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Learn about the best tools and frameworks for data strategies to manage and monitor data quality and integrity in this article.
Learn how to use data strategies to create personalized customer experiences, while protecting and securing your data, and complying with data laws.
Learn about six key trends in data security and privacy, such as data sovereignty, data ethics, data breach, data rights, data intelligence, and data collaboration,…
Learn how to use data warehouse modeling tools and frameworks to simplify and automate the development process. Discover the benefits, features, and best practices…
Learn how to use indexing and partitioning techniques to improve the performance, scalability, and efficiency of your data warehouse queries and reports.
Learn how AI and ML can help you design and implement data strategies that are more secure and efficient in six ways: governance, security, privacy, analysis…
Learn what a data inventory and catalog tool is, how it works, and what are the advantages and drawbacks of using one for your data strategy.
Learn how to design and run data experiments with confidence and integrity. Avoid common challenges and risks such as data quality issues, ethical dilemmas, and…
Learn how to detect and correct data gaps and biases in your data strategies. Find out how to improve your data quality, reliability, and validity.
Learn how to assess and develop the data literacy and skills of your workforce and customers to create a data culture that supports your data goals and needs.
Learn the key components of a data strategy template and how to fill them out to plan and manage your data initiatives effectively.
Learn what a data inventory and catalog are, why they are important, and how to create and maintain them for your data strategy.
Learn how to design and deliver effective training for your staff to recognize and avoid phishing and ransomware attacks, as part of your data strategy.
Learn how to identify and prioritize data quality issues and improvement opportunities in your data strategy with these six steps and tools.
Learn how to connect with other data enthusiasts, share your ideas and challenges, and benefit from their insights, feedback, and best practices.
Learn how to use a framework, a maturity model, and a dashboard to assess and enhance your data governance practices and outcomes.
Learn about the most effective tools and frameworks for data visualization and storytelling, and how to apply them to your data projects.
Learn about the common data governance challenges and solutions for improving data quality, compliance, efficiency, and innovation in your organization.
Learn how to define data stewardship roles and responsibilities in your organization, and why they are important for data strategies.
Learn how to design and manage a data lake that supports your data strategies. Discover the key challenges and best practices for data lake architecture…
Learn the key differences and similarities between star and snowflake schemas, two common data warehouse architecture patterns, and how to choose the best one for…
Learn best practices and tips to create effective data dashboards and reports that match your purpose, context, and audience needs.
Learn how to design and deliver effective data literacy and culture training and education programs that foster a data-driven culture and empower your employees.
Learn how to design and implement a data strategy for BI, align it with your business objectives, and measure its impact with metrics and KPIs.