Advertisement
  • Homepage
  • >

  • Notice: Only variables should be passed by reference in /var/www/dataversity/wp-content/themes/dataversity/functions.php on line 506
  • Uncategorized
  • >
  • Feb 21 DATAVERSITY Demo Day – Data Governance

Feb 21 DATAVERSITY Demo Day – Data Governance

By on

DATE: February 21, 2024, This event has passed. The recordings and slides will be made available within the next week here: Product Demos Archives – DATAVERSITY.

TIME: 8:00 AM – 11:45 AM Pacific / 11:00 AM – 2:45 PM Eastern

PRICE: Free to all attendees

Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the available tools and services directly from the vendors that could contribute to your Data Governance program’s success.

Register to attend one or all of the sessions, or in order to receive the follow-up email with links to the slides and recordings.

Session 1: Modern Data & AI Governance – How to Improve Business Results Through Automation and AI 

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 data observability. 

Discover how data producers, stewards and consumers collaborate better to improve business results with automation and AI-powered data governance. Join our live demo to learn:  

  • How to get more value from data with automation and AI   
  • Three core pillars of data governance   
  • Best practices to enhance data trust and scalability 

Session 2: Empowering Collaborative Data Intelligence With Semarchy xDM’s Data Platform 

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 Intelligence module is the evolutive foundation for your company’s data culture and accelerator for your company’s strategy. 

Session 3: Take Control of Your Data Landscape With Collibra Data Catalog and Data Governance

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 you can optimize your organization’s data through automated governance. Collibra Data Governance takes the guesswork out of what data means and whether it can be trusted by automating governance activities and enabling cross-functional teams to establish a common understanding around data.  

She’ll explore how to: 

  • Get started with Collibra Data Governance 
  • Find and understand your data assets 
  • Decipher your data to build trust 

Session 4: A Business-first Approach – Data Governance That Serves All Teams 

Precisely logo

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 Suite’s Data Governance and see how it delivers exponential value through a single solution for all data users and consumers across a typical business problem:  

  • Business Owners: Easily understand data relationship to business objectives, metrics, and request new actions  
  • Data Stewards: See new data element alerts to profile and add contextual details, review needed data quality rules, lineage, and impact and pro-actively monitor data changes over time.  
  • Data Engineers: Receive assigned tasks for new data replication requests  
  • Data Analysts:  Receive assigned task and connection details to create data quality pipelines and enrich data