This TDWI Checklist Report discusses the ways in which design thinking can produce more effective BI and analytics solutions and reduce user frustration with ineffective tools.
December 22, 2017
This TDWI Best Practices Report examines how organizations become data-driven, including patterns for building out infrastructure for managing data and driving analytics. It also examines the best practices of those organizations that are data-driven across three areas we believe are important: technology, analytics, and organization.
December 22, 2017
As the importance of self-service solutions for BI, analytics, and data preparation continues to grow, the emphasis is no longer only on centralized, full-time data professionals and their institutional knowledge. We also must find a way to support the business’ needs with better-documented data assets. For many organizations, this is a data catalog.
December 8, 2017
Data blending isn’t simply a matter of throwing data together; issues like data quality still need to be addressed. This Checklist Report
focuses on helping organizations understand the steps and features that are part of data blending.
This Checklist Report focuses on helping organizations demystify several cloud BI issues. It examines the models emerging as
companies adopt the cloud.
This TDWI Checklist Report will help your organization prepare for in-memory computing by discussing how it improves application performance. In-memory computing enables the peaceful coexistence of transaction processing and analytics without demanding data extraction, transformations, rampant replication, and heterogeneous computing platforms.
This TDWI Checklist Report details six areas where small and midsize businesses (SMBs) should focus as they move beyond spreadsheets to improve capabilities for gaining data insights.
Big data analytics is about applying advanced methods and technologies to derive insights from very large and diverse data sets that often include varied data types and streaming data. This TDWI Checklist Report discusses steps for realizing value from big data and analytics for better customer intelligence.
Tools from new vendors incorporating new big data technologies (such as Hadoop) for distributed and parallel computing and NoSQL data management are rapidly being evaluated and brought into
organizations. At the same time, numerous vendors of traditional platforms are offering the same or similar new technologies that are more robust and have more enterprise-ready capabilities than the new technologies can provide. This Checklist Report offers several important items to consider for your data management infrastructure, whether your implementation is on-premises, in the cloud, or a hybrid.
Download this report to learn how business-side leadership can step up to ensure that chaos does not reign in the era of less direct IT involvement, and provide direction for the adoption of new technologies and practices for the betterment of the enterprise as a whole.
Individual, Student, & Team memberships available.