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Modern Business Intelligence
Rating: 3.7 out of 5(15 ratings)
28 students

Modern Business Intelligence

How to develop business intelligence strategy and used it to enhance competitive advantage
Created byEric Yeboah
Last updated 3/2026
English

What you'll learn

  • Basic business intelligence components and architecture
  • Business intelligence strategy and how to develop and document your business intelligence roadmap
  • Ways business intelligence can help your organization
  • How to create high performance business intelligence team
  • How to measure the impact of your business intelligence investment
  • How to use business intelligence to gain competitive advantage in business
  • positioning in the business intelligence marketplace
  • The value of business intelligence for your business
  • How to build your personal brand
  • How to develop business intelligence for mining organization

Course content

12 sections45 lectures2h 23m total length
  • Introduction2:56
  • Introduction to business intelligence9:42

Requirements

  • No special requirements
  • Desire to learn more about build intelligence

Description

Business intelligence combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations to make more data-driven decisions. In practice, you know you have got modern business intelligence when you have a comprehensive view of your organizations data and use that data to drive change, eliminate inefficiencies, and quickly adapt to market or supply changes.

Business intelligence can help companies make better decisions by showing present historical data within their business context. Analyst can leverage business intelligence to provide performance and competitor benchmarks to make the organization run smoother and more efficient. Analyst can also more easily spot market trends to increase sales or revenue. Used effectively, the right data can help with anything from compliance to hiring efforts.

Businesses and organizations have questions and goals. To answer these questions and track performance against these goals, they gather the necessary data, analyze it , and determine which actions to take to reach their goals. On the technical side, raw data is collected from the business activity. Data is processed and then stored in data warehouses. Once it's stored, users can then access the data, starting the analysis process to answer business questions.

Business intelligence includes data analytics and business analytics, but uses them only as part of the whole process. Business intelligence help users draw conclusions from data analysis. Data scientists dig into the specifics of data, using advanced statistics and predictive analytics to discover patterns and forecast future patterns. Developing business intelligence for mining organization requires integrating fragmented data from disparate sources- such as internet of things sensors, flleet management systems, and ERPs-into a centralized platform to drive data-driven decision-making, optimize operations and enhance safety

Who this course is for:

  • everybody, students, entrepreneurs, business people, managers, companies, directors, business intelligence consultants, multinational organizations, entrepreneurs etc