaways of BI are: 

  • It parses raw data and turns it into meaningful chunks of information, using which the managers can make better growth decisions.  
  • It is the infrastructural framework of organizational data related to collection, storing, and analysis operations. 
  • For companies dealing in the product business, BI is the backbone of growth as it helps study consumer behaviors and purchase patterns to plan marketing approaches. 
  • Multiple tools in this field help in efficient data analysis and provide reports in the form of spreadsheets and more for a quick and better understanding of the user. You will know what power BI and other software tools in this domain are later in this article.  

These details about business intelligence give a better overview of the tasks coming under it and how it can benefit organizations. So let us dig deeper and understand how important it is.  

1. Why is BI important?

How would an organization know if their business tactics are proving right, and their strategies yield the right results? First, they would check the data to see if the consumption rate has increased, their sales have improved, and their brand visibility has multiplied. For this, they will explore and dig deeper into the previous and current data sets and extract useful information like purchase patterns and revenue and sales graphs; that is something they can only do with the help of an efficient business intelligence system.  

Without the help of business intelligence analytics, this data mining and visualization process is impossible, and the company will not have any solid grounds to make significant decisions. Thus, business intelligence is crucial for every business so its management can make the right decisions to survive and set a benchmark in the market.  

You can also learn the significance of the fact that professionals in this domain complete Business Intelligence and Visualization courses to brush up their skills and grab high-paying jobs in this category. Once you have relevant experience and the certification to prove your worth, your future gets secured, as there is no lack of job options in this market. 

What is Business Intelligence?

You already know that business intelligence is a crucial aspect of business growth. The question that might arise is how it works. What processes or procedures are involved, and what steps a BI analyst goes through to get expected results. 

The entire work of BI depends on the data warehouse in an organization. These warehouses have all sorts of company data generated through every action performed by or towards the organization. For example, you can find data about potential consumers, buying patterns, product demand, sales, and more. The only thing is that these data units are available in raw form in the warehouse. That is where business intelligence management comes to play. It helps sort these data sets into meaningful information, puts relevant details under one unit, and performs operations to dig out the desired information. 

What data units the experts must segregate depends on the business query or the information they seek. Moreover, even if the business query is multi-dimensional, for example, the sales graph this year versus last year, BI can help. It uses an OLAP (online analytical processing) engine to solve such queries and provides the results immediately. In addition, multiple other tools are available in the market with equipped features to help perform operations on your BI architecture to fetch relevant information related to your business.  

Business Intelligence Systems Implementation

It is evident that business intelligence contributes a lot towards business growth. So, every organization would want to implement a system to retrieve information from the raw data they generate. Therefore, they introduce various tools and software into their existing operations, which help in efficient BI reporting. The steps listed below explain the effective implementation of the BI systems. 

  1. Create an effective business intelligence strategy that works as a blueprint for what information you want to extract. The idea is to set your objectives and expectations from the business intelligence setup. For example, you may only want to expose the shortcomings or know your highlights too. Whatever you want or need, write it down in your strategy to ensure the implementation of only the helpful tools. 
  2. Set the performance indicators to ensure you get the information you need. The KPIs or the key performance indicators are measurable parameters that clear your business achievements. It can be the marketing metrics, BI finance metrics, or likewise.  
  3. Educate your staff about the BI implementation process and the tools you plan to introduce into the system. Of course, you should always hire professionals skilled in the domain to handle the tasks, but it is fruitful to train the rest of the team members to make their adaptability convenient.  
  4. Look for the best tools and software for business analytics available in the market and choose the most reliable ones. You can take a virtual tour of the software before you start using it and introduce it into your existing system only when, you are sure.  

With these simple strategies, you can continue with efficient implementation. However, do ensure that everything happens under the guidance of a skilled business intelligence specialist.  

Types of BI Users

In any organization, a team of employees makes the best use of business intelligence. These users are: 

1. Data Analyst

These professionals deal with data regularly, performing operations like collecting, organizing, analyzing, and sorting the data.  

2. IT Experts

IT department has a significant role in managing business intelligence operations, making their implementation in the company convenient. Moreover, they also take care of the security factor of a BI platform. 

3. Business User

Every company can have BI users across every department. One category is informal users who need to learn how to perform operations on data but need to access the sorted reports. Another category is users who perform the actual data operations. 

4. Executive

These are the people in top management positions who need business intelligence reports to make significant revenue-related decisions.  

People in these four positions use business intelligence more often. So, when it is about selecting the tools or implementing a new BI strategy, ensure that you consider these people. If they get the best setup, your business success is assured. 

Examples of Business Intelligence Systems Used in Practice

Business Intelligence gets used in almost every business domain that requires information from the raw data sets gathered by the company. Some of the real-life examples of business intelligence are listed below. 

1. Walmart BI Strategy

Walmart is a retail store that uses data analysis to study consumer behaviors. Based on this information, they decide on their online and offline strategies to attract more customers and multiply their sales. For example, if they find that the products on the shelves near the payment counter are the highest selling, they might use it to promote brands and make more profits.  

2. Tesla

Tesla linked its cars to corporate offices with the help of advanced technologies. The idea was to gather data about consumer concerns and analyze it to find flaws or shortcomings. Then, they use this information to solve customer issues and earn a satisfied consumer and an excellent market reputation for the company. 

3. Expedia

This travel company provides flight options to people traveling to international or domestic locations. They use data analytic tools to understand the most travelled destinations, the peak season of travel, and other details to provide the best flight options and discounts to keep their customers engaged.  

These are only a few examples; multiple other companies like coca cola, American Express, and more use various business intelligence tools and techniques to help their business grow.  

Advantages of Business Intelligence

Business Intelligence is a trending domain, offering plenty of benefits to an organization. With the right set of tools, strategies, and highly skilled professionals, revenue growth will be exponential. Some of the benefits of BI are listed below. 

1. Improved Productivity 

With business intelligence, companies can solve queries or fetch relevant information from raw data with a single click. Thus, it helps save a lot of time and effort, giving users a lot of time to invest in other significant tasks. 

2. Better Visibility 

You will be able to clearly see the shortcomings of your business or the reason why your competitors are doing better than you. Moreover, you will have better visibility of the spots that need work. 

3. Widens Perceptions 

Any user using the BI tools will have a broader perception of the data units as they can access the elaborate dashboards. It gives a better perspective and helps in efficient decision-making. 

4. Makes Analytics Convenient 

Another advantage of business intelligence is that it makes analysis super convenient. With the right tools, you will get advanced features to segregate data into any category you want.

The list of advantages an organization can get from BI operations is endless. The only factor influencing it is the choice of tools or having efficient data analysis professionals to work on it.

BI System Disadvantages

Like the two sides to a coin, there are a few things that could be improved with business intelligence. The business intelligence framework will take your data on digital platforms, causing significant issues. Some of the disadvantages are: 

  1. The digital data warehouse to perform cloud business intelligence operations is prone to data breach risks. Intruders may peek in and steal all your confidential data, leaking information unique to your organization. The solution to this is to enhance the system's security! 
  2. The latest BI technologies or tools are a bit expensive due to the advanced features they provide. However, you can still find pocket-friendly options, or if you look at the productive side of things, the features you get make it worthwhile.  
  3. Another disadvantage is that you need help finding skilled professionals for BI tasks. An incompetent professional will only use the tools or setup to the fullest and give information that can help make significant decisions. The way to solve this issue is simply by hiring professionals who have taken certification courses, like KnowledgeHut Business Intelligence and Virtualization courses.

Types of BI Tools and Software

There are five fundamental categories of BI tools used by professionals working on the benefits of BI. They get divided based on the functionalities and the results they provide. The categories are mentioned below for your reference.  

1. Cloud- SaaS-Based Business Intelligence Solutions

In this category, a third party provides BI solutions to an organization by accessing its cloud data warehouse. 

2. ETL Software

This category includes extracting, transforming, and loading operations that blend data from various locations and use it to fetch required information. 

3. Open Source BI Tools

These are self-managed tools restricted to built-in features compared to other licensed solutions for BI operations. 

4. BPM or UML Tools

These are the tools specific to the entire project or the task coming under it.  

5. Embedded Analytics BI Software

This category has tools that make data analysis super convenient for all types of users. 

Based on these categories, you will find multiple tool options with features that prove helpful in business analysis. You can choose the one best suiting your requirements and enjoy all its perks.

Stand out in the business analysis field with our prestigious ecba certification online. Elevate your career and become a certified expert. Enroll now!

Business Intelligence Best Practices

As business intelligence tools and software become a mainstay for every organization, it is fruitful to learn the best practices. Understand that using the technologies efficiently is the best way to get excellent results. Hence, you can use the best practices listed below for your reference. 

  1. Identify your business requirements well to choose the right tools and follow better business intelligence methodology for business growth. 
  2. Put in the effort to identify your target audiences because the entire data analysis process aims to satisfy the consumers.  
  3. Identify all the data sources from which you can retrieve information that can aid in studying the trends relevant to your business.  
  4. Keep auditing your strategies to ensure they yield the best results and make necessary changes if you are not achieving your targets.  

With these practices under consideration, you can rest assured that your business will see tremendous growth.

Trends in Business Intelligence

To stay put in the competition, every organization needs to learn the use of business intelligence. They need to know about the latest trends and newly introduced tools to ensure that they make the right decisions to support business growth. Some of the trends that you can see in the market are: 

  1. Data literacy is the newer concept under which companies plan to train their employees to implement data analytics throughout the organization. However, the foundation is so strong that the best results are assured. 
  2. Another trend that organizations are following in 2022 is data visualization. They implement tools that provide deeper insights into the data units for a better perspective. 
  3. NLP, natural language processing, is another trend that has made a breakthrough entry in the BI framework. It allows users to ask voice queries eliminating the need to type. 

There are plenty of other remarkable trends in the business intelligence industry, improving how the industry works.  

Conclusion

By now, you must have learned how significant business intelligence is in the current market. It is an engine for growth in organizations. That is why the demand for BI tools and data analysts has increased. Any professional who wishes to build a career in this domain should opt for professional certification courses. It will help enhance their skills and enable them to grab the best job packages. If they can prove their worth, their future gets secured, and their career graph keeps growing.

Frequently Asked Questions (FAQs)

1. What does BI mean?

BI refers to business intelligence. It is a set of tools and strategies that one can use for creating, storing, mining, or analyzing the raw data sets.

2. What is BI known for?

BI is known to mine information from raw data sets. The data provide help in learning significant patterns that help in business growth.

3. What are examples of BI?

The real-life examples of BI include a retail outlet trying to learn consumer behavior to identify its highest-selling products.

4. What are the different types of BI?

Different types of BI include Cloud-SaaS-based tools, ETL tools, and open-source BI software.