This course is ideal for higher education graduates, pros with relevant interests and work experience or higher education students who would like to enhance their skills and knowledge on web analytics while get an overall view of the basic tools used in web analytics.
Every day, all businesses face dozens of questions relating to making decisions about their operation. Questions concerning the allocation of staff, the expected demand, the volume of orders, product storage, product promotion, customer acquisition, customer assessment, the effectiveness of any advertising, transportation of materials, processing of data, finding and collecting data of interest, etc.
The answer to such questions has a significant benefit, since it dramatically reduces the company's operating costs and makes it competitive and viable, especially in a time of crisis, when financing is not easy to find and therefore everything should be organized and exploited to the fullest degree.
This course elaborates on the basics principles of the web analytics while providing an introduction to the concept of Business Intelligence (BI), its impact and its basic uses.
Note: During August the participant will not be provided with educational content and educational support. The training process will be active again by 04/09
The course has a dual aim. First to introduce the basic principles of Business Intelligence (BI) and to further expand on the in depth understanding of web analytics. Once an introduction to web analytics is made, namely how we collect data and information on the Internet, an introduction follows on the basic quantitative methods of decision making. There we will examine calculation methods for optimizing certain criteria and finally advanced statistical methods that will help us to organize our data and to extract safe scientific results.
Module 1 - Introduction to Business Intelligence
Lesson 1: Introduction
This lesson provides an introduction to the concept of Business Intelligence (BI), its impact and its basic uses. It begins with an overview of BI, including a discussion on what is BI, what are the differences from other technologies and the role BI plays in organizations. Examples borrowed from various organizations are used to illustrate and explain these aspects.
Lesson 2: The architecture of a Business Intelligence System
This lesson describes all key functional components of a Data Warehouse/Business Intelligence Architecture (BI). First, an overview of a typical business intelligence architecture is made. Then, there is a focus on key operational processes of the BI system, describing the flow of data from the primary information systems to the end users and the transformations of corporate data across the spectrum. The lesson also describes the tools, techniques, and platforms that support the stages of this flow.
Lesson 3: Business Intelligence Functions
This lesson summarizes the four main functions of Business Intelligence solutions: creation of organizational memory, integration of information, enhancement of business insight and presentation and dissemination of information. It begins with an overview of these four functions, examining the interactions between them. Then, focuses on each function separately, analyzing the factors that enhance their importance and giving specific examples.
Lesson 4: Business Intelligence Technologies
This lesson refers to the main information technologies that facilitate the use of business intelligence. These technologies are classified into four categories, based on the four basic functions of business intelligence discussed in the previous section. Related technologies, such as ERP systems, data mining, OLAP analysis process, and balanced scorecard tables are described and illustrated.
Lesson 5: Development of Business Intelligence Systems
This lesson focuses on Business Intelligence solutions and the processes associated with their development. The lesson begins by examining the concept of Business Intelligence solutions and their desired characteristics. Alternative approaches to obtain Business Intelligence solutions and applications are discussed. Finally, two alternative development methodologies of Business Intelligence systems are presented, as well as specific steps in this development process.
Lesson 6: Business Intelligence System Management - Administration
This lesson examines the concept of Business Intelligence management, which includes all the actions needed to achieve the maximum value from the various business intelligence efforts of the organization. The BI Competency Center (BICC) is key to this process. The section begins with an overview of the challenges faced during Business Intelligence Management and how they can be addressed with the creation of a BI Competency Center. Then, we focus on the functions, the value and the use a BI Competency Center. Finally, we present a case study that illustrates the use of a BICC in a leading telecommunication company.
Lesson 7: Measuring Success
This lesson provides an introduction on how to measure the business value of Business Intelligence. It begins with an overview of the main reasons for measuring Business Intelligence, including a discussion on the definition of Business Intelligence failure and success. The diverse quantitative and qualitative measuring techniques of a BI system are presented. Finally, the various aspects of measuring the success of Business Intelligence are illustrated in a case study.
Lesson 8: Business Intelligence - Future Trends
This lesson focuses on current trends and future directions in the Business Intelligence sector. Like the entire industry of software development, the sector of Business Intelligence is characterized by a constant focus on development. This development involves the use of the latest advances in database technology and modern trends in the field of business analytics. Among others, this section discusses the role of social media, big data, predictive analytics as well as the development of self-service models and cloud computing models.
Module 2- Web Analytics
Lesson 1. Introduction
The purpose of the lesson is to introduce the concept of web analytics techniques.
Lesson 2. Data Collection
The purpose of the lesson is to introduce the concept of data collection techniques for implementing a successful web analytics strategy.
Lesson 3. Qualitative Methods (User-Centric Research)
The purpose of the lesson is to introduce the concept of quality data collection and relevant collection techniques.
Lesson 4. Quantitative Web Analytics Techniques and Strategies
The purpose of the lesson is to introduce the concept of quantitative web analytics techniques and strategies.
Lesson 5. Web Analytics Key Performance Indicators (KPI)
The purpose of the lesson is to introduce the concept of key performance indicators and their use in web analytics.
Lesson 6. Web Testing and Experimentation
The purpose of the lesson is to introduce the concept of web testing and related test- experiments with special emphasis on A/B test, multivariate tests and controlled experiments.
Lesson 7. Emerging Web Analytics Solutions
The purpose of the lesson is to introduce the new trends in the industry of web analytics. These trends are mainly a result of social media and the revolution of mobile applications
In each module the learner will have to take and submit electronically the corresponding tests, according to the timetable given by the instructor. The grades of previous modules are communicated to the student before the closing date of the next module’s test. The grading scale ranges from 0 to 100%. Overall, the grade of each module is calculated as follows: the assessment exercises make up 60% of the grade and the remaining 40% results from the final assignment, which is composed at the end of the course if required.
The Training Certificate is awarded when the learner receives in all courses a grade higher than 50%. If the total score of one or more of the courses does not exceed 50%, the learner has the opportunity to retake these courses after completion of the educational process of the program. The grade earned in the review procedure is final for these courses, provided that it exceeds the one earned in the normal course of the educational process. In the opposite case the original grade is maintained.
Online and distance learning at National and Kapodistrian University of Athens offers a new way of combining innovative learning and teaching techniques with interaction with your tutor and fellow students from around the world.
The e-learning programme is implemented via a user-friendly educational platform adjusted to the Distance Learning Principles. Programmes are structured as weekly online meetings; interaction with the programme tutor and other students takes place in a virtual learning environment. The programmes are designed to fit around your schedule; you access the programme whenever it is convenient for you.
The whole world becomes your classroom as e-learning can be done on laptops, tablets and phones – it is a very mobile method.
The educational platform is a portal that offers access to electronic classrooms based on modern distance learning technologies. The computer based nature of training means new technology is being introduced all the time to help students engage and learn in a tailored way that will meet their needs. Each e-classroom is similar to a traditional teaching classroom. Students have access to e-classrooms with their personal code number in order to browse the teaching material, to being informed about the latest news/updates and interact with their instructors. Moreover, through own personal e-mail account through which they can contact directly their mentors or the administration office of the programme and share any concerns or anxieties related to the programme and make the most form their experience.
In each programme, learners submit the corresponding tests, within the deadline given by their instructors. Final mark fluctuates from 0 to 100%. The overall grade in each programme is calculated based on the student's marks on assessment exercises that follow each unit while their instructor might also assign them with a final assessment at the end of the programme. Finally, if the total score on one or more lessons of the programme does not exceed 50%, students can ask for reassessment.
During the programme students will be attending lectures and group seminars presented by academics and speakers from the National University of Athens as well as from other Universities, Research Institutes and Cultural organizations around Greece. In addition, when you study with us, you have online access to first-class resources relevant to your programme – plus you can browse material in other subject areas.
Every week e-learners are provided with the relevant material , either video-lectures or typed notes and relevant resources or a combination of both.
Interactivity, lower costs and our long experience guarantees that studying with us will offer a successful and rewarding experience. Finally, the access to a large variety of material and online resources available in each unit aims to excite your curiosity and guide you in studying further on your favourite topic will the online material which can be downloaded will give you the opportunity to quickly refresh your memory after the completion of the programme.