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Business Intelligence trainings

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Business Intelligence Training

  • Training type: E-learning (online)
  • Language: English
  • Online access: 24/7, 365 days after activation
  • Interactive multimedia lessons with video, audio and subtitles
  • Videos of up to 3-10 minutes, watchable at your own pace
  • Practical exercises with real-time analysis of actions and results
  • Flexible management with progress reporting
  • View lessons by specific topic
  • Your answers are immediately evaluated
  • The software tells you exactly where your possible mistakes lie
  • Possibility to repeat an assignment (unlimited)
  • View solution videos
  • Business Intelligence Certifications
  • Tips & Tricks
  • Exam Quiz
  • MeasureUp Exam Simulation (150+ questions)
  • LiveLabs (if available)
  • Award Winning E-learning
  • Full training for the official Exam
  • User-friendly environment
  • Includes Online Tutor (via email and chat)
  • Certificate of Participation included

What is Business Intelligence?

Business Intelligence (BI) is a technology-driven process for collecting, integrating, analyzing and presenting business information. It refers to the methods and tools organizations use to transform raw data into meaningful and actionable insights that can be used for decision-making.

BI involves the use of various data sources, such as databases, spreadsheets and other applications, to extract and analyze data. The data is then transformed into visual representations, such as dashboards, reports and charts, to provide valuable insights into business performance.

BI helps organizations make better decisions, identify new business opportunities and optimize their operations by providing real-time insight into their data. It provides a holistic view of the business, allowing organizations to analyze data from different departments and systems and identify patterns and trends.

BI is used in many different industries, such as finance, healthcare, retail and manufacturing. The insights provided by BI can be used to improve financial performance, increase productivity, optimize processes and improve the customer experience.

Business Intelligence is an essential tool for organizations looking to gain a competitive advantage and stay ahead in today's fast-paced business environment. By harnessing the power of data, companies can make informed decisions that help them achieve their strategic goals and drive growth.

Why Business Intelligence?

Business Intelligence (BI) has become increasingly important in the modern business landscape due to the exponential growth in data generation and the need for data-driven decision-making. Companies generate huge amounts of data from various sources, such as social media, transactional systems, customer feedback and other external sources. To extract useful insights from this data, companies need advanced analytics tools that can help them organize, analyze and interpret their data, leading to better decision-making and improved business performance.

BI also helps companies gain a competitive advantage by providing insight into market trends, customer behavior and internal operations, which can lead to better strategic planning, forecasting and performance management. By using data analysis and visualization tools, companies can analyze data in real-time, identify patterns and anomalies, and make informed decisions that drive innovation and growth.

In addition, Business Intelligence helps companies identify new revenue streams and opportunities, optimize operations, reduce costs and increase profits. With BI, companies can monitor key performance indicators (KPIs) and track progress toward strategic goals, making it easier to identify areas in need of improvement and take corrective action. Ultimately, Business Intelligence provides companies with the insights they need to make informed decisions, adapt to changes in the marketplace and stay ahead of the competition.

How does Business Intelligence work?

Business Intelligence (BI) is a technology-driven process for analyzing data and presenting actionable insights to help organizations make informed business decisions. BI involves collecting, storing, integrating and analyzing data from a variety of sources, including internal and external sources such as databases, spreadsheets and the Internet.

BI works by using various tools and techniques, such as data mining, data warehousing, dashboards and visual analysis. Data mining is the process of discovering patterns and relationships in large data sets, while data warehousing involves collecting, integrating and managing data from various sources to create a centralized database. Dashboards and visual analytics provide an intuitive way to present data and insights to decision makers in an understandable way.

By using BI, organizations can gain valuable insights into their operations, customers and competitors. They can use these insights to make more informed decisions, optimize business processes, identify new opportunities and gain a competitive advantage in the marketplace. BI also enables organizations to track key performance indicators (KPIs), monitor progress against targets, and identify trends and patterns that can drive business growth.

10 Benefits of Business Intelligence

  1. Data-driven decision-making: Business Intelligence provides accurate and timely insights that can help businesses make data-driven decisions.
  2. Improved efficiency: Business Intelligence tools automate the process of collecting and analyzing data, saving time and reducing errors.
  3. Improved visibility: Business Intelligence provides a complete view of business activities, allowing decision-makers to identify trends, outliers and patterns they would otherwise have missed.
  4. Improved strategic planning: Business Intelligence allows companies to identify opportunities and gaps in the market, which can help formulate better strategic plans.
  5. Improved customer satisfaction: Business Intelligence can help companies understand their customers' needs and preferences, which can be used to improve customer satisfaction.
  6. Improved operational efficiency: Business Intelligence can help companies streamline their processes and identify inefficiencies, which can be used to optimize operations and improve productivity.
  7. Competitive advantage: By using Business Intelligence, companies can gain a competitive advantage by identifying market trends, customer preferences and other key factors that drive business success.
  8. Reduced risk: Business Intelligence can help companies identify potential risks and vulnerabilities so they can take proactive measures to mitigate those risks.
  9. Better financial management: Business Intelligence provides insight into financial data, allowing companies to identify areas for cost savings and revenue optimization.
  10. Better collaboration: Business Intelligence provides a common data repository and shared understanding of business activities, which can improve collaboration across departments and teams.

Here's how Business Intelligence can help your business

Business Intelligence (BI) helps businesses by providing actionable insights and improving decision-making. By analyzing large amounts of data from various sources, BI allows companies to identify patterns, trends and opportunities that would be difficult or impossible to detect using traditional methods. Here are some specific ways BI can help a business:

  • Better decision-making: With access to reliable data and analytical tools, businesses can make more informed decisions based on real-time insights.
  • Greater efficiency: BI tools can automate time-consuming data analysis tasks, allowing employees to focus on more strategic work.
  • Lower costs: By identifying inefficiencies and areas for improvement, companies can reduce costs and improve overall performance.
  • Better customer insight: BI can help companies better understand their customers, including their preferences, behaviors and needs.
  • Competitive advantage: BI can give companies a competitive advantage by identifying market trends and predicting future demand.
  • Better communication: BI tools can help teams collaborate more effectively by providing a shared platform for data analysis and reporting.
  • Better risk management: BI can help companies identify potential risks and take steps to mitigate them before they become a problem.
  • Real-time monitoring: BI can provide companies with up-to-date information on key metrics and KPIs, enabling proactive decision-making.
  • Improved data quality: By centralizing data from different sources, BI can help companies improve data quality and reduce errors.
  • Scalability: BI tools can be customized to meet the needs of businesses of any size, from small startups to large enterprises.

Business Intelligence training

Courses for Business Intelligence are suitable for any IT professional, whether private or business. According to your already acquired training and knowledge, you choose which Business Intelligence training course you start with, or continue with. Do you need advice? Then we are at your service via phone, chat and email.

For each online training course purchased, you have 1 year of access. 24 hours a day, 7 days a week for up to 365 days. So you decide when and how long you learn for the training. Is the daytime not convenient? The evening and night are available to you. Even if you go on vacation for a few weeks, this is no problem and you simply pick it up again after your well-deserved vacation.

Business Intelligence certifications

There are several Business Intelligence (BI) certifications available for professionals looking to expand their knowledge and skills in this field. Here are some of the most popular:

  • Power BI: This is a business analytics service from Microsoft. The Power BI certification is designed to validate the skills and knowledge needed to work with Power BI. There are two levels of certification - Microsoft Certified: Power BI Associate and Microsoft Certified: Power BI Expert.
  • IBM Certified Designer: IBM Cognos Analytics Author V11: IBM Cognos Analytics is a business intelligence software platform that allows users to view, analyze and share insights from data. The certification validates the skills and knowledge required to work with IBM Cognos Analytics Author V11.
  • Microsoft Certified: Azure Data Engineer Associate: This certification is for data engineers who design and implement data management, monitoring, security and privacy using Microsoft Azure services and technologies. The certification is aimed at individuals with experience in data engineering and requires the Microsoft Certified: Azure Administrator Associate certification as a prerequisite.
  • Oracle Business Intelligence Foundation Suite 11g Certified Implementation Specialist: This certification validates the skills and knowledge required to install and configure Oracle Business Intelligence Foundation Suite 11g. It is intended for individuals with experience in Oracle Business Intelligence and data warehousing.
  • SAP Certified Application Associate - Business Intelligence with SAP BW 7.4 & SAP BI 4.1: This certification is for professionals working with SAP Business Intelligence tools. It validates the skills and knowledge required to design, implement and maintain a SAP Business Intelligence solution.
  • Tableau Desktop Specialist: Tableau is a data visualization software that allows users to connect, visualize and share data. The certification validates the skills and knowledge required to use Tableau Desktop to perform data analysis and create visualizations.
  • QlikView Business Analyst certification: QlikView is a data analysis and visualization software that allows users to explore and analyze data. The certification validates the skills and knowledge needed to work with QlikView and create reports and visualizations.
  • SAS Certified BI Content Developer for SAS 9: SAS is a software package for advanced analytics, business intelligence, data management and predictive analytics. The certification validates the skills and knowledge required to develop and implement reports and dashboards using SAS Business Intelligence software.

Each of these ICT certifications provides a unique set of skills and knowledge to help people advance their careers in the business intelligence field.

Jobs and careers related Business Intelligence certifications

Business Intelligence (BI) certifications can lead to a variety of jobs and career opportunities in data analysis, data science and business management. Here are some examples of job titles and roles that require or benefit from BI certifications:

  • Business Intelligence Analyst: BI analysts are responsible for analyzing business data, designing and developing BI solutions and presenting insights and recommendations to decision makers.
  • Data Analyst: Data analysts are responsible for collecting, organizing and analyzing large data sets to identify trends and patterns and provide insights to support business decisions.
  • Data Scientist: Data scientists use advanced statistical and computational methods to extract insights and knowledge from data, and develop predictive models to support decision-making.
  • Business Intelligence Developer: BI developers design and develop BI solutions such as dashboards, reports and data visualizations to provide insights to decision makers.
  • Business Analytics Manager: Business analytics managers oversee the development and implementation of BI solutions and use analytics to identify business opportunities, improve processes and optimize performance.
  • BI Consultant: BI consultants work with clients to analyze their data, design and develop BI solutions, and provide insights to support business decisions.
  • Database Administrator: Database administrators are responsible for the design, implementation and maintenance of databases, ensuring that data is stored securely, efficiently and accessed as needed.
  • IT Manager: IT managers oversee the development and implementation of technology solutions in the organization, including BI solutions, and ensure that systems and applications are reliable, secure and effective.
  • Project Manager: Project managers oversee the development and implementation of BI solutions and ensure that projects are delivered on time, on budget and meet stakeholder requirements.
  • Technical Lead: Technical leaders are responsible for the design and development of technical solutions, including BI solutions, ensuring that systems are scalable, reliable and meet stakeholder needs.

A BI certification can demonstrate expertise in BI tools and concepts, and can be a valuable asset when pursuing careers in data analysis, data science and business management.

History of Business Intelligence

Business Intelligence (BI) has come a long way since its origins in the 1950s. With the rapid evolution of technology, BI has been able to evolve from a simple data reporting system to a sophisticated tool that companies use to improve their decision-making processes.

In the early years, the focus of BI was on data processing and storage. The use of early mainframe computers in the 1960s allowed companies to automate data processing and made it easier to store large amounts of data. This laid the groundwork for the development of software that could extract, process and display data in a more user-friendly format.

The advent of the data warehouse in the 1980s brought a fundamental shift in the way data was managed. Data warehouses allowed companies to centralize their data, making it easier to access and analyze. This helped improve the accuracy and speed of decision-making and gave companies a competitive advantage.

In the 1990s, BI evolved into a more sophisticated tool as companies began to explore new ways to use data to improve their operations. New software solutions, such as OLAP (Online Analytical Processing) and data mining, were developed that allowed companies to extract insights from their data and use it to make informed decisions.

The rise of the Internet and Web-based applications in the early 2000s brought about another revolution in BI. It allowed companies to collect and analyze data in real time, giving them a more accurate and up-to-date picture of their operations. With the proliferation of mobile devices over the past decade, companies can access BI tools anywhere, anytime.

Today, BI has become an integral part of modern businesses. It is used in every industry to help businesses make data-driven decisions that drive growth and profitability. With the rise of artificial intelligence and machine learning, the future of BI looks even more exciting as companies explore new ways to use data to gain a competitive advantage.

In short, the history of BI is a story of constant innovation and evolution. From simple data processing systems to sophisticated tools that use artificial intelligence and machine learning: BI has come a long way. As companies continue to generate massive amounts of data, the importance of BI will only grow, making it an essential tool for modern businesses.

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