Business Intelligence, Big Data, and Web Analytics

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Track Room Location: TBD


This track has been CANCELED. We apologize for any inconvenience.

Please Note: This track is only open to DOL NISGTC individuals. You must be affiliated with the NISGTC program to select this track. Any registrants who are not, will be removed.

Description

Business intelligence (BI) is a set of theories, methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information. BI can handle large amounts of information to help identify and develop new opportunities. Making use of new opportunities and implementing an effective strategy can provide a competitive market advantage and long-term stability.

BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining and predictive analytics.

In information technology, big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, analysis and visualization.

With advances in Business Intelligence (BI) tools, organizations large and small can benefit from analyzing data allowing sound business decisions that go beyond simple feelings and anecdotes. According to Gartner Research, Big Data is becoming an engine of job creation as businesses discover ways to turn data into revenue, says Gartner. By 2015, it is expected to create 4.4 million IT jobs globally, of which 1.9 million will be in the U.S. Applying an economic multiplier to those jobs, Gartner expects that each big data IT job added to the economy will create employment for three more people outside the tech industry in the U.S., adding six million jobs to the economy.

The Business Intelligence, Big Data and Web Analytics 2013 Web Educator Series takes place at a number of select locations throughout the U.S. The goal of the summer series week long workshops is to help facilitate teacher access to cutting edge training and teaching materials. The summer workshop series helps teachers stay current by engaging them in projects designed to showcase skills that are in the highest demand by those that employ Web professionals.

In this four and a half day hands-on workshop specifically designed for the community college educator and those that teach Web professional topics, we’ll cut through the jargon and clutter to explore the business and technology trends, current tool sets, processes and real-world case studies for how Big Data and BI resources are evolving and improving services for the practitioner and those that they serve. Course participants will also learn how to apply analytic techniques and tools to process and analyze Big Data.

There has been a lot of talk about Business Intelligence, Big Data and Web Analytics, but not a lot of education and training on the “HOW-TO” do Business Intelligence, Big Data and Web Analytics. HOW-TO implement it, analyze it, and educate the workforce to enable them to use it to take actionable steps that affect business.

Specifically you will learn/receive:
  • Introduction to Business Intelligence, Big Data and Web Analytics terminology
  • The history of Business Intelligence, Big Data and Web Analytics
  • The Fundamentals of Business Intelligence, Big Data and Web Analytics including who utilizes and why
  • How information, technology and business objectives are all critical components of Business Intelligence, Big Data and Web Analytics success
  • Introduction to Business Intelligence tools including the types of business intelligence tools ranging from open source, free products open source commercial products, proprietary free products and proprietary products
  • Real world case Business Intelligence, Big Data and Web Analytics studies
  • Drill into cutting edge Business Intelligence, Big Data, Predictive Analytics, Web and Mobile Analytics
  • Evaluate and select appropriate vendor products as a part of a Business Intelligence, Big Data and Analytics Big Data implementation plan
  • How to establish a Business Intelligence, Big Data and Analytics program on your campus
  • Business Intelligence, Big Data and Web, Predictive and Mobile Analytics Job market data

The Business Intelligence, Big Data and Web Analytics 2013 Web Educator Series will be providing hands-on lab exercises for each topic presented. Based on what we cover, faculty should be able to create their own introductory course on BI.

Prerequisites

TBD

Instructor

Bill Cullifer is the executive director and founder of Webprofessionals.org a non-profit membership supported professional association established in 1996, providing community, education and certification for Web professionals worldwide. As the organization’s executive director, Cullifer participates in a variety of industry, government and educational advisory boards that assist the organization in developing and delivering professional standards and improving communication between all Web professionals, business and industry, education and government. He serves as the organization’s chief evangelist and advocates on behalf of its members to stimulate the continued growth and opportunities of the Web. He also provides daily podcast regarding a variety of Web professional topics at WebProfessionals.org/blog

Agenda

Day 1 Business Track

Lecture: What is Business Intelligence, Big Data and Web Analytics?

  • Learn Business Intelligence, Big Data and Web Analytics terminology
  • Learn about the history of Business Intelligence, Big Data and Web, Predictive and Mobile Analytics including who utilizes and why
  • Learn how information, technology and business objectives are all critical components of Business Intelligence, Big Data and Web Analytics success

Lab:
  • Evaluate and discuss business driven analysis and industry white papers
  • Examine and discuss real world customer case studies

Day 2 Technology Track

Lecture: This track will explore the most commonly used Business Intelligence, Big Data and Web Analytics tools including the types of tools ranging from open source, free products open source commercial products, proprietary free products and proprietary products (Adobe Digital Marketing and Web Analytics, Google Analytics, Hadoop, MongoDB and related).

Lab:
  • Evaluate and review vendor products as a part of a Business Intelligence, Big Data and Web Analytics Big Data implementation plan
  • Examine and discuss real world customer case studies

Day 3 Web Analytics Track

Lecture: Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage.

Web analytics is not just a tool for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of a web site. Web analytics applications can also help organizations measure the results of traditional print or broadcast advertising campaigns. Web analytics provides information about the number of visitors to a website and the number of page views. It helps gauge traffic and popularity trends which is useful for market research.

Lab: Learn Adobe Digital Marketing Web Analytics Tools

  • Adobe® SiteCatalyst®
  • Adobe® Test&Target™
  • SiteCatalyst Advanced Features & Tool
  • Adobe® Discover™
  • Adobe Social

Day 4 Web Analytics Track

Lecture: Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage.

Web analytics is not just a tool for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of a web site. Web analytics applications can also help companies measure the results of traditional print or broadcast advertising campaigns. It helps one to estimate how traffic to a website changes after the launch of a new advertising campaign. Web analytics provides information about the number of visitors to a website and the number of page views. It helps gauge traffic and popularity trends which is useful for market research.

Lab: Google Web Analytics Tools

Find insights from your data using custom dashboards, reports and advanced segments.

We've done all the work of preformating these for the most common types of business needs. Whether you're a newbie or guru, they will help you learn more about your data through the power of Google Analytics

  • Google Social Media Dashboard
  • Google Content Analytics
  • Google Mobile Analytics
  • Google Conversion Analytics
  • Google Social Analytics
  • Google Advertising Analytics

Day 5 Education Track

There will be a shortage of talent necessary for organizations to take advantage of big data. By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.

Several issues will have to be addressed to capture the full potential of big data. Policies related to privacy, security, intellectual property, and even liability will need to be addressed in a big data world. Organizations need not only to put the right talent and technology in place but also structure workflows and incentives to optimize the use of big data. Access to data is critical—companies will increasingly need to integrate information from multiple data sources, often from third parties, and the incentives have to be in place to enable this.

Lecture: How to establish a Business Intelligence, Big Data and Web Analytics program on your campus

Lab:
  • Review Business Intelligence, Big Data and Analytics Job market data
  • Examine and discuss case studies

Resources

Instructor Links

TBD

Certification Info

TBD

Track Evaluation

TBD