Basic data literacy is a foundational skill for business intelligence and a required skill for everyone that works with data.

We have identified a training program for every knowledge worker to improve their data literacy – highlighting 5 courses from our CIMP and CDS curricula that could be of real value.

Ready to become an expert in business intelligence? Read what you need to learn for business intelligence for a head start.

Information Management Fundamentals

Information Management (IM) is a broad and diverse field that encompasses fourteen distinct disciplines.

The abundance of disciplines and the dependencies among them make IM a complex field but one that is rich with opportunities. To understand the full scope of information management you need to know something about topics that range from data modelling to predictive analytics. For those who are just starting an IM career, the scope and complexity can be somewhat daunting. Even seasoned IM professionals don’t typically have knowledge of and experience in all of the disciplines.

This online training course provides a high-level view across the entire scope of information management: What are the disciplines and how do they fit together?

Data Governance Fundamentals

Data governance is an emerging, cross-functional management program that treats data as an enterprise asset. It includes the collection of policies, standards, processes, people, and technology essential to managing critical data to a set of goals. Data governance also includes the oversight necessary to ensure compliance and manage risk. A data governance program can be tailored to match an organization’s culture, information maturity, priorities, and sponsorship.

This online training course provides an overview of the disciplines of governing data, covers the essential components of an enterprise-wide program, and outlines a roadmap to execute a successful data governance program.

In addition to the extensive overview, the course makes data governance real and tangible by illustrating the concepts, principles, and practices using a case study of Data Governance in a Customer Intelligence initiative. The course also examines the changes in data governance that are needed to adapt to developments such as agile development, big data, and self-service analytics.

Analytics Fundamentals

Analytics is a mainstream topic in almost every walk of life today.

In business, it is discussed in the boardroom, at strategy sessions, in operational settings, in marketing campaigns and in technology groups. In everyday life, it is used to manage social networks, personal fitness, personal health, and much more.

Analytics offers tremendous potential for organizations to improve competitive positioning, generate new insights, guide decision-makers, and shape positive outcomes. Success with analytics requires an understanding of many parts that must work together to turn potential into reality. The ability to harness data, technology, people, and processes cohesively is fundamental to success.

Our 6-hour online course provides a foundation to understand the scope and the key success factors of analytics.

Concepts and terminology are introduced, and the scope of analytics is discussed to set the context and provide a frame of reference for topics that follow.

Business analytics is described and made tangible through a variety of industry use cases and functional examples. Data analytics is presented as the set of information building blocks to enable business analytics applications. The breadth of analytics possibilities is described using a capabilities framework to position a wide range of algorithms and modelling techniques.

Data Quality for Data Stewards

Since data quality is one of the core responsibilities of data stewards, each steward needs a foundation of concepts, principles, terminology, and methodology of data quality management.

This online training course provides an overview of the field of data quality with the goal of building strong fundamental knowledge for data stewards. It covers topics ranging from data quality definitions and dimensions to key data quality management practices and methodologies as well as core data quality processes and projects.

Metadata Management for Data Stewards

You can’t manage information effectively without understanding the data’s meaning, constraints and relationships.

Metadata management and data modelling disciplines provide the essential tools to collect, record, and organize such knowledge. Understanding these disciplines is essential to the success of every knowledge worker, from data stewards to business intelligence professionals.

Our online training course is designed to provide foundation knowledge about the most commonly used metadata management, data modelling, and data profiling techniques.

Data Literacy Certification

Our Data Literacy Certification Package offers comprehensive education in the basics of 12 topics in data literacy. You will earn the Data Literacy (DLC) certification after the successful completion of a challenging exam.

All courses (and exams) are available on demand, via eLearning, and contribute towards a Certified Information Management Professional, Certified Data Steward or Data Literacy Certification. Contact us or call +27114854856 for more details

What is data literacy and why is it important explains the concept and its importance in plain language. Check it out and start building your data literacy skills today!

If you’re considering a career in business intelligence, it’s important to have the right background. At Master Data, we’ve written an article on the Recommended Background for Business Intelligence that outlines the education and experience you’ll need to succeed.