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DataEd Slides: Getting Data Quality Right

Getting Data Quality Right from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: 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 […]

Data Privacy and Security Concerns for Multi-Cloud Organizations

The world is going multi-cloud. Enterprises are leveraging the benefits of multi-cloud services to improve operational efficiency, reduce costs, and drive faster innovation. What does this mean for data privacy? With data residing in multiple locations, it’s more important than ever for organizations to understand their data privacy risks and ensure that any sensitive data is protected.  In […]

DVSum Demo: Unleash Data Agility with an Automated Data Catalog of Your Entire Data and Analytics Stack 

  Download the slides here>> Other Data Catalogs are unwieldy, cumbersome, and expensive. They are geared towards compliance & reporting related Data Governance need.  We built our Data Catalog to make it remarkably easier for Data & Analytics teams to manage and use data.  It is intelligent, easy to setup and use, and cost-effective.  Join […]

Alation Demo: How Machine Learning (and a Little Human Insight) Can Prune Your Thorniest Data Challenges 

  Download the slides here>> Dispel the most demanding data-management challenges with the dynamic duo of machine learning and human insight. We’ll reveal how Alation drives data search and discovery, data governance, data stewardship, analytics, and cloud transformation.  Lindsey Novilla Sr. Sales Engineer, Alation Lindsey Novilla has over ten years of experience in consulting, specializing […]

Data Mesh or Data Mess?

The ways in which we store and manage data have grown exponentially over recent years – and continue to evolve into new paradigms. For much of IT history, though, enterprise data architecture has existed as monolithic, centralized “data lakes.” More recently, as the role of data evolves and changes, so too does where that data […]

Real-Time Data in Machine Learning: Challenges and Solutions

In today’s dynamic global marketplace, events outside of our control are constantly making the data we’ve collected erroneous and outdated. There are instances in which real-time decision-making isn’t particularly critical (such as demand forecasting, customer segmentation, and multi-touch attribution). In those cases, relying on batch data might be preferable. However, when you need real-time automated […]

Data Governance Frameworks

A Data Governance framework can be described as a collection of processes, rules, and responsibilities used to structure an organization’s Data Governance program. A solid framework will cover data standards, data privacy, business strategies, and the responsibilities of key individuals. Well-designed Data Governance frameworks support effective Data Governance programs and should standardize rules and processes across the […]