Who is this workbook for?
More data than ever offers tremendous potential to improve user experiences, boost profits and increase market share. However, effective data governance is essential for handling increasing data regulations, accommodating future data growth and managing data complexity across separate systems and multiple clouds.
Data governance enables efficient data access, ensures data quality and helps to ensure compliance with internal policies and external regulations. This workbook will delve into implementing a practical approach to data governance, including how to:
Enabled certified and accurate reporting thanks to collective knowledge across teams with less effort
Increase transparency and understanding so data consumers are aware and have a better understanding of the data available to them
Improve compliance and reduce risk to set your organization up for success
How to implement successful data governanceData governance acts as the foundation for ensuring data accuracy while optimizing effort. When data governance is done right, business and data analysts can spend more time creating value for your organization and less time trying to find and understand the data. Data governance can mitigate compliance, access and risk issues. It allows teams to foster trust in data so everyone can quickly and reliably make better decisions using reliable, trusted data.
To build a successful data governance program within your organization, you must follow five key steps.
Let’s explore each step in detail.
Step 1:Align stakeholders
Step 2:Establish confederation
Step 3:Foster a culture of accountability
Step 4:Execute continuous improvement
Step 5:Define data standards and practices