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MIM1015 – Data Management for Business Excellence (2 Days)

Description

MIM1015 – Data Management for Business Excellence (2 Days)

Overview

In today’s data-driven environment, effective data management is essential to ensuring accuracy, consistency, security, and usability of organizational data. Poor data management can result in inefficiencies, compliance risks, inaccurate decision-making, and missed business opportunities.

This two-day program is designed to equip participants with practical knowledge and skills to manage data throughout its lifecycle—from collection and organization to storage, usage, protection, and governance. Participants will learn best practices in data quality management, data security, and compliance, enabling them to support reliable reporting, analytics, and operational excellence across the organization.

  • 95% positive reviews (46)
  • 901 students

This program can be tailored to your specific business needs.

A little bit of personalization goes a long way. Ask us for a no-obligation Training Needs Analysis (TNA) so we can tailor this, or any other CSG program to meet your learning outcomes.

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Objectives

By the end of this program, participants will be able to:

  • Understand core data management concepts and the data lifecycle
  • Organize and structure data for accuracy, accessibility, and usability
  • Apply data quality management techniques to ensure reliable information
  • Implement data governance, security, and compliance best practices
  • Manage data responsibly to support reporting, analytics, and informed decision-making

2 Days

  • Data Analysts and Business Analysts
  • IT and System Support Professionals
  • Operations and Process Managers
  • HR, Finance, and Administrative Professionals handling data
  • Professionals involved in reporting, analytics, and data handling

Modules:

Module 1: Introduction to Data Management
  • What data management is and why it matters
  • Types of data: structured, semi-structured, and unstructured
  • Understanding the data lifecycle: creation, storage, usage, archiving, and disposal
  • Best practices in data collection
  • Standardizing data formats and naming conventions
  • Data classification and categorization
  • Structuring data for accessibility and analysis
  • Dimensions of data quality: accuracy, completeness, consistency, timeliness
  • Common data quality issues and root causes
  • Data validation and cleansing techniques
  • Roles and responsibilities in maintaining data quality
  • Overview of data storage options: databases, files, and cloud platforms
  • Integrating data across systems
  • Managing data versions and backups
  • Introduction to master data and reference data
  • Understanding data governance
  • Roles of data owners, data stewards, and data users
  • Policies, standards, and procedures
  • Aligning data governance with business objectives
  • Core principles of data security and risk management
  • Access control and data protection measures
  • Overview of data privacy and regulatory requirements
  • Managing sensitive and confidential data responsibly
  • Preparing data for reports and dashboards
  • Supporting analytics and decision-making through well-managed data
  • Reducing data redundancy and inconsistencies
  • Case discussion: Impact of poor versus effective data management
  • Identifying current data management challenges
  • Developing a simple data management improvement plan
  • Best practices for continuous data management improvement

Program Methodology

  • Hands-on Activities: Practical exercises to reinforce theoretical concepts.
  • Group Discussions: Opportunities for peer-to-peer learning and exchange of ideas.
  • Role Plays: Simulations of realistic situations to build practical skills.
  • Feedback Sessions: Reviews and reflections to encourage improvement.
  • Problem-solving Exercises: Develop critical thinking and decision-making skills.
  • Experiential Learning: Learning by doing, promoting active involvement.
  • Interactive Lectures: Engaging presentations by experts in the field.
  • Case Studies: Real-world scenarios for learners to apply their knowledge.
  • Quizzes & Tests: Regular assessments to track learning progress.

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