Data Governance Digital Transformation Interactive Metadata 
Cloudera
AUGUST 3, 2021
Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Digital Transformation is not without Risk.
Alation
JULY 26, 2021
Beginning a digital transformation journey in a big organization can feel daunting. How do you initiate change within a system containing many thousands of people and millions of bytes of data? So you can probably imagine: The company manages a lot of data. AmFam first implemented the Alation Data Catalog in 2018.
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Jen Stirrup
MARCH 29, 2023
By providing a unified view of the data, the semantic layer helps ensure that different users and reports use consistent definitions and calculations, thereby helping to provide a single view of the customer. The new SAP Datasphere catalog provides data lineage, metadata information, and quick searching capabilities across your SAP landscape.
Ontotext
MAY 16, 2024
The opportunities exist when you gain the trust across stakeholders that there is a path to ensure that data is true to original intent, defined at a granular level and in a format that is traceable, testable, and flexible to use. It is both essential and meaningful because it drives organizational priorities.
erwin
SEPTEMBER 6, 2021
To combat dark data and shine a light on available data, many organizations are turning to data intelligence software. The more complete the picture of an organization’s data landscape, or the less dark data inside, the better IT can manage and protect data as an asset. Data governance teams.
erwin
FEBRUARY 19, 2021
Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.
erwin
OCTOBER 29, 2020
Automating data governance is key to addressing the exponentially growing volume and variety of data. Data readiness is everything. The State of Data Automation. Data readiness depends on automation to create the data pipeline. We asked participants to “talk to us about data value chain bottlenecks.”
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