This report describes the five key technical architectural requirements that any platform for data warehouse modernization must satisfy.
This TDWI Insight Accelerator focuses on customer analytics practices and how organizations must adapt them to increasingly stringent requirements for getting customer and consumer consent.
Although the traditional on-premises reporting and analytics platforms have served organizations well over the past few decades, key stakeholders have begun to recognize the need to adjust to a demand for automated decision support systems that
are more agile, more scalable, and support a wider variety of data types and speeds.
Download this report to learn why sales must follow other areas of an enterprise and invest in analytics to make the best use of its current and future data sources to develop new insights and action.
This new TDWI Insight Accelerator focuses on how modern data management platforms and techniques enable reporting at scale.
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.
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