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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Curate the data.

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Cloud analytics migration: how to exceed expectations

CIO

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

Analytics 146
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The future of data: A 5-pillar approach to modern data management

CIO

In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.

Data 167
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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

In 2025, data management is no longer a backend operation. It has become a strategic cornerstone for shaping innovation, efficiency and compliance. This article dives into five key data management trends that are set to define 2025. This reduces manual errors and accelerates insights.

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Monetization Monitor: Software Usage Analytics 2020

Efficient usage data collection and analytics can open up significant possibilities for suppliers. Top findings include: Growing Interest in Usage Data. 60% collect usage data; a total of more than 75% will do so in the next two years. Benefits & Challenges of Data Collection.

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Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Take, for example, a recent case with one of our clients.

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Build a strong data foundation for AI-driven business growth

CIO

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

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Start Taking Your Embedded Partnerships Seriously

At every step of the way, we offer development teams the tools they need to make their premier analytic applications faster, more efficient, and all with fewer resources than ever before. That means easy embedding, data integrations, seamless automation, total security, and much more.