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.
March 6, 2018
A lake or cloud can breathe new life into established enterprise data architectures (data warehouses, marketing channel data, digital supply chains) or create new and different ones (analytics labs and sandboxes, ecosystems of cloud-based operational applications). This report discusses the leading data management (DM) best practices you need for data lakes to be successful when deployed in the cloud.
February 21, 2018
Data products are not a new idea; data aggregators have been producing purchasable data sets for decades. However, as organizations have become motivated to be “data driven,” the concept of a “data product” has rapidly morphed into different shapes, including packaged data sets, lightweight API-based services, directly connected end-user visualizations, and full-blown access to hosted reporting and analytics dashboards.
February 1, 2018
This Checklist discusses seven key considerations to help organizations focus their evaluation and develop a strategy for gaining value from open source technologies to support faster, more powerful, and more flexible analytics.
This TDWI Checklist Report drills into seven recommendations and discusses many of the new vendor product types, their functionality, and user best practices that can contribute to data integration modernization. It also presents the business case and technology strengths of each recommendation.
To help the reader understand the ongoing evolution of data management—in response to new requirements around big data and analytics—this report provides a checklist of data management practice areas that are most affected. In addition, the report relates new practices to existing ones, indicating when to use which one.
This Checklist Report discusses what your enterprise should consider before diving into a data lake project, no matter if it’s your first or second or even third major data lake project. Presumably, adherence to these principles will become second nature to the data lake team and they will even improve upon them at some point.
This Checklist offers seven best practices for formulating a strategy to derive and deliver actionable customer intelligence. The practices are aimed at helping organizations turn their increasingly voluminous data riches into competitive business advantage.
Download this report to learn about the emerging technologies and methods (ETMs) that apply to business intelligence, analytics, and data warehousing. Discover how ETMs can support innovation in business processes, customer management, competitiveness, IT best practices, and the business leverage of data.
To help readers succeed in their cloud
data warehousing projects, this checklist identifies the benefits the
cloud offers, offers potential use cases, and presents key criteria for
using and choosing a cloud solution for data warehousing.
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