7 key traits to future-proof organizations and data management

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"65% of new spending in analytics will use an event-driven architecture and streaming pipelines to ingest data, process data, evaluate and score predictions, make decisions and initiate actions by 2021.

IDC FutureScape: Worldwide Analytics and Artificial Intelligence 2019 Predictions"

Why does modern data management matter? It is a means by which data can be delivered to those who can best use it, analyze it and make decisions based on it in an agile and timely manner. A modern data management requires the optimized management of data pipelines to support real-time decision making - which of course, is easier said than done.

Analytics are only as useful as the agility of the data architecture that supports it.

Data virtualization is a critical component of a modern analytics architecture, helping IT users manage diverse, siloed and fast-changing data sources, and making data accessible for business users looking for insights.

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7 key traits to future-proof organizations and data management

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What is modern data management and what are the 5 success areas

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How data virtualization solves the common challenges facing CIOs and CDOs across the globe

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How data virtualization has helped companies improve service, ensure compliance and reduce costs in real success stories

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7 key traits of a modern analytics architecture and the steps to become a true data leader

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A snapshot of the countries taking the lead in data management across Asia Pacific