What is business intelligence, and why is it important?

Business intelligence, or BI, is the application of data analysis techniques to business information, with a goal of extracting insights about company performance. BI tools can produce business analytics that reveal patterns in historical and current data as well as predictive modeling to peer into the future. In today’s incredibly complex business world, these insights are increasingly important for helping companies navigate everyday problem solving challenges and make informed long-term strategic management decisions. As part of the larger field of data science, business intelligence requires data infrastructure. This may be as simple as programming in Microsoft Excel, but more sophisticated approaches to business intelligence may harness a relational database management system (RDBMS) such as MySQL as well as data analysis in Python or R. And, because conveying insights quickly and clearly is key to business intelligence, this approach often uses data visualization programs such as Tableau to create compelling graphs or useful dashboards to display key business metrics in real time.

What kinds of careers can I have with a background in business intelligence?

Business intelligence is a key area of expertise for many management analysts and consultants, since data-driven insights and analytics are increasingly essential for convincing decision-makers to accept recommendations for organizational or operational changes. According to the Bureau of Labor Statistics , jobs in this highly-compensated field are expected to grow much faster than average as more and more companies seek to gain a competitive edge by hiring these experts in business intelligence. Business intelligence analysts use data to help businesses navigate decisions. Once you have the necessary skills, there are several paths you can take to become one. Read our article about how to become a business intelligence analyst to learn more.

Can I learn about business intelligence by taking online courses on Coursera?

Certainly. Coursera has a wealth of opportunities to learn remotely about business as well as data science, and business intelligence lies squarely at the intersection of these two disciplines. You can take individual courses as well as multi-course Specializations in business intelligence and related topics offered by top-ranked institutions such as the University of Colorado, the University of Pennsylvania, and Duke University. And, if you want to dive even deeper into the use of data for business, can even pursue a professional certification in data science from IBM. Regardless of your needs, the ability to view course materials and complete assignments on a flexible schedule makes learning online with Coursera a great fit for mid-career business professionals looking to upgrade their skill set.

What skills or experience do I need to already have, before starting to learn business intelligence?

To learn business intelligence (BI), you might need prior knowledge of data storage and data warehousing as well as earlier work experience as a data analyst or data scientist. You might be able to leverage a business or financial internship into learning about business intelligence if you also have strong computer programming language skills and data architecture knowledge. Management consultancy work is also a solid experience to have before learning business intelligence, as you can gain insights into various types of data, industry classifications, and analytics models with visualization tools. BI also involves the analysis of business geographic information, competition intensity, industry trend, and value chain analysis, so gaining experience in any of these areas through online courses, college classes, or work experience can bring you closer to learning about business intelligence. Business intelligence analysts use data to help businesses navigate decisions. Once you have the necessary skills, there are several paths you can take to become a business intelligence analyst .

What kind of people are best suited for roles in business intelligence?

The kind of people who are best suited for work that involves business intelligence are often college grads who have completed degrees in engineering, data science, business administration, information systems, or related studies to gain insights into organizational operations and modern business processes. Data professionals working in business intelligence are generally sharp with details, with a keen sense of business operations, and they may possess strong leadership abilities as a result of their role of overseeing business operations data. The people leading BI projects are likely to be technology-focused, analytical, and have substantial knowledge of a company’s technological aspects and business conditions.

How do I know if business intelligence is right for me?

Business intelligence may be the right fit for you if you have a well-rounded background in information technology, business, and data knowledge. You might need to have additional hard skills like programming, data modeling, and statistics, combined with excellent communication, analytical thinking, and problem-solving skills. Learning business intelligence takes time. The experience gained in internships, work roles, and online courses can help you understand the nuances of how data, technology, and business operations intersect in an organization. If that interests you and you want to gain a foothold in an emerging area, learning business intelligence may be a smart, advancing step for you to take.

Обзор
Business Intelligence

Фильтр

Результатов для запроса ''business intelligence': 936

IBM Skills Network
IBM Data Engineering
Получаемые навыки: Data Management, Databases, SQL, Data Architecture, Big Data, Data Structures, Database Administration, Statistical Programming, Database Theory, Apache, Extract, Transform, Load, Python Programming, Data Warehousing, Database Application, Data Model, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Computer Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, PostgreSQL, Algebra, Business Analysis, Machine Learning, Computer Programming, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Cloud Computing, DevOps, Leadership and Management, Cloud Engineering, Interactive Data Visualization, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Data Science, Hardware Design, Kubernetes, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Accounting, Algorithms, Computational Logic, Computational Thinking, Computer Networking, Computer Programming Tools, IBM Cloud, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science
4.6
(рецензий: 40.4k)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
IBM Data Warehouse Engineer
Получаемые навыки: Data Management, Databases, SQL, Database Administration, Data Warehousing, Database Theory, Data Engineering, Statistical Programming, Data Architecture, Database Application, Extract, Transform, Load, Data Model, Operating Systems, System Programming, System Software, Data Structures, Database Design, PostgreSQL, Business Analysis, Apache, Big Data, Leadership and Management, Cloud Computing, Cloud Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Computer Architecture, Computer Programming, Data Analysis, Data Science, DevOps, Hardware Design, Network Security, Professional Development, Security Engineering, Accounting, Computer Networking, Distributed Computing Architecture, Linux, Microarchitecture, NoSQL, Programming Principles, Project Management, Python Programming, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science
4.6
(рецензий: 19k)
Beginner · Professional Certificate · 3-6 Months
PwC
Data Analysis and Presentation Skills: the PwC Approach
Получаемые навыки: Business Analysis, Spreadsheet Software, Microsoft Excel, Data Analysis, Business, Data Visualization, Basic Descriptive Statistics, Business Communication, Business Psychology, Communication, Culture, Entrepreneurship, Human Learning, Human Resources, Leadership and Management, People Development, Training, Data Visualization Software, Storytelling, Data Analysis Software, Regression, Databases, Data Science, General Statistics, Probability & Statistics, Big Data, Computer Programming, Data Management, Data Mining, Decision Making, Statistical Analysis
4.6
(рецензий: 10.3k)
Beginner · Specialization · 3-6 Months
Google Cloud
From Data to Insights with Google Cloud
Получаемые навыки: Cloud Computing, Google Cloud Platform, SQL, Databases, Cloud Platforms, Machine Learning, Information Technology, Computer Architecture, Data Management, Web Development, Distributed Computing Architecture, Entrepreneurship, Statistical Programming, Full-Stack Web Development, Cloud Storage, Business Psychology, Data Analysis, Data Analysis Software, Database Administration, Big Data, Computer Science, Data Science, Data Visualization, Cloud Management, Design and Product, Exploratory Data Analysis, Leadership and Management, Machine Learning Software, Market Research, Marketing, Product Management, Product Marketing, Research and Design, Sales, Strategy and Operations
4.6
(рецензий: 4.4k)
Beginner · Specialization · 3-6 Months
Бесплатно
Eindhoven University of Technology
Process Mining: Data science in Action
Получаемые навыки: Business Analysis, Process Analysis, Data Analysis, Data Mining, Machine Learning, Machine Learning Algorithms, Algorithms, Business Process Management, Business Psychology, Communication, Data Management, Data Structures, Entrepreneurship, Leadership and Management, Organizational Development, Strategy and Operations, Theoretical Computer Science
4.7
(рецензий: 1.1k)
Intermediate · Course · 1-3 Months
IBM Skills Network
IBM Data Analyst Capstone Project
Получаемые навыки: Data Analysis, Exploratory Data Analysis, Python Programming, Basic Descriptive Statistics, Plot (Graphics), Statistical Visualization, General Statistics, Probability & Statistics, Probability Distribution, Statistical Analysis, Correlation And Dependence, Data Mining, Data Visualization, Regression, Data Structures, Estimation, ArcGIS, Data Visualization Software, HTML and CSS, Knitr, Machine Learning, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Statistical Programming, Computer Programming, Data Management, Databases, Extract, Transform, Load, Microsoft Excel, SQL
4.6
(рецензий: 731)
Intermediate · Course · 1-3 Months
IBM Skills Network
Getting Started with Data Warehousing and BI Analytics
Получаемые навыки: Data Management, Data Warehousing, Business Analysis, Databases, Cloud Computing, Cloud Engineering, Data Visualization, Data Visualization Software, Database Administration, Database Application, Interactive Data Visualization, Accounting
4.3
(рецензий: 82)
Beginner · Course · 1-4 Weeks

Результаты поиска, связанного с business intelligence

business intelligence and data warehousing

business intelligence and data analytics: generate insights

business intelligence and visual analytics

business intelligence and competitive analysis

business intelligence concepts, tools, and applications

business intelligence con la product suite di tableau

introducción a business intelligence con power bi

power bi para business intelligence

10 самых популярных курсов по запросу business intelligence

Magíster en Analítica para los Negocios: Pontificia Universidad Católica de Chile
Data-Driven Decision Making Certificate: IIM Kozhikode
IBM Data Engineering: IBM Skills Network
IBM Data Warehouse Engineer: IBM Skills Network
Data Analysis and Presentation Skills: the PwC Approach: PwC
Excel Skills for Data Analytics and Visualization: Macquarie University
Data Visualization and Dashboards with Excel and Cognos: IBM Skills Network
From Data to Insights with Google Cloud: Google Cloud
SQL: A Practical Introduction for Querying Databases: IBM Skills Network
Process Mining: Data science in Action: Eindhoven University of Technology

Навыки, которые вы можете получить здесь: Machine Learning

Программирование На Языке Python (33)

TensorFlow (32)

Глубокое Обучение (30)

Искусственная Нейронная Сеть (24)

Большие Данные (18)

Статистическая Классификация (17)

Обучения С Подкреплением (13)

Алгебра (10)

Байесовский (10)

Линейная Алгебра (10)

Линейная Регрессия (9)

NumPy (9)

Часто задаваемые вопросы на тему Бизнес-аналитика

Business intelligence, or BI, is the application of data analysis techniques to business information, with a goal of extracting insights about company performance. BI tools can produce business analytics that reveal patterns in historical and current data as well as predictive modeling to peer into the future. In today’s incredibly complex business world, these insights are increasingly important for helping companies navigate everyday problem solving challenges and make informed long-term strategic management decisions.
As part of the larger field of data science, business intelligence requires data infrastructure. This may be as simple as programming in Microsoft Excel, but more sophisticated approaches to business intelligence may harness a relational database management system (RDBMS) such as MySQL as well as data analysis in Python or R. And, because conveying insights quickly and clearly is key to business intelligence, this approach often uses data visualization programs such as Tableau to create compelling graphs or useful dashboards to display key business metrics in real time.‎
Business intelligence is a key area of expertise for many management analysts and consultants, since data-driven insights and analytics are increasingly essential for convincing decision-makers to accept recommendations for organizational or operational changes. According to the Bureau of Labor Statistics, jobs in this highly-compensated field are expected to grow much faster than average as more and more companies seek to gain a competitive edge by hiring these experts in business intelligence.
Business intelligence analysts use data to help businesses navigate decisions. Once you have the necessary skills, there are several paths you can take to become one. Read our article about how to become a business intelligence analyst to learn more.‎
Certainly. Coursera has a wealth of opportunities to learn remotely about business as well as data science, and business intelligence lies squarely at the intersection of these two disciplines. You can take individual courses as well as multi-course Specializations in business intelligence and related topics offered by top-ranked institutions such as the University of Colorado, the University of Pennsylvania, and Duke University. And, if you want to dive even deeper into the use of data for business, can even pursue a professional certification in data science from IBM.
Regardless of your needs, the ability to view course materials and complete assignments on a flexible schedule makes learning online with Coursera a great fit for mid-career business professionals looking to upgrade their skill set.‎
To learn business intelligence (BI), you might need prior knowledge of data storage and data warehousing as well as earlier work experience as a data analyst or data scientist. You might be able to leverage a business or financial internship into learning about business intelligence if you also have strong computer programming language skills and data architecture knowledge. Management consultancy work is also a solid experience to have before learning business intelligence, as you can gain insights into various types of data, industry classifications, and analytics models with visualization tools. BI also involves the analysis of business geographic information, competition intensity, industry trend, and value chain analysis, so gaining experience in any of these areas through online courses, college classes, or work experience can bring you closer to learning about business intelligence. Business intelligence analysts use data to help businesses navigate decisions. Once you have the necessary skills, there are several paths you can take to become a business intelligence analyst.‎
The kind of people who are best suited for work that involves business intelligence are often college grads who have completed degrees in engineering, data science, business administration, information systems, or related studies to gain insights into organizational operations and modern business processes. Data professionals working in business intelligence are generally sharp with details, with a keen sense of business operations, and they may possess strong leadership abilities as a result of their role of overseeing business operations data. The people leading BI projects are likely to be technology-focused, analytical, and have substantial knowledge of a company’s technological aspects and business conditions.‎
Business intelligence may be the right fit for you if you have a well-rounded background in information technology, business, and data knowledge. You might need to have additional hard skills like programming, data modeling, and statistics, combined with excellent communication, analytical thinking, and problem-solving skills. Learning business intelligence takes time. The experience gained in internships, work roles, and online courses can help you understand the nuances of how data, technology, and business operations intersect in an organization. If that interests you and you want to gain a foothold in an emerging area, learning business intelligence may be a smart, advancing step for you to take.‎

Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.