Business Objectives Data Governance Data Integration 
erwin
NOVEMBER 6, 2020
Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.
BI-Survey
FEBRUARY 17, 2020
Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy.
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CIO Business Intelligence
MARCH 19, 2025
Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. Additionally, 97% of CDOs struggle to demonstrate business value from sustainability-focused AI initiatives.
AWS Big Data
OCTOBER 21, 2024
Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics. The following diagram illustrates this architecture.
erwin
MAY 27, 2020
Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. Data siloes, of course, are the enemies of data governance.
AWS Big Data
JUNE 25, 2024
It provides secure, real-time access to Redshift data without copying, keeping enterprise data in place. This eliminates replication overhead and ensures access to current information, enhancing data integration while maintaining data integrity and efficiency.
datapine
FEBRUARY 22, 2022
To succeed, a deployment must have the support of key business areas, from the get-go. IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. But every stakeholder and their respective business areas should also be involved throughout the process.
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