Data completeness is an important aspect of Data Quality. Data Quality is a reference to how accurate and reliable the data is overall. Data completeness specifically focuses on missing data or how complete the data is, rather than concerns of inaccurate or duplicated data. A lack of data completeness is normally the result of information […]
Informatica Demo: Modern Data & AI Governance – How to Improve Business Results Through Automation and AI
Download the slides here>> Half of enterprises are digital businesses and over half of data leaders list data governance as their number one priority. This isn’t a surprise given the following requires a modern approach to scale meeting risk and compliance standards, responsible AI and data sharing to improve literacy, and maintaining high-quality pipelines with […]
Semarchy Demo: Empowering Collaborative Data Intelligence With Semarchy xDM’s Data Platform
Download the slides here>> With the new Data Intelligence module in xDM’s Data Platform, everyone can fully understand and leverage data assets to deliver business value. This single solution combines data governance, profiling, catalog, lineage and quality capabilities with an active metadata foundation – enabling end-to-end visibility and linkage from strategy to data. Semarchy’s Data […]
Collibra Demo: Take Control of Your Data Landscape With Collibra Data Catalog and Data Governance
Download the slides here>> Nearly any enterprise today can understand the immense value data brings to their organization. However, there is a difference between data and data that is trusted and usable. The bottom line: data that isn’t understood or trusted is useless. Join Bobbi Caggianelli, Senior Manager, Sales Engineering, at Collibra, to see how […]
Precisely Demo: A Business-first Approach – Data Governance That Serves All Teams
Download the slides here>> Data Governance is essential to ensuring companies are leading with data-driven decisions. Explore Precisely’s Data Governance solutions that leverage integrated capabilities to unite business owners, data stewards, data analysts, and data engineers, fostering a collaborative and wholistic view open to tackle today’s business challenges. Explore a demo with Precisely Data Integrity […]
Common Master Data Management (MDM) Pitfalls
Leaders need to trust data within the organization to make sound business decisions. So, many turn to master data management (MDM), a solution to get and keep uniform and accurate data that increases business value. Yet, according to Gartner, 75% of all MDM programs across organizations fail to meet business objectives. Moreover, this trend has worsened since 2015, […]
DAS Webinar: Building a Data Strategy — Practical Steps for Aligning with Business Goals
Download the slides here >> About the Webinar Developing a Data Strategy for your organization can seem like a daunting task, but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation to marketing to customer centricity, […]
AI Governance Best Practices
AI governance is meant to promote the responsible use of artificial intelligence for the betterment of humankind. Artificial intelligence has proven itself quite useful in completing a large variety of tasks quickly and efficiently. Unfortunately, it can also be used to support criminal behavior or to create and distribute misinformation. AI governance is an effort […]
My Career in Data Season 2 Episode 7: Josian Edmond, Associate Director, Data & Analytics Center of Excellence, Canadian Blood Services
Welcome back to season two of My Career in Data – a DATAVERSITY Talks podcast where we sit down with professionals to discuss how they have built their careers around data. This week we’re talking with Josian Edmond, the Associate Director of Data and Analytics Center of Excellence at the Canadian Blood Services about how […]
Fundamentals of Data Virtualization
Organizations are increasingly employing innovative technology called “data virtualization” (DV) to tackle high volumes of data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems […]