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This new TDWI Insight Accelerator focuses on how modern data management platforms and techniques enable reporting at scale.
Understanding and applying better metadata management can help with BI reporting, analytics, data governance, migration, and regulatory adherence.
As organizations move to build and deploy predictive analytics models, they need to determine which kinds of tools to use—commercial versus open source (or both). Some important advantages and disadvantages of open source for analytics are explored in this report.
This TDWI Insight Accelerator focuses on the technical requirements, benefits, emerging trends, and recommendations for deploying a data lake on a cloud platform.
Supporting the marketing function requires attention to a number of technical challenges. Addressing these challenges requires a platform that can adapt to the rapidly evolving universe of marketing tools, services, and data sources. Because many of these services are hosted in the cloud, the logical first approach would be to consider a cloud data warehouse.
Organizations today increasingly depend on analytics to drive strategic and operational decisions. To fuel innovation and improve customer experiences and engagement across channels, organizations are laser-focused on using state-of-the-art data platforms and analytics technologies to extract value from an ever-widening selection of data. However, one issue could bring analytics in your organization to a halt: the inability to properly secure, protect, and govern sensitive data. Read this new report from TDWI Research to learn how to keep your data secure while it's being worked with.
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?
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