To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining […]
DAS Slides: Data Quality Best Practices
Data Quality Best Practices from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires […]
What Is Streaming Analytics?
Data intake is an ongoing process, so the filtering and analysis process works best when it is continuous. However, most organizations struggle with this aspect and instead process data in batches. Streaming analytics, also known as event stream processing, solves this issue by employing methods such as continuous queries to process and analyze data in real time. […]
Machine Learning Solutions
Machine learning solutions can be considered a subdivision of artificial intelligence, with multiple machine learning algorithms combined to create artificial intelligence. Some of these algorithms can, however, be used to accomplish specific, limited tasks, ranging from answering phones to recognizing images. Machine learning (ML) solutions are normally used in situations requiring adaptability, a limited variety of […]
What Makes Data Intelligence Intelligent?
Every day, trillions of data points are generated, and, in theory, organizations can harness this data to make better, more informed decisions. But it’s precisely the vast scale of available data that makes it so hard to manage. According to IDC, data professionals spend 80% of their time searching for and preparing data and only 20% […]
The Importance of a Data Governance Roadmap
A Data Governance (DG) roadmap provides a detailed plan or strategy, normally with a list of tasks that must be accomplished for improving or “maturing” a DG program. It should also list the people who are responsible for completing specific tasks. A Data Governance roadmap often includes incorporating Data Governance best practices and is typically based on […]
RWDG Webinar: The Impact of Data Governance on Data Literacy
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Gartner defines Data Literacy as the ability to read, write, and communicate data in context, including an understanding of data sources and constructs, analytical methods, and techniques applied, and the ability to describe the use case, application, […]
RWDG Slides: The Impact of Data Governance on Data Literacy
RWDG: The Impact of Data Governance on Data Literacy from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Gartner defines Data Literacy as the ability to read, write, and communicate data in context, including an understanding of data sources and constructs, analytical methods, and techniques […]
The Role of Decision Science in Shaping Business Analytics
The field of decision science focuses on making data-informed decisions. Decision science helps to analyze the impact of a decision on the business. The best decisions are often made with a combination of data and precise business questions. The more precise the questions, the more precise the data requirements will be. Harvard’s Center for Health […]
Collibra Demo: Session 5: Delivering Trusted Data – Collibra’s Modern Approach to Data Quality
Download slides here>> You want an agile, proactive business that can respond quickly to changing markets. Doing so requires trusted data. With predictive data quality and observability, Collibra centralizes and automates data quality workflows to streamline data and analytics processes across the enterprise. And with integrated lineage, ownership model, and catalog, modernizing your data […]