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Redefining the role of IT in a modern BI world

As self-service analytics becomes the norm, the role of IT is evolving from a producer to a strategic partner. IT professionals are helping their organizations transition from a traditional top-down approach to analytics driven by IT to a self-service approach enabled by IT and led by the business. This change requires a new framework and overall strategy. Organizations must revisit past decisions supporting the core foundational components of a BI program—people, process, and platform—and make adjustments, as outlined in this paper.

Architecting for IoT: The Need for an IoT Data Platform

We are witnessing the instrumentation of every available surface in the material world — streets, cars, factories, power grids, ice caps, satellites, clothing, phones, human bodies. These devices generate more data than we have ever experienced. Because of this, the Internet of Things creates an opportunity to measure, collect and analyze an ever-increasing variety of behavioral statistics. This data is streaming in real-time and it will force companies to determine which IoT platform architecture will be resilient, scalable, and extensible enough to handle these new workloads.

7 Reasons Why an External Cache is a Bad Choice

Putting a cache in front of your NoSQL database is often seen as the only way to get the backend performance required for data-intensive apps. But it is an expensive way to resolve or mask problems in an underlying database. Discover the common pitfalls of using external caching and get real-world examples of companies that successfully eliminated their external cache.

The State of the Data Race

We surveyed more than 500 CIOs and technology leaders and uncovered key attributes of “data leaders”—companies that excel at using data to deliver value to customers and derive at least 20% of revenue from data and analytics. Read "The State of the Data Race 2021" to learn: What leading organizations do to improve the customer experience and boost revenue with data, the important role that open source technologies play in advancing organizations’ success with data and key steps that organizations take to move toward the level of the highly successful data strategies used by leaders.

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