Data quality (DQ), which ensures that data is fit for business and consumer needs, remains a significant challenge and is growing more complex. According to a dbt Labs 2024 report, 57% of survey respondents identified data quality as a challenging aspect to data preparation, up from 41% in 2022. To address these data quality challenges, companies increasingly […]
IBM Demo: Unlocking Data Quality: Leveraging IBM Knowledge Catalog for Data Governance, Discovery and Regulatory Compliance
Download the slides here>> In today’s data-driven landscape, ensuring data quality is crucial for informed decision-making and business success. However, with the exponential growth of data, it can be challenging to maintain data accuracy, completeness, consistency, timeliness, uniqueness, and validity. IBM Knowledge Catalog (IKC) is a powerful tool that helps organizations tackle data quality challenges […]
Erwin by Quest Demo: Build Data Trust and Ensure Reliability in the AI Era
Download the slides here>> Your organization’s data is only as valuable as your ability to make it easily discoverable, understandable and readily available to the data consumers across your enterprise who can put it to best use. And in an AI era, it’s even more critical to ensure the quality of data you share is […]
Informatica Demo: Building a Trusted Foundation for Analytics and AI Excellence: Optimizing Data Quality
Download the slides here>> As businesses transition to cloud-based applications in their modernization efforts, they encounter increasing complexities in maintaining data quality. The widespread adoption of AI technologies intensifies these challenges, as ensuring data accuracy, completeness, and consistency becomes crucial for reliable AI outputs and decision-making processes. This webinar will explore fundamental aspects of data […]
RWDG Webinar: Navigating the Data Jungle – Catalogs, Glossaries, and Dictionaries Explored
Download the slides here>> This webinar is sponsored by About the Webinar Embark on a journey through the data jungle, where we will venture into the crucial terrain of data catalogs, business glossaries, and data dictionaries, uncovering their pivotal role in taming the complexity of data landscapes. Don’t miss this opportunity to equip yourself with […]
Webinar: Operationalizing Data Governance for Accountability and Transparency
Download the slides here>> This webinar is sponsored by About the Webinar Register now to join this insightful session on operationalizing data governance, featuring perspectives from both data governance and data engineering teams. Latravia White, Data Governance Manager, and Anand Sethukumar, Operations Engineer, will walk through a successful transition from reactive data management to a […]
Building an Enterprise Data Strategy: What, Why, How
No matter how good you feel about the reliability of your company’s data operations, you can’t help wondering on occasion what the chances are that your firm will be one of the victims of the next data outage, malware scourge, or cyberattack. This is especially the case if your job entails ensuring the availability of your organization’s […]
ADV Webinar: AI Language Models for Enterprises
Download the slides here>> About the Webinar An AI language model is a type of artificial intelligence (AI) that is trained on a massive amount of text data. This data can include books, articles, code, and other types of text. Once trained, the AI language model can be used to generate text, translate languages, write […]
Women in Data: Meet Enterprise Data Architecture Manager Shannon Hughes
The latest installment in our Q&A series with women leaders in data features Shannon Hughes, enterprise data architecture manager at ExxonMobil’s Central Data Office. (Read our previous Q&A here.) Shannon Hughes became fascinated with data and technology as a kid, inspired by her dad – a technical data analyst for the U.S. Air Force. She now […]
Data-Ed Webinar: Data Quality Management
Download the slides here>> This webinar is sponsored by: and About the Webinar Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of high quality. Determining how Data Quality […]