These days, companies are crowded with the huge amount of unstructured data. ERP systems and databases have evolved to a large amount of information and data and therefore ask: How can we use this data to add value to our organizations? This course gives you the concept of "business intelligence" through practical exercises and activities that allow participants to organize, modify and process large volumes of data. The course also deals with the creation of linkages between historical data (historical), analysis of current conditions and forecasting future strategies. The concept of "business intelligence" encompasses a wide range of strategic, operational and technical decisions for business as it relates to all institutional departments at all levels and all staff responsible for reporting, analysis, modeling and automation.

The course is highly dependent on Microsoft Excel, which is a professional and effective tool that adds value to functional and institutional functions.


This course is divided into 20% of the theoretical content of the design and data structures. 80% of the course focuses on how Excel is used as a tool for Business Intelligence applications. The course uses individual and group exercises, case studies and projects.

This practical course is based on the use of Merck laptops. If you are registered for this course outside Dubai, you will need to bring your laptop with Excel 2010/2013.


Objectives of the session

At the end of the course, participants will be able to:

Demonstrate skills in using Excel to perform all processes related to data collection, analysis, processing and modeling

Data processing, concentration and use in reporting and analysis

Develop business intelligence models, control panels, scorecards, and report management by linking Excel with Excel, Internet, text, or databases

Create advanced reports based on dynamic imaging techniques and techniques

Use a number of tips for improved and efficient institutional processes

Target groups

The training course targets all professionals, analysts, researchers, marketing and sales experts, HR and IT professionals, administrative staff, supervisors and data processing and analysis staff for reporting and decision-making.


Target competencies

Data processing

Data collection and analysis for reporting

Explanation of a large amount of data

Modeling Scenarios (What if?)

data collection

Control panels and scorecards

Key performance indicators



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