About the Information Management 101 Series

These unique mini-courses center on various information management disciplines, and cover the basics including concepts, objectives, methodology, and terminology. 101 courses offer approximately 1-hour of in-depth material followed by an overview of further topics of interest related to the information management field. These courses are a great way to introduce new students to information management disciplines, allow them to explore an area of interest, and identify topics for further study.

There are currently three mini-courses available, with three more planned for the future.

Data Quality 101

Data quality is fundamental to getting value from data. The work of data quality management is challenging but critical to maximize benefits and minimize risks. Anyone who creates, updates, processes, analyzes, or otherwise works with data has a vested interest in data quality. Everyone who designs, builds, or operates applications and databases has direct data quality responsibilities. Everyone who works with data in any capacity should understand the basics of data quality.
At completion of this short course you will understand:
  • Four common, interrelated definitions of data quality
  • Six dimensions of data quality and the kinds of quality deficiencies associated with each
  • Three common kinds of data quality projects and the processes, purposes, results, stakeholders, and team members of each
  • How system architecture influences data quality
  • Project techniques to build in data quality for several kinds of IT projects
  • Common mistakes and best practices in data quality management

Data Stewardship 101

Data stewardship is one of the most important activities in data management. Stewardship is the job of providing responsible care for something that matters. Few things matter more than data in the digital world that we live in today. Whether working as a data steward or working with data stewards, understanding the basics of data stewardship is valuable knowledge.
In this short course you will learn:
  • The what and why of data stewardship
  • What it takes to be successful as a data steward
  • The broad scope of knowledge and skills needed for data stewardship
  • What data governance is and where data stewardship fits into governance
  • Techniques that data stewards may use to assess data quality
  • The importance of metadata and the roles of data stewards in managing metadata

Data Governance 101

Data governance includes many processes and practices to ensure that data is protected, useful, and valuable. Governance is a broad field that addresses security, privacy, compliance, quality, metadata, retention, risk, and much more. The broad scope requires that data governance is a collaborative effort where every data stakeholder has roles and responsibilities. Everyone who works with data needs to understand the basics of data governance.
In this short course you will learn:
  • The what and why of data governance
  • The complexities, challenges, success factors, and benefits of enterprise data governance
  • Three types of data governance programs and the characteristics of each
  • Common business drivers for a data governance program
  • How and why developments such as cloud, big data, and self-service drive change in and modernization of data governance practices
  • The roles and importance of data curation and cataloging in data governance

Note: Each license entitles one student 30-day access to all mini-courses in the series and there are no exams for the mini-courses. For more information please contact support@elearningcurve.com