Abstract:

A major challenge in the organization is: turning the large amount of data accumulated in the diverse computer systems and the organizational data warehouse into valuable integrative business insights and knowledge for decision makers in the organization with the aim of leveraging the organization's returns and achieving a strategic advantage in the business competition over the competitors

Questions such as: what are the parameters that explain customer abandonment, which customers are most suitable for the new sales promotion of a certain product, which products are bought with a high probability with other product(s), are discussed, analyzed and receive an informed answer.

Visual analytical research in a multidimensional environment as well as data mining procedures and BIG DATA are at the pinnacle of analytical technologies in the organization (BI), and are the hottest topics today in this field.

The course will teach architectures for designing an effective data warehouse as well as architectures of BI products. The course will also teach methodologies for identifying the business motivation with the help of intelligent analysis of the data and finding connections between them, as well as algorithms and analytical models from the field of statistics and artificial and business intelligence.

The course will deal with the theoretical/academic part of the relevant topics as well as the practical side while learning and practicing leading computer tools such as:

- SAS VIYA VA - Analytical research - dedicated tool

- Visual Analytics Self-Service IBM Planning Analytics (OLAP) - multidimensional research in a multidimensional environment,

- IBM Watson Modeler / Orange - Data Mining - data mining

- SAS MINER VDMML - BIG DATA - Text Mining

Abstract:

A major challenge in the organization is: turning the large amount of data accumulated in the diverse computer systems and the organizational data warehouse into valuable integrative business insights and knowledge for decision makers in the organization with the aim of leveraging the organization's returns and achieving a strategic advantage in the business competition over the competitors

Visual analytical research, as well as analytical research in a multidimensional environment, are at the top of the analytical technologies in the organization (BI), and are the hottest topics today in this field.

The course will teach architectures for designing an effective data warehouse as well as architectures of BI products for analytical investigation of the data. Methodologies for identifying the business motivation will also be taught in the course with the help of intelligent investigation and analysis of the data.

The course will deal with the theoretical/academic part of the relevant topics as well as the practical part while knowing and practicing leading computer tools such as:

Pivot Table

Power Pivot

SAS VA (Visual Analytics) – a dedicated research tool

ANALYTICAL PLANNING - IBM's OLAP tool