DEFINE | Management Consultancy & Training

INFORMATION DATA MANAGEMENT

Location

Dubai, UAE

Date

From Date: 23-Jan-2023
To Date: 27-Jan-2023

Duration

5 Days

Language

English

Discipline

Introduction

Ref No:                ML033
Title: Information Data Management
Start Date: 23 January, 2023 End Date: 27 January 2023
Venue:                 Dubai, UAE
Fee:                      $5,250

In any of the 5 star hotels. The exact venue will be informed once finalized.

Data management plays a significant role in an organization’s ability to generate revenue, control costs and mitigate risks. Successfully being able to share, store, protect and retrieve the ever-increasing amount of data can be the competitive advantage needed to grow in today’s business environment. Data Management plays a key role in helping an organization mitigate risks.
This course provides an overview of data management. The need to deliver good data management is increasingly being seen as providing advantage across the industry, since wise business decision depends on sound data and information.

Objective

This course focuses on the techniques and applications data management and analysis. Typically, focuses on understanding the data, empirical model building using observational data for characterization, estimation, inference and prediction.
Participants will leave this course with an understanding of the core data types, their use in the business, and data management issues facing companies. You will have the knowledge and tools to participate in developing a structured data management frame work, which deal with issues in all practical and effective manners to ensure efficiency and effectiveness.
Participants will study the theory, principles and methods for data management and analysis of observational data. Participants will develop empirical model building skills and be able to employ the models for characterization, estimation and prediction purposes.

Audience

This course is intended for Operators, Engineers, managers and decision makers in various industrial and service sectors, private and public fields that need a tool to plan for the future of their company. Strategic planning managers, research and development managers,
general managers, and can be tailored according to company’s specific needs.

Content

TOPICS COVERED

Resources and data types: definitions
Common data management issues: causes of data issues, data management best practices, business impact.
Overview of data management: definition, data lifecycle, importance and value of data management, benefits of good data management, business case aspects and barriers.
Data management framework: governance, architecture, security, reference and master data management, data quality management.
Data loading & Data quality control
Best Practices

COURSE OUTLINE

Below topics will be covered in detail:

PART I: Data Management

Resource and Data types: definitions
Common data management issues: causes of data issues, data management best practices, business impact
Overview of data management: definition, data lifecycle, importance and value of data management, benefits of good data anagement, business case aspects and barriers
Data management framework:
- Data Governance
- Data Architecture Management
- Data Security Management
- Data Development
- Data Operation Management
- Data Warehousing & Business Intelligence Management
- Document & Content Management
- Reference and Master Data Management
- Data Quality Management
- Meta Data Management
Data loading & Data quality control
To know for what Data are important
Data Presentation
Data Interpretation
Best practices

PART II: DATA ANALYSIS

Introduction to Statistics and data description
Sampling Distribution
Case Study
Parameter Estimation
Testing of Hypotheses
Case Study
Simple Linear regression
Multiple Linear Regression
ANOVA Tables
Case Study

NOTE:
Pre & Post Tests will be conducted
Case Studies, Group Exercises, Group Discussions, Last Day Review & Assessments will be carried out.

Certificate

Define Management Consultancy & Training Certificate of course completion will be issued to all attendees.

Methodology

A highly interactive combination of lectures and discussion sessions will be managed to maximize the amount and quality of information and knowledge transfer. The sessions will start by raising the most relevant questions, and motivate everybody find the right answers. The delegates will also be encouraged to raise their own questions and to share in the development of the right answers using their own analysis and experiences.

30% Lectures
30% Workshops and work presentation
20% Group Work& Practical Exercises
20% Videos& General Discussions

Course Details