Cost-Benefit Data Governance Demo Digital Transformation 
Alation
NOVEMBER 4, 2022
In this blog we’ll describe digital transformation: how it can be achieved as well as how it can benefit your business. What does it mean to undergo a digital transformation? At its core, digital transformation is simply incorporating digital technology into one’s business.
erwin
APRIL 16, 2021
Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability.
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erwin
APRIL 2, 2021
How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Data Security Starts with Data Governance. Minimizing Risk Exposure with Data Intelligence. erwin Data Intelligence.
erwin
SEPTEMBER 29, 2021
While that goal sounds straightforward, modern enterprises are facing challenges in achieving it because so much data is inaccessible, poorly understood or completely unknown. Many Quest customers are already leveraging our best-of-breed tools for data operations, data protection and data governance. Register now!
erwin
DECEMBER 12, 2019
Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.
Alation
DECEMBER 9, 2021
Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. What is Cloud Transformation? Enhanced Cost Management.
erwin
DECEMBER 12, 2019
Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.
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