IBM Big Data Hub
JANUARY 5, 2023
Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.
Cloudera
JULY 29, 2022
Similarly, data should be treated as a corporate asset with a dedicated long-term strategy that lets the organization store, manage, and utilize its data effectively. When it comes to FSI, one of the key findings from the report is the importance of risk management and regulatory compliance when it comes to data management.
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erwin
JULY 12, 2019
In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Manage policies and rules. Govern PII “in motion”.
IBM Big Data Hub
FEBRUARY 9, 2023
Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Data governance is a crucial aspect of managing an organization’s data assets. Don’t try to do everything at once!
Cloudera
JANUARY 5, 2023
In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. Here are three key trends that will likely dominate the priorities of APAC’s business leaders in the coming year.
Ontotext
FEBRUARY 12, 2024
This promotes data autonomy and enables decision-making about data domains without centralized gatekeepers. It also breaks down the code and data monolith and distributes it across the domain teams, which results in better management and scalability. What does data mesh do that other approaches can’t?
IBM Big Data Hub
JUNE 30, 2022
The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. 5 recommendations for a data strategy in the new multi-everything landscape.
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