Data Governance is essential for organisations to ensure data quality, compliance with regulations, risk management, and overall operational efficiency, which collectively contribute to better decision-making and sustained success.
Altis has designed a wide-range of interactive and easy-to-follow Data Governance courses to help your staff better understand the processes, principles and technology that are essential to managing and utilising data.
These courses will cover everything from privacy, security and compliance to real-world case studies on how Data Governance can be implemented successfully and what it means for your organisation.
Our engaging and easy-to-follow data & analytics training courses can be delivered onsite or remotely by our team of highly-skilled industry consultants. Are you ready to improve your Data Governance and become a data-driven organisation?
While data may already be a priority in your organisation, this doesn’t always mean your team has the confidence to use data effectively in their decision making. Improved Data Literacy has been shown to increase decision making performance, providing a competitive edge to your business.
Though data-driven businesses try to hire data-literate staff, silos can arise where they become confined to IT and operational reporting. As departments become more interdependent on one another, data-literate staff must be present throughout the entire decision-making chain to minimise risk and maximise decision quality.
It’s more important than ever that your organisation has the ability to read, work with, analyse, and argue constructively with data to maintain a competitive advantage across your industry.
Our Data Literacy program will have your organisation speaking the same language and be fully data-literate. We cover the fundamentals of ‘speaking data’, right through to advanced statistical concepts such as percentiles, means and correlations to treating outliers, ‘de-averaging’ and handling seasonal effects.
Target Audience This course is aimed at participants who utilise data, either through producing or consuming data or making data-driven decisions.
Data Literacy Training Learning Outcomes
Understand the significance of the DIKW Pyramid and its role in data analysis.
Differentiate between intuitive and analytical thinking systems and apply them to decision-making.
Identify and apply appropriate types of data analysis techniques.
Visualise data distributions effectively and interpret summary statistics.
Apply descriptive data analysis techniques through practical exercises.
Utilise Pivot Tables and Scatter Plots to explore data relationships.
Conduct exploratory data analysis to uncover patterns and trends.
Apply predictive data analysis techniques, including time-series analysis and linear regression.
Determine sample sizes and ensure statistical validity for inferential data analysis.
Execute prescriptive data analysis to inform decision-making and contribute to organisational success.
Data Governance DLG-200
Data Governance is a crucial part of data management and includes the people, processes, standards, and technology essential to managing and utilising data. Data Governance works to ensure compliance and manages risk, and is tailored to the culture, information maturity and priorities of an organisation.
This popular and engaging course will provide participants with an comprehensive overview of the disciplines of governing data, covering the essential components of an organisation-wide program, and outlines the steps involved to execute a successful Data Governance program.
The course makes Data Governance real and tangible through concepts, principles and practices relatable to participants.
Target Audience This course is designed for all data professionals, including Data Governance Leaders, data governance board and council members, Data Stewards, senior executives involved with data governance initiatives and all other key data stakeholders.
Data Governance Training Learning Outcomes At the end of this course delegates should be able to:
Understand:
What data governance is and isn’t
How data mature your organisation is
How to build an internal case for data governance
How and where to start introducing data governance
Key principles of data governance
Key lessons for effective culture change
What the main components of a successful data governance initiative are
How to create a data governance strategy and roadmap
The six key components of a data governance framework
Identify:
Expected benefits and how to measure them
Their role in data governance
This course will provide participants with an overview of the disciplines of governing data, outline the steps involved to execute a successful data governance program. This data and analytics training course makes data governance real and tangible through concepts, principles and practices relatable to participants, something crucial as changes in data governance need to adapt to data developments such as agile development, big data, and self-service analytics.
Data Steward Training DLDS-300
Data Stewards are important leaders in any organisation’s Data Governance implementation. A data steward is an individual or a team responsible for managing and overseeing the use, quality, and governance of data within an organisation. The role of a data steward involves ensuring that data is handled appropriately, meets quality standards, and complies with relevant policies and regulations.
This Data Steward Training course teaches the concepts and practices of data stewardship, covering fundamental topics such as the types of Data Stewards, current terminology, definitions and the critical aspects of the role and responsibilities.
Target Audience This course is aimed at participants looking to establish or improve their data governance strategy, or have a role in Data Governance as a Data Steward.
Data Steward Training Learning Outcomes At the end of this training course, delegates should be able to:
Understand:
Why data stewards are important
Different types of data stewards
Data steward accountability
Roles and responsibilities of data stewards
Best practices of data stewardship
Types of data, databases and data stores
Types of data management processes
Identify:
Common uses of data and data flow
Relationships, roles, goals, competencies and knowledge for data stewardship
Privacy and Compliance DLPC-300
As we move to a digital technology economy there are constant improvements being made to the way businesses deliver services. As organisations collect, store and process more and more data as part of these improvements, they face increasing challenges in data security to ensure data privacy and meet compliance obligations.
This critical and valuable Privacy and Compliance training course covers data security and data privacy compliance within modern organisations, as well as how to address these through effective controls and activities.
Target Audience This course is aimed at participants responsible for Data Privacy and Compliance within their organisation, or those looking to improve their knowledge to make more informed data-driven decisions.
Privacy and Compliance Training Learning Outcomes At the end of this course delegates should be able to:
Understand the importance of privacy and compliance and how to implement changes as we move to cloud-based technologies.
Understand:
What data privacy and compliance are
The data privacy and compliance framework
How to implement controls
How to identify risk
How to conduct a risk analysis and create a risk analysis matrix
How to protect information and the challenge we face
Changes moving from on-prem to cloud-based solutions
Data Governance and Quality DLGQ-400
Trends in technology such as big data, cloud, self-service and agile principles are changing Data Governance practices. With these new trends there is an increase in the concerns around data quality, including the security and reliability of private data, highlighting the importance of new techniques and implementations within organisations.
This engaging data and analytics training course covers the best practices for successful data quality management principles that help shift focus to prevention of data quality issues, rather than correction, helping to improve the quality and value of your data.
Target Audience This Data Governance and Quality training course is aimed at participants looking to establish or improve their data quality strategy, covering all best practice approaches for ensuring the integrity, trustworthiness, and accuracy of your organisation’s data.
Data Governance and Quality Training Learning Outcomes At the end of this course delegates should be able to:
Define the Data Governance framework components
Understand:
How people, processes and technology are core capability areas
Technology-related considerations integral to threat identification and risk management
Data security and data privacy compliance obligations
The laws and regulations relating to the collection, use and disclosure of personal information
Requirements regarding the quality, security and storage of personal information
Know the different types of information
Identify:
Direct vs indirect information collection
Identifiers and anonymous de-identified data
Data Management DLDM-400
The goal of data management is to facilitate the effective use of data for decision-making, analytics, and business operations while ensuring data integrity, security, and compliance with relevant standards.
This interactive and stimulating Data Management training course focuses on the main reasons for failure with Data Management and how organisations can combat them. Each of the topics will be unpacked through explanation and feedback, with participants learning valuable techniques to tackle these problems.
This course is not focused on a particular data management methodology nor does it focus on any particular toolset. Rather, the course teaches principles citing real life examples of both good and bad Data Management.
Target Audience This course is aimed at participants looking to improve their Data Management practices.
Data Management Training Learning Outcomes At the end of this course, delegates should be able to:
Define data management
Understand:
The foundation of data assets across an organisation
How data is a component of enterprise information management
How to manage expanding information requirements through data management
The importance of central data management to an organisation
The foundation of sharing data assets across an organisation
Measure the value of information management across an organisation
Identify:
The value of data and information as an organisation asset
How to implement an information data management plan
Data Governance Certificate FAQs
Who is the Data Governance Certificate suitable for?
Data Governance Training is suitable for a wide range of professionals and individuals who are involved in managing, using, or handling data within an organisation. Here are some key target audiences for Data Governance Training:
Data Stewards: Individuals responsible for overseeing and managing the quality, security, and integrity of data within an organisation.
Data Managers and Administrators: Professionals involved in the day-to-day management and administration of data systems and databases.
Compliance and Risk Management Professionals: Individuals involved in ensuring that data practices align with regulatory requirements and mitigating risks associated with data usage.
Executives and Managers: Decision-makers who need to understand the importance of data governance in achieving business goals and maintaining compliance.
Data Architects: Individuals involved in designing and planning the structure and organisation of an organisation’s data assets.
What do I need to do to prepare for the Data Governance Certificate?
To prepare for Data Governance Training, you can take several steps to ensure that you get the most out of the training sessions and are well-equipped to understand and implement data governance principles within your organisation. Here are some recommendations:
Review Relevant Industry Standards and Regulations: Familiarise yourself with data protection and privacy regulations applicable to your industry or region.
Identify Current Data Governance Practices in Your Organisation: If your organisation already has some data governance practices in place, familiarise yourself with them. Understand the existing policies and procedures related to data management.
Bring Real-World Challenges: Come prepared with specific challenges or issues related to data governance that you are facing in your current role. This can help you apply the concepts learned during the training.
Identify Key Stakeholders: Recognise the key stakeholders within your organisation who are involved in or impacted by data governance efforts.
Define Your Role and Objectives: Clearly define your role in data governance within your organisation. Set specific objectives or goals you aim to achieve through the training.
Do you provide a certificate of attendance?
Upon course completion, all attendees will receive an email with a certificate, a badge and instructions on how to add this badge to their LinkedIn profile.
Why Choose Altis as your Data Governance Training provider?
Choose Altis as your Data Governance training provider for an unparalleled learning experience that seamlessly blends industry expertise with technical skill. Our team of experienced trainers are dedicated to teaching data governance best practices, ensuring that you not only gain theoretical knowledge but also practical insights to navigate the dynamic landscape of data and analytics.
Our data & analytics training courses serve as a direct pathway to transforming you into a proficient, data-driven expert, facilitated by consultants with real-world experience.
What ParticipantsSay
"Great course. I was really pleased that the course was a small group which allowed for interaction between the instructor and participants. I enjoyed the opportunities to discuss our own approaches, issues and challenges. It was useful to hear and learn from the experiences and examples from other participants as well. Andy did a good job of balancing the content for both large and smaller organisations. Well done."
“It was great to be made aware of the importance of data governance. The creative process in creating a succinct vision statement for data governance was enjoyable!”
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Mythili B.
NSW/QLD Regional Manager
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