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
Requirements
No requirements
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.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Introduction to business intelligence
Section 2: Basic Business Intelligence Components And Architecture
Lecture 3 Data sources layer
Lecture 4 Extract-transform-load ( ETL) Layer
Lecture 5 Data warehouse layer
Lecture 6 End user layer
Lecture 7 Metadata layer
Section 3: Business Intelligence Strategy: How To Develop And Document BI Road Map
Lecture 8 Create the vision
Lecture 9 Establish business intelligence governance processes
Lecture 10 Build a business road map
Lecture 11 Document a business intelligence strategy
Lecture 12 Review your business intelligence strategy every year
Section 4: Ways Business Intelligence Can Help Your Organization
Lecture 13 Determine the return on investment of your marketing strategy
Lecture 14 Derive knowledge from a sea of data
Lecture 15 Understand what drive revenue for your business
Lecture 16 Avoid bottlenecks and problem in a fragile market/ create business model
Lecture 17 Get a single consolidated view of your customers
Lecture 18 Build your brand in a competitive complex retail environment
Section 5: How To Create High Performance Business Intelligence Team
Lecture 19 Recruit the best people
Lecture 20 Create multidisciplinary teams
Lecture 21 Establish business intelligence governance
Lecture 22 Find purple people
Lecture 23 Give business intelligence team a name
Section 6: How To Measure The Impact Of Your Business Intelligence Investment
Lecture 24 Time saved
Lecture 25 User adoption and user engagement
Lecture 26 Lift in business performance
Section 7: How To Use Business Intelligence To Gain Competitive Advantage In Business
Lecture 27 Find more sales opportunities
Lecture 28 Decrease the number of customers you lose
Lecture 29 Measure over and under stock
Lecture 30 Gain clearer view of your financial performance
Lecture 31 Increase the speed and accuracy of reporting
Section 8: Positioning In The Business Intelligence Marketplace
Lecture 32 Problems with Ries and Trout
Lecture 33 Are " insight" a benefit or do they deliver the benefits
Lecture 34 Differentiation helps the brain make decision faster
Lecture 35 Lack of differentiation could be stalling some business intelligence
Section 9: The Value OF Business Intelligence For Your Business
Lecture 36 Decision making
Lecture 37 Sales and Marketing / customer experience
Lecture 38 Productivity / inventory control
everybody, students, entrepreneurs, business people, managers, companies, directors, business intelligence consultants, multinational organizations, entrepreneurs etc


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