Name: Business Intelligence
Price: 1495 GBP
Availability: InStock

London

<h2>Business Intelligence: In-House Training</h2>
 <p>Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance.</p><h3>What you will Learn</h3>
 <p>You will learn how to:</p>
 <ul>
 <li>Specify a data warehouse schema</li>
 <li>Identify the data and visualization to be used for data mining and Business Intelligence</li>
 <li>Design a Business Intelligence user interface</li>
 </ul><section>
                    <h3>Getting Started</h3> <ul> <li>Introductions</li> <li>Agenda</li> <li>Expectations</li> </ul> <h3>Foundation Concepts</h3> <ul> <li>The challenge of decision making</li> <li>What is Business Intelligence?</li> <li>The Business Intelligence value proposition</li> <li>Business Intelligence taxonomy</li> <li>Business Intelligence management issues</li> </ul> <h3>Sources of Business Intelligence</h3> <ul> <li>Data warehousing</li> <li>Data and information</li> <li>Information architecture</li> <li>Defining the data warehouse and its relationships</li> <li>Facts and dimensions</li> <li>Modeling, meta-modeling, and schemas</li> <li>Alternate architectures</li> <li>Building the data warehouse</li> <li>Extracting</li> <li>Transforming</li> <li>Loading</li> <li>Setting up the data and relationships</li> <li>Dimensions and the Fact Table</li> <li>Implementing many-to-many relationships in data warehouse</li> <li>Data marts</li> </ul> <h3>Online Analytical Processing (OLAP)</h3> <ul> <li>What is OLAP?</li> <li>OLAP and OLTP</li> <li>OLAP functionality</li> <li>Multi-dimensions</li> <li>Thinking in more than two dimensions</li> <li>What are the possibilities?</li> <li>OLAP architecture</li> <li>Cubism</li> <li>Tools</li> <li>OLAP variations - MOLAP, ROLAP, HOLAP</li> <li>BI using SOA</li> <li>Applications of Business Intelligence</li> <li>Applying BI through OLAP</li> <li>Enterprise Resource Planning and CRM</li> <li>Business Intelligence and financial information</li> </ul> <h3>Business Intelligence User Interfaces and Presentations</h3> <ul> <li>Data access</li> <li>Push-pull data access</li> <li>Types of decision support systems</li> <li>Designing the front end</li> <li>Presentation formats</li> <li>Dashboards</li> <li>Types of dashboards</li> <li>Common dashboard features</li> <li>Briefing books and scorecards</li> <li>Querying and Reporting</li> <li>Reporting emphasis</li> <li>Retrofitting</li> <li>Talking back</li> <li>Key Performance Indicators</li> <li>Report Definition and Visualization</li> <li>Typical reporting environment</li> <li>Forms of visualization</li> <li>Unconstrained views</li> <li>Data mining</li> <li>What is in the mine?</li> <li>Applications for data mining</li> <li>Data mining architecture</li> <li>Cross Industry Standard Process for Data Mining (CISP-DM)</li> <li>Data mining techniques</li> <li>Validation</li> </ul> <h3>The Business Intelligence User Experience</h3> <ul> <li>The business analyst role</li> <li>Business analysis and data analysis</li> <li>Five-step approach</li> <li>Cultural impact</li> <li>Identifying questions</li> <li>Gathering information</li> <li>Understand the goals</li> <li>The strategic Business Intelligence cycle</li> <li>Focus of Business Intelligence</li> <li>Design for the user</li> <li>Iterate the access</li> <li>Iterative solution development process</li> <li>Review and validation questions</li> <li>Basic approaches</li> <li>Building ad-hoc queries</li> <li>Building on-demand self-service reports</li> <li>Closed loop Business Intelligence</li> <li>Coming attractions - future of Business Intelligence</li> <li>Best practices in Business Intelligence</li> </ul>


                </section>

IIL Europe Ltd

Business Intelligence: In-House Training

General Admission

<h2>Business Intelligence</h2>
 <p>Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance.</p><h3>What you will Learn</h3>
 <p>You will learn how to:</p>
 <ul>
 <li>Specify a data warehouse schema</li>
 <li>Identify the data and visualization to be used for data mining and Business Intelligence</li>
 <li>Design a Business Intelligence user interface</li>
 </ul><section>
                    <h3>Getting Started</h3> <ul> <li>Introductions</li> <li>Agenda</li> <li>Expectations</li> </ul> <h3>Foundation Concepts</h3> <ul> <li>The challenge of decision making</li> <li>What is Business Intelligence?</li> <li>The Business Intelligence value proposition</li> <li>Business Intelligence taxonomy</li> <li>Business Intelligence management issues</li> </ul> <h3>Sources of Business Intelligence</h3> <ul> <li>Data warehousing</li> <li>Data and information</li> <li>Information architecture</li> <li>Defining the data warehouse and its relationships</li> <li>Facts and dimensions</li> <li>Modeling, meta-modeling, and schemas</li> <li>Alternate architectures</li> <li>Building the data warehouse</li> <li>Extracting</li> <li>Transforming</li> <li>Loading</li> <li>Setting up the data and relationships</li> <li>Dimensions and the Fact Table</li> <li>Implementing many-to-many relationships in data warehouse</li> <li>Data marts</li> </ul> <h3>Online Analytical Processing (OLAP)</h3> <ul> <li>What is OLAP?</li> <li>OLAP and OLTP</li> <li>OLAP functionality</li> <li>Multi-dimensions</li> <li>Thinking in more than two dimensions</li> <li>What are the possibilities?</li> <li>OLAP architecture</li> <li>Cubism</li> <li>Tools</li> <li>OLAP variations - MOLAP, ROLAP, HOLAP</li> <li>BI using SOA</li> <li>Applications of Business Intelligence</li> <li>Applying BI through OLAP</li> <li>Enterprise Resource Planning and CRM</li> <li>Business Intelligence and financial information</li> </ul> <h3>Business Intelligence User Interfaces and Presentations</h3> <ul> <li>Data access</li> <li>Push-pull data access</li> <li>Types of decision support systems</li> <li>Designing the front end</li> <li>Presentation formats</li> <li>Dashboards</li> <li>Types of dashboards</li> <li>Common dashboard features</li> <li>Briefing books and scorecards</li> <li>Querying and Reporting</li> <li>Reporting emphasis</li> <li>Retrofitting</li> <li>Talking back</li> <li>Key Performance Indicators</li> <li>Report Definition and Visualization</li> <li>Typical reporting environment</li> <li>Forms of visualization</li> <li>Unconstrained views</li> <li>Data mining</li> <li>What is in the mine?</li> <li>Applications for data mining</li> <li>Data mining architecture</li> <li>Cross Industry Standard Process for Data Mining (CISP-DM)</li> <li>Data mining techniques</li> <li>Validation</li> </ul> <h3>The Business Intelligence User Experience</h3> <ul> <li>The business analyst role</li> <li>Business analysis and data analysis</li> <li>Five-step approach</li> <li>Cultural impact</li> <li>Identifying questions</li> <li>Gathering information</li> <li>Understand the goals</li> <li>The strategic Business Intelligence cycle</li> <li>Focus of Business Intelligence</li> <li>Design for the user</li> <li>Iterate the access</li> <li>Iterative solution development process</li> <li>Review and validation questions</li> <li>Basic approaches</li> <li>Building ad-hoc queries</li> <li>Building on-demand self-service reports</li> <li>Closed loop Business Intelligence</li> <li>Coming attractions - future of Business Intelligence</li> <li>Best practices in Business Intelligence</li> </ul>


                </section>

Business Intelligence

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