Data Governance = Data Quality. It’s the foundation and first step of any successful data strategy + will give your business the maximum value from your data. Think of Data Governance as a framework that out exactly how your people accurately manage your business data: from generation to deletion. It informs what data - at what level of detail - needs to be captured, to support your analytics.
Implement clear roles and responsibilities, processes to quickly and accurately capture your business data and ensure data quality
Save business time, resources spent on manual and non-value adding tasks
Mitigate data privacy and security risk by eliminating human error + non-compliance.
Notitia works directly with you to create a bespoke data governance framework to manage and protect your data effectively. Your data governance framework will specify how documents should be categorised, who can access them, how they should be stored, how long they should be stored for and what should happen if something goes wrong. It will define roles and responsibilities: who is responsible for managing the documents and ensuring their accuracy. And processes for data backup, data retention, and data disposal.
Notitia can assist your team with creating roles and responsibilities for working groups and data governance councils, so that your business can effectively manage and make decisions about your data and ensure that it is handled properly.
Overall, the roles and responsibilities within working groups and data governance councils ensure that different aspects of data management are addressed, decisions are made collectively, and data is handled in a responsible and organised manner throughout your business.
Consent management is the process of obtaining and managing the permissions or approvals from individuals regarding the use of their personal information or participation in certain activities. Businesses collect and use personal data for various purposes, such as sending marketing emails, analysing user behaviour, or sharing data with third parties.
Not only is it important to respect individuals' privacy and give them control over their data, but in Australia, there is legislation in place to protect the rights of consumers such as The Privacy Act and SPAM Regulations 2021.
An ethics framework is compiled of guidelines and principles that ensure ethical and responsible use of data. These rules will help your business to make fair and moral decisions when it comes to handling and use of data. The framework is designed to protect people's rights, prevent harm, and promote transparency and trust.
Data governance assessments are evaluations or audits conducted to measure and understand how well a business manages and governs its data.
During a data governance assessment, experts or professionals review various aspects of data management within an organisation. They examine processes, policies, and practices related to data to identify strengths, weaknesses, and areas for improvement.
Metadata management is the practice of organising and managing information about data. It's like having a catalogue or index that helps you understand and find the data you have.
Metadata provides additional information about that data, such as its meaning, structure, origin, and context. It helps users understand what the data represents and how it can be used effectively.
Advanced data governance capabilities refer to a set of practices and tools that ensure your data is properly managed, controlled, and maintained throughout its lifecycle. It includes proactive data ownership, data stewardship, regular monitoring and issue resolution, adherence to good data quality and monitoring key indicators. By implementing advanced data governance capabilities, your business can proactively manage your data assets, ensure data quality and compliance, and mitigate risks associated with data-related issues. This leads to improved decision-making, increased operational efficiency, and enhanced trust in your data.
Data quality assessments and remediation is the process of evaluating the quality of your business data and taking necessary actions to improve or fix any issues found.
By conducting data quality assessments and remediation, your business can proactively identify and resolve data issues before you introduce a change. This ensures that your data remains accurate, consistent, and reliable.
Data security and compliance, under the umbrella of data governance, refer to practices and measures put in place to protect data from unauthorised access, ensure data privacy, and adhere to relevant regulations and standards.
It involves Data Lifecycle Management (DLM), proactive data security measures and compliance with regulatory cyber security and privacy requirements.
Strong Data Governance = Strong Data Quality. Data ownership protocols help organisations and businesses to ensure that the right people capture and use accurate and trustworthy data to make data-driven decisions.
To get the maximum value from your business data it is critical to have a data governance framework in place that is tailored to your business needs.
Poorly managed data puts your business at risk of non-compliance, misuse and mis-interpretation of data, privacy breaches and cybersecurity theft. When data is not handled correctly, your business data is wasted and it costs more to extract useful information from your data.
We build feedback loops and quality assurance processes to improve governance over your business data. We work out who owns controls and accesses data.
