Modern Business Intelligence

How to develop business intelligence strategy and used it to enhance competitive advantage

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