Businesses can only seize new data-driven opportunities if they recognize sensitive data and handle it responsibly. This report focuses on how targeted improvements to specific data management best practices and technology can contribute significantly to your success with GDPR compliance, as well as data governance and data-driven programs in general.
Time spent cleaning data is eating away at the time available for analysis. What steps can your enterprise take to get analytics back on track?
For organizations struggling to modernize their DM efforts, the intelligent integration hub provides a flexible and scalable foundation. This TDWI report examines the attributes and use cases of the intelligent integration hub.
All organizations, no matter how big their budget, must overcome barriers in order to realize value from data faster. Those that have historically experienced centralized, IT-centric BI implementations must transition to flexible environments that embrace the increased use of self-service technologies.
Augmenting the conventional EDW design with Hadoop and Hive can help optimize your EDW by expanding usability, improving performance, improving results, and reducing overall costs.
When numerous diverse data platforms are integrated for multiple use cases, it is called a hybrid data ecosystem (HDE), a concept invented and popularized by Enterprise Management Associates (EMA) in 2012. An HDE provides options for rapidly diversifying data and its business use. Despite the extreme complexity and challenges, users are succeeding with HDEs. This TDWI Checklist Report drills into the data requirements of the HDE with a focus on the role of data virtualization.
The growing adoption of cloud computing and software-as-a-service (SaaS) is merging with easier-to-use business intelligence and analytics tools to allow more users to interact with and analyze data. This Checklist Report discusses seven recommendations to help organizations be successful sooner in enabling a data-driven culture through visual, easier-to-use business analytics.
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