In this case study, one company adopted a tool powered by a cloud platform and discovered a number of critical data issues that would not have been found until much later in downstream business processes. Read on to learn about the other benefits ZS realized because of this data quality tool.
To get the most valuable insights, quickly and reliably, successful organizations build data science teams that incorporate different skill sets and responsibilities. Learn which talents and abilities define members of a data science team, as well as how they complement each other.
Société Générale, a leading European financial services institution, decided to adopt a process-centric approach to ensure the integrity of transactions end-to-end. This case study explains how they identified critical information exchanges between apps and assessed corresponding risk by embracing automated analytics.
This white paper evaluates a scale-out data lake platform that provides robust multi-protocol ingest capabilities to make it easier to build a Big Data workflow in a data lake. Learn more about the key features of this solution and see how it can enable your enterprise to simplify your data management operations and keep your data secure.
This white paper highlights a data management tool that allows enterprises to collect data sources into a centralized catalog and flexibly add the amount of metadata. Access now to see how this data platform can help your enterprise turn your data swamp into a data lake.
This case study explores how MTS Allstream resolved the disconnect between the information they were storing and their ability to analyze this data. Access now to learn more about the enterprise-grade analytics platform they leveraged to revolutionize fraud management.
This e-book explores 3 common core system migration pitfalls that must be addressed to prevent project failure. Discover what migration approach is the best fit for you and access 5 key considerations before undertaking your project.
In this white paper you will discover a data quality system that can help your organization ensure consistency, accuracy and most importantly, visibility into the health of your data controls.
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